Startup Says End-To-End Machine Learning Is Only Scalable Solution For Self-Driving Cars

It’s a solution that Tesla CEO Elon Musk would approve. No lidars, no high-definition maps. No hand-coded rules. A small startup in Cambridge, U.K. taught a car to drive itself in a simulated environment before unleashing it on the road equipped only with cameras and your average satellite navigation system. The result: a self-driving car that could navigate complex new environments in a day. is taking an end-to-end machine learning approach to building a self-driving car. Rather than create a platform and feed the rules of the road, their system uses imitation and reinforcement learning coupled with cameras and sensors to control the vehicle and follow a route entered in the navigation system.