Secure Remote ID and Detect-and-Avoid in Unmanned Aerial Systems: Modeling The Maximum Safe SpeedShow 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]
This study presents a comprehensive analysis of integrating Remote Identification (Remote ID) and Detect-and-Avoid (DAA) systems within Unmanned Aerial Systems (UAS) to enhance airspace safety by modeling the maximum safe operating speeds. Through mathematical modeling and extensive simulations, this research investigates the operational constraints imposed by factors such as the effective range of Remote ID broadcasts, signal latency, and the UAS's deceleration capabilities. Results provide insights into how safety margins can be affected by technological and environmental factors.
Place, publisher, year, edition, pages
IEEE , 2024.
Keywords [en]
Remote ID; Detect-and-Avoid; Unmanned Aerial Systems; UAS; Collision Avoidance; Airspace Safety
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-212413DOI: 10.1109/INCAS63820.2024.10798556ISI: 001416131900004Scopus ID: 2-s2.0-85217083104ISBN: 9798331534240 (print)ISBN: 9798331534233 (electronic)OAI: oai:DiVA.org:liu-212413DiVA, id: diva2:1945900
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
2025-03-192025-03-192025-03-24