Review on light vision detection of surface obstacles for USV
文献类型：会议论文
| 作者 | Zhang, Chao2,3 ; Liu, Jinqing2; Xiao JC(肖金超)1,3; Xiong JF(熊俊峰)1,3
|
| 出版日期 | 2021 |
| 会议日期 | May 28-30, 2021 |
| 会议地点 | Nanchang, China |
| 关键词 | Unmanned surface vehicle visible vision obstacle detection environment perception |
| 页码 | 390-395 |
| 英文摘要 | Unmanned surface vehicle (USV) is a kind of intelligent ship which can sense the external environment in real time and make correct evaluation and response to the external environment. In practical application, the detection of surface obstacles is an important prerequisite for autonomous navigation and operation of unmanned vessels. At present, there are many kinds of technologies for water surface obstacle detection. The detection technology based on optical vision has the advantages of simple structure, low cost, easy access to data and large amount of information. Compared with other perception systems, it has its unique advantages. In this paper, according to the actual process of USV water surface obstacle light vision detection, the framework of USV light vision detection system is described in general. Then according to the detection steps, the water surface image acquisition, water surface image preprocessing and water surface obstacle detection are introduced in turn. Finally, the future research direction of USV water surface obstacle light vision detection is prospected. |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2021 36th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-3712-7 |
| 源URL | [http://ir.sia.cn/handle/173321/29409]  |
| 专题 | 沈阳自动化研究所_广州中国科学院沈阳自动化研究所分所 |
| 通讯作者 | Liu, Jinqing |
| 作者单位 | 1.Academicians Experts Workstation, Shenyang Institute of Automation, Guangzhou, China 2.College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China 3.Shenyang Institute of Automation (Guangzhou), Chinese Academy of Sciences, Guangzhou 511458, China |
| 推荐引用方式 GB/T 7714 | Zhang, Chao,Liu, Jinqing,Xiao JC,et al. Review on light vision detection of surface obstacles for USV[C]. 见:. Nanchang, China. May 28-30, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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