AIT News Desk 08 Jan 2019 Autonomous Vehicles Leave a comment 716 Views Developer of AV Perception Software for OEMS and Tier 1s Launches AV Perception Engine Based on Raw Data Fusion for Safe and Reliable Autonomous Driving VAYAVISION, a leading provider of raw data fusion and perception software solutions for autonomous vehicles, announced the release of VAYADrive 2.0, an AV perception software engine that fuses raw sensor data together with AI tools to create an accurate 3D environmental model of the area around the self-driving vehicle. VAYADrive 2.0 breaks new ground in several categories of AV environmental perception – raw data fusion, object detection, classification, SLAM, and movement tracking – providing crucial information about dynamic driving environments, enabling safer and reliable autonomous driving, and optimizing cost-effective sensor technologies. Read More: AI Healthcare Network In India Gets Massive Boost with Microsoft-Apollo Collaboration “This launch marks the beginning of a new era in autonomous vehicles, bringing to market an AV perception software based on raw data fusion,” said Ronny Cohen, CEO and co-founder of VAYAVISION. “VAYADrive 2.0 increases the safety and affordability of self-driving vehicles and provides OEMs and T1s with the required level of autonomy for the mass-distribution of autonomous vehicles.” The VAYADrive 2.0 software solution combines state-of-the-art AI, analytics, and computer vision technologies with computational efficiency to scale up the performance of AV sensors hardware. The software is compatible with a wide range of cameras, LiDARs, and radars. VAYADrive 2.0 solves a key challenge facing the industry: the detection of ‘unexpected’ objects. Roads are full of ‘unexpected’ objects that are absent from training data sets, even when those sets are captured while travelling millions of kilometers. Thus, systems that are mainly based on deep neural networks fail to detect the ‘unexpected’. Read More: WORBLI Calls 2018 the Year of Substantive Growth in Blockchain and Predicts Global Expansion in 2019 To detect objects, no single type of sensor is enough; Cameras don’t see depth, and distance sensors, such as LiDARs and Radars, possess very low resolution. VAYADrive 2.0 upsamples sparse samples from distance sensors and assigns distance information to every pixel in the high resolution camera image. This allows autonomous vehicles to receive crucial information on an object’s size and shape, to separate every small obstacle on the road, and to accurately define the shapes of vehicles, humans, and other objects on the road. “VAYADrive 2.0’s raw data fusion architecture offers automotive players a viable alternative to inadequate ‘object fusion’ models that are common in the market,” said Youval Nehmadi, CTO and co-founder of VAYAVISION. “This is critical to increasing detection accuracy and decreasing the high rate of false alarms that prevent self-driving vehicles from reaching the next level of autonomy.” VAYAVISION will be showing its solution at the CES – Consumer Electronics Show in Las Vegas from 8 – 11 January 2019, at Booth 301 of the OurCrowd Pavilion, Westgate Paradise Center. Read More: What AI’s Lifespan Boost Will Mean for Healthcare Managers and Providers
Autonomous vehicle ( AV) software developer Vayavision has launched a product it said could create accurate 3D environmental models for vehicles, which would make AV driving safer by using more efficient sensors. Its VAYADrive 2.0 combines data from the sensors with AI tools. The product is aimed at tackling the challenge of AVs struggling to deal with unexpected objects around them. “Imagine you are driving, and suddenly there is an object in front of your car,” says VAYADrive's CEO and co-founder David Chao.