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

Article Robotics

Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs)

Oystein Volden et al.

Summary: This paper introduces an independent stereo-vision based positioning system for docking operations, which utilizes a learning-based object detection model and a mix of data-driven and traditional computer vision methods to achieve robust detections in outdoor environments. Experimental results show the system's accuracy and reliability in various docking scenarios.

INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS (2022)

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Article Agricultural Engineering

Research on intelligent damage detection of far-sea cage based on machine vision and deep learning

Wenxuan Liao et al.

Summary: This paper proposes a method for detecting damage of far-sea cages based on machine vision and deep learning, using an improved multi-scale fusion algorithm and MobileNet-SSD model to achieve real-time and accurate detection of damaged areas in the cage, improving inspection efficiency.

AQUACULTURAL ENGINEERING (2022)

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Article Remote Sensing

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Naomi A. Ubina et al.

Summary: This paper provides an overview of the capabilities of unmanned systems in monitoring and managing aquaculture farms using the Internet of Things. Unmanned vehicle technologies offer greater efficiency and accuracy, including cage detection and illegal fishing surveillance. They can also act as communication gateways for offshore cages equipped with sensors.

DRONES (2022)

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Article Engineering, Civil

Autonomous ROV Inspections of Aquaculture Net Pens Using DVL

Herman B. Amundsen et al.

Summary: This article introduces a method for guiding a remotely operated vehicle through an aquaculture net pen by approximating the geometry of the net pen and using a nonlinear guidance law to minimize crosstrack error. The Lyapunov analysis shows that the ROV can follow a continuous path in the presence of a constant irrotational ocean current. Simulations and experiments demonstrate the performance of the net pen approximation and control system.

IEEE JOURNAL OF OCEANIC ENGINEERING (2022)

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Article Engineering, Marine

An integrated approach for monitoring structural deformation of aquaculture net cages

Biao Su et al.

Summary: This study introduces a new method for real-time monitoring of net cage deformations, integrating positioning sensor data into a numerical model. The results show that this integrated approach is effective for accurately predicting current velocity profiles and net positions in field experiments.

OCEAN ENGINEERING (2021)

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Article Engineering, Marine

ROV Navigation in a Fish Cage with Laser-Camera Triangulation

Magnus Bjerkeng et al.

Summary: The paper presents laser-camera triangulation for pose estimation in aquaculture net cage inspection, enabling autonomous net following for underwater vehicles. Experimental results show that laser triangulation is comparable to the performance of a doppler velocity log (DVL) in terms of distance and angular pose measurements. Laser triangulation is a promising and cost-effective short distance ranging sensor for autonomous vehicles when compared to acoustic sensors.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)

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Review Engineering, Biomedical

Applying Artificial Intelligence (AI) Techniques to Implement a Practical Smart Cage Aquaculture Management System

Chung-Cheng Chang et al.

Summary: This study establishes an AIoT smart cage culture management system, successfully integrating artificial intelligence and Internet of Things technologies, which can help aquaculture operators improve feed utilization, monitor fish growth, and increase fish survival rate.

JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2021)

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Proceedings Paper Automation & Control Systems

Vision-based pose estimation for autonomous operations in aquacultural fish farms

Christian Schellewald et al.

Summary: This paper proposes a new approach for remotely operating underwater robots using computer vision to achieve a high degree of autonomy in ROV operations. The method is validated in simulation as well as demonstrated in real-world recordings.

IFAC PAPERSONLINE (2021)

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Article Agricultural Engineering