Small Unmanned Surface Vessels—A Review and Critical Analysis of Relations to Safety and Safety Assurance of Larger Autonomous Ships

V Bolbot, A Sandru, T Saarniniemi, O Puolakka… - Journal of Marine …, 2023 - mdpi.com
Autonomous ships represent an emerging paradigm within the maritime sector, poised to
bring multiple advantages. Although numerous prototypes have been developed, the …

Angular rate-constrained path planning algorithm for unmanned surface vehicles

H Kim, D Kim, JU Shin, H Kim, H Myung - Ocean Engineering, 2014 - Elsevier
This study suggests a new approach based on Theta* algorithm to create paths in real-time,
considering both angular rate (yaw rate) and heading angle of unmanned surface vehicles …

Image-based monitoring of jellyfish using deep learning architecture

H Kim, J Koo, D Kim, S Jung, JU Shin… - IEEE sensors …, 2016 - ieeexplore.ieee.org
Jellyfish blooms have caused great damage to the fishery industry. In efforts to solve this
problem, various systems to remove jellyfish have been proposed. This letter presents …

JF-YOLO: the jellyfish bloom detector based on deep learning

W Zhang, F Rui, C **ao, H Li, Y Li - Multimedia Tools and Applications, 2024 - Springer
The unmonitored jellyfish boom inevitably destroys coastal biodiversities as a type of
planktons with extremely high fecundity. It even seriously endangers people's economic and …

Management of jellyfish outbreaks to achieve good environmental status

Y Sagarminaga, S Piraino, CP Lynam… - Frontiers in Ocean …, 2024 - frontiersin.org
Jellyfish and gelatinous zooplankton (GZ) in general, fulfill important ecological roles with
significant impacts, although they are often oversimplified or misunderstood. This paper …

An extended any-angle path planning algorithm for maintaining formation of multi-agent jellyfish elimination robot system

H Kim, D Kim, H Kim, JU Shin, H Myung - International Journal of Control …, 2016 - Springer
In recent years, the increasing influence of climate change has given rise to an uncontrolled
proliferation of jellyfish in marine habitats that has visibly damaged many ecosystems and …

Development of a UAV-type jellyfish monitoring system using deep learning

H Kim, D Kim, S Jung, J Koo, JU Shin… - … on ubiquitous robots …, 2015 - ieeexplore.ieee.org
At present, unmanned aerial vehicles (UAVs) are the primary platforms widely used for
environmental monitoring. The advantage of the UAV-type surveillance system is its low-cost …

Jellyfish recognition and density calculation based on image processing and deep learning

Y Liu, W Meng, H Zong - 2020 Chinese Control And Decision …, 2020 - ieeexplore.ieee.org
In order to monitor the invasion of marine organism in real time, the combination of image
processing and deep learning is used to realize species identification and density …

Optimal Path Planning for Unmanned Surface Vehicle Based on Fast Marching Method

Z Chen, T Bao, Z Zhou, Y Guo… - 2022 34th Chinese …, 2022 - ieeexplore.ieee.org
Path planning is one of the key technologies for unmanned surface vehicle (USV) to realize
intelligent navigation. However, most path planning algorithms only consider the shortest …

A vision-based detection algorithm for moving jellyfish in underwater environment

D Kim, H Kim, S Jung, J Koo, J Kim… - 2015 12th International …, 2015 - ieeexplore.ieee.org
This paper proposes a novel vision-based jellyfish detection algorithm in underwater
environment. Since jellyfish, especially Aurelia aurita, is translucent and amorphous when …