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Found 3 papers, 1 papers with code
Autonomous Underwater Robotic System for Aquaculture Applications
This work aims to develop a robotic-based automatic net defect detection system for aquaculture net pens oriented to on- ROV processing and real-time detection of different aqua-net defects such as biofouling, vegetation, net holes, and plastic.
Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV
In marine aquaculture, inspecting sea cages is an essential activity for managing both the facilities' environmental impact and the quality of the fish development process.
Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions
To overcome these issues, this paper presents an autonomous vision-based navigation framework for tracking target objects in extreme marine conditions.
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