The technology central to the development of autonomous vehicles includes machine learning and sensor systems. These vehicles rely on algorithms that process data from numerous sensors, including LiDAR, cameras, and radar, to navigate and interpret their environment. Machine learning models are trained using vast amounts of driving data, allowing them to enhance decision-making and improve safety continually. This combination of technologies is crucial for enabling vehicles to operate without human intervention.