4.6 Article

A Visual Servoing Scheme for Autonomous Aquaculture Net Pens Inspection Using ROV

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SENSORS
卷 22, 期 9, 页码 -

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MDPI
DOI: 10.3390/s22093525

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autonomous vehicles; inspection; aquaculture applications; computer vision

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Aquaculture net pens inspection and monitoring are crucial for ensuring net stability and fish health in fish farms. Remotely operated vehicles (ROVs) provide a cost-effective and sophisticated solution for underwater fish net pens inspection due to their visual sensing and autonomy capabilities in challenging aquaculture environments. This paper presents an integration of an ROV with a visual servoing scheme for regular inspection and tracking of net pens, utilizing a vision-based positioning scheme and closed-loop control to traverse along the net plane for status inspection. Extensive experimental results have shown satisfactory performance, supplementing traditional aquaculture net pens inspection systems.
Aquaculture net pens inspection and monitoring are important to ensure net stability and fish health in the fish farms. Remotely operated vehicles (ROVs) offer a low-cost and sophisticated solution for the regular inspection of the underwater fish net pens due to their ability of visual sensing and autonomy in a challenging and dynamic aquaculture environment. In this paper, we report the integration of an ROV with a visual servoing scheme for regular inspection and tracking of the net pens. We propose a vision-based positioning scheme that consists of an object detector, a pose generator, and a closed-loop controller. The system employs a modular approach that first utilizes two easily identifiable parallel ropes attached to the net for image processing through traditional computer vision methods. Second, the reference positions of the ROV relative to the net plane are extracted on the basis of a vision triangulation method. Third, a closed-loop control law is employed to instruct the vehicle to traverse from top to bottom along the net plane to inspect its status. The proposed vision-based scheme has been implemented and tested both through simulations and field experiments. The extensive experimental results have allowed the assessment of the performance of the scheme that resulted satisfactorily and can supplement the traditional aquaculture net pens inspection and tracking systems.

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