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528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ijdb3 | Approximately 200 small enhancements that aren t worth a bullet point. LOL! Love it! | NoT-RexFatalities | 2016-09-11 19:18:25 | 44 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ijqs2 | Going to try and clean up Additional Autopilot Release Notes formatting * TACC braking max ramp rate increased and latency reduced by a factor of five * Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events * Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially * Car offsets in lane when overtaking a slower vehicle driving close to its lane edge * Interface alerts are much more prominent including flashing white border on instrument panel * Improved cut-in detection using blinker on vehicle ahead * Reduced likelihood of overtaking in right lane in Europe * Improved auto lane change availability * Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings * Automatic braking will now amplify user braking in emergencies * In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated * With further data gathering car will activate Autosteer to avoid collision when probability ~100% * Curve speed adaptation now uses fleet-learned roadway curvature * Approximately 200 small enhancements that aren t worth a bullet point | BraveRock | 2016-09-11 19:25:48 | 39 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ik17s | A couple thoughts I have still. My other comments here about RADAR vs. LiDAR typically get downvotes because nobody wants to believe verifiable facts...but here we go. My fear with RADAR imaging is the acquisition rate. I ve mentioned this before and people argued with me that it s just as good as LiDAR. But here we have it from Elon himself. Each frame takes about 0.1 seconds to acquire and it takes _multiple_ frames to determine object motion vs. vehicle motion. For reference because 0.1s is hard to visualize. At 60mph a vehicle covers 8.8 _feet_ in 0.1 seconds. At 70 this rises to 10.2 feet and at 80 MPH a vehicle will cover 11.7 feet in 0.1 seconds. So even assuming it would require only 2 frames of data to determine motion you re closing 20-23 feet of distance. That amount of distance in braking time is the difference between an emergency stop and a collision. On the other hand current (expensive though) LiDAR has an acquisition rate of ~20Hz (0.05s)...about double the rate. At 60 MPH you will close a little bit more than 5 feet of distance on an object in that time. Check out this document to see the formula to calculate stopping distances and more importantly to see the time required to stop a vehicle traveling at highway speeds. I _seriously_ hope Tesla isn t considering abandoning the visible light camera system and hopefully they can work with Bosch to get faster acquisition of RADAR images...but honestly I hope they work on getting LiDAR technology down to a very cheap cost and then put all three into their vehicles. Other than this honestly Tesla is doing awesome things here and quite literally saving human lives. There are few causes more noble than that and I absolutely can not _wait_ to get my hands on a Model 3. Hopefully at some point in the not too distant future Tesla will have a complete automation package that they can license to other vehicle manufacturers and the daily commute hope will be much safer for more people around the world! EDIT: Okay enough of you are missing a few points that I should clarify. TL DR: Tesla is doing amazing work here I would like to see LiDAR _ADDED_ to the sensor suite to make it even better. But only after the cost of LiDAR is reduced. I m not claiming humans are better than machines at driving. Please stop asking about this. Humans are terrible drivers. Period. End of story. A car with _just_ the MobileEye system (which Tesla is replacing with something else) is vastly superior to humans. I m not interested in discussing human vs machine reaction time. Again Tesla is saving the lives of humans both inside and outside the vehicle. Keep that in mind. They are doing great work here. Great work can always be better. That doesn t mean I disagree with what they do or think it s not good work. Sometimes it can be BOTH a and b people. It can both be good _and_ need improvement. | WellAdjustedOutlaw | 2016-09-11 19:31:44 | 37 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ijs4b | This is an amazing update! Really incredible the amount of work that appears to have gone into 8.0. I m excited about all of it but the single biggest adjustment that will ease my AP anxiety is the automatic lane offset when overtaking vehicles that are close to the edge. I can t even count how many times I ve disabled AP because it s getting WAY too close to the car next to me while we pass it. This should help tremendously and make AP more relaxing. | WhyDontTheyAMA | 2016-09-11 19:26:36 | 36 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ikrsb | I m glad this was a proper tech focused blog post instead of marketing bumf. I mean... that means I don t understand a good 40% of it.. but I m still glad it s like this. | Randomd0g | 2016-09-11 19:46:26 | 30 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ikmij | A lot of people are underestimating how significant this new update is. Tesla s just got a second pair of eyes basically. | dmy30 | 2016-09-11 19:43:29 | 29 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7i8kba | These things are so much more intense when you have a car on order already. Fingers and toes crossed he says something like all cars leaving the plant starting tomorrow will ship with ap 2.0 . Or something | CashOverAss | 2016-09-11 15:22:15 | 28 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7if4nm | is there any possibility to watch the press conference? | Dropcunts | 2016-09-11 17:52:46 | 16 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7iiued | Thanks for the update Fred reading the updated blog makes me realize how complex autopilot is. I have a new appreciation for the work that goes into it. | mingdizzle | 2016-09-11 19:07:38 | 15 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ipwqx | Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Most important piece to me is actually that 8.1 will follow the nav system. | needaname1234 | 2016-09-11 21:34:17 | 15 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ijbgf | > In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated That is the one I think is the most interesting. | BraveRock | 2016-09-11 19:17:22 | 13 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ihsko | Looks like all the info is being tweeted by https: twitter.com vincente | billyandika | 2016-09-11 18:46:20 | 12 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7irt76 | I haven t seen anyone mention this yet (mostly because having all these threads in a single post sucks and trying to find anything is impossible) but what about the improved cut-in detection? So the car is now going to detect when a car in an adjacent lane puts its blinker on to move into your lane so it can better account for those events? That is badass!!! I have to say someone cutting into my lane in stop-and-go traffic is consistently the worst part of autopilot. It doesn t do a great job today of detecting vehicles off the front quarter panels coming into my lane. If Tesla can crack this it s a huge milestone for AP 1.0. | mandevu77 | 2016-09-11 22:16:54 | 12 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7itbsv | As a frequent pedestrian I shall start carrying a wok with me when I er walk. | haemaker | 2016-09-11 22:52:16 | 12 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ia2xt | FYI by googling 11AM PDT you should get the time in your time zone. | JKJ420 | 2016-09-11 16:01:11 | 11 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7i8jp5 | 18:00 UTC and 19:00 UTC. | peterfirefly | 2016-09-11 15:21:49 | 9 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ikhqs | > This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. So what happens if you are using Autopilot and you meet these overhead signs rises and dips but very few other Teslas have driven by that place so there aren t many data points? Does the car brake? | achow101 | 2016-09-11 19:40:48 | 9 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ijzn6 | This is the first known use of fleet learning I think. Next use will be to crowdsource the source of those damn potholes! | daingandcrumpets | 2016-09-11 19:30:50 | 8 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ikudd | * Reduced likelihood of overtaking in right lane in Europe ...but presumably left lane in the UK. I was confused for a few minutes but then remembered that we re the backwards ones! * Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially ...it ll be interesting to see what it does in 8.1 if you re not in the near side lane to exit but the nav wants you to. It ll probably ignore the exit unless you lane change over there manually . | UniverseFromN0thing | 2016-09-11 19:47:51 | 8 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ifsjm | Soooo has it started? | jaxsoccer24 | 2016-09-11 18:06:04 | 7 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7il5z1 | This is great stuff. I wonder if you could eventually use the RADAR and camera fusion to create a stereoscopic view (if it s even necessary)? The lateral movement and temporal smoothing may create enough depth information. It s clear that this was a driving force in the split with Mobileye s reliance on cameras as a primary sensor. Considering all these upgrades and already talk of 8.1 I think this pushes out a hardware AP upgrade even further. Based on today s comments there is still plenty of room to learn and grow using this new sensor system. To me it would be shortsighted to finalize a new sensor suite without first getting the real-world data from this radar setup for a good 6 months or more. But what a pleasant surprise that Bosch with new drivers was able to get such a significant performance increase out of existing hardware. Awesome news for all AP owners. It seems like the only things we re really going to be missing until the next generation hardware suite will be (1) 90 degree turns with a better FOV (2) camera radar redundancy (3) either radar or a camera for fast accelerating cars during lane changes. I m also curious how this alters the timeline on red light and stop yield sign detection. | 22marks | 2016-09-11 19:54:22 | 7 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ip95f | Are we going to see any of the Q& A here? | ebob5030 | 2016-09-11 21:19:39 | 7 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ih6rx | Has temporal smoothing (RADAR) come to fruition in this version? Is SAR a possibility in the future? | Mathiaslink | 2016-09-11 18:33:40 | 6 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7ijevb | What stood