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Dynamic Behavior Risk Assessment for Autonomous Systems

: Feth, Patrik
: Liggesmeyer, Peter; Berns, K.; Deßloch, S.

Fulltext urn:nbn:de:0011-n-5785344 (3.4 MByte PDF)
MD5 Fingerprint: 7db3a870d66cc21c7577c3288488c29d
Created on: 4.3.2020


Stuttgart: Fraunhofer Verlag, 2020, XIV, 141 pp.
Zugl.: Kaiserslautern, TU, Diss., 2019
PhD Theses in Experimental Software Engineering, 67
ISBN: 978-3-8396-1574-4
Dissertation, Electronic Publication
Fraunhofer IESE ()
Business applications; project management; safety engineering; Dynamic Risk Assessment; Risk Metrics; Autonomous Systems; artificial intelligence; Safetyingenieure; Safetymanager; Informatiker

Software-controlled technical systems are omnipresent in our daily lives. In many domains, such as automotive, avionics, and robotics, engineers are currently building systems that act without human assistance, in only partly defined open environments. The most prominent example are self-driving vehicles. To achieve this automation in an open environment, technical systems need to be able to behave adequately in unthought-of situations. We refer to systems with this capability as autonomous systems.
Autonomous systems inevitably contain some degree of uncertainty regarding their behavior in such unthought-of situations. Consequently, it is not possible to analyze the full space of their behavior at development time. The current risk assessment approaches in Safety Engineering - the discipline responsible for creating systems with acceptable risk - rely on extensive analyses conducted during development time. This is not feasible for assessing the risk associated with the behavior of autonomous systems. This dissertation presents a novel approach for Dynamic Behavior Risk Assessment for autonomous systems to overcome this limitation.