AIML plays a crucial role in enabling self-driving cars and other autonomous vehicles by analyzing sensor data and making real-time decisions.Machine learning is essential in autonomous vehicles, enabling them to perceive the environment, make informed decisions, and navigate safely. Through object recognition, machine learning models analyze sensor data to detect and classify objects like pedestrians, vehicles, and signs. They also utilize sensor fusion to integrate information from multiple sensors, creating a comprehensive understanding of the surroundings. Machine learning algorithms enable path planning, decision-making, and behavior prediction, ensuring efficient and collision-free driving. Continuous learning allows autonomous vehicles to improve over time by adapting to new scenarios and road conditions. By leveraging machine learning, autonomous vehicles revolutionize transportation with their ability to perceive, interpret, and react in real-time.