This paper is a survey of current research in applying artificial neural networks to the domain of intelligent vehicles. It describes work in three areas: video-based traffic monitoring, monitoring and control of onboard systems, and vision-based lateral control. In each of these domains, successful preliminary systems demonstrate that artificial neural networks have the potential to make significant improvements in the state-of-the-art. Because of the simplicity and uniformity of the neural network architectures and algorithms employed in these systems, they each have the potential to be implemented efficiently in hardware, which could eventually make them commercially viable.


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    Title :

    Neural networks for intelligent vehicles


    Additional title:

    Künstliches Nervennetz für intelligente Fahrzeuge


    Contributors:


    Publication date :

    1993


    Size :

    6 Seiten, 4 Bilder, 33 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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