Multimodal Anti-UAV Detection System and Technology

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Authors: Dong Wang, Jie Zhao, Yang Liu, Lu Zhang, Huchuan Lu
Cited by: 0
References: 52

Abstract

With the rapid proliferation of civilian and commercial unmanned aerial vehicle technologies,low-altitude airspace security is facing unprecedented challenges. Driven by Anti-UAV defense requirements,multimodal Anti-UAV detection has emerged as a key research direction in this field and has laid an important foundation for academic exchange and technological development. In this context,this paper provides a systematic review of recent research progress in this area. First,it outlines the evolution of Anti-UAV challenges and compares existing technological frameworks. Next,it analyzes advancements in Anti-UAV detection from three perspectives:visual perception,single-sensor systems,and multi-sensor fusion. Subsequently,it comprehensively summarizes mainstream Anti-UAV detection datasets and major international competitions. Finally,the paper offers a forward-looking analysis of future research directions. Aimed at supporting the development of efficient,intelligent,and scalable Anti-UAV systems,this study contributes theoretical and technical insights to promote the continuous improvement of national low-altitude security infrastructure.

Fields of Study & Subjects

Advanced Neural Network Applications Video Surveillance and Tracking Methods Military Technology and Strategies

Publication details

Journal / source
中国科学基金
Volume
40
Issue
1
Pages
73–84
Publication date
1 February 2026
Language
EN