At the Institut für Kraftfahrwesen Aachen (ika) a satellite-based system for predictive preview and the control of different ADAS has been developed. The system consists of a GPS/TMC-receiver in combination with a next generation digital map, which is enhanced by attributes in form of a database. These attributes describe the infrastructure of the driving route (intersections, curve radii, inclinations etc.) and traffic regulations (velocity limitations, signs, right of way regulation etc.). The system works on motorway, sub-urban and urban roads. Within inner city limits high buildings prevent the reception of satellites signals from the necessary number of satellites in order to increase the position accuracy. This causes deviations from the expected system reaction towards changes of events. The introduction of GALILEO receivers, which are also able to detect GPS satellites, will solve this problem in the future. Additionally an image processing system can support the preview prediction. By means of image processing traffic lights and signs can be detected. Furthermore the status of traffic lights can be taken into account for the longitudinal control of the vehicle. Communication between vehicles (Car2Car communication) and the infrastructure allows the system to react dynamically towards events on the driving route. As this form of communication will be handled directly between the vehicles the delay of information processing and updating, e g TMC, is left out. Communication devices are being specified m form of the IEEE 802.11p standard. Local hazard warning around curves and an early adaptation of the driving velocity according to the traffic ahead are applications for such communication systems. The description of the system, the integration into the vehicle and the field of ADAS application are introduced in this paper.


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    Title :

    Satellite-based system for predictive control in vehicles and its field of applications


    Additional title:

    Satelliten gestütztes System zur vorausschauenden Fahrzeugüberwachung und Darstellung des Anwendungsbereichs


    Contributors:
    Zlocki, A. (author)


    Publication date :

    2008


    Size :

    18 Seiten, 11 Bilder, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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