On-road vehicle detection and lane detection are integral parts of most advanced driver assistance systems (ADAS). In this paper, we introduce an integrated approach called Efficient Lane and Vehicle detection with Integrated Synergies (ELVIS), that exploits the inherent synergies between lane and on-road vehicle detection to improve the overall computational efficiency without compromising on the robustness of both the tasks. Detailed evaluations show that the vehicle detection component of ELVIS shows at least 50% lesser false alarms with equal or better detection rates, and reducing the computational costs by over 90% as compared to state-of-the-art vehicle detection methods. Similarly, the lane detection component shows more reliable lane feature extraction with average computation costs that are at least 35% lesser than existing techniques.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Efficient Lane and Vehicle Detection with Integrated Synergies (ELVIS)


    Beteiligte:


    Erscheinungsdatum :

    2014-06-01


    Format / Umfang :

    637452 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ELVIS - ELectromagnetic Vector Information Sensor

    Bergman, J. / Stal, O. / Thide, B. et al. | British Library Conference Proceedings | 2005


    The Kiinote - Elvis and Equus.

    Kiino, Ron | Online Contents | 2012


    ELVIS has left the launch pad

    Apter, A W | Online Contents | 2010



    Integrated Vehicle and Lane Detection with Distance Estimation

    Chen, Yu-Chun / Su, Te-Feng / Lai, Shang-Hong | British Library Conference Proceedings | 2015