This paper presents an in-vehicle real-time monocular precrash vehicle detection system. The system acquires grey level images through a forward facing low light camera and achieves an average detection rate of 10Hz. The vehicle detection algorithm consists of two main steps: multi-scale driven hypothesis generation and appearance-based hypothesis verification. In the multi-scale hypothesis generation step, possible image locations where vehicles might be present are hypothesized. This step uses multi-scale techniques to speed up detection but also to improve system robustness by making system performance less sensitive to the choice of certain parameters. Appearance-base hypothesis verification verifies those hypothesis using Haar Wavelet decomposition for feature extraction and Support Vector Machines (SVMs) for classification. The monocular system was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying weather conditions), illustrating good performance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A real-time precrash vehicle detection system


    Beteiligte:
    Zehang Sun, (Autor:in) / Miller, R. (Autor:in) / Bebis, G. (Autor:in) / DiMeo, D. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    676453 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Real-Time Precrash Vehicle Detection System

    Sun, Z. / Miller, R. / Bebis, G. et al. | British Library Conference Proceedings | 2002


    Precrash-sensors

    Spies, H. | British Library Conference Proceedings | 1996


    Monocular precrash vehicle detection: features and classifiers

    Sun, Zehang / Bebis, G. / Miller, R. | Tema Archiv | 2006


    Verification of Precrash Sensor System

    Kohn, P. N. / Varchmin, J.-U. / VDI | British Library Conference Proceedings | 2003


    Precrash-Sensoren

    Spies, H. | Tema Archiv | 1996