Modern Methods for UAV Detection, Classification, and Tracking

2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings 2022
Jurijs Sadovskis, Artūrs Āboltiņš

Detection and localization of unmanned aerial vehicles (UAV) are among the main problems of airports, military infrastructure, and security services due to modern UAV technology's growing availability and vast capabilities. Numerous studies addressed different methods of UAV detection; however, few articles compare existing methods in terms of their benefits and problems. In this article, the authors describe the main UAV detection methods: acoustic detection, radio frequency signal detection, visual detection, and radar detection. The authors compare and analyze the benefits and drawbacks of the presented methods and draw proposals for using the techniques and their combinations in real-life scenarios.

Keywords
drones, aircraft, reconnaissance, surveillance, monitoring, protection, object detection, computer vision, sensor arrays, rf signals, radar detection.
DOI
10.1109/RTUCON56726.2022.9978860
Hyperlink
https://ieeexplore-ieee-org.resursi.rtu.lv/document/9978860

Sadovskis, J., Āboltiņš, A. Modern Methods for UAV Detection, Classification, and Tracking. In: 2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings, Latvia, Riga, 10-12 October, 2022. Piscataway: IEEE, 2022, pp.138-144. ISBN 978-1-6654-6559-5. e-ISBN 978-1-6654-6558-8. Available from: doi:10.1109/RTUCON56726.2022.9978860

Publication language
English (en)