一种AUV水下管道跟踪视觉控制方案

W. Akram, A. Casavola
{"title":"一种AUV水下管道跟踪视觉控制方案","authors":"W. Akram, A. Casavola","doi":"10.1109/ICAS49788.2021.9551173","DOIUrl":null,"url":null,"abstract":"Inspection of submarine cables and pipelines is nowadays more and more carried out by Autonomous Underwater Vehicles (AUVs) because of their low operative costs, much less than those pertaining to the traditional SHIP/ROV-based (Remotely Operated Vehicles) industrial practice, and for the improvements in their effectiveness due to technological and methodological progress in the field. In this paper, we discuss the design of a visual control scheme aimed at solving a pipeline tracking control problem. The presented scheme consists of autonomously generating a reference path of an underwater pipeline deployed on the seabed from the images taken by a camera mounted on the AUV in order to allow the vehicle to move parallel to the longitudinal axis of the pipeline so as to inspect its status. The robustness of the scheme is also shown by adding external disturbances to the closed-loop control systems. We present a comparative simulation study under Robot Operating System (ROS) to find out suitable solutions for the underwater pipeline tracking problem.","PeriodicalId":287105,"journal":{"name":"2021 IEEE International Conference on Autonomous Systems (ICAS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Visual Control Scheme for AUV Underwater Pipeline Tracking\",\"authors\":\"W. Akram, A. Casavola\",\"doi\":\"10.1109/ICAS49788.2021.9551173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inspection of submarine cables and pipelines is nowadays more and more carried out by Autonomous Underwater Vehicles (AUVs) because of their low operative costs, much less than those pertaining to the traditional SHIP/ROV-based (Remotely Operated Vehicles) industrial practice, and for the improvements in their effectiveness due to technological and methodological progress in the field. In this paper, we discuss the design of a visual control scheme aimed at solving a pipeline tracking control problem. The presented scheme consists of autonomously generating a reference path of an underwater pipeline deployed on the seabed from the images taken by a camera mounted on the AUV in order to allow the vehicle to move parallel to the longitudinal axis of the pipeline so as to inspect its status. The robustness of the scheme is also shown by adding external disturbances to the closed-loop control systems. We present a comparative simulation study under Robot Operating System (ROS) to find out suitable solutions for the underwater pipeline tracking problem.\",\"PeriodicalId\":287105,\"journal\":{\"name\":\"2021 IEEE International Conference on Autonomous Systems (ICAS)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Autonomous Systems (ICAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAS49788.2021.9551173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Autonomous Systems (ICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAS49788.2021.9551173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

由于自主水下航行器(auv)的操作成本低,远低于传统的基于SHIP/ rov(远程操作车辆)的工业实践,并且由于该领域技术和方法的进步,其有效性得到了提高,因此现在越来越多地使用auv进行海底电缆和管道的检查。在本文中,我们讨论了一种可视化控制方案的设计,旨在解决管道跟踪控制问题。该方案由安装在水下航行器上的摄像机拍摄的图像自动生成部署在海床上的水下管道的参考路径,以允许车辆平行于管道的纵轴移动,从而检查其状态。通过在闭环控制系统中加入外部干扰,证明了该方案的鲁棒性。在机器人操作系统(ROS)下进行了对比仿真研究,为水下管道跟踪问题寻找合适的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Visual Control Scheme for AUV Underwater Pipeline Tracking
Inspection of submarine cables and pipelines is nowadays more and more carried out by Autonomous Underwater Vehicles (AUVs) because of their low operative costs, much less than those pertaining to the traditional SHIP/ROV-based (Remotely Operated Vehicles) industrial practice, and for the improvements in their effectiveness due to technological and methodological progress in the field. In this paper, we discuss the design of a visual control scheme aimed at solving a pipeline tracking control problem. The presented scheme consists of autonomously generating a reference path of an underwater pipeline deployed on the seabed from the images taken by a camera mounted on the AUV in order to allow the vehicle to move parallel to the longitudinal axis of the pipeline so as to inspect its status. The robustness of the scheme is also shown by adding external disturbances to the closed-loop control systems. We present a comparative simulation study under Robot Operating System (ROS) to find out suitable solutions for the underwater pipeline tracking problem.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improving Automated Search for Underwater Threats Using Multistatic Sensor Fields by Incorporating Unconfirmed Track Information Matching Models for Crowd-Shipping Considering Shipper’s Acceptance Uncertainty Observational Learning: Imitation Through an Adaptive Probabilistic Approach Simultaneous Calibration of Positions, Orientations, and Time Offsets, Among Multiple Microphone Arrays Modified crop health monitoring and pesticide spraying system using NDVI and Semantic Segmentation: An AGROCOPTER based approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1