The development of autonomous vehicles is primarily supported by machine learning, computer vision, and sensor technology. Machine learning algorithms process vast amounts of data from various sensors, enabling vehicles to understand and navigate complex environments. Computer vision allows vehicles to interpret visual information from cameras, detecting obstacles, pedestrians, and road signs. Additionally, technologies like Lidar and radar provide accurate distance measurements and environmental mapping. Together, these technologies are essential for achieving safe and efficient automation in driving.