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.
Wang et al. (Sun,) studied this question.
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