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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Acknowledgements
This contribution results from the research cooperation Proreta between Technische Universität Darmstadt and Continental AG. The research project was carried out in cooperation of the Institutes of Automatic Control, Automotive Engineering and Multimodal Interactive Systems. The participating Institutes thank the Continental AG for the generous support and good cooperation.
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Isermann, R. et al. (2015). Anti Collision System PRORETA. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-09840-1_57-1
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DOI: https://doi.org/10.1007/978-3-319-09840-1_57-1
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