We describe a system that controls whether the headlights of a vehicle are in the highbeam or lowbeam state based on input from a forward looking video camera. The core of the system relies on conventional computer vision techniques, albeit with a sophisticated spot finder front-end. Despite this architecture we are able to use an automated supervised learning technique to tune the system to yield high performance. Using a customer-imposed metric we present both in-car and off-line results from our system along with several competitors, and investigate the system's performance under different weather conditions.


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    Title :

    A fast and robust intelligent headlight controller for vehicles


    Contributors:
    Connell, J. H. (author) / Herta, B. W. (author) / Pankanti, S. (author) / Hess, H. (author) / Pliefke, S. (author)


    Publication date :

    2011-06-01


    Size :

    188125 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Fast and Robust Intelligent Headlight Controller for Vehicles

    Connell, J. / Herta, B. / Pankanti, S. et al. | British Library Conference Proceedings | 2011


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