How do autonomous vehicles handle unexpected situations?

How do autonomous vehicles handle unexpected situations?

Autonomous vehicles use a combination of sensors, algorithms, and machine learning to detect and respond to unexpected situations. They analyze data from cameras, radar, and lidar to make real-time decisions.

Can you give me an example of an unexpected situation?

Sure! An example would be a pedestrian suddenly stepping onto the road. The vehicle must quickly assess the situation and decide whether to brake, swerve, or take another action to avoid a collision.

What happens if the sensors fail?

If the sensors fail, autonomous vehicles are designed to enter a safe mode, which may involve pulling over to the side of the road and stopping until the issue is resolved.

How do they learn from past experiences?

They use machine learning algorithms that analyze data from previous trips, including near-misses and other incidents, to improve their decision-making processes.