The system gathers sensor data and builds a model of the environment, localizes the vehicle on a map, predicts the motion of other objects, plans a trajectory and issues control commands (acceleration, braking, steering). Machine-learning models handle perception and prediction, while planning and control modules ensure safe execution of maneuvers.
Human driving causes most accidents. Autonomous driving aims for safer, scalable, driverless transport.
