Driver support in inner city road traffic still presents a considerable challenge for machine vision. Model-based machine vision becomes attractive in this context since it allows one to exploit the knowledge provided by a model in order to select relevant image structures. It requires, however, to make suitable models available to the computer vision system. This contribution shows that a digital road map for a commercial car navigation system can also be exploited, in order to generate road and intersection models which can be used by model-based tracking of related lane boundary markings in video image sequences recorded from within a driving vehicle. Results obtained by an implementation of this approach are presented.


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    Title :

    Automatic generation of intersection models from digital maps for vision-based driving on inner city intersections


    Contributors:
    Heimes, F. (author) / Fleischer, K. (author) / Nagel, H.-H. (author)


    Publication date :

    2000-01-01


    Size :

    870957 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English