Intersections are dangerous. A look at the accident statistics in Germany shows, that more than one quarter of all accidents occur at street intersections. For intersection assistance, the authors consider traffic light monitoring to be an essential part to keep drivers from running a red light. Therefore, image sensors must be deployed unless assuming additional infrastructure (e.g. transponders). Image sensors introduced in the references mentioned above exhibit a limited field of view which is insufficient for intersection monitoring of cross traffic. The authors extend the limited field of view of conventional cameras in two ways: With active cameras (cameras mounted on a moving pan-tilt-unit platform) and omnidirectional cameras. In this paper, the authors show how machine vision plays a key role in the formidable task of intersection assistance. DaimlerChrysler Research tries to succeed in this task within its 'vision of accident-free driving'. First the authors turn attention to digital maps and how they can be used for intersection assistance. Then signalized intersections are discussed. A crucial and versatile method to detect obstacles on the road, i.e. stereo vision and motion analysis, is described after that. The extensions to stereo vision in order to obtain a larger field of view and their application to intersection assistance are described.


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    Title :

    Camera-based intersection assistance


    Additional title:

    Kamerabasierte Kreuzungsassistenz


    Contributors:


    Publication date :

    2004


    Size :

    18 Seiten, 15 Bilder, 17 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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