out to me: - Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially - With further data gathering car will activate Autosteer to avoid collision when probability ~100% - Approximately 200 small enhancements that aren t worth a bullet point Lol. | catsRawesome123 | 2016-09-11 19:19:16 | 6 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7iakpt | Given that the price of the autopilot feature was silently bumped up by $500 when the P100D was announced my prediction is that all production at that time began to include the new AP2.0 hardware. | jsherwani | 2016-09-11 16:13:12 | 5 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7iiwqn | Final paragraph of AP blog post: Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front - using the radar pulse signature and photon time of flight to distinguish the signal - and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. I wonder when that will be released? | Bwa_aptos | 2016-09-11 19:08:52 | 5 | Miscellaneous Tesla Topic |
528o9s | [Official Thread] Tesla Elon Blog Post about Autopilot and v8.0 - please keep all posts in here | Elon said that he will hold a press conference at 11am PDT (2pm EDT - 6pm UTC) and that a blog post will go live on Tesla at 12pm PDT (3pm EDT 7pm UTC). He is expected to discuss Autopilot and the upcoming v8.0 update. I will update with the full blog post here as soon it becomes available. Please keep all posts and discussion related to the announcement here. Thanks and have a great Sunday! ______________________________ **Upgrading Autopilot: Seeing the World in Radar** While there are dozens of small refinements with Version 8 of our software described in addendum below the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite but was only meant to be a supplementary sensor to the primary camera and image processing system. After careful consideration we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem because of how strange the world looks in radar. Photons of that wavelength travel easy through fog dust rain and snow but anything metallic looks like a mirror. The radar can see people but they appear partially translucent. Something made of wood or painted plastic though opaque to a person is almost as transparent as glass to radar. On the other hand any metal surface with a dish shape is not only reflective but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road with its concave bottom facing towards you can appear to be a large and dangerous obstacle but you would definitely not want to slam on the brakes to avoid it. Therefore the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury. The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object. The second part consists of assembling those radar snapshots which take place every tenth of a second into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path the car can tell if something is real and assess the probability of collision. The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes it is too late to brake. This is where fleet learning comes in handy. Initially the vehicle fleet will take no action except to note the position of road signs bridges and other stationary objects mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object whether Autopilot is turned on or off then that object is added to the geocoded whitelist. When the data shows that false braking events would be rare the car will begin mild braking using radar even if the camera doesn t notice the object ahead. As the system confidence level rises the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants. The net effect of this combined with the fact that radar sees through most visual obscuration is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions. Taking this one step further a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog but the Tesla will not. __________________________________________ Additional Autopilot Release Notes TACC braking max ramp rate increased and latency reduced by a factor of five Now controls for two cars ahead using radar echo improving cut-out response and reaction time to otherwise-invisible heavy braking events Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially Car offsets in lane when overtaking a slower vehicle driving close to its lane edge Interface alerts are much more prominent including flashing white border on instrument panel Improved cut-in detection using blinker on vehicle ahead Reduced likelihood of overtaking in right lane in Europe Improved auto lane change availability Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings Automatic braking will now amplify user braking in emergencies In manual mode alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated With further data gathering car will activate Autosteer to avoid collision when probability ~100% Curve speed adaptation now uses fleet-learned roadway curvature Approximately 200 small enhancements that aren t worth a bullet point | FredTesla | 2016-09-11 14:14:31 | 223 | d7im7y8 | I have not understood how Tesla is going to solve the problem of encountering high reflective objects that can blind the radar or make them seem much larger than they are. Even if they integrate the signal over multiple samples the object is still very reflective. Lidar would be the ideal main sensor if it wasn t for its poor performance under rain fog or snow. | nachx | 2016-09-11 20:15:08 | 5 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnd4sj | If I had to summarize this quarter it would be four things. * They solved the China issue. Demand is strong there. * Autopilot has created big bump in demand from potential customers * Model X released has caused an increase in both Model X and Model S order rates implying no cannibalization. * Strong demand for Telsa Energy. Accelerated plans to expand manufacturing capacity | yutz23 | 2015-11-03 21:32:48 | 26 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnczn9 | Suck on that Bob Lutz! | rypalmer | 2015-11-03 21:28:32 | 23 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngdtg | Elon: We will put some additional constraints on when Autopilot can be activated after mentioning some crazy Youtube videos that they dont recommend support | dieabetic | 2015-11-03 22:49:36 | 20 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnc38s | Although it is too early to draw firm conclusions this supports our belief that Model X expands the market for Tesla vehicles with little to no cannibalization of Model S. That s huge | yutz23 | 2015-11-03 21:09:20 | 18 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnh96j | Newer drive unit how is quality level vs. previous bigger drive unit for first few years? Elon: We are very happy with quality of the drive units. We changed durability from 200K miles to 1 million miles. We want drive units that never wear out. Drive units going out over the last several months have been excellent. Drive unit issues were related to earlier production issues Elon: There was one period of time just before we transferred to automatic grease injection there were some issues with not enough grease in the unit that cause pre-mature wear | dieabetic | 2015-11-03 23:13:04 | 17 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnghu6 | Elon: every week approx 20 engineering changes made to the car. Constant updates weekly. Model years don t matter as much compared to other manufacturers | dieabetic | 2015-11-03 22:53:52 | 16 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngph6 | Elon on AP and errors: It shouldnt be a surprise that there are some errors it is Beta release. The system will learn over time and get better... it is getting better with each passing week. We expect that learning to accelerate. It ll start to feel quite refined within a few months | dieabetic | 2015-11-03 22:58:08 | 16 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhirk | 99% of the Model X is ready for high production 1% is not - and that is what drives the production rate. That is what is really challenging. You don t know what those issues will be in advance. Production will move as fast as the least productive supplier and there are issues with that around the world. There are several thousand suppliers. | dieabetic | 2015-11-03 23:19:28 | 15 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwn21fo | I hope they reaffirm a March unveiling for Model 3. | bret_with_1_t | 2015-11-03 17:18:56 | 14 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhlcn | Elon: It s now obvious to consumers that gasoline and diesel cars have real world emissions that are above that in testing. We expect regulators will no longer turn a blind eye to these issues. The costs to produce gasoline cars will increase... I expect the car companies will accelerate their plan to make EVs which is great. | dieabetic | 2015-11-03 23:21:36 | 13 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnbupv | letter: http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf | FredTesla | 2015-11-03 21:02:56 | 12 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhenq | In 20 years choosing a non-autonomous car will be like choosing a horse. Is what he just said more or less. | rosinchard | 2015-11-03 23:17:20 | 12 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnc1z0 | Biggest piece of news from the shareholder letter IMO: > We have also accelerated plans to begin cell production for Tesla Energy products at the Gigafactory by the end of 2016. This is several quarters ahead of our initial plan. Also > Model 3 unveiling planned for late March 2016 | sdoorex | 2015-11-03 21:07:12 | 11 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngs57 | Model X: to be precise expect several hundred per week Model X production by next month. Hard to predict exact number because we are on exponential increase... Issues are a bunch of little things. Doors seals second row seats are both constraints at this time. | dieabetic | 2015-11-03 23:00:16 | 11 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhbdp | Elon: Hope to exceed 30% gross margin on S X vehicles within 18 months. Includes production efficiency material costs economies of scale helping overhead costs. | dieabetic | 2015-11-03 23:15:12 | 11 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnc043 | It s a beat. Stock is up!!!! | yutz23 | 2015-11-03 21:07:12 | 10 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwng795 | Elon s aspiration (he is hesitant to say this) is to be positive cash-flow in Q1 2016 | dieabetic | 2015-11-03 22:45:20 | 10 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhosm | stock is up almost $20 after hours | weymaro | 2015-11-03 23:23:44 | 10 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhw6r | We are still aiming to have Model 3 in about 2 years. | dieabetic | 2015-11-03 23:30:08 | 10 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwniru6 | really hope we have a short squeeze