The Computer Vision Laboratory at the University of Maryland has developed a modular system architecture to support visual navigation by an autonomous land vehicle. The system consists of vision modules performing image processing, 3-D shape recovery, and rule-based reasoning, as well as modules for planning, navigating, and piloting.


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    Title :

    Visual Navigation System for Autonomous Land Vehicles


    Contributors:
    A. M. Waxman (author) / J. LeMoigne (author) / L. S. Davis (author) / E. Liang (author) / T. Siddalingaiah (author)

    Publication date :

    1985


    Size :

    51 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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