High-precision real-time UAV target recognition based on improved YOLOv4

doi:10.1016/j.comcom.2023.04.019

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	High-precision real-time UAV target recognition based on improved YOLOv4
	Y. Dong; Y. Ma; Y. Li and Z. Li
	2023
发表期刊	Computer Communications
ISSN	01403664
卷号	206 页码:124-132
摘要	In recent years, unmanned aerial vehicles (UAVs) have gained widespread use in both military and civilian fields with the advancement of aviation technology and improved communication capabilities. However, the phenomenon of unauthorized UAV flights, or "black flying", poses a serious threat to the safe flight of aircraft in airspace and public safety. To effectively interfere with and attack UAV targets, it is crucial to enhance the detection and identification of "low, slow and small" UAVs. This study focuses on achieving high-precision and lightweight detection and identification of four-rotor, six-rotor, and fixed-wing UAVs in low-altitude complex environments. By combining deep learning target detection with superresolution feature enhancement, a lightweight UAV detection model is designed and field-tested for verification. To address the challenge of detecting small UAV targets with limited information, the feature fusion network is enhanced based on the traditional YOLOv4 algorithm to improve the detection ability of small targets via small target enhancement and candidate box adjustment. The feasibility of the improved network is quantitatively and qualitatively analyzed. Channel pruning and layer pruning are then applied to the network, significantly reducing its depth and width and realizing a lightweight network. Finally, reasoning quantification is conducted on the embedded platform to enable end-side deployment of the target detection algorithm. © 2023 Elsevier B.V.
DOI	10.1016/j.comcom.2023.04.019
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67442
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Dong,Y. Ma,Y. Li and Z. Li. High-precision real-time UAV target recognition based on improved YOLOv4[J]. Computer Communications,2023,206:124-132.
APA	Y. Dong,Y. Ma,&Y. Li and Z. Li.(2023).High-precision real-time UAV target recognition based on improved YOLOv4.Computer Communications,206,124-132.
MLA	Y. Dong,et al."High-precision real-time UAV target recognition based on improved YOLOv4".Computer Communications 206(2023):124-132.

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