lunar-rover-path-planning

DEM Generation and Local and Global Path Planning for Lunar Rover

https://github.com/chandrabhraman/lunar-rover-path-planning

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DEM Generation and Local and Global Path Planning for Lunar Rover

Fig: Sample Local Path Plan for lunar rover

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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 .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes Action
1.0.0

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.