Self-driving cars use a combination of sensors, cameras, and software to navigate roads without human input. These sensors constantly collect data about the car's surroundings, such as the position of other vehicles, pedestrians, and road signs. The software then processes this information to make real-time decisions about acceleration, braking, and steering. One key technology used in self-driving cars is LiDAR, which stands for Light Detection and Ranging. LiDAR sensors emit laser pulses that bounce off objects and create detailed 3D maps of the car's environment. This allows the car to accurately detect and avoid obstacles. Another crucial component is machine learning algorithms, which enable the car to learn from past experiences and improve its driving skills over time. These algorithms help the car recognize complex patterns in data, such as identifying different types of road signs or predicting other vehicles' behavior. Overall, self-driving cars rely on advanced technologies to safely and efficiently navigate roads. As these technologies continue to improve, self-driving cars have the potential to revolutionize transportation by reducing accidents, traffic congestion, and carbon emissions.