Multimodal Anti-UAV Detection System and Technology
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