In the ever-changing and often harsh maritime environment, reliable navigation is paramount for safe and efficient shipping operations. However, satellite navigation signals can be easily disrupted, leading to inaccuracies that could compromise safet
Shanghai Maritime University’s Breakthrough Boosts Ship Navigation Accuracy by 83.20% Read More »
In a significant stride towards enhancing the efficiency of autonomous sailboats, researchers have unveiled a novel sail design that promises to revolutionize uncrewed ocean navigation. The study, led by Tianci Ding from the School of Physics Science
Liaocheng University’s Hybrid Sail Design Boosts Autonomous Sailboat Efficiency Read More »
In the ever-evolving world of maritime surveillance, a groundbreaking study led by Mingxu Zhang from the College of Electronic Science and Technology at the National University of Defense Technology in Changsha, China, is making waves. The research,
Chinese Researchers Pioneer LEO-NA Signals for Advanced Maritime Surveillance Read More »
In a significant stride for unmanned surface vessel (USV) technology, researchers have developed a novel verification method for formation control of USV clusters, leveraging virtual-real integration. This approach, detailed in a recent paper publish
Dalian Maritime University’s USV Cluster Control Breakthrough Enhances Maritime Autonomy Read More »
In the bustling world of maritime navigation, predicting a vessel’s speed accurately isn’t just about efficiency—it’s about safety. That’s where the work of Xin Liu, a researcher from the School of Artificial Intelligence and Software at Liaoning Pet
Liaoning Petrochemical University’s AI Model Redefines Vessel Speed Prediction Read More »
In the chilly, shadowed waters of Bougainville Bay, nestled within the Strait of Magellan, a team of researchers led by Leslie Novoa from the University of Magallanes has uncovered a hidden trove of molluscan diversity. The findings, recently publish
University of Magallanes Unveils Bougainville Bay’s Molluscan Marvels Read More »
In the bustling world of maritime navigation, where every second counts and safety is paramount, a groundbreaking study led by Fusun Er from the Department of Computer Engineering at Piri Reis University in Istanbul, Turkey, is making waves. Publishe
Piri Reis University’s Deep Learning Model Redefines Maritime Navigation Safety Read More »
In a significant stride towards enhancing Arctic maritime safety, researchers have turned to machine learning to better assess navigation risks for low ice-class vessels. The study, led by Yuanyuan Zhang from the School of Geographical Sciences at Li
Machine Learning Charts Safer Course for Arctic Shipping Read More »
In the ever-evolving world of maritime navigation and safety, predicting vessel trajectories has become a critical piece of the puzzle. A recent study published in the ‘Journal of Marine Science and Engineering’ (which translates to ‘Journal of Ocean
Cyprus Study Charts Course for Safer Seas with Deep Learning Trajectory Prediction Read More »
In the vast expanse of the open sea, keeping tabs on every vessel is no easy feat. Small boats, in particular, can be a challenge to detect due to their low radar reflection intensity. This is where the work of Yongfeng Suo, a researcher from the Nav
Jimei University’s AI Breakthrough Slashes Small Vessel Detection Misses by 73.4% Read More »
