The early recognition of potentially harmful traffic situations is an important goal of vision-based driver assistance systems. Pedestrians, in particular children, are highly endangered in inner city traffic. Within the DaimlerChrysler urban traffic assistance (UTA) project, we are using stereo vision and motion analysis in order to manage those situations. The flow/depth constraint combines both methods in an elegant way and leads to a robust and powerful detection scheme. A ball bouncing on the road often implies a child crossing the street. Since balls appear very small in the images of our cameras and can move considerably fast, a special algorithm has been developed to achieve maximum recognition reliability.


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    Titel :

    Fast obstacle detection for urban traffic situations


    Beteiligte:
    Franke, U. (Autor:in) / Heinrich, S. (Autor:in)


    Erscheinungsdatum :

    01.09.2002


    Format / Umfang :

    326285 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fast Obstacle Detection for Urban Traffic Situations

    Franke, U. / Heinrich, S. / Institute of Electrical Engineers | British Library Conference Proceedings | 2002


    Fast Obstacle Detection for Urban Traffic Situations

    Franke, U. / Heinrich, S. | British Library Online Contents | 2002



    Obstacle Detection in Urban Traffic Using Stereovision

    Huang, Y. / IEEE | British Library Conference Proceedings | 2005