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AD-YOLOv5s based UAV detection for low altitude security

文献类型：期刊论文

作者Shang, Yuanfeng1,2,5; Liu, Chang1,2,5; Qiu, Dawei1,2,4,5; Zhao, Zixu1,2,3,5; Wu, Ruikang1,2,5; Tang, Shuyuan1,3
刊名INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES
出版日期2023
卷号15页码:19
ISSN号1756-8293
关键词Low Altitude Security object detection embedded deployment deep learning UAV
DOI10.1177/17568293231190017
英文摘要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).
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
语种英语
出版者SAGE PUBLICATIONS LTD
WOS记录号WOS:001037734500001
源URL[http://119.78.100.204/handle/2XEOYT63/21281]  
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.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
3.Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China
4.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
5.Univ Chinese Acad Sci, 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.

入库方式： OAI收割

来源：计算技术研究所

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