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Active Risk Mitigation for Unmanned Aerial Systems

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Intelligent Systems and Applications (IntelliSys 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 822))

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Abstract

Efforts are underway to introduce Unmanned Aerial Systems (UAS) into routine cargo operations within the National Airspace System (NAS). Many argue that UAS operations will be riskier than operation with pilots onboard the aircraft because there are no humans onboard to respond to off-nominal events. In this paper, we present a safety assessment methodology where agent-based modeling and rare event estimation are used to determine the risks due to component and system failures, and thereby accident probabilities. The methodology is applied to the final approach and landing phases of flight within the context of an investigation of the performance required from decision-making agents when wind shear, navigation errors, and engine failures occur. Results indicate that the online safety assessment methodology is able to actively mitigate risk and provide the autonomous system safety performance required to comply with FAA airworthiness regulations.

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Author information

Authors and Affiliations

  1. Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Andrew Kendall

  2. The University of Texas at Austin, Austin, TX, 78712, USA

    John-Paul Clarke

Authors
  1. Andrew Kendall
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  2. John-Paul Clarke
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Corresponding author

Correspondence to Andrew Kendall .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Kendall, A., Clarke, JP. (2024). Active Risk Mitigation for Unmanned Aerial Systems. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2023. Lecture Notes in Networks and Systems, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-031-47721-8_28

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