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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    Titel :

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


    Beteiligte:
    Heimes, F. (Autor:in) / Fleischer, K. (Autor:in) / Nagel, H.-H. (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    870957 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch