Robust detection of vehicle occupant posture is necessary for intelligent airbag deployment. This paper presents a vision-based method of estimating the size, posture and pose of the occupant. Utilizing raw reflectance and stereo disparity images, this algorithm presents a mixed-mode approach to finding occupant features. Extensive experiments show the viability of this mixed-mode method in identifying the occupant's head location and suggest the feasibility of extending the analysis system to include detection of features such as occupant arms and foreign objects.


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    Titel :

    Occupant posture analysis using reflectance and stereo image for "smart" airbag deployment


    Beteiligte:
    Krotosky, S.J. (Autor:in) / Trivedi, M.M. (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    656608 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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