ROV Navigation in a Fish Cage with Laser-Camera Triangulation

Aquaculture net cage inspection and maintenance is a central issue in fish farming. Inspection using autonomous underwater vehicles is a promising solution. This paper proposes laser-camera triangulation for pose estimation to enable autonomous net following for an autonomous vehicle. The laser tria...

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Main Authors: Magnus Bjerkeng, Trine Kirkhus, Walter Caharija, Jens T. Thielemann, Herman B. Amundsen, Sveinung Johan Ohrem, Esten Ingar Grøtli
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/1/79
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author Magnus Bjerkeng
Trine Kirkhus
Walter Caharija
Jens T. Thielemann
Herman B. Amundsen
Sveinung Johan Ohrem
Esten Ingar Grøtli
author_facet Magnus Bjerkeng
Trine Kirkhus
Walter Caharija
Jens T. Thielemann
Herman B. Amundsen
Sveinung Johan Ohrem
Esten Ingar Grøtli
author_sort Magnus Bjerkeng
collection DOAJ
description Aquaculture net cage inspection and maintenance is a central issue in fish farming. Inspection using autonomous underwater vehicles is a promising solution. This paper proposes laser-camera triangulation for pose estimation to enable autonomous net following for an autonomous vehicle. The laser triangulation 3D data is experimentally compared to a doppler velocity log (DVL) in an active fish farm. We show that our system is comparable in performance to a DVL for distance and angular pose measurements. Laser triangulation is promising as a short distance ranging sensor for autonomous vehicles at a low cost compared to acoustic sensors.
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spelling doaj.art-c7679e7c48434164b698735f7f97461b2023-12-03T13:04:54ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-01-01917910.3390/jmse9010079ROV Navigation in a Fish Cage with Laser-Camera TriangulationMagnus Bjerkeng0Trine Kirkhus1Walter Caharija2Jens T. Thielemann3Herman B. Amundsen4Sveinung Johan Ohrem5Esten Ingar Grøtli6SINTEF Digital, 0373 Oslo, NorwaySINTEF Digital, 0373 Oslo, NorwaySINTEF Ocean, 7010 Trondheim, NorwaySINTEF Digital, 0373 Oslo, NorwaySINTEF Ocean, 7010 Trondheim, NorwaySINTEF Ocean, 7010 Trondheim, NorwaySINTEF Digital, 0373 Oslo, NorwayAquaculture net cage inspection and maintenance is a central issue in fish farming. Inspection using autonomous underwater vehicles is a promising solution. This paper proposes laser-camera triangulation for pose estimation to enable autonomous net following for an autonomous vehicle. The laser triangulation 3D data is experimentally compared to a doppler velocity log (DVL) in an active fish farm. We show that our system is comparable in performance to a DVL for distance and angular pose measurements. Laser triangulation is promising as a short distance ranging sensor for autonomous vehicles at a low cost compared to acoustic sensors.https://www.mdpi.com/2077-1312/9/1/79autonomous navigationrange sensinginspection and maintenance3D vision
spellingShingle Magnus Bjerkeng
Trine Kirkhus
Walter Caharija
Jens T. Thielemann
Herman B. Amundsen
Sveinung Johan Ohrem
Esten Ingar Grøtli
ROV Navigation in a Fish Cage with Laser-Camera Triangulation
Journal of Marine Science and Engineering
autonomous navigation
range sensing
inspection and maintenance
3D vision
title ROV Navigation in a Fish Cage with Laser-Camera Triangulation
title_full ROV Navigation in a Fish Cage with Laser-Camera Triangulation
title_fullStr ROV Navigation in a Fish Cage with Laser-Camera Triangulation
title_full_unstemmed ROV Navigation in a Fish Cage with Laser-Camera Triangulation
title_short ROV Navigation in a Fish Cage with Laser-Camera Triangulation
title_sort rov navigation in a fish cage with laser camera triangulation
topic autonomous navigation
range sensing
inspection and maintenance
3D vision
url https://www.mdpi.com/2077-1312/9/1/79
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