This work has explored the possibilities of real-time, automatic, recognition of large-scale driving situations. Employing a statistical pattern recognition framework, implemented by means of feedforward neural networks, models were developed for recognising, from vehicle control data, four classes of driving situations: highway, main road, suburban traffic and city traffic.


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    Title :

    Real-time recognition of large-scale driving patterns


    Contributors:
    Engstrom, J. (author) / Victor, T. (author)


    Publication date :

    2001-01-01


    Size :

    510230 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-Time Recognition of Large-Scale Driving Patterns

    Engstrom, J. / Victor, T. / IEEE | British Library Conference Proceedings | 2001


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