Abstract
This paper addresses two challenges for successful implementations of driver assistance systems for providing intersection collision avoidance based on Vehicle-to-Vehicle communication. Firstly, satellite based positioning typically comes along with varying precision, which has to be considered by the warning function. Secondly, a distinction has to be made between critical and safe driver behavior. An ideal warning function for the use in critical driver behavior is one which warns the accident perpetrator early enough so that the driver can defuse the situation on his own, and which remains silent during normal safe driving behavior. The following article develops such a warning algorithm and verifies it using data obtained in a field test. The validation considers to what extent parameterization of the algorithm can resolve the conflict mentioned above between the two goals of a low false-positive warning rate and high capability for accidence avoidance.
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Notes
- 1.
ADAS: Advanced Driver Assistance Systems.
- 2.
CICAS: Cooperative Intersection Collision Avoidance System.
- 3.
INS: Inertial Navigation System.
- 4.
The setting of the constant variables used within this work are summarized in Table 1.
References
GIDAS (German In-Depth Accident Study) http://www.gidas.org/
Mages M (2008) Top-Down-Funktionsentwicklung eines Einbiege- und Kreuzenassistenten. Dissertation, Technischen Universität Darmstadt
Meitinger K (2008) Top-Down-Entwicklung von Aktiven Sicherheitssystemen für Kreuzungen. Dissertation, Technischen Universität München
Eichhorn A, Zahn P, Schramm D (2013) Automatic generation of intersection topologies using numerous gps traces. In: Proceedings of 5th IEEE international symposium on wireless vehicular communications
Hillenbrand J (2007) Fahrerassistenz zur Kollisionsvermeidung. Dissertation, Universität Karlsruhe
Tamke A, Dang T, Breuel G (2011) A flexible method for criticality assessment in driver assistance systems. In: Proceedings of IEEE intelligent vehicles symposium (IV), pp 697–702
Berthelot A, Tamke A, Dang T (2011) Handling uncertainties in criticality assessment. In: Proceedings of IEEE intelligent vehicles symposium (IV), pp 571–576
Acknowledgments
This work was funded within the project simTD by the German Federal Ministries of Economics and Technology as well as Education and Research, and supported by the Federal Ministry of Transport, Building and Urban Development.
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© 2013 Springer International Publishing Switzerland
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von Eichhorn, A., Zahn, P., Schramm, D. (2013). A Warning Algorithm for Intersection Collision Avoidance. In: Fischer-Wolfarth, J., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2013. Lecture Notes in Mobility. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00476-1_1
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DOI: https://doi.org/10.1007/978-3-319-00476-1_1
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