Small Unmanned Surface Vessels—A Review and Critical Analysis of Relations to Safety and Safety Assurance of Larger Autonomous Ships
Autonomous ships represent an emerging paradigm within the maritime sector, poised to
bring multiple advantages. Although numerous prototypes have been developed, the …
bring multiple advantages. Although numerous prototypes have been developed, the …
Angular rate-constrained path planning algorithm for unmanned surface vehicles
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 …
considering both angular rate (yaw rate) and heading angle of unmanned surface vehicles …
Image-based monitoring of jellyfish using deep learning architecture
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 …
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 …
planktons with extremely high fecundity. It even seriously endangers people's economic and …
Management of jellyfish outbreaks to achieve good environmental status
Jellyfish and gelatinous zooplankton (GZ) in general, fulfill important ecological roles with
significant impacts, although they are often oversimplified or misunderstood. This paper …
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
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 …
proliferation of jellyfish in marine habitats that has visibly damaged many ecosystems and …
Development of a UAV-type jellyfish monitoring system using deep learning
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 …
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 …
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 …
intelligent navigation. However, most path planning algorithms only consider the shortest …
A vision-based detection algorithm for moving jellyfish in underwater environment
This paper proposes a novel vision-based jellyfish detection algorithm in underwater
environment. Since jellyfish, especially Aurelia aurita, is translucent and amorphous when …
environment. Since jellyfish, especially Aurelia aurita, is translucent and amorphous when …