TY - CONF A1 - Erbsmehl, Christian A1 - Lubbe, Nils A1 - Ferson, Niels A1 - Yuasa, Hitoshi A1 - Landgraf, Tom A1 - Urban, Martin T1 - Analysis and Investigation Method for All Traffic Scenarios (AIMATS) N2 - 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. KW - Analyse (math) KW - Aufzeichnung KW - Beinahe Unfall KW - Deutschland KW - Kamera KW - Konferenz KW - Tier KW - Unfallschwerpunkt KW - Verfahren KW - Accident black spot KW - Analysis (math) KW - Animal KW - Camera KW - Conference KW - Germany KW - Method KW - Near miss KW - Recording Y1 - 2017 UR - https://bast.opus.hbz-nrw.de/frontdoor/index/index/docId/1786 UR - https://nbn-resolving.org/urn:nbn:de:hbz:opus-bast-17861 N1 - Außerdem beteiligt: Toyota Motors Europe, Research & Development ER -