The complexity and congestion of current transportation systems often produce traffic situations that jeopardize the safety of the people involved. These situations vary from maintaining a safe distance behind a leading vehicle to safety allowing a pedestrian to cross a busy street. Environmental sensing plays a critical role in virtually all of these situations. Of the sensors available, vision sensors provide information that is richer and more complete than other sensors, making them a logical choice for a multisensor transportation system. In this report the authors propose robust detection and tracking techniques for intelligent vehicle-highway applications where computer vision plays a crucial role.


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    Titel :

    Using CCD Cameras for Obstacle Avoidance and Detection of Pedestrians


    Beteiligte:

    Erscheinungsdatum :

    1999


    Format / Umfang :

    50 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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