tomorrow. | bobbyducati | 2015-11-03 23:53:36 | 10 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnfm37 | As soon as Model 3 is open for reservation I will reserve two. Also have a Model X on order. Can t wait to sit in my Model X and Model 3 and watch the cars drive them selves. | Bobsky2 | 2015-11-03 22:30:24 | 8 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnfxxi | Model X they hope to have production of a few hundred per week by end of year | dieabetic | 2015-11-03 22:38:56 | 8 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngenq | Elon laughing and not answering the cut off the middle man in autonomous fleet.. is making me think! | miculis | 2015-11-03 22:51:44 | 8 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngyp2 | They are going to recruit tool and mold stamping specialists to Tesla Michigan so they can take more production in-house to save costs. | dieabetic | 2015-11-03 23:04:32 | 8 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhdxj | How central is auto-pilot to your long term goals? Elon: All cars will go fully autonomous in the long term. ...within 20 years and Tesla will be far ahead of that. Any cars that DONT have full autonomy in the future - that will be a negative | dieabetic | 2015-11-03 23:17:20 | 8 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngape | lol... there s something in the oven! | silverwolfe08 | 2015-11-03 22:47:28 | 7 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnhrb8 | We had higher inventory in Q3 to expect increased deliveries in Q4. Increase in inventory is demand-based. | dieabetic | 2015-11-03 23:25:52 | 7 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwmub2b | 2015 guidance is going to be a hot topic. 50k looks difficult at this point I think they might revise it to something like 48k-50k. | StapleGun | 2015-11-03 13:56:16 | 6 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnfp46 | It is starting. | FoxhoundBat | 2015-11-03 22:32:32 | 6 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwng1b0 | Elon is being more cautious with production estimates for Model X and Powerwall numbers because of exponential increase in orders. Color me impressed Elon - did you finally learn your lesson? | dieabetic | 2015-11-03 22:41:04 | 6 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwngde5 | Autopilot constraints coming to stop people from doing crazy things. | annerajb | 2015-11-03 22:49:36 | 5 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnglii | Adam Jonas prying again for 2nd quarter in a row about Tesla s involvement in a fleet of autonomous vehicles to provide ride sharing transportation services. Elon has punted on it twice now. What do we think the long term play is here? Summon a Tesla from an app on your phone and take a driverless taxi somewhere? Where does the revenue come from? Charging fees to users that go directly to Tesla? Interesting stuff.... Edit: Adam Jonas not Jones | nodea5 | 2015-11-03 22:56:00 | 5 | Miscellaneous Tesla Topic |
3rcnpt | [Official Thread] Tesla Q3 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p 8a8sg5vu) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x858516 F50A9FAF-BA73-4263-8E16-DE1FAC0BABDF Q3_15_Shareholder_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s consensus is $1.21 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial analyses crowdsourcing website predicts $1.23 billion in revenue. Here s the website s predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jB0yqhe.png) **Earnings** In term of earnings per share or rather loss per share the Wall Street consensus is a loss of $0.53 for the quarter while Estimize s prediction is a loss of $0.49 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com LuVGG2c.png) _________________________ Have fun and please respect the rules or whatever... | FredTesla | 2015-11-03 13:47:44 | 59 | cwnho16 | We have accelerated Tesla Energy products at Gigafactory - that recently happened. We do expect cell production will start second half of next year. Initially those will be for Tesla Energy products we expect in 2017 cells will go into cars including Model 3 | dieabetic | 2015-11-03 23:23:44 | 5 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czuu881 | Hey u FredTesla I just want to tell you that we all appreciate your continued support. You are always on top of things. Thank you | Thomasly | 2016-02-10 15:55:34 | 29 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv8c79 | We plan to invest in equipment to support cell production at the Gigafactory begin installation of Model 3 vehicle production machinery open about 80 retail locations and service centers and energize about 300 new Supercharger locations. | garthreddit | 2016-02-10 21:21:37 | 20 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv94kn | * 2013: 22 442 * 2014: 31 655 (41% growth) * 2015: 50 595 (60% growth) * 2016E: 80-90k (58 - 78% growth) Yep sure looks like demand has peaked! All joking aside I think 2016 might start giving us a peak at what Model S demand is. Excellent forecast. | yutz23 | 2016-02-10 21:39:28 | 19 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv861h | Forecast 80-90k vehicle deliveries in 2016. | yutz23 | 2016-02-10 21:17:48 | 18 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvbfll | Positive cash flow starting next month! | toomuchtodotoday | 2016-02-10 22:33:40 | 18 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvdw32 | no new factories needed to support 