Abstract This contribution describes the basic concept and practical evaluation of a driver assistance system, which early detects dangerous overtaking maneuvers on two-lane rural roads and helps to prevent accidents. A fusion of video and RADAR data combines a high-precision detection of far objects with accurate lateral position and velocity estimates for nearer objects. The detection of nearer objects is performed by a video based vehicle classifier. The fused environment data is the basis to identify a hazardous situation by combining a signal based detection of the driver’s overtaking intention with a problematic constellation of the involved vehicles. When such a hazardous situation is detected, warnings are initiated, and an automatic brake intervention aborts the dangerous overtaking maneuver at the last possible moment, so that the driver can get behind the preceding vehicle by swerving to his/her own lane. The system was developed during the Proreta 2 research project by Technische Universität Darmstadt in cooperation with Continental AG.


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    Titel :

    Anti Collision System PRORETA


    Beteiligte:
    Isermann, Rolf (Autor:in) / Hohm, Andree (Autor:in) / Mannale, Roman (Autor:in) / Schiele, Bernt (Autor:in) / Schmitt, Ken (Autor:in) / Winner, Hermann (Autor:in) / Wojek, Christian (Autor:in)

    Erschienen in:

    Ausgabe :

    2016


    Erscheinungsdatum :

    2015-12-08


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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