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Trust-Based Collision Avoidance for Unmanned Aircraft Systems
Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för datavetenskap, Databas och informationsteknik. Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0009-0003-5645-2639
Linköpings universitet, Institutionen för datavetenskap, Artificiell intelligens och integrerade datorsystem. Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska fakulteten.
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2024 (engelsk)Inngår i: 2024 IEEE INTERNATIONAL CONFERENCE ON AEROSPACE AND SIGNAL PROCESSING, INCAS 2024, IEEE , 2024Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE , 2024.
Emneord [en]
Remote ID; Trust-based approach; Unmanned Aircraft Systems; Collision Avoidance; DRIP; Airspace Safety
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Identifikatorer
URN: urn:nbn:se:liu:diva-212431DOI: 10.1109/INCAS63820.2024.10798560ISI: 001416131900008Scopus ID: 2-s2.0-85217085560ISBN: 9798331534240 (tryckt)ISBN: 9798331534233 (digital)OAI: oai:DiVA.org:liu-212431DiVA, id: diva2:1945985
Konferanse
4th International Conference on Aerospace and Signal Processing, Cusco, PERU, nov 28-30, 2024
Merknad

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

Tilgjengelig fra: 2025-03-20 Laget: 2025-03-20 Sist oppdatert: 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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Totalt: 202 treff
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