Landmark Based SLAM

Landmark-Based SLAM (Simultaneous Localization and Mapping) is a technique used by robots and autonomous vehicles to understand and navigate an environment. It involves identifying distinctive features or "landmarks"—such as trees, signs, or buildings—and remembering their locations. As the robot moves, it locates these landmarks to determine its position accurately and updates its map of the surroundings. This process allows the robot to build a map while figuring out where it is within that map, even in complex or unknown environments, by continuously referencing these recognizable points.