This paper presents the results of the first large-scale field tests on vision-based pedestrian protection from a moving vehicle. Our PROTECTOR system combines pedestrian detection, trajectory estimation, risk assessment and driver warning. The paper pursues a "system approach" related to the detection component. An optimization scheme models the system as a succession of individual modules and finds a good overall parameter setting by combining individual ROCs using a convex-hull technique. On the experimental side, we present a methodology for the validation of the pedestrian detection performance in an actual vehicle setting. We hope this test methodology to contribute towards the establishment of benchmark testing, enabling this application to mature. We validate the PROTECTOR system using the proposed methodology and present interesting quantitative results based on tens of thousands of images from hours of driving. Although results are promising, more research is needed before such systems can be placed at the hands of ordinary vehicle drivers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vision-based pedestrian detection: the PROTECTOR system


    Contributors:
    Gavrila, D.M. (author) / Giebel, J. (author) / Munder, S. (author)


    Publication date :

    2004-01-01


    Size :

    760403 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vision-Based Pedestrian Detection: The PROTECTOR System

    Gavrila, D. M. / Giebel, J. / Munder, S. et al. | British Library Conference Proceedings | 2004


    PEDESTRIAN PROTECTOR

    MANTANI TAKUYA | European Patent Office | 2020

    Free access

    Infrared Stereo Vision-based Pedestrian Detection

    Bertozzi, M. / Broggi, A. / Lasagni, A. et al. | British Library Conference Proceedings | 2005


    Pedestrian detection with monocular vision system

    Schick,J. / Bosch,Leonberg,DE | Automotive engineering | 2006