Towards Safety-Awareness and Dynamic Safety Management

Mario Trapp, Daniel Schneider, Gereon Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Future safety-critical systems will be highly automated or even autonomous and they will dynamically cooperate with other systems as part of a comprehensive ecosystem. This together with increasing utilization of artificial intelligence introduces uncertainties on different levels, which detriment the application of established safety engineering methods and standards. These uncertainties might be tackled by making systems safety-aware and enabling them to manage themselves accordingly. This paper introduces a corresponding conceptual dynamic safety management framework incorporating monitoring facilities and runtime safety-models to create safety-awareness. Based on this, planning and execution of safe system optimizations can be carried out by means of self-adaptation. We illustrate our approach by applying it for the dynamic safety assurance of a single car.

Original languageEnglish
Title of host publicationProceedings - 2018 14th European Dependable Computing Conference, EDCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages107-111
Number of pages5
ISBN (Electronic)9781538680605
DOIs
StatePublished - 9 Nov 2018
Externally publishedYes
Event14th European Dependable Computing Conference, EDCC 2018 - Iasi, Romania
Duration: 10 Sep 201814 Sep 2018

Publication series

NameProceedings - 2018 14th European Dependable Computing Conference, EDCC 2018

Conference

Conference14th European Dependable Computing Conference, EDCC 2018
Country/TerritoryRomania
CityIasi
Period10/09/1814/09/18

Keywords

  • autonomous systems
  • safety
  • system of systems

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