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    Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles

    Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles mā Marco Job, Marco Job, David Botta, Victor Reijgwart, Luca Ebner, Andrej Studer, Roland Siegwart, Eleni Kelasidi, Eleni Kelasidi, Eleni Kelasidi

    I whakaputaina 2025-06-01

    This paper presents a general framework that integrates visual and acoustic sensor data to enhance localization and mapping in complex, highly dynamic underwater environments, with a particular focus on fish farming. The pipeline enables net-relative pose estimation for Unmanned Underwater Vehicles...

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