Driver distraction is recognized as a major factor in the cause of automobile accidents. Therefore, it is extremely important for an intelligent driver support system to be able to monitor the driver's attentive state. This paper proposes a system to monitor driver attention based on a variety of information sources. The LISA-Q test vehicle is used to synchronously capture video, audio, vehicle information, LASER RADAR information, and GPS information as input to the driver state evaluation. Information about the driver's facial affects, lane keeping, steering movements, and time headway are all extracted from the multimodal data streams and evaluated.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Visual context capture and analysis for driver attention monitoring


    Beteiligte:
    McCall, J.C. (Autor:in) / Trivedi, M.M. (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    656641 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Driver Visual Attention Model

    Sayed, T. / Lim, C. / International Symposium on Automotive Technology and Automation | British Library Conference Proceedings | 1999


    A driver visual attention model

    Sayed,T. / Lim,C. / Univ.of British Columbia,CA et al. | Kraftfahrwesen | 1999


    Determining driver visual attention with one camera

    Smith, P. / Shah, M. / da Vitoria Lobo, N. | IEEE | 2003