Cooperative Warning and Risk-Averse Safety Control for Multiple UAVs

The avoidance of dynamic obstacles is a challenging issue for uncrewed aerial vehicle (UAV) due to its limited perception range.This article presents a framework including cooperative warning and risk-averse safety control for multiple UAVs. When external obstacles are discovered, the evaluation of conditional value-at-risk for the obstacles is performed by the discoverers. Whenever the risk value violates the designed safety threshold, the warning information will be transmitted to the threatened neighbors immediately. Moreover, by incorporating the event-triggered mechanism, the risk-averse safety control scheme is constructed. Consequently, multiple UAVs are able to evade dynamic obstacles from various directions with enhanced safety and reduced conservatism. The effectiveness and superiority of the proposed scheme are substantiated by comparative simulations and real-world flight experiments.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-03-28
DOI
https://doi.org/10.1109/tii.2025.3549797
Citations
4
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
5.59

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Cooperative Warning and Risk-Averse Safety Control for Multiple UAVs

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Cooperative Warning and Risk-Averse Safety Control for Multiple UAVs

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article en
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Abstract

The avoidance of dynamic obstacles is a challenging issue for uncrewed aerial vehicle (UAV) due to its limited perception range.This article presents a framework including cooperative warning and risk-averse safety control for multiple UAVs. When external obstacles are discovered, the evaluation of conditional value-at-risk for the obstacles is performed by the discoverers. Whenever the risk value violates the designed safety threshold, the warning information will be transmitted to the threatened neighbors immediately. Moreover, by incorporating the event-triggered mechanism, the risk-averse safety control scheme is constructed. Consequently, multiple UAVs are able to evade dynamic obstacles from various directions with enhanced safety and reduced conservatism. The effectiveness and superiority of the proposed scheme are substantiated by comparative simulations and real-world flight experiments.

IEEE Transactions on Industrial InformaticsVol. 21(5)
Beihang University (CN)
National Natural Science Foundation of China, Beijing Nova Program, Natural Science Foundation of Zhejiang Province
Climate action
Openalex Percentile: Top 4%
Risk and Safety Analysis
5.59
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