Trust-Based Collision Avoidance for Unmanned Aircraft SystemsShow others and affiliations
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
2025-03-202025-03-202025-03-24