This paper describes the implementation of a realtime architecture dedicated to obstacle detection in the automotive domain, and more particularly to pre-crash situations. The method, based on stereovision, is of high complexity and can not run in real-time on standard processors. Therefore, the application is accelerated with the use of special purpose hardware; in particular, a highly parallelized disparity engine is presented. A prototype board was built, which achieves a performance of 460 GOPS and computes the application at the rate of 22 frames per second, thus reaching road safety constraints.


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    Title :

    Stereovision-based 3D obstacle detection for automotive safety driving assistance




    Publication date :

    2009-10-01


    Size :

    1623483 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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