Truly autonomous vehicles are far behind their optimistic rollout schedules
The central premise of autonomous vehicles — that computers and artificial intelligence will dramatically reduce accidents caused by human error — has driven much of the research and investment.
But there is a catch: Making robot cars that can drive more safely than people is immensely tough because self-driving software systems simply lack humans’ ability to predict and assess risk quickly, especially when encountering unexpected incidents or “edge cases.”
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