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Situational Hazard Recognition and Risk Assessment Within Safety-Driven Behavior Management in the Context of Automated Driving
Semcon Sweden AB, Engn & Digital Serv, Linkoping, Sweden..
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0001-6925-0444
2020 (English)In: Proceedings 2020 IEEE International Conference on Cognitive andComputational Aspects of Situation Management (CogSIMA), Virtual Conference24-28 August 2020 / [ed] Rogova, G McGeorge, N Ruvinsky, A Fouse, S Freiman, M, IEEE , 2020, p. 188-194Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of hazard recognition and risk assessment in open and non-predictive environments to support decision making and action selection. Decision making and action selection incorporate decreasing situational risks and maintain safety as operational constraints. Commonly, neither existing application-related safety standards nor the situation modeling or knowledge representation is considered in that context. This contribution introduces a novel approach denoted as a Safety-Driven Behavior Management focusing on situation modeling and the problem of knowledge representation in its sub-functions in the context of situational risks. It combines the safety standards-oriented hazard analysis and the risk assessment approach with the machine learning-based situation recognition. An example illustrating the approach is presented in this paper.

Place, publisher, year, edition, pages
IEEE , 2020. p. 188-194
Series
IEEE Conference on Cognitive and Computational Aspects of Situation Management, ISSN 2379-1667
Keywords [en]
Situation model, safety critical systems, situational risk assessment
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mau:diva-42111DOI: 10.1109/CogSIMA49017.2020.9216183ISI: 000628978500028Scopus ID: 2-s2.0-85094824832ISBN: 978-1-7281-6001-6 (electronic)OAI: oai:DiVA.org:mau-42111DiVA, id: diva2:1552483
Conference
IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)
Available from: 2021-05-05 Created: 2021-05-05 Last updated: 2024-02-05Bibliographically approved

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Sarkheyli-Hägele, Arezoo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • nn-NB
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