This paper addresses uses of fractals, fuzzy sets and image representation as it pertains to navigation of an autonomous mobile intelligence unit operating in an unstructured natural environment. Sensor fusion is achieved by combining variable rate and resolution sensor data into a model of the environment with which to do navigational planning. The major sensor is assumed to be a high duty cycle laser imaging rangefinder (LIRF). A secondary sensor consisting of a FLIR is also used. The LIRF is assumed to be mounted on a basic Autonomous Mobile Platform, a vehicle about the size of a deer and having quadripedal locomotion rather than wheels or tracks.


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    Title :

    Navigation Of An Autonomous Mobile Intelligence Unit In The Unstructured Natural Environment


    Contributors:

    Conference:

    Mobile Robots IV ; 1989 ; Philadelphia,PA,United States


    Published in:

    Proc. SPIE ; 1195 ; 56


    Publication date :

    1990-03-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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