Intelligent sensors are playing an ever-increasing role in automotive safety. This paper describes the development of a low-resolution infrared (IR) imaging system for continuous tracking and identification of driver postures and movements. The resolution of the imager is unusually low at 16 − 16 pixels. An image processing technique has been developed using neural networks operating on a segmented thermographic image to categorize driver postures. The system is able reliably to identify 18 different driver positions, and results have been verified experimentally with 20 subjects driving in a car simulator. IR imaging offers several advantages over visual sensors; it will operate in any lighting conditions and is less intrusive in terms of the privacy of the occupants. Hardware costs for the low-resolution sensor are an order of magnitude lower than those of conventional IR imaging systems. The system has been shown to have the potential to play a significant role in future intelligent safety systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver tracking and posture detection using low-resolution infrared sensing


    Beteiligte:
    Amin, I J (Autor:in) / Taylor, A J (Autor:in) / Parkin, R M (Autor:in)


    Erscheinungsdatum :

    2007-09-01


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Driver tracking and posture detection using low-resolution infrared sensing

    Amin, I.J. / Taylor, A.J. / Parkin, R.M. | Tema Archiv | 2007


    Driver tracking and posture detection using low-resolution infrared sensing

    Amin,I.J. / Taylor,A.J. / Parkin,R.M. et al. | Kraftfahrwesen | 2007


    DRIVER POSTURE DETECTION DEVICE

    IWAMOTO TARO | Europäisches Patentamt | 2020

    Freier Zugriff

    DRIVER ABNORMAL POSTURE DETECTION DEVICE

    IWAMOTO TARO | Europäisches Patentamt | 2020

    Freier Zugriff