This invention describes a system for self-driving vehicles that uses sensors to understand its surroundings, including other traffic. It then plans the vehicle's actions based on this understanding, with a separate component that learns from human driver input to improve its planning. Finally, it translates these plans into actual commands to control the vehicle's steering, braking, and acceleration.
Why it matters: Filed in 2017, the significant advancements in AI/ML algorithms, specialized compute hardware, and sophisticated simulation environments since then make the development and training of such a complex autonomous driving system far more practical and robust today.
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