As one of the most promising applications of computer vision, vision-based vehicle detection for driver assistance has received considerable attention over the last 15 years. There are at least three reasons for the blooming research in this field: first, the startling losses both in human lives and finance caused by vehicle accidents; second, the availability of feasible technologies accumulated within the last 30 years of computer vision research; and third, the exponential growth of processor speed has paved the way for running computation-intensive video-processing algorithms even on a low-end PC in realtime. This paper provides a critical survey of recent vision-based on-road vehicle detection systems appeared in the literature (i.e., the cameras are mounted on the vehicle rather than being static such as in traffic/driveway monitoring systems).


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    Title :

    On-road vehicle detection using optical sensors: a review


    Contributors:
    Sun, Z. (author) / Bebis, G. (author) / Miller, R. (author)


    Publication date :

    2004-01-01


    Size :

    602517 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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