The water coastline detection approaches based on USV vision
文献类型：会议论文
| 作者 | Dong HY(董慧颖); Xu, Peng; Liu, Qian; Xu HL(徐红丽)
|
| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| 会议日期 | June 8-12, 2015 |
| 会议地点 | Shenyang, China |
| 关键词 | Key words or phrases, Water surface mobile robots monocular vision edge detection coastline detection |
| 页码 | 404-408 |
| 中文摘要 | Inorder to avoide the obstacle objects when the unmaned watersurface vehicle (USV) navigating on the water surface, a coastline detected approach is presented in this paper. By using the video camera on robot boat, the riparian under the surface of the natural environment is detected so as for autonomous obstacle avoidance and navigation. The algorithm is based on the traditional LOG edge detection method and improving this algorithm by stretching gray scale of the second derivative. Then convolution and threshold by Otsu algorithm are used to segement the coastline. The simulation results show that this approach can denoise the influence of the surface disturbances and complex background affects. It is faster and more accurate than the traditional LOG algorithm, and it can also improve the riparian positioning accuracy. Through the real applying this algorithm can efficiently and real time work in USV system. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 会议录 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-4799-8730-6 |
| WOS记录号 | WOS:000380502300078 |
| 源URL | [http://ir.sia.cn/handle/173321/18507]  |
| 专题 | 沈阳自动化研究所_海洋信息技术装备中心 |
| 推荐引用方式 GB/T 7714 | Dong HY,Xu, Peng,Liu, Qian,et al. The water coastline detection approaches based on USV vision[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。