In the ever-evolving world of maritime navigation, a recent study published in the journal *Applied Ocean Research* (translated from Korean as “Applied Ocean Research”) is making waves. Led by Chaewon Kim from the Robotic Intelligence & Perception La
Keimyung University’s AIS Data Breakthrough Enhances Maritime Navigation Safety Read More »
In the ever-evolving landscape of maritime safety, a novel approach to assessing regional collision risk has emerged, promising to revolutionize how we monitor and manage ship traffic. Zihao Liu, a researcher from the Navigation College at Dalian Mar
Dalian Maritime University’s Framework Revolutionizes Maritime Collision Risk Assessment Read More »
In a significant stride towards understanding ship behaviors and enhancing maritime safety, researchers have developed a novel method to categorize ship driving styles in head-on situations. The study, led by Moxuan Wei from the Navigation College at
Dalian Researchers Decode Ship Driving Styles for Safer Maritime Navigation Read More »
In a world where we’ve come to rely heavily on satellite navigation, a growing threat is casting a shadow over the maritime industry. Global Navigation Satellite Systems (GNSS), the backbone of modern positioning and navigation, are under siege from
Maritime Industry Faces GNSS Threat: Renaudin’s Research Reveals Alarming Trends Read More »
In a significant stride towards safer autonomous shipping, researchers have developed a novel path planning method that could revolutionize collision avoidance systems for autonomous vessels. The study, led by Agnieszka Lazarowska from the Department
Gdynia Maritime University’s Novel Path Planning Boosts Autonomous Ship Safety Read More »
In the crowded waters off New York, keeping tabs on vessels is no easy feat. Automatic Identification System (AIS) data, while invaluable, is often plagued with noise, gaps, and overlapping tracks. Enter Sanghyun Lee from HD Hyundai Heavy Industries
Hyundai’s AI Breakthrough Revolutionizes Vessel Tracking in Crowded Waters Read More »
Researchers from the Max Planck Institute for Intelligent Systems and the University of Amsterdam have developed ARK, an open-source, Python-based framework designed to bridge the gap between robotics and machine learning. The team, led by Jan Peters
ARK Framework Unites Robotics and AI for Seamless Autonomy Read More »
Researchers Antonella Barisic Kulas, Frano Petric, and Stjepan Bogdan have developed a novel approach to maritime vessel detection and identification using unmanned aerial vehicles (UAVs). Their work, presented at the MBZIRC2023 competition, addresse
UAVs Revolutionize Maritime Surveillance in GNSS-Denied Zones Read More »
Researchers at the University of Melbourne, including Md Mahbub Alam, Jose F. Rodrigues-Jr, and Gabriel Spadon, have developed a groundbreaking framework for enhancing maritime safety through advanced trajectory prediction and collision risk assessme
Melbourne Team Pioneers Multi-Vessel Trajectory Prediction for Safer Seas Read More »
Researchers from the Korea Advanced Institute of Science and Technology (KAIST) have developed a novel algorithm to enhance the capabilities of X-band radar in autonomous maritime navigation. The team, led by Hyesu Jang, Wooseong Yang, Ayoung Kim, Do
KAIST’s Radar Breakthrough Enhances Autonomous Maritime Navigation Read More »
