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Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments

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Abstract

Work in progress on efficient long range path-planning for unmanned ground vehicles (UGV) is presented. It builds upon own work on 3D mapping in unstructured environments, which uses large planar patches for representation and registration of range data. The planar patches allow a very fast assessment of drivability as indicated by experiments with several data-sets.

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Authors and Affiliations

  1. Jacobs University, Campus Ring 1, 28759, Bremen, Germany

    Narunas Vaskevicius & Andreas Birk

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  1. Narunas Vaskevicius
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  2. Andreas Birk
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Correspondence to Andreas Birk.

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Vaskevicius, N., Birk, A. Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments. Künstl Intell 25, 141–144 (2011). https://doi.org/10.1007/s13218-011-0098-7

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