Research on submarine buried oil and gas pipeline autonomous inspection system of USV
文献类型：会议论文
| 作者 | Gao L(高雷) ; Gu HT(谷海涛); Feng L(冯亮)
|
| 出版日期 | 2019 |
| 会议日期 | June 16-21, 2019 |
| 会议地点 | Honolulu, HI, United states |
| 关键词 | Autonomous underwater vehicle Imaging sonar Sonar image processing Target classification |
| 页码 | 1664-1667 |
| 英文摘要 | The conventional method of survey utilizing manned vessel requires large investment with labor-intensive and time-consuming efforts. With the phenomenal progress of USV, the unmanned surface vessel (USV) has become a useful tool for surveyors and engineers who have always been seeking for a more productive and low-cost method as an alternative. This paper depicts a novel design of USV for autonomous detection and recognition of buried submarine pipeline. The design adopted a parametric sub-bottom profiling system with embedded algorithms for path planning, autonomous obstacle avoidance and autonomous pipeline recognition and navigation. The pipeline detection is based on the analysis of quadratic functions generated by the subbottom dataset. Compared to the conventional method, the use of USV equipped with sub-bottom profiling system turns out to be more useful and efficient for accurate detections of submarine pipeline. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 29th International Ocean and Polar Engineering Conference, ISOPE 2019
 |
| 会议录出版者 | International Society of Offshore and Polar Engineers |
| 会议录出版地 | Mountain View, CA, USA |
| 语种 | 英语 |
| ISSN号 | 1098-6189 |
| ISBN号 | 978-1-88065-385-2 |
| 源URL | [http://ir.sia.cn/handle/173321/26355]  |
| 专题 | 沈阳自动化研究所_海洋信息技术装备中心 |
| 通讯作者 | Gao L(高雷) |
| 作者单位 | State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning, China |
| 推荐引用方式 GB/T 7714 | Gao L,Gu HT,Feng L. Research on submarine buried oil and gas pipeline autonomous inspection system of USV[C]. 见:. Honolulu, HI, United states. June 16-21, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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