How do autonomous vehicles make decisions?

How do autonomous vehicles make decisions in real-time?

Autonomous vehicles use a combination of sensors, algorithms, and machine learning to make decisions in real-time. They analyze data from cameras, radar, and lidar to understand their environment.

What kind of algorithms do they use for decision-making?

They often use algorithms like reinforcement learning, neural networks, and decision trees to evaluate different scenarios and choose the best course of action.

How do they handle unexpected obstacles?

They continuously scan their surroundings and use predictive modeling to anticipate potential obstacles, allowing them to react quickly and safely.

Are there any limitations to their decision-making capabilities?

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