Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles
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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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2025-06-01
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| Col·lecció: | Frontiers in Robotics and AI |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/articles/10.3389/frobt.2025.1609765/full |
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