2021
DOI: 10.3390/jmse9010079
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ROV Navigation in a Fish Cage with Laser-Camera Triangulation

Abstract: 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 tr… Show more

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Cited by 35 publications
(13 citation statements)
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“…(a) is an artistic representation of a figure presented in Foley & Mindell (2002), © David Mindell, MIT DeepArch. (b)–(d) were adapted from Bjerkeng et al (2021) and used under a CC BY Creative Commons licence ( https://creativecommons.org/licenses/by/4.0/). Some texts were added to (d).…”
Section: Using Uuvs In the Amazon Basinmentioning
confidence: 99%
“…(a) is an artistic representation of a figure presented in Foley & Mindell (2002), © David Mindell, MIT DeepArch. (b)–(d) were adapted from Bjerkeng et al (2021) and used under a CC BY Creative Commons licence ( https://creativecommons.org/licenses/by/4.0/). Some texts were added to (d).…”
Section: Using Uuvs In the Amazon Basinmentioning
confidence: 99%
“…It is equipped with six thrusters in which four are placed in the horizontal plane, and two are in the vertical plane to guarantee actuation in 4 degrees of freedom to resist water surges, sways, heaves, and yaw. The ROV is equipped with sensors to perform net cage inspection [173].…”
Section: Aquaculture Farm Monitoring and Managementmentioning
confidence: 99%
“…Underwater video camera systems, either fixed or mounted on underwater vehicles, are increasingly common in net‐pen farms for in‐water equipment inspections, monitoring animal welfare, and farm security (Bjerkeng et al, 2021; Livanos et al, 2018; Shortis et al, 2016). Technological advances in automated visual systems support two approaches for the noninvasive measurement of fish morphological features.…”
Section: Monitoring Tools and Strategiesmentioning
confidence: 99%