Situational risk assessment within safety-driven behavior management in the context of UAS

• 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

Nyckelord

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

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)