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STIA-DJANet: spatial–temporal intention-aware vessel trajectory prediction based on dual-joint attention network for e-navigation
J Jiang, Y Zuo - Expert Systems with Applications, 2025 - Elsevier
Harnessing high-precision vessel trajectory prediction holds great promise for enhancing
autonomous and safe navigation towards e-navigation. However, many technical …
autonomous and safe navigation towards e-navigation. However, many technical …
[HTML][HTML] Vessel Trajectory Prediction for Enhanced Maritime Navigation Safety: A Novel Hybrid Methodology
The accurate prediction of vessel trajectory is of crucial importance in order to improve
navigational efficiency, optimize routes, enhance the effectiveness of search and rescue …
navigational efficiency, optimize routes, enhance the effectiveness of search and rescue …
Trajectory reconstruction of buoys using Qingdao harbour data: Filling missing buoy trajectories using LSTM-Attention model
L Zhang, Q Du, J Liu, Z Li, X An, C Jiao - Ocean Engineering, 2024 - Elsevier
In maritime operations, instances occur where vessels flee after colliding with buoys.
Automatic Identification System (AIS) data collected from these buoys play a vital role in …
Automatic Identification System (AIS) data collected from these buoys play a vital role in …
Geohash coding-powered deep learning network for vessel trajectory prediction using clustered AIS data in maritime Internet of Things industries
Y Li, BY Chen, Q Liu, Y Zhang - Computers and Electrical Engineering, 2024 - Elsevier
The increasing traffic flow and frequent navigational activities in maritime transportation
raise accidents, such as collision and grounding. To mitigate such safety issues, high …
raise accidents, such as collision and grounding. To mitigate such safety issues, high …
Incorporating prior knowledge of collision risk into deep learning networks for ship trajectory prediction in the maritime Internet of Things industry
Y Zhang, P Tu, Z Zhao, XY Chen - Engineering Applications of Artificial …, 2025 - Elsevier
Artificial intelligence (AI) has played a key role in advancing autonomous navigation for
unmanned ships, where ship trajectory prediction is crucial for ensuring maritime safety. As …
unmanned ships, where ship trajectory prediction is crucial for ensuring maritime safety. As …
A novel collaborative collision avoidance decision-making methodology based on potential collision areas for intelligent navigation
Ship navigation safety is a crucial component of intelligent navigation, and collaborative
collision avoidance plays a vital role in ensuring safety and conflict resolution by enhancing …
collision avoidance plays a vital role in ensuring safety and conflict resolution by enhancing …
Navigating narrow waterways: A quantitative study on timing of stand-on ship actions for cooperative collision avoidance for MASS
HJ Lee, D Kim - Ocean Engineering, 2025 - Elsevier
Article 17 of the COLREGS is ambiguous as to when stand-on ships are required to take
action to avoid colliding. This study will address this ambiguity by quantification of factors in …
action to avoid colliding. This study will address this ambiguity by quantification of factors in …
Steering drilling wellbore trajectory prediction based on the NOA-LSTM-FCNN method
Y Gao, N Wang, F Li - Scientific Reports, 2025 - nature.com
Aiming at the problem that it is difficult to accurately predict wellbore trajectory under
complex geological conditions, the NOA-LSTM-FCNN prediction method for steering drilling …
complex geological conditions, the NOA-LSTM-FCNN prediction method for steering drilling …
부산 신항에서 유지 선박의 충돌회피협력동작 시점 제시를 위한 CDC 개선연구
이희진 - 해양환경안전학회지, 2024 - db.koreascholar.com
선박의 안전운항에서 충돌회피는 핵심적인 요소이며, 자율운항선박의 출현과 인공지능 기술의
발전에 따라 충돌회피 연구가 활발히 진행되고 있다. 그러나 충돌회피 기준 설정에는 객관적인 …
발전에 따라 충돌회피 연구가 활발히 진행되고 있다. 그러나 충돌회피 기준 설정에는 객관적인 …