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Analysis and investigation method for all traffic scenarios (AIMATS)

 
: Erbsmehl, Christian; Lubbe, Nils; Ferson, Niels; Yuasa, Hitoshi; Landgraf, Tom; Urban, Martin

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Bundesanstalt für Straßenwesen -BaSt-, Bergisch Gladbach; Medizinische Hochschule Hannover, Verkehrsunfallforschung; Forschungsvereinigung Automobiltechnik e.V. -FAT-, Frankfurt/Main:
7th International Conference on ESAR "Expert symposium on accident research" 2016 : Reports on the ESAR-Conference 2016 at Hannover Medical School, Hannover, 9.-10. Juni 2016
Bremen: Fachverlag NW, 2017 (Berichte der Bundesanstalt für Strassenwesen - Verkehrstechnik F 117)
ISBN: 978-3-95606-326-8
16 S.
International Conference on "Expert Symposium on Accident Research" (ESAR) <7, 2016, Hannover>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IVI ()

Abstract
Millions of kilometers are driven and recorded by car manufacturers and researchers every year to gather information about realistic traffic situations. The focus of these studies is often the recording of critical situations to create test scenarios for the development of new systems before introducing them into the market. This paper shows a novel Analysis and Investigation Method for All Traffic Scenarios (AIMATS) based on real traffic scenes. It also shows how to get detailed information about speeds, trajectories and behavior of all participants without driving thousands of kilometers at the example of conflict situations with animals. Basis of the AIMATS is the identification of the most relevant locations as “Points of Interest” (POI), the recording of the critical situations and their “base lines” at these POI. This paper presents a new method to identify critical scenarios involving both vehicles and animals as well as preliminary results of a study done in Saxony using this new method.

: http://publica.fraunhofer.de/dokumente/N-476855.html