This paper presents a stereo vision-based autonomous navigation system using a GPS and a modified version of the VFH algorithm. In order to obtain a high-accuracy disparity map and meet the time constraints of the real time navigation system, this work the use of a semi-global stereo method. By not suffering the same issues of the regulary used local stereo methods, the employed stereo technique enables the generation of a highly dense, efficient, and accurate disparity map. Obstacles are detected using a method that checks for relative slopes and heights differences. Experimental tests using an electric vehicle in an urban environment were performed to validate the proposed approach.


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    Title :

    Stereo-Based Autonomous Navigation and Obstacle Avoidance




    Publication date :

    2013


    Size :

    6 Seiten, 11 Bilder, 1 Tabelle, 11 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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