Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Situational risk assessment within safety-driven behavior management in the context of UAS
Engineering & Digital Services, Semcon Sweden AB, Linköping, 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: 2020 International Conference on Unmanned Aircraft Systems (ICUAS), IEEE, 2020, p. 1407-1415Conference 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 for UAS. Decision making and action selection incorporate decreasing situational risks and maintain safety as operational constraints. Commonly, neither existing safety standards nor the situation modeling or knowledge representation is considered in that context. This contribution applies a novel approach denoted as a Safety-Driven Behavior Management for UAS focusing on situation modeling, and the problem of knowledge representation in the context of situational risks. It combines the safety standards-oriented hazards analysis and the risk assessment approach with the machine learning-based situation recognition. The illustrative scenario and first experimental results underline the feasibility of the novel approach.

Place, publisher, year, edition, pages
IEEE, 2020. p. 1407-1415
Series
Conference proceedings (International Conference on Unmanned Aircraft Systems), ISSN 2373-6720, E-ISSN 2575-7296
Keywords [en]
aerospace computing, aerospace safety, autonomous aerial vehicles, decision making, emergency services, health hazards, knowledge representation, learning (artificial intelligence), public administration, risk management, situational risk assessment, safety-driven behavior management, UAS, hazard recognition, action selection, safety standards, situation modeling, situation recognition, machine learning, oriented hazards analysis, Hazards, Task analysis, Planning, Standards
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:mau:diva-40294DOI: 10.1109/ICUAS48674.2020.9214072ISI: 000612041300181Scopus ID: 2-s2.0-85094969654ISBN: 978-1-7281-4278-4 (electronic)ISBN: 978-1-7281-4279-1 (print)OAI: oai:DiVA.org:mau-40294DiVA, id: diva2:1524588
Conference
2020 International Conference on Unmanned Aircraft Systems (ICUAS), 1-4 Sept. 2020, Athens, Greece, Greece
Available from: 2021-02-01 Created: 2021-02-01 Last updated: 2024-02-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Sarkheyli-Hägele, Arezoo

Search in DiVA

By author/editor
Sarkheyli-Hägele, Arezoo
By organisation
Department of Computer Science and Media Technology (DVMT)
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 170 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf