The company uses deep learning from end-to-end. Deep learning algorithm simulates the brain's ability to learn, recognize and generate decisions making it the key to autonomous driving.
Drive.ai's software is created similar on how people are trained to drive. Deep learning systems thrive on data. The system is trained by providing a host of examples of situations, objects and scenarios and then letting it infer how the rules it learns might apply to novel or unexpected experiences. The more data an algorithm is fed with, the better it will be able to recognize and generalize about the patterns it needs to understand to drive safely.
Experts in deep learning from the Artificial Intelligence Laboratory of Stanford University Brody Huval, Carol Reiley, Fred Rosenzweig, Joel Pazhayampallil, Sameep Tandon, Tao Wang and William Song founded Drive.ai in 2015. It is based in Mountain View, California.
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Documentaries, videos and podcasts
Deep-Learning First: Drive.ai's Path to Autonomous Driving
6 April 2017
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