Delta in 2008, this system earned the Italian Automotive Technical Association's Best Automotive Innovation of the Year Award for 2008. Peugeot introduced the same system as Citroën in its new 308. Lane departure warning systems combine prevention with risk reports in the transportation industry. Viewnyx applies video-based technology to assist fleets in lowering their driving liability costs. By providing safety managers with driver- and fleet-risk assessment reports and tools, it facilitates proactive coaching and training to eliminate high-risk behaviors. The Lookout Solution is used by North American fleets, and there is research on implementing a lane departure warning system via a mobile phone. 2017 An Insurance Institute for Highway Safety raised concern that drivers may be less vigilant when relying on automated safety systems or become distracted by dashboard displays that monitor how the systems are performing. Two separate studies found that lane-keeping systems and blind spot monitoring systems had lower crash rates than the same vehicles without the systems. Police crash data from 25 states between 2009 and 2015 for vehicle models where the systems were sold as optional reduced rates of single-vehicle, sideswipe, and head-on crashes by 11 percent, and injuries in such crashes by 21 percent. The sample size was not large enough to control for demographic and other variables. Lane keeping and next technologies Lane keeping assist (LKA) is a feature that, in addition to the lane departure warning system, automatically takes steps to ensure the vehicle stays in its lane. Some vehicles combine adaptive cruise control with lane keeping systems to provide additional safety. While the combination of these features creates a semi-autonomous vehicle, most require the driver to remain in control of the vehicle while it is in use. This is because of the limitations associated with the lane-keeping feature. The lane keeping assist system is being achieved in modern vehicle systems using image processing techniques called Hough transform and Canny edge detection techniques. These advanced image processing techniques derive lane data from forward facing cameras attached to the front of the vehicle. Real-time image processing using powerful computers like Nvidia's Drive PX1 are being used by many vehicle OEMs to achieve fully autonomous vehicles in which lane detection algorithm plays a key part. Advanced lane detection algorithms are also being developed using deep learning and neural network techniques. Nvidia has achieved high accuracy in developing self-driving features including lane keeping using the neural