How do autonomous vehicles avoid collisions?

How do autonomous vehicles avoid collisions?

Autonomous vehicles use a combination of sensors, cameras, and AI algorithms to detect obstacles and make real-time decisions.

What types of sensors do they use?

They typically use LIDAR, radar, ultrasonic sensors, and cameras to gather data about their surroundings.

How do they process the data from these sensors?

The data is processed using machine learning algorithms that help the vehicle understand its environment and predict potential hazards.

Are there any limitations to this technology?

Yes, challenges include adverse weather conditions, sensor limitations, and the need for extensive training data to improve accuracy.