Eye on the back: augmented visuals for improved ROV teleoperation in deep water surveillance and inspection

Md. Jahidul Islam
{"title":"Eye on the back: augmented visuals for improved ROV teleoperation in deep water surveillance and inspection","authors":"Md. Jahidul Islam","doi":"10.1117/12.3015091","DOIUrl":null,"url":null,"abstract":"Underwater ROVs (Remotely Operated Vehicles) play a crucial role in subsea inspection, remote surveillance, and deep-water explorations. Typically, a surface operator controls the ROV based on its real-time camera data, which is first-person visual feedback. However, underwater ROVs’ onboard camera feed only offers a low-resolution and often noisy egocentric view - that is not very informative in deep water and adverse visual conditions. To address this, we introduce the “Eye On the Back (EOB)” technology to provide a third-person view for improved underwater ROV teleoperation. Integrating EOB views to teleoperation consoles facilitates interactive features with augmented visuals for the teleoperator as well as for enabling semi-autonomous behavior such as next-best-view planner and active ROV localization. We conduct a series of field experiments to validate this technology for remote ROV teleoperation in underwater cave exploration and subsea structure inspection tasks. We are currently developing an end-to-end portable solution that can be integrated into existing ROV platforms for general-purpose subsea telerobotics applications.","PeriodicalId":178341,"journal":{"name":"Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Defense + Commercial Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3015091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Underwater ROVs (Remotely Operated Vehicles) play a crucial role in subsea inspection, remote surveillance, and deep-water explorations. Typically, a surface operator controls the ROV based on its real-time camera data, which is first-person visual feedback. However, underwater ROVs’ onboard camera feed only offers a low-resolution and often noisy egocentric view - that is not very informative in deep water and adverse visual conditions. To address this, we introduce the “Eye On the Back (EOB)” technology to provide a third-person view for improved underwater ROV teleoperation. Integrating EOB views to teleoperation consoles facilitates interactive features with augmented visuals for the teleoperator as well as for enabling semi-autonomous behavior such as next-best-view planner and active ROV localization. We conduct a series of field experiments to validate this technology for remote ROV teleoperation in underwater cave exploration and subsea structure inspection tasks. We are currently developing an end-to-end portable solution that can be integrated into existing ROV platforms for general-purpose subsea telerobotics applications.
背后之眼:增强视觉效果,改进遥控潜水器在深水监视和检查中的远程操作
水下遥控潜水器(ROV)在海底检查、远程监控和深水勘探中发挥着至关重要的作用。通常情况下,水面操作员根据实时摄像头数据控制 ROV,这是第一人称视觉反馈。然而,水下遥控潜水器的机载摄像头只能提供低分辨率且经常嘈杂的自我中心视图--在深水和不利的视觉条件下,这种视图的信息量并不大。为了解决这个问题,我们引入了 "背后之眼(EOB)"技术,为改进水下遥控潜水器遥控操作提供第三人称视角。将 EOB 视图集成到遥控操作控制台可为遥控操作员提供增强视觉效果的互动功能,并实现半自主行为,如下一个最佳视图规划和主动遥控潜水器定位。我们进行了一系列现场实验,以验证该技术在水下洞穴勘探和海底结构检测任务中的远程遥控操作。我们目前正在开发一种端到端便携式解决方案,可集成到现有的 ROV 平台中,用于通用水下远程机器人应用。
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
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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