This article describes the application of fuzzy logic to the path selection algorithm of an autonomous roving vehicle. A simulated laser-detector configuration provides the imprecise terrain information which constitutes the input to the path selection algorithm. The algorithm determines the most suitable path to a given target point. The vehicle's motion is then simulated, more terrain information is obtained and a new decision is made. At every decision point, the algorithm determines the safety of alternative paths and their direction with respect to the target point, and finally selects a path by performing some trade-offs between path safety and heading toward the target. A graphic display of the terrain and the vehicle's path summarizes the result of the algorithm.


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    Title :

    A fuzzy algorithm for path selection in autonomous vehicle navigation


    Additional title:

    Ein Algorithmus zur Klassifizierung von Stoergroessen fuer die Wegauswahl bei autonomer Fahrzeugnavigation


    Contributors:


    Publication date :

    1984


    Size :

    3 Seiten, 2 Bilder, 2 Tabellen, 21 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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