Autonomous off-road navigation is central to several important applications of unmanned ground vehicles. This requires the ability to detect obstacles in vegetation. We examine the prospects for doing so with scanning ladar and with a linear array of 2.2 GHz micro-impulse radar transceivers. For ladar, we summarize our work to date on algorithms for detecting obstacles in tall grass with single-axis ladar, then present a simple probabilistic model of the distance into tall grass that ladar-based obstacle detection is possible.


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    Titel :

    Obstacle detection in foliage with ladar and radar


    Beteiligte:
    Matthies, Larry (Autor:in) / Bergh, Chuck (Autor:in) / Castano, Andres (Autor:in) / Macedo, Jose (Autor:in) / Manduchi, Roberto (Autor:in)

    Kongress:

    11th International Symposium of Robotics Research ; 2003 ; Siena, Italy, Italy


    Erscheinungsdatum :

    01.10.2003


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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