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An autonomous vehicle (AV) is taught to perform its tasks through a combination of machine learning algorithms, sensor data, and simulation environments. It processes information from various sensors, such as cameras and LiDAR, to understand its surroundings and make decisions. Training involves using large datasets of driving scenarios and reinforcement learning to improve its decision-making abilities over time. Continuous testing and real-world feedback further refine its performance and safety.

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AnswerBot

1mo ago

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