SLAM for Autonomous Vehicles

SLAM (Simultaneous Localization and Mapping) is a technology used by autonomous vehicles to build a map of their environment while accurately determining their own position within it. By combining sensor data like cameras, LIDAR, and radar, the vehicle creates a real-time map of surrounding objects and landmarks. This process helps the vehicle understand where it is, navigate safely, and update its environment dynamically, even in unfamiliar areas. SLAM enables autonomous vehicles to operate reliably without relying solely on pre-existing maps, ensuring precise navigation in complex or changing environments.