Example Concept: Autonomous cars rely on a suite of sensors such as cameras, LIDAR, and radar to gather data about their surroundings. This data is processed using machine learning models, particularly deep learning, to identify objects, predict their movements, and assess the driving environment. The AI system then uses this information to make decisions, such as adjusting speed, changing lanes, or stopping at traffic signals, often employing reinforcement learning to improve decision-making over time.