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Situational risk assessment within safety-driven behavior management in the context of UAS
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- Hägele, Georg (author)
- Engineering & Digital Services, Semcon Sweden AB, Linköping, Sweden
-
- Sarkheyli-Hägele, Arezoo (author)
- Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
- (creator_code:org_t)
- IEEE, 2020
- 2020
- English.
- In: 2020 International Conference on Unmanned Aircraft Systems (ICUAS). - : IEEE. - 9781728142784 - 9781728142791 ; , s. 1407-1415
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Keyword
- 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
Publication and Content Type
- ref (subject category)
- kon (subject category)
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