lunar-rover-path-planning
Version 1.0.0 (5.26 MB) by
ChandraBhraman
DEM Generation and Local and Global Path Planning for Lunar Rover
DEM Generation and Local and Global Path Planning for Lunar Rover
Fig: Sample Local Path Plan for lunar rover
Instructions
DEM generation
- Process NAC images in USGS ISIS and Ames Stereo Pipeline.
- Generate point cloud and obtain the .las format.
- Convert .las format into .csv using liblas library for importing to MATLAB.
- Checkout the Pg 6-28 of the doc for more details
Global path planning using coarse map data generated with DEMs
- Identify the all the cost functions.
- Plan the starting point.
- Plan the end point.
- Choose an algorithm for cost minimization from starting to end point and implementing.
Local path planning using stereo images from rover
- Pan the area using the stereo imaging.
- Map the ROI based on the imaging function.(cam2map)
- Identify the obstacles in image of minimum threshold and generate a field map based on obstacles.
- Identify the end point of traversal.
- Choose an algorithm for minimizing identified cost and implement for generating way points.
- Drive to the way points
Cite As
ChandraBhraman (2026). lunar-rover-path-planning (https://github.com/chandrabhraman/lunar-rover-path-planning), GitHub. Retrieved .
MATLAB Release Compatibility
Created with
R2023a
Compatible with any release
Platform Compatibility
Windows macOS LinuxTags
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.

