Skip to main content

Research Repository

Advanced Search

Towards an ontological framework for environmental survey hazard analysis of autonomous systems

Caleb-Solly, Praminda; Harper, Christopher

Towards an ontological framework for environmental survey hazard analysis of autonomous systems Thumbnail


Authors

Profile Image

Chris Harper Christopher4.Harper@uwe.ac.uk
Research Fellow - Safety Assurance



Abstract

This paper presents current progress in the development of Environmental Survey Hazard Analysis (ESHA), a method of preliminary hazard identification aimed at autonomous system application problems. In addition to performing their design mission, autonomous systems must be capable of reliable and predictable behaviour in their environments, particularly when facing potential hazards that are not explicitly included in their design specifications (’non-mission’ tasks).
ESHA differs from conventional hazard identification methods in that its scope explicitly covers the identification of non-mission interactions between a system and its environment and any associated hazards. Although of general use as a safety analysis technique, ESHA has been designed primarily to support a ”so far as is reasonably practicable” (SFAIRP) style of safety argument. However, early versions of the method were based on informal models, and therefore provided only weak support. This paper reviews the development of a formal ontological framework for ESHA, intended to provide much stronger basis for arguing the completeness and consistency of analyses.

Citation

Caleb-Solly, P., & Harper, C. (2021). Towards an ontological framework for environmental survey hazard analysis of autonomous systems

Conference Name Artificial Intelligence Safety 2021 (SafeAI 2021)
Conference Location Online
Start Date Feb 8, 2021
End Date Feb 8, 2021
Acceptance Date Dec 5, 2020
Online Publication Date Feb 8, 2021
Publication Date Feb 8, 2021
Deposit Date Mar 29, 2021
Publicly Available Date Mar 31, 2021
Series ISSN 1613-0073
Keywords safety, hazard analysis
Public URL https://uwe-repository.worktribe.com/output/7240303
Publisher URL http://ceur-ws.org/Vol-2808/Paper_41.pdf

Files

Towards an ontological framework for environmental survey hazard analysis of autonomous systems (1.8 Mb)
PDF

Copyright Statement
The final published proceedings are available here: http://ceur-ws.org/Vol-2808/Paper_41.pdf







You might also like



Downloadable Citations