Rough Terrain Reconstruction for Rover Motion Planning

  • Authors:
  • David Gingras;Tom Lamarche;Jean-Luc Bedwani;Érick Dupuis

  • Affiliations:
  • -;-;-;-

  • Venue:
  • CRV '10 Proceedings of the 2010 Canadian Conference on Computer and Robot Vision
  • Year:
  • 2010

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Abstract

A two-step approach is presented to generate a 3D navigable terrain model for robots operating in natural and uneven environment. First an unstructured surface is built from a 360 degrees field of view LIDAR scan. Second the reconstructed surface is analyzed and the navigable space is extracted to keep only the safe area as a compressed irregular triangular mesh. The resulting mesh is a compact terrain representation and allows point-robot assumption for further motion planning tasks. The proposed algorithm has been validated using a large database containing 688 LIDAR scans collected on an outdoor rough terrain. The mesh simplification error was evaluated using the approximation of Hausdorff distance. In average, for a compression level of 93.5%, the error was of the order of 0.5 cm. This terrain modeler was deployed on a rover controlled from the International Space Station (ISS) during the Avatar Explore Space Mission carried out by the Canadian Space Agency in 2009.