Underwater topography measurement and observation in Southwest Taiwan using unmanned underwater vehicles

L. Mu, C. Chen, Char‐Shine Liu, Chao-Ming Yu, Ya-Chao Yang, Jia-Pu Jang, Po-Chi Chen, Shao-Yong Liu, Tzu-Ting Chen, C. Paull
{"title":"Underwater topography measurement and observation in Southwest Taiwan using unmanned underwater vehicles","authors":"L. Mu, C. Chen, Char‐Shine Liu, Chao-Ming Yu, Ya-Chao Yang, Jia-Pu Jang, Po-Chi Chen, Shao-Yong Liu, Tzu-Ting Chen, C. Paull","doi":"10.1109/OCEANS-TAIPEI.2014.6964394","DOIUrl":null,"url":null,"abstract":"With the depletion of land resources, marine resources development and utilization become increasingly apparent. Accompanied by the development of marine resources from nearshore extension to the deep ocean, Unmanned Underwater Vehicles (UUVs) become key instruments. Generally, UUVs include autonomous and tethered types; each has its advantages and disadvantages. Through the use of combined vehicle systems, we could take advantages of both systems. With the recent advent of seafloor observatories, deep submergence science is poised to enter a new research era where scientists will gain a more detailed understanding of various seafloor features. In this study, the Autonomous Underwater Vehicle (AUV) path planning in west Good Weather Ridge (119 55', 22 15') with the multi-beam echo sounder to obtain underwater topography. In order to observation the environment, the Remotely Operated Vehicle (ROV) is hired to carry out the terrain image at 1350m water depth in detailed. This experience will help to build future underwater investigation capabilities.","PeriodicalId":114739,"journal":{"name":"OCEANS 2014 - TAIPEI","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2014 - TAIPEI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS-TAIPEI.2014.6964394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

With the depletion of land resources, marine resources development and utilization become increasingly apparent. Accompanied by the development of marine resources from nearshore extension to the deep ocean, Unmanned Underwater Vehicles (UUVs) become key instruments. Generally, UUVs include autonomous and tethered types; each has its advantages and disadvantages. Through the use of combined vehicle systems, we could take advantages of both systems. With the recent advent of seafloor observatories, deep submergence science is poised to enter a new research era where scientists will gain a more detailed understanding of various seafloor features. In this study, the Autonomous Underwater Vehicle (AUV) path planning in west Good Weather Ridge (119 55', 22 15') with the multi-beam echo sounder to obtain underwater topography. In order to observation the environment, the Remotely Operated Vehicle (ROV) is hired to carry out the terrain image at 1350m water depth in detailed. This experience will help to build future underwater investigation capabilities.
台湾西南部无人潜航器水下地形测量与观测
随着陆地资源的枯竭,海洋资源的开发利用日益明显。随着海洋资源从近岸向深海的开发,无人潜航器成为海洋资源开发的关键工具。一般来说,uuv包括自主型和系留型;每一种都有其优点和缺点。通过使用联合车辆系统,我们可以利用这两个系统的优势。随着海底观测站的出现,深海潜水科学即将进入一个新的研究时代,科学家们将对海底的各种特征有更详细的了解。在本研究中,自主水下航行器(AUV)在Good Weather Ridge西部(119 55',22 15')进行路径规划,并使用多波束回声测深仪获取水下地形。为了对环境进行观测,利用ROV对1350m水深进行了详细的地形成像。这一经验将有助于建立未来的水下调查能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信