autonomous vehicles data

Autonomous vehicles collect and analyze various data types to navigate safely. This includes sensors like cameras, radar, and lidar that detect surroundings, road signs, and obstacles. They also use detailed maps and GPS data for precise location tracking. The vehicle's onboard computers process all this information in real-time to make driving decisions, such as steering, braking, and accelerating. This data-driven approach allows self-driving cars to operate efficiently, respond to changing conditions, and enhance safety. Continuous data collection and analysis improve the vehicle’s understanding of the environment, leading to better performance and reliability over time.