Motion Behavior Recognition of Underwater Vehicle Based on YOLOv3
文献类型：会议论文
| 作者 | Tang LS(唐磊生)3,4; Hou, Jing3; Xu HL(徐红丽)2 ; Wu MY(吴梦妍)4; Xia, Xinyang1; Cui, Yifan5
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| 出版日期 | 2020 |
| 会议日期 | October 28-30, 2020 |
| 会议地点 | Xi'an, Virtual, China |
| 关键词 | YOLOv3 Neural Networks Underwater Vehicle Detection Target Recognition |
| 页码 | 1-6 |
| 英文摘要 | As an important tool for human exploration and understanding of the ocean, underwater vehicle cannot achieve real-time cooperation due to the limitations of underwater acoustic communication. In order to realize the recognition and perception of the cooperative object behavior of underwater vehicle by vision, a new method is provided for the cooperation between underwater vehicle. Select YOLOv3 target detection algorithm, this paper to test the underwater vehicle motion behavior recognition, first of all, the collected experimental data set, using Label Image software training set and testing set of calibration, and modify the YOLOv3 classifier, change the output of the network dimension, optimization of network parameters and accelerate the convergence of the model, by analysing the experimental result shows that using YOLOv3 network, can realize the four directions to set an underwater vehicle motion behavior recognition, and ensure the accuracy and speed, the foundation for subsequent underwater vehicle based on visual collaboration. |
| 产权排序 | 1 |
| 会议录 | 2020 International Conference on Mechanical Automation and Computer Engineering, MACE 2020 - Mechanical Automation
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| 会议录出版者 | IOP Publishing Ltd |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1742-6588 |
| 源URL | [http://ir.sia.cn/handle/173321/28489]  |
| 专题 | 沈阳自动化研究所_海洋信息技术装备中心 |
| 通讯作者 | Hou, Jing |
| 作者单位 | 1.Shenyang University of Technology, Liaoning, China 2.Northeastern University, Liaoning, China 3.Shenyang Jianzhu University, Liaoning, China 4.Shenyang Institute of Automation Chinese Academy of Science, Liaoning, China 5.Hai Nan University, Hai Kou, China |
| 推荐引用方式 GB/T 7714 | Tang LS,Hou, Jing,Xu HL,et al. Motion Behavior Recognition of Underwater Vehicle Based on YOLOv3[C]. 见:. Xi'an, Virtual, China. October 28-30, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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