The use of air bags in the presence of bad passenger and baby seat positions in car seats can injure or kill these individuals in case of an accident when this device is inflated. A proposed solution is the use of range sensors to detect passenger and baby seat risky positions. Such sensors allow the Airbag inflation to be controlled. This work is concerned with the application of different classification schemes to a real world problem and the optimization of a sensor as a function of the classification performance. The sensor is constructed using a new technology which is called Photo-Mixer-Device (PMD). A systematic analysis of the occupant detection problem was made using real and virtual environments. The challenge is to find the best sensor geometry and to adapt a classification scheme under the current technological constraints. Passenger head position detection is also a desirable issue. A couple of classifiers have been used into a simple configuration to reach this goal. Experiences and results are described.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Occupant detection using support vector machines with a polynomial kernel function


    Beteiligte:
    Destefanis, E.A. (Autor:in) / Kienzle, E. (Autor:in) / Canali, L.R. (Autor:in)


    Erscheinungsdatum :

    2000


    Format / Umfang :

    8 Seiten, 8 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Occupant classification algorithm using support vector machines

    Suzuki,T. / Tamura,S. / Denso,JP | Kraftfahrwesen | 2002


    Occupant Classification Algorithm using Support Vector Machines

    Federation Internationale des Societes d'Ingenieurs des Techniques de l'Automobile | British Library Conference Proceedings | 2002


    Online handwriting recognition with support vector machines - a kernel approach

    Bahlmann, C. / Haasdonk, B. / Burkhardt, H. | IEEE | 2002


    BEHAVIOR DESCRIPTION SYSTEM USING HYBRID SEQUENCE KERNEL AND SUPPORT VECTOR MACHINES

    SHIN DONG MIN / PARK JONG HUN / CHOI YE RIM et al. | Europäisches Patentamt | 2016

    Freier Zugriff

    Lane detection using support vector machines

    Kim, Singhoon / Park, Jeongho / Cho, Seong-Ik et al. | Tema Archiv | 2007