Modern driver assistance and safety systems need a reliable and precise description of the environment. Fusing the measurement data of two or more sensors can improve the performance of the perception system. A generic fusion system which is independent of the attached sensors could be reused in multiple fusion systems and sensor combinations. This could be very helpful because sensor data fusion is a demanding and complex task. In this contribution, we present the algorithmic basics for a generic fusion system, detailed ways on how to model sensor specific properties and which benefits we can achieve by using these models.


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    Titel :

    Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems


    Beteiligte:
    Munz, Michael (Autor:in) / Mählisch, Mirko (Autor:in) / Dickmann, Jürgen (Autor:in) / Dietmayer, Klaus (Autor:in)


    Erscheinungsdatum :

    01.06.2010


    Format / Umfang :

    825794 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Probabilistic Modeling of Sensor Properties in Generic Fusion Systems for Modern Driver Assistance Systems, pp. 760-765

    Munz, M. / Maehlisch, M. / Dickmann, J. et al. | British Library Conference Proceedings | 2010


    A sensor independent probabilistic fusion system for driver assistance systems

    Munz, Michael / Dietmayer, Klaus C. J. / Mahlisch, Mirko | IEEE | 2009


    A probabilistic sensor-independent fusion framework for automotive driver assistance systems

    Munz, Michael / Mählisch, Mirko / Dietmayer, Klaus | Tema Archiv | 2009


    A probabilistic sensor-independent fusion framework for automotive driver assistance systems

    Munz,M. / Maehlisch,M. / Dietmayer,K. et al. | Kraftfahrwesen | 2009


    Sensor Fusion for Driver-Assistance-Systems

    Vukotich, A. / Kirchner, A. / VDI | British Library Conference Proceedings | 2001