Tesla backs vision-only approach to autonomy using powerful supercomputer

Tesla vehicles have also already proven a feature called pedal misapplication mitigation, in which the car identifies pedestrians in its path, or even a lack of a driving path, and responds to the driver accidentally stepping on the gas instead of braking, potentially saving pedestrians in front of the vehicle or preventing the driver from accelerating into a river.Tesla’s supercomputer collects video from eight cameras that surround the vehicle at 36 frames per second, which provides insane amounts of information about the environment surrounding the car, Karpathy explained.While the vision-only approach is more scalable than collecting, building and maintaining high definition maps everywhere in the world, it’s also much more of a challenge, because the neural networks doing the object detection and handling the driving have to be able to collect and process vast quantities of data at speeds that match the depth and velocity recognition capabilities of a human.Karpathy says after years of research, he believes it can be done by treating the challenge as a supervised learning problem.