How do autonomous vehicles learn from experience?
Autonomous vehicles learn from experience through a combination of machine learning, sensor data, and real-world testing.
Can you explain how machine learning is used in this process?
Sure! Machine learning algorithms analyze data from sensors to identify patterns and make decisions based on past experiences.
What kind of data do these vehicles collect?
They collect data from cameras, LIDAR, radar, and GPS, which helps them understand their environment and improve navigation.
How do they ensure safety while learning?
Safety is ensured through simulations, controlled testing environments, and continuous monitoring of performance to avoid accidents.
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