Discrete kalman filter and linear regression comparison for vessel coordinate prediction
CN Burger, TL Grobler… - 2020 21st IEEE …, 2020 - ieeexplore.ieee.org
Automatic Identification System (AIS) is one of the most prominent systems for monitoring
vessel activity. Although significant advances in AIS coverage have been achieved in recent …
vessel activity. Although significant advances in AIS coverage have been achieved in recent …
Predicting the trajectories of vessels using machine learning
X Liu, W He, J Xie, X Chu - 2020 5th International conference …, 2020 - ieeexplore.ieee.org
Trajectory predicting plays an important role in port and shipping management. The
Automatic Identification System (AIS) is conducive to ship navigation safety for it enables the …
Automatic Identification System (AIS) is conducive to ship navigation safety for it enables the …
Research on Ship Trajectory Prediction Using LSTM and BP Based on AIS Data
J Yu, J Wang, R Ren, H Lu, Q Lai… - 2022 5th International …, 2022 - ieeexplore.ieee.org
The rapid development of water transportation has brought certain challenges to the
management of ships. In order to assist the management of the Maritime Safety …
management of ships. In order to assist the management of the Maritime Safety …
Trajectory prediction for maritime vessels using ais data
The need for a variety of auxiliary analytical tools to enhance marine safety and marine
status awareness has been expressed by various platforms. The information that has been …
status awareness has been expressed by various platforms. The information that has been …
Long-term vessel motion predication by modeling trajectory patterns with AIS data
W Li, C Zhang, J Ma, C Jia - 2019 5th International Conference …, 2019 - ieeexplore.ieee.org
It is of critical importance for vessels to detect potentially hazardous situations as early as
possible. Therefore, recognition and prediction of vessel motions require effective …
possible. Therefore, recognition and prediction of vessel motions require effective …
Extended linear regression model for vessel trajectory prediction with a-priori AIS information
As maritime activities increase globally, there is a greater dependency on technology in
monitoring, control, and surveillance of vessel activity. One of the most prominent systems …
monitoring, control, and surveillance of vessel activity. One of the most prominent systems …
[PDF][PDF] Data-driven trajectory prediction and spatial variability of prediction performance in maritime location based services
Location-based services in the maritime domain aim to improve efficiency and safety of
vessel operations. Predictive functionality can increase the value of these services beyond …
vessel operations. Predictive functionality can increase the value of these services beyond …
A data-driven approach to vessel trajectory prediction for safe autonomous ship operations
Autonomous vehicles will be an integral part of future transportation systems, and the
maritime industry is working towards developing methods to ensure safe autonomous ship …
maritime industry is working towards developing methods to ensure safe autonomous ship …
Vessel Navigation Behavior Analysis and Multiple‐Trajectory Prediction Model Based on AIS Data
H Ma, Y Zuo, T Li - Journal of advanced transportation, 2022 - Wiley Online Library
With the increasing application and utility of automatic identification systems (AISs), large
volumes of AIS data are collected to record vessel navigation. In recent years, the prediction …
volumes of AIS data are collected to record vessel navigation. In recent years, the prediction …
A novel approach on vessel trajectory prediction based on variational LSTM
M Ding, W Su, Y Liu, J Zhang, J Li… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the increasing complexity of maritime traffic, vessel trajectory prediction becomes a vital
part of the maritime security. Although many methods working on this problem have been …
part of the maritime security. Although many methods working on this problem have been …