How does computer vision work in self-driving cars?

Can you explain how computer vision is used in self-driving cars?

Sure! Computer vision allows self-driving cars to interpret and understand their surroundings using cameras and sensors.

What types of sensors do these cars use for computer vision?

They typically use cameras, LiDAR, and radar to gather data about the environment, which is then processed to make driving decisions.

How does the car recognize objects like pedestrians and traffic signs?

The car uses machine learning algorithms to analyze images from its cameras, identifying patterns and features to recognize objects.

Are there any challenges with computer vision in self-driving cars?

Yes, challenges include varying weather conditions, lighting changes, and the need for high accuracy to ensure safety.