The technology commonly associated with self-driving cars is machine learning combined with various sensors and computer vision techniques. Self-driving cars utilize machine learning algorithms to analyze data from cameras, radar, and LiDAR to perceive their environment. They make real-time decisions based on this data, such as identifying obstacles, pedestrians, and traffic signals. Additionally, these vehicles rely on maps and connectivity to other vehicles and infrastructure to navigate efficiently. The combination of these technologies enables autonomous operation and enhances road safety.