The level of technology in multiple disciplines that would allow the construction of a vehicle capable of driving itself is near. Several years ago, the US Army recognized a deficiency existed in the image processing technology area and started a research and development program to demonstrate machine vision algorithms needed by unmanned ground vehicles. This technology program has spanned over a 3 year period and has evolved from a laboratory demonstration of the image processing algorithms to designing and developing the hardware necessary to road test the algorithms and access performance. This paper will present a part of this technology effort which implemented intersection detection and navigation using neural net image processing as well as GPS and sensor technology on a military vehicle to demonstrate the feasibility of totally autonomous vehicle navigation.


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    Titel :

    Intersection navigation for unmanned ground vehicles


    Beteiligte:
    Larsen, Karin R. (Autor:in) / Olson, Keith (Autor:in)

    Kongress:

    Navigation and Control Technologies for Unmanned Systems ; 1996 ; Orlando,FL,United States


    Erschienen in:

    Erscheinungsdatum :

    1996-05-27





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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