The technology that supports autonomous navigation in vehicles includes a combination of sensor systems, machine learning, and artificial intelligence. Sensors such as cameras, LiDAR, and radar gather data about the environment, which is then processed by algorithms, enabling the vehicle to interpret its surroundings. Computer vision is used for object detection and recognition, while deep learning models help improve decision-making processes. Key systems like GPS provide location information, while connectivity tools enable communication with other vehicles and infrastructure, ensuring safe navigation. Together, these technologies drive the future of transportation, enhancing safety and efficiency.