500k cars a year and the gigafactory will have a leftover 15gwh for stationary storage. | annerajb | 2016-02-10 23:36:57 | 13 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv24tk | Went in with 200 shares today. In it for long haul but fingers crossed nonetheless! | screen317 | 2016-02-10 18:59:58 | 12 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvd4t6 | BOA would ask what Tesla s plans are for planned obsolescence. | Youthz | 2016-02-10 23:16:41 | 12 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv8w2o | $TSLA says it will unveil the model 3 on March 31st...production deliveries late 2017 | jjlew080 | 2016-02-10 21:34:06 | 10 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv99ht | Up 13% after hours woah! | darci480 | 2016-02-10 21:42:33 | 10 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv99mx | An important point for many worried about Tesla s cash burn – Company says it will be net cash flow positive in 2016. | jjlew080 | 2016-02-10 21:42:38 | 9 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvbrb7 | New paintshop for 10000 cars a week -> 520k cars a years. Yey! | darci480 | 2016-02-10 22:41:29 | 9 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czupekc | Here we go again! | Frumpiii | 2016-02-10 13:31:33 | 8 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czva7u0 | > Additionally we continue to see no perceptible impact to our order growth from the change in the price of gasoline as our order rates have continued to increase even as the price of gasoline has fallen. In fact our customers tell us they value a Tesla vehicle more for its superior performance technology safety lower environmental impact and style than for its ability to save money on fuel. | TheKrs1 | 2016-02-10 22:04:18 | 8 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvc3c1 | > [Used] Tesla cars are holding their value at a much higher rate than we thought. | pacman1176 | 2016-02-10 22:49:48 | 8 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvbsmz | and he just exercised another set of stock options - purchasing 676 000 shares. Another powerful statement reinforcing faith in Tesla and executing its goals [here.](http: ir.teslamotors.com secfiling.cfm?filingID=1494730-16-5& CIK=1318605) | daingandcrumpets | 2016-02-10 22:42:24 | 7 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv1eh3 | > [please respect the rules... or not I m not your boss...](http: i.imgur.com DsWVQ.gif) | 110110 | 2016-02-10 18:43:23 | 6 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv8ket | Uhhh loss of $2.44 **per share**?? Can someone point out something I m missing? I thought estimates were **gains** of $0.04 per share? | LePorsche | 2016-02-10 21:26:45 | 6 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czvdy5f | Here comes the Chevy Bolt question. | dirtyfries | 2016-02-10 23:38:33 | 6 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czuxr0g | Took the plunge and bought some TSLA this morning. In it for the long haul but I d still love to see it do well today. | thiskillstheredditor | 2016-02-10 17:20:07 | 5 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv04px | What s the margin on stationary battery packs? | preseto | 2016-02-10 18:14:29 | 5 | Miscellaneous Tesla Topic |
452nkf | [Official Thread] Tesla Q4 2015 financial results and conference call [results at market close ~4pm ET - call at 5:30pm ET] | It s earnings day everyone! As usual please keep all posts and links related to the earnings and conference call to this thread in order to limit similar posts on the sub. You can change your comment sorted by option to new in order to more easily follow the conversations. Last time we had over 300 comments so it might be a good idea... The shareholders letter will be available after market close [here](http: ir.teslamotors.com events.cfm) and you can login [here](http: edge.media-server.com m p nswqxjz3) to listen to the conference call at 5:30 PM ET - 10:30 PM UTC I ll post the shareholders letter and 10Q here as they become available: - [Shareholders letter](http: files.shareholder.com downloads ABEA-4CW8X0 732600650x0x874449 945B9CF5-86DA-4C35-B03C-4892824F058D Q4_15_Tesla_Update_Letter.pdf) - 10Q _______________________ **Revenue** Wall Street s revenue consensus is $1.78 billion for the quarter while [Estimize](https: www.estimize.com tsla?show_confirm=true#chart=historical) the financial estimate crowdsourcing website predicts $1.79 billion in revenue. Here are the predictions for Tesla s revenue over the past 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com jFLShco.png) **Earnings** As for earnings per share or maybe loss per share the Wall Street consensus is a gain of $0.08 per share for the quarter while Estimize s prediction is a gain of $0.04 per share. Earnings per share over the last 2 years – Estimize predictions in blue – Wall Street consensus in grey – Actual results in green: [Imgur](http: i.imgur.com VbdOtu3.png) _________________________ Have fun and please respect the rules... or not I m not your boss... | FredTesla | 2016-02-10 13:23:06 | 80 | czv7t8o | Investor Relations site is slooooow. I wonder how many people are furiously mashing F5 right now now lol | Krippy | 2016-02-10 21:09:48 | 5 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qieg | SOLAR ROOF TO COST LESS THAN REAL ROOF BEFORE SOLAR GENERATION IS ACCOUNTED FOR | Cubicbill1 | 2016-11-17 21:08:54 | 55 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4r3zo | He s laying it down on subsidy haters . Anyone else ever feel like Elon just wants to scream at assholes but just quietly simmers. | dirtyfries | 2016-11-17 21:21:05 | 40 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4rbvy | This woman just proved why they will only curate future Q+A s. | TheKrs1 | 2016-11-17 21:25:35 | 37 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4rb2q | Wouldn t be an Musk press conference without someone pushing their own product. | D0ctorrWatts | 2016-11-17 21:25:08 | 36 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qdzt | Based on the proxies we ve received our shareholders have overwhelmingly approved this merger. Sweet! | Dr_Pippin | 2016-11-17 21:06:25 | 27 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qitc | Solar roof will cost less than a normal roof even without taking into account electricity costs saved | Juggernaut93 | 2016-11-17 21:09:09 | 23 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4rajt | the burning man question is coming.. | frozen_lake | 2016-11-17 21:24:48 | 19 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4ksab | Anyone know when we can get the results of the SCTY part of the vote? | TheKrs1 | 2016-11-17 19:13:38 | 18 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qhpq | Oh shit! Solar roof costs less than standard roof?! Did I hear that right?! | argues_too_much | 2016-11-17 21:08:32 | 16 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qe1e | APPROVED! YES! | Cubicbill1 | 2016-11-17 21:06:27 | 15 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4r8k2 | These are much better questions than the last shareholder meeting. | D-egg-O | 2016-11-17 21:23:40 | 14 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qiqe | Whaaaaaaat?!?! Less than a regular roof? How?!?! | purestevil | 2016-11-17 21:09:06 | 13 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4r465 | Solarcity also approved: [CNBC Article](http: www.cnbc.com 2016 11 17 solarcity-shareholders-vote-on-tesla-merger.html) | claytorj | 2016-11-17 21:21:11 | 12 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4evir | Anyone have experience with how long this decision might take? I m trying to set a stop loss on my SCTY in case it doesn t go through but I m wondering if it will be decided in like 30 minutes or if it ll take a day+. | EndOfTheSquirrel | 2016-11-17 17:14:36 | 11 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qk7t | HOW DARE YOU MAKE ME LAUGH (quite loudly) AT WORK ELON. (just kidding that was a great reaction to that question...) | spacegurl07 | 2016-11-17 21:09:57 | 11 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4rlep | I m guessing that it ll cost less than slate tile metal roofs but I d be surprised if they can bring the price down under that of asphalt shingles. | purestevil | 2016-11-17 21:31:04 | 11 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4q8x0 | Yey! Curated Q& A session with previously submitted questions. Up yours burning man dude! | argues_too_much | 2016-11-17 21:03:31 | 10 | Miscellaneous Tesla Topic |
5dgyl0 | [Official Tread] Tesla-SolarCity merger: live stream of special shareholders meeting [1pm PT - UTC-8] | Please keep all post related to the shareholders meeting here. Thank you! > PALO ALTO CA -- (Marketwired) -- 11 15 16 -- Tesla (NASDAQ: TSLA) shareholders are invited to attend Tesla s Special Meeting of Shareholders which will be held on Thursday November 17 2016 at 1:00 p.m. PT at 901 Page Fremont California 94538 to consider the acquisition of SolarCity Corporation by Tesla. The meeting will also be webcast live to the public at https: www.tesla.com shareholdermeeting. > > Admission Requirements: Proper documentation will be required for admission to the meeting and we will be unable to accommodate anyone who is not a Tesla shareholder. Please arrive early to allow sufficient time to check in and ensure your admission by the start of the event. To be admitted to the meeting you will be required to present: > > Government issued photo identification (such as a driver s license or passport) AND > ANY ONE of the following: > The proxy card (or the stub to which it was attached if you mailed in your proxy card) that was addressed to you (not applicable if your shares are held through a broker) OR > A legal proxy provided to you by your broker if you have requested one from your broker OR > Other proof of share ownership (such as a brokerage statement). > > Seating: Seating will be limited and we cannot guarantee seating for all shareholders. Seating will be on a first come first served basis. > > Parking Instructions: Please park on the North side of 901 Page by entering from Kato Road & A Street. Reference the map below and follow the yellow arrows. > > For additional information please visit ir.tesla.com > > | FredTesla | 2016-11-17 17:12:11 | 121 | da4qfsh | Done deal it was voted in favor. musk doing q & a now edit: Musk says looking promising that solar roof will be cheaper than regular roof even without taking electricity savings into account. As for new political landscape- TLDW removing incentives for EV s would actually be beneficial for tesla against competitors. Fed tax incentives also running out either way. Wont help for mass producing EV s. Solar tech developed mostly by SC some by Tesla and worked with 3M | notthepig | 2016-11-17 21:07:27 | 10 | Miscellaneous Tesla Topic |
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