Autonomous vehicles rely on a combination of technologies for navigation, including LIDAR, radar, and computer vision. These systems collect real-time data about the vehicle's surroundings, enabling it to detect obstacles, road signs, and lane markings. Advanced algorithms process this information, utilizing machine learning and GPS for accurate positioning and route planning. This combination allows autonomous vehicles to operate safely and efficiently in various environments, making real-time adjustments to navigate effectively. Ultimately, the synergy of these technologies is crucial for the future of self-driving cars, ensuring they can become a reliable mode of transportation.