AD-YOLOv5s based UAV detection for low altitude security

doi:10.1177/17568293231190017

	AD-YOLOv5s based UAV detection for low altitude security
	Shang, Yuanfeng 1,2,3; Liu, Chang 1,2,3; Qiu, Dawei 1,2,3,5; Zhao, Zixu 1,2,3,4; Wu, Ruikang 1,2,3; Tang, Shuyuan 1,4
	2023
发表期刊	INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES
ISSN	1756-8293
卷号	15 页码:19
摘要	UAV (Unmanned Aerial Vehicle) black flight at low altitude could cause serious safety risks. Consequently, it is crucial to detect and manage low altitude small UAVs. The existing methods of low altitude small UAV detection suffer from problems such as high false alarm rate, and poor real-time performance. In order to solve the above problems, we present a novel approach, named AD-YOLOv5s, to achieve low altitude small UAV detection with high precision and high real-time performance. Firstly, the feature enhancement method is used to expand the dataset. We optimize the model feature fusion, the prediction head structure, and the loss function. Based on the CBAM (Convolutional Block Attention Module) attention mechanism, feature enhancement is performed to improve the detection accuracy. Secondly, the ghost module and depthwise separable convolution are used to reduce the number of parameters of the model, and we propose the method of lightweight design of model to improve the detection speed. Compared with the YOLOv5s model, the experiment result shows that our proposed AD-YOLOv5s model improves the value of mAP by 2.2% and the value of Recall by 1.8%, reduces the value of GFLOPs by 29.9% and parameters by 38.8%, and achieves 27.6 FPS when the proposed model deploy on a low-cost edge computing device (jetson nano).
关键词	Low Altitude Security object detection embedded deployment deep learning UAV
DOI	10.1177/17568293231190017
收录类别	SCI
语种	英语
资助项目	National Key Ramp;D Program of China[2022YFC3320800] ; Zhejiang Provincial Key Ramp;D Plan of China[2021C01040]
WOS研究方向	Engineering
WOS类目	Engineering, Aerospace
WOS记录号	WOS:001037734500001
出版者	SAGE PUBLICATIONS LTD
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21282
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Qiu, Dawei
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 4.Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol,State Key Lab Processors,CAS, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Shang, Yuanfeng,Liu, Chang,Qiu, Dawei,et al. AD-YOLOv5s based UAV detection for low altitude security[J]. INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES,2023,15:19.
APA	Shang, Yuanfeng,Liu, Chang,Qiu, Dawei,Zhao, Zixu,Wu, Ruikang,&Tang, Shuyuan.(2023).AD-YOLOv5s based UAV detection for low altitude security.INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES,15,19.
MLA	Shang, Yuanfeng,et al."AD-YOLOv5s based UAV detection for low altitude security".INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES 15(2023):19.