Machine learning plays a crucial role in autonomous vehicles by enabling them to analyze vast amounts of data from sensors, cameras, and LIDAR systems. These algorithms allow the vehicle to understand its surroundings, make decisions in real-time, and navigate safely. Machine learning models are trained on vast datasets that include various driving scenarios, helping improve accuracy in object detection, classification, and predictive analytics. As a result, machine learning enhances the vehicle's ability to operate without human intervention, significantly contributing to the advancement of autonomous driving technology.