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A review on underwater autonomous environmental perception and target grasp, the challenge of robotic organism capture
H Huang, Q Tang, J Li, W Zhang, X Bao, H Zhu… - Ocean …, 2020 - Elsevier
The worldwide demands for high protein seafood are growing rapidly. Through robots
instead of divers completing the capture will not only reduce the cost, but also improve the …
instead of divers completing the capture will not only reduce the cost, but also improve the …
Submerged aquatic vegetation: Overview of monitoring techniques used for the identification and determination of spatial distribution in European coastal waters
Coastal waters are highly productive and diverse ecosystems, often dominated by marine
submerged aquatic vegetation (SAV) and strongly affected by a range of human pressures …
submerged aquatic vegetation (SAV) and strongly affected by a range of human pressures …
Faster R-CNN based deep learning for seagrass detection from underwater digital images
Deep learning-based techniques have gained unprecedented success for object detection
tasks. The state of the art object detection accuracy and robustness have been achieved by …
tasks. The state of the art object detection accuracy and robustness have been achieved by …
Looking for seagrass: Deep learning for visual coverage estimation
G Reus, T Möller, J Jäger, ST Schultz… - 2018 OCEANS-MTS …, 2018 - ieeexplore.ieee.org
Underwater videography enables marine researchers to collect enormous amounts of
seagrass image data. This collection is fast and cheap but the manual analysis of such data …
seagrass image data. This collection is fast and cheap but the manual analysis of such data …
Multi-species seagrass detection and classification from underwater images
Underwater surveys conducted using divers or robots equipped with customized camera
payloads can generate a large number of images. Manual review of these images to extract …
payloads can generate a large number of images. Manual review of these images to extract …
Visual discrimination and large area map** of posidonia oceanica using a lightweight auv
Controlling and quantifying the presence of Posidonia Oceanica (PO) in the Mediterranean
sea is crucial for the conservation of these endemic ecosystems and to underscore the …
sea is crucial for the conservation of these endemic ecosystems and to underscore the …
A closer look at seagrass meadows: Semantic segmentation for visual coverage estimation
F Weidmann, J Jäger, G Reus, ST Schultz… - OCEANS 2019 …, 2019 - ieeexplore.ieee.org
Underwater imaging enables marine researchers to collect large datasets of seagrass
images. These images can be used to monitor the health state of underwater meadows by …
images. These images can be used to monitor the health state of underwater meadows by …
Design and vision based autonomous capture of sea organism with absorptive type remotely operated vehicle
Robot machine capture protein seafood like sea cucumber and seashell is expected to play
a great role in food economy improvement and divers protection. In order to realize robot …
a great role in food economy improvement and divers protection. In order to realize robot …
Machine learning and deep learning strategies to identify posidonia meadows in underwater images
This paper describes how to automatically identify Posidonea Oceanica (PO) from seabed
images gathered by a bottom-looking camera. Different methods based on machine learning …
images gathered by a bottom-looking camera. Different methods based on machine learning …
[HTML][HTML] A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation
Abstract The presence of Beggiatoa Spp. indicates anoxic conditions or 'poor condition'in
marine sediments beneath aquaculture pens, resulting from organic enrichment. Currently …
marine sediments beneath aquaculture pens, resulting from organic enrichment. Currently …