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Towards Dynamic Safety Management for Autonomous Systems

 
: Trapp, Mario; Weiß, Gereon

:
Volltext urn:nbn:de:0011-n-5462157 (557 KByte PDF)
MD5 Fingerprint: 27e0ed9255eeaafe5dd427cf63330c4d
Erstellt am: 13.6.2019


Parsons, Mike (ed.) ; Safety-Critical Systems Club -SCSC-, York:
Engineering Safe Autonomy : Proceedings of the 27th Safety-Critical Systems Symposium, Bristol, UK, 5th-7th February 2019
Heslington: SCSC, 2019
ISBN: 9781729361764
S.193-204
Safety-Critical Systems Symposium (SSS) <27, 2019, Bristol>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ESK ( IKS) ()
safety engineering; safety assurance; Autonomous Systems; dynamic safety management; self-optimization

Abstract
Safety assurance of autonomous systems is one of the current key challenges of safety engineering. Given the specific characteristics of autonomous systems, we need to deal with many uncertainties making it difficult or even impossible to predict the system’s behaviour in all potential operational situations. Simply using established static safety approaches would result in very strict worst-case assumptions making the development of autonomous systems at reasonable costs impossible. This paper therefore introduces the idea of dynamic safety management. Using dynamic safety management enables a system to assess its safety and to self-optimize its performance at runtime. Considering the current risk related to the actual context at runtime instead of being bound to strict worst-case assumptions provides the essential basis for the development of safe and yet cost-efficient autonomous systems.

: http://publica.fraunhofer.de/dokumente/N-546215.html