Advanced driver assistance systems (ADAS) require a comprehensive and accurate situation model. Often in-vehicle sensors do not provide sufficient quality and quantity of information to fulfill the demanding requirements. Car-2-Car communication can be seen as an adaptive sensor that provides additional information regularly but also on demand. Due to the feet that Car-2-Car communication strongly depends on the penetration rate, we argue for a seamless integration of Car-2-Car communication as an additional sensor in automotive sensor fusion. With increasing penetration rate the sensor fusion will significantly benefit and eventually unfold its full potential. Due to the fundamentally different measuring principles of in-vehicle sensors and information provided by Car-2-Car communication, redundancy and complementarity can be leveraged to a great extent, thus, increasing accuracy, reliability and robustness ofthe situation assessment. In addition to a detailed description ofthe fusion algorithm this paper outlines DLR's system architecture for ADAS and an enhanced ACC as an application example to show the potential of our approach.


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    Title :

    Integration of CAR-2-CAR communication as a virtual sensor in automotive sensor fusion for advanced driver assistance systems


    Additional title:

    Integration der Fahrzeug-zu-Fahrzeug Kommunikation als virtueller Sensor in der Fahrzeug-Sensorfusion für fortgeschrittene Fahrerassistenzsysteme


    Contributors:


    Publication date :

    2008


    Size :

    9 Seiten, 5 Bilder, 1 Tabelle, 9 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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