Performance evaluation and comparison of vision-based automotive modules is a growing need in automotive industry. Off-vehicle evaluation, using a database of video streams offers many advantages over on-vehicle evaluation in terms of reduced costs, repeatability and the ability to compare different modules under the same conditions. An off-vehicle evaluation platform for camera based pedestrian detection is presented, enabling evaluation of industrial modules and internally developed algorithms. In order to maintain a single video database despite variability in camera location and internal parameters, experiments were done with video warping techniques, in which a video is warped to look as if taken from a target camera. To obtain ground truth annotation, both manual and Lidar-based methods were tested. Lidar-based annotation was shown to achieve detection rate > 80% without human intervention, which can go up to 97.5% using a semi-supervised methodology with moderate human effort. Finally, we examined several performance metrics, and found that the image-based detection criteria used in most of the literature does not fit certain automotive application well. A modified criterion based on real world coordinates is suggested.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Off-vehicle evaluation of camera-based pedestrian detection


    Beteiligte:
    Alon, Yaniv (Autor:in) / Bar-Hillel, Aharon (Autor:in)


    Erscheinungsdatum :

    2012-06-01


    Format / Umfang :

    1856501 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Off-Vehicle Evaluation of Camera-Based Pedestrian Detection

    Bar Hillel, A. / Alon, Y. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2012


    Camera Based Pedestrian Detection

    Schiele, Bernt / Wojek, Christian | Springer Verlag | 2015


    VEHICLE CAMERA-BASED PREDICTION OF CHANGE IN PEDESTRIAN MOTION

    BIALER ODED / GUPTA SIDDHARTHA | Europäisches Patentamt | 2024

    Freier Zugriff


    Camera-based pedestrian detection - challenges, applications in visible and FIR spectra, evaluation methods

    Wahl, Eric / Boulay, Marie-Pierre / Orecher, Sebastian et al. | Tema Archiv | 2008