Deepwater 3D Measurements with a Novel Sensor System
A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolut...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/2/557 |
| _version_ | 1797340225971683328 |
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| author | Christian Bräuer-Burchardt Christoph Munkelt Michael Bleier Anja Baumann Matthias Heinze Ingo Gebhart Peter Kühmstedt Gunther Notni |
| author_facet | Christian Bräuer-Burchardt Christoph Munkelt Michael Bleier Anja Baumann Matthias Heinze Ingo Gebhart Peter Kühmstedt Gunther Notni |
| author_sort | Christian Bräuer-Burchardt |
| collection | DOAJ |
| description | A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolution 3D capture at a measuring volume of approximately 1 m<sup>3</sup>, as well as the simultaneous capture of color data using active stereo scanning with structured lighting, producing highly accurate and detailed 3D images for close-range inspection. Furthermore, the system uses visual inertial odometry to map the seafloor and create a rough 3D overall model of the environment via Simultaneous Localization and Mapping (SLAM). For this reason, the system is also suitable for geological, biological, or archaeological applications in underwater areas. This article describes the overall system and data processing, as well as initial results regarding the measurement accuracy and applicability from tests of the sensor system in a water basin and offshore with a Remotely Operating Vehicle (ROV) in the Baltic Sea. |
| first_indexed | 2024-03-08T09:58:54Z |
| format | Article |
| id | doaj.art-8881be23489545028f0b27899be1c140 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T09:58:54Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-8881be23489545028f0b27899be1c1402024-01-29T13:42:42ZengMDPI AGApplied Sciences2076-34172024-01-0114255710.3390/app14020557Deepwater 3D Measurements with a Novel Sensor SystemChristian Bräuer-Burchardt0Christoph Munkelt1Michael Bleier2Anja Baumann3Matthias Heinze4Ingo Gebhart5Peter Kühmstedt6Gunther Notni7Fraunhofer Institute for Applied Optics and Precision Engineering, Albert-Einstein-Str. 7, D-07745 Jena, GermanyFraunhofer Institute for Applied Optics and Precision Engineering, Albert-Einstein-Str. 7, D-07745 Jena, GermanyRobotics and Telematics Department of Computer Science, Julius-Maximilian University Würzburg, Sanderring 2, D-97070 Würzburg, Germany3plusplus GmbH, D-98527 Suhl, GermanyFraunhofer Institute for Applied Optics and Precision Engineering, Albert-Einstein-Str. 7, D-07745 Jena, GermanyFraunhofer Institute for Applied Optics and Precision Engineering, Albert-Einstein-Str. 7, D-07745 Jena, GermanyFraunhofer Institute for Applied Optics and Precision Engineering, Albert-Einstein-Str. 7, D-07745 Jena, GermanyFraunhofer Institute for Applied Optics and Precision Engineering, Albert-Einstein-Str. 7, D-07745 Jena, GermanyA novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolution 3D capture at a measuring volume of approximately 1 m<sup>3</sup>, as well as the simultaneous capture of color data using active stereo scanning with structured lighting, producing highly accurate and detailed 3D images for close-range inspection. Furthermore, the system uses visual inertial odometry to map the seafloor and create a rough 3D overall model of the environment via Simultaneous Localization and Mapping (SLAM). For this reason, the system is also suitable for geological, biological, or archaeological applications in underwater areas. This article describes the overall system and data processing, as well as initial results regarding the measurement accuracy and applicability from tests of the sensor system in a water basin and offshore with a Remotely Operating Vehicle (ROV) in the Baltic Sea.https://www.mdpi.com/2076-3417/14/2/557underwater 3D sensor systemdeepwaterstructured illuminationvisual odometrymotion compensation3D model generation |
| spellingShingle | Christian Bräuer-Burchardt Christoph Munkelt Michael Bleier Anja Baumann Matthias Heinze Ingo Gebhart Peter Kühmstedt Gunther Notni Deepwater 3D Measurements with a Novel Sensor System Applied Sciences underwater 3D sensor system deepwater structured illumination visual odometry motion compensation 3D model generation |
| title | Deepwater 3D Measurements with a Novel Sensor System |
| title_full | Deepwater 3D Measurements with a Novel Sensor System |
| title_fullStr | Deepwater 3D Measurements with a Novel Sensor System |
| title_full_unstemmed | Deepwater 3D Measurements with a Novel Sensor System |
| title_short | Deepwater 3D Measurements with a Novel Sensor System |
| title_sort | deepwater 3d measurements with a novel sensor system |
| topic | underwater 3D sensor system deepwater structured illumination visual odometry motion compensation 3D model generation |
| url | https://www.mdpi.com/2076-3417/14/2/557 |
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