EKF-SLAM

Extended Kalman Filter Simultaneous Localization and Mapping (EKF SLAM) is a method used in robotics and computer vision that allows a robot to navigate and map an unknown environment simultaneously. It combines sensor data (like cameras or lasers) with a mathematical model to estimate the robot's position and the locations of landmarks around it. As the robot moves, EKF SLAM continuously updates its knowledge of both its own location and the environment, helping it to create an accurate map while ensuring it knows where it is within that map. This technique is essential for autonomous navigation and exploration.