The navigation system for Martin Marietta Denver Aerospace's autonomous land vehicle project receives information from the vision system about road boundaries and obstacle locations. This information is used in an optimization equation to create trajectory points on the road. The operation and the algorithms of the vision subsystem are described briefly. The operation and algorithms of the navigation, or reasoning, subsystem is then considered. An obstacle-avoidance navigator is presented.


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    Title :

    Vision-based road following in the autonomous land vehicle


    Additional title:

    Sichtbasierte Strassenverfolgung fuer ein autonomes Gelaendefahrzeug


    Contributors:
    Seida, S. (author) / Morgenthaler, D.G. (author) / Podlaseck, M. (author) / Douglas, B. (author) / McSwain, J. (author) / Knourek, R. (author) / Thomas, M. (author)


    Publication date :

    1987


    Size :

    6 Seiten, 3 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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