SLAM-based Autonomous Navigation

SLAM, or Simultaneous Localization and Mapping, is a technique used in autonomous navigation systems, such as those found in robots and self-driving cars. It allows a device to build a map of its surroundings while simultaneously keeping track of its own location within that map. This is achieved through sensors that gather information about the environment, which the system processes in real-time. By continually updating the map and its position, SLAM enables machines to navigate unfamiliar areas efficiently and safely, helping them avoid obstacles and reach their destination without human intervention.