In this paper the authors investigate the application of image analysis, processing and transmission techniques to vehicle navigation and safety. Their recently developed orthogonalization neural network architectures are suitable for complex tasks of real time image processing for purposes of navigation and safety, in situations of vehicle maneuvering in unknown and hazardous environments. Hardware-implemented neural networks are used for image processing and compression/decompression on both ends of a communication link between a Traffic Information Center and vehicle. The navigation and safety system is applicable to human-supervised situations, as well as to autonomous vehicle maneuvering in hazardous environments, like those in perilous military or special industrial conditions.


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    Title :

    Real-time neural vision for vehicle navigation and safety


    Additional title:

    Echtzeit-Neural-Sehen für Kraftfahrzeugnavigation und -sicherheit


    Contributors:


    Publication date :

    1993


    Size :

    4 Seiten, 4 Bilder, 1 Tabelle, 8 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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