{"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.