Pedestrian-vehicle accidents account for the second largest source of automotive related fatality and injury worldwide. This paper presents a system which detects and tracks pedestrians in realtime for use with automotive pedestrian protection systems (PPS) aimed at reducing such pedestrian-vehicle related injury. The system is based on a passive stereo vision configuration which segments a scene into 3D objects, classifies each object as pedestrian/non-pedestrian and finally tracks the pedestrian in 3D. Our system was implemented and tested on a Volvo test vehicle. Strong results for the system were obtained over a range of simple and complex environments, with average positive and false positive detection rates of 83.5% and 0.4%, respectively.


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    Title :

    3D vision sensing for improved pedestrian safety


    Contributors:
    Grubb, G. (author) / Zelinsky, A. (author) / Nilsson, L. (author) / Rilbe, M. (author)


    Publication date :

    2004-01-01


    Size :

    1094769 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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