Implement Simultaneous Localization and Mapping (SLAM) with

Version 1.1.0.0 (113 ko) par Mihir Acharya
Develop a map of an environment and localize the pose of a robot for autonomous navigation.
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Mise à jour 16 nov. 2018

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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

Citation pour cette source

Mihir Acharya (2024). Implement Simultaneous Localization and Mapping (SLAM) with (https://www.mathworks.com/matlabcentral/fileexchange/66284-implement-simultaneous-localization-and-mapping-slam-with), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2018a
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SLAM_implementation

Version Publié le Notes de version
1.1.0.0

Included the offlineSLAMData.mat file in the downloaded zip folder. Earlier it was reading that data from the examples folder where MATLAB is installed.
1.0.0.0

Added Copyright notice in the code file.
Added thumbnail image.