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Towards safe autonomic driving. Enhancing traditional hazard and risk analysis

 
: Adler, Rasmus; Kemmann, Sören

Berns, Karsten (Ed.); Schindler, Christian (Ed.); Dreßler, K. (Ed.); Jörg, B. (Ed.); Kalmar, Ralf (Ed.); Zolynski, G. (Ed.) ; Commercial Vehicle Alliance -CVA-, Kaiserslautern:
Commercial vehicle technology 2014 : Proceedings of the 3rd Commercial Vehicle Technology Symposium (CVT 2014), March 11-13, 2014, University of Kaiserslautern, Kaiserslautern, Germany
Aachen: Shaker, 2014
ISBN: 978-3-8440-2573-6
S.3-12
Commercial Vehicle Technology Symposium (CVT) <3, 2014, Kaiserslautern>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
safety; autonomous driving; risk analysis; hazard analysis; SAHARA

Abstract
New technologies make it possible to implement systems that use existing behavior such as steering and acceleration to automate or semi-automate driving. A major problem with the introduction of these systems is that behavior can cause harm if it occurs in the wrong situation. This requires analyzing in which operational situations a certain behavior is safe. Due to the large number of operational situations, this is a complex task, with many potential risks if a certain behavior occurs in a particular situation. As a solution for coping with this complexity, we present a systematic model-based situation analysis.

: http://publica.fraunhofer.de/dokumente/N-324247.html