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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    Title :

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


    Contributors:


    Publication date :

    2010-06-01


    Size :

    825794 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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