Autonomous Navigation for military unmanned ground vehicles requires the ability to act without human intervention in increasingly difficult environments such as off-road terrain and military operations in urban terrain (MOUT). One method to accomplish this is through the combination of a local perception sensor suite with an a priori route planner and a local guidance algorithm that provides an automated obstacle detection, classification, and avoidance capability. This paper will detail the feasibility of this approach based on preliminary test results.


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    Titel :

    Perception and Autonomous Navigation Using a Priori Data


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2006 World Congress & Exhibition ; 2006



    Erscheinungsdatum :

    2006-04-03




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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