计算机工程与应用2025，Vol.61Issue(21)：1-14,14.DOI:10.3778/j.issn.1002-8331.2501-0014
基于多模态融合的无人机识别研究综述
Research Review of UAV Recognition Based on Multi-Modal Fusion
摘要
Abstract
With the rapid development of UAV technology,the application of related technologies is increasing,but it also brings many security risks and regulatory problems.As an important means to deal with these challenges,Anti-UAV detection technology has received extensive attention.Traditional UAV detection methods rely on a single modal data,such as vision,audio,radar and radio frequency signals,etc.However,these single modal data can obtain limited informa-tion in complex scenes.In recent years,deep learning methods have made good progress in the field of small object detec-tion,and the related research of multi-modal fusion technology has further improved the accuracy and robustness of object detection.This paper reviews the research progress in the field of UAV detection,and focuses on summarizing the current research status of multimodal fusion technology.In addition,the evaluation indicators and public datasets of related UAV detection are sorted out,the limitations of existing technologies are analyzed,and the research directions for improving detection accuracy and robustness in the future are also pointed out.关键词
多模态融合/无人机技术/小目标检测Key words
multi-modal fusion/UAV technology/small object detection分类
计算机与自动化引用本文复制引用
李旻姝,周莫涵,支瑞聪..基于多模态融合的无人机识别研究综述[J].计算机工程与应用,2025,61(21):1-14,14.基金项目
重点实验室创新基金(2022-JCJQ-LA-001-080) （2022-JCJQ-LA-001-080）
国家科技支撑计划(2018YFC0823002). （2018YFC0823002）
