How do AI drivers learn to navigate roads?
AI drivers learn by processing vast amounts of data from sensors and cameras, using algorithms to understand their environment.
What kind of data do they use?
They use data from GPS, LiDAR, cameras, and radar to detect obstacles, road signs, and lane markings.
Do they learn from real-world driving experiences?
Yes, AI drivers improve through real-world driving data, which helps them adapt to various driving conditions.
How do they handle unexpected situations?
AI drivers use machine learning to predict and respond to unexpected situations by analyzing past experiences and outcomes.
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