Article · International Journal of Critical Infrastructure Protection · February 11, 2025
Advances in UAV detection: integrating multi-sensor systems and AI for enhanced accuracy and efficiency
Vladislav Semenyuk, Kurmashev Ildar Gusmanovich, Alberto Lupidi, Dmitriy Alyoshin, Liliya Kurmasheva, Alessandro Cantelli‐Forti
Abstract
This review critically examines the progress in unmanned aerial vehicle (UAV) detection and classification technologies from 2020 to the present. It highlights a range of detection methods, including radar, radio frequency (RF), optical, and acoustic sensors, with particular emphasis on the integration of these technologies through advanced sensor fusion techniques. The paper explores the core technologies driving improvements in detection accuracy, range, and reliability, with a special focus on the transformative role of artificial intelligence and machine learning. These innovations have significantly enhanced system performance, enabling more precise and efficient UAV detection. The review concludes with insights into emerging trends and future developments that promise to further refine UAV detection technologies, ensuring greater security and operational reliability.
More by Ildar Kurmashev
- Development and Evaluation of YOLO26-Refined: A P2-FPN and CBAM-Enhanced Architecture for Detection of Gram-Stained Bacterial Cells in Microscopic ImagesApplied Sciences · 2026
- Sentiment Analysis of Nuclear Waste on Twitter and Instagram DataInternational Journal on Advanced Science Engineering and Information Technology · 2026
- Revealing intrinsic dimensionality patterns in semantic spaces of natural languages using graph algorithmsEastern-European Journal of Enterprise Technologies · 2026
- DEVELOPMENT OF A REAL-TIME UAV RECOGNITION MODEL BASED ON YOLOV10 NEURAL NETWORKHerald of Kazakh-British technical university · 2025