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Trust-Based Collision Avoidance for Unmanned Aircraft Systems
Linköping University, Department of Computer and Information Science. Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science. Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0009-0003-5645-2639
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.
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2024 (English)In: 2024 IEEE INTERNATIONAL CONFERENCE ON AEROSPACE AND SIGNAL PROCESSING, INCAS 2024, IEEE , 2024Conference paper, Published paper (Refereed)
Abstract [en]

The rapid expansion of Unmanned Aircraft (UA) usage has increased the need for reliable collision avoidance systems. This paper presents a trust-based, sensor-free collision avoidance system for UAs, leveraging the Drone Remote Identification Protocol (DRIP) to establish trust between aircraft. The proposed system uses a geometric-based cooperative avoidance method to optimize efficiency and a fail-safe repulsion avoidance mechanism for enhanced safety. The proposed system's effectiveness is evaluated through a series of simulations and real-world tests, focusing on metrics such as safety, flight distance, flight time, and acceleration requirements. The results are promising, indicating that the trust-based approach may successfully balance efficiency and safety, providing insights into potential use cases for DRIP.

Place, publisher, year, edition, pages
IEEE , 2024.
Keywords [en]
Remote ID; Trust-based approach; Unmanned Aircraft Systems; Collision Avoidance; DRIP; Airspace Safety
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-212431DOI: 10.1109/INCAS63820.2024.10798560ISI: 001416131900008Scopus ID: 2-s2.0-85217085560ISBN: 9798331534240 (print)ISBN: 9798331534233 (electronic)OAI: oai:DiVA.org:liu-212431DiVA, id: diva2:1945985
Conference
4th International Conference on Aerospace and Signal Processing, Cusco, PERU, nov 28-30, 2024
Note

Funding Agencies|Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation

Available from: 2025-03-20 Created: 2025-03-20 Last updated: 2025-03-24

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Wang, ZelongWzorek, MariuszLemetti, AnastasiaGurtov, Andrei

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Larsson-Kapp, ErnstKniivilä, VilleWang, ZelongWzorek, MariuszLemetti, AnastasiaGurtov, Andrei
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Department of Computer and Information ScienceDepartment of Science and TechnologyFaculty of Science & EngineeringDatabase and information techniquesArtificial Intelligence and Integrated Computer SystemsCommunications and Transport Systems
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