Autonomous driving testing validates self-driving vehicle safety through simulated and real-world scenarios using sensors, AI, and data analysis. It refines perception, decision-making, and control systems before public deployment. Automakers, tech firms, and regulators benefit by reducing accident risks, meeting compliance standards, and accelerating reliable, driverless transportation for consumers and logistics industries.
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