McAree, O., Aitken, J. orcid.org/0000-0003-4204-4020 and Veres, S. (2018) Quantifying situation awareness for small unmanned aircraft Towards routine beyond visual line of sight operations. Aeronautical Journal, 122 (1251). pp. 733-746. ISSN 0001-9240
Abstract
A novel statistical model is presented to quantify situation awareness in the operation of small civilian Unmanned Aircraft Systems (UAS). Today, the vast majority of small UAS operation takes place under Visual Line Of Sight (VLOS) of a human operator, who is wholly responsible for the safety of the flight. As operation begins to move to Beyond Visual Line Of Sight (BVLOS), it is likely that this responsibility will become shared between operator and the increasingly autonomous UAS itself. Before we seek to quantify the safety of such a system, it is beneficial to analyse the safety of existing VLOS operations to provide a target level of safety. Prior to considering any on-board decision making, it is essential to ensure that the artificial situation awareness system of a UAS in BVLOS is at least as good as awareness of a human operator. The paper provides a probabilistic theory and model for the high level abstractions of situation awareness to guide future assessment of BVLOS operations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Royal Aeronautical Society. This is an author produced version of a paper subsequently published in Aeronautical Journal. Article available under the terms of the CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Unmanned Aerial Systems; Autonomy; Situation Awareness; Safety Classification Description: Aerospace Safety; Airworthiness; Control Applications; Human Factors; Unmanned Aerial Vehicles |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/J011843/1; EP/L024942/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Nov 2017 16:53 |
Last Modified: | 12 Apr 2024 11:03 |
Status: | Published |
Publisher: | Cambridge University Press |
Refereed: | Yes |
Identification Number: | 10.1017/aer.2018.14 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124289 |
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