Self-driving cars, also known as autonomous vehicles, rely on a combination of sensors, algorithms, and machine learning to navigate the roads without human intervention. These cars are equipped with various sensors such as radar, lidar, cameras, and GPS to detect the surrounding environment in real time. The data collected by these sensors is processed by powerful computers that make decisions on steering, acceleration, and braking. One key technology used in self-driving cars is machine learning, which allows the car to learn from previous experiences and improve its driving capabilities over time. The algorithms used in autonomous vehicles are constantly learning and adapting to different driving conditions, making them safer and more efficient on the road. Another important aspect of self-driving cars is connectivity, which allows cars to communicate with each other and with infrastructure such as traffic lights and road signs. This helps in smoother traffic flow and better coordination between vehicles. Overall, self-driving cars represent a cutting-edge technology that has the potential to revolutionize the way we travel and make our roads safer and more efficient in the future.