Results 31 to 40 of about 2,658,467 (271)
With the rapid growth of shipping volumes, ship navigation and path planning have attracted increased attention. To design navigation routes and avoid ship collisions, accurate ship trajectory prediction based on automatic identification system data is ...
Licheng Zhao +3 more
doaj +1 more source
real-time ship trajectory prediction model
Implementation code of Construction of a real-time ship trajectory prediction model based on ship automatic identification system data
feng yuhao (16316481)
core +1 more source
Prediction of ship trajectory based on deep learning
Abstract The rapid development of computer technology strongly promotes the study of maritime traffic safety. The application of artificial intelligence technology makes the ship’s trajectory prediction not limited to complex physical models, and improves the generality of ship’s track prediction.
T Li, Y B Li
openaire +1 more source
Ship Trajectory Prediction Based on the TTCN-Attention-GRU Model
As shipping continues to play an increasingly important role in world trade, there are consequently a large number of ships at sea at any given time, posing a risk to maritime traffic safety.
Jie Huang, Zu Lin, Jian Wan, Weiqi Yue
core +1 more source
Shipborne stabilized platform is an important equipment to ensure the stability of shipborne equipment relative to inertial coordinate system. This paper presents a model predictive control strategy based on ship motion prediction (MPMPC) for ship ...
Hongbin Qiang +4 more
doaj +1 more source
Ship Anomalous Behavior Detection Using Clustering and Deep Recurrent Neural Network
In this study, we propose a real-time ship anomaly detection method driven by Automatic Identification System (AIS) data. The method uses ship trajectory clustering classes as a normal model and a deep learning algorithm as an anomaly detection tool. The
Bohan Zhang +4 more
doaj +1 more source
Determination and Visualization of Uncertainties in 4D-Trajectory Prediction [PDF]
Future air traffic management relies on trajectory forecasting for higher safety, efficiency and environmental friendliness. The quality of trajectory predictions is subject to errors from a variety of sources.
Weitz, P. +3 more
core +1 more source
Short-Term Trajectory Prediction of Maritime Vessel Using k-Nearest Neighbor Points
The prediction of ship location has become an increasingly popular research hotspot in the field of maritime transportation engineering, which benefits maritime safety supervision and security. Existing methods of ship location prediction based on motion
Minglong Zhang +5 more
doaj +1 more source
Machine Learning for Enhanced Maritime Situation Awareness: Leveraging Historical AIS Data for Ship Trajectory Prediction [PDF]
In this thesis, methods to support high level situation awareness in ship navigators through appropriate automation are investigated. Situation awareness relates to the perception of the environment (level 1), comprehension of the situation (level 2 ...
Murray, Brian
core +1 more source
Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis [PDF]
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted increasing interest as it helps prevent collision accidents and eliminate potential navigational conflicts.
Huanhuan Li +5 more
core +2 more sources

