Implement Simultaneous Localization and Mapping (SLAM) with
Develop a map of an environment and localize the pose of a robot for autonomous navigation.
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Develop a map of an environment and localize the pose of a robot or a self-driving car for autonomous navigation using Robotics System Toolbox™.
The robot needs to be driven manually when it obtains the LiDAR scans of the environment. On running this code, you can obtain a map of the environment and the pose of the robot relative to the map. This could be further used with commands like buildMap to generate an occupancy grid and perform path planning for autonomous navigation.
Watch the overview video for this functionality here:
https://www.mathworks.com/videos/implement-simultaneous-localization-and-mapping-slam-with-matlab-1520292583530.html
引用
Mihir Acharya (2026). Implement Simultaneous Localization and Mapping (SLAM) with (https://jp.mathworks.com/matlabcentral/fileexchange/66284-implement-simultaneous-localization-and-mapping-slam-with), MATLAB Central File Exchange. に取得済み.
