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A Ship Trajectory Prediction Method Based on GAT and LSTM
Ocean Engineering, 2023Xinqiang Chen, Bing Wu, Jiansen Zhao
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Trajectory Prediction Network for Future Anticipation of Ships
Proceedings of the 2020 International Conference on Multimedia Retrieval, 2020This work investigates the anticipation of future ship locations based on multimodal sensors. Predicting future trajectories of ships is an important component for the development of safe autonomous sailing ships on water. A core challenge towards future trajectory prediction is making sense of multiple modalities from vastly different sensors ...
Dijt, P., Mettes, P.
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Outlier Detection for Ship Trajectory Prediction.
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, 2019The ACM International Conference on Distributed and Eventbased Systems (ACM DEBS) Grand Challenge is aiming to build faster and more accurate distributed and event based systems. In 2018, the goal of the Grand Challenge was to make predictions for vessels' destinations and arrival times. In our previous work [3], as a participant of the Grand Challenge,
Hyungkun Jung, Kang-Woo Lee, Eun-Sun Cho
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Supported Decision-Making by Explainable Predictions of Ship Trajectories
2020Machine Learning and Deep Learning models make accurate predictions based on a specifically trained task. For instance, models that classify ship vessel types based on their trajectory and other features. This can support human experts while they try to obtain information on the ships, e.g., to control illegal fishing. Besides the support in predicting
Nadia Burkart +2 more
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Ship Motion Trajectory and Prediction Based on Vector Analysis
Journal of Coastal Research, 2020Luo, W. and Zhang, G., 2020. Ship motion trajectory and prediction based on vector analysis. In: Malvarez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1183-1188. Coconut Creek (Florida), ISSN 0749-0208.For the traditional method, there is a problem that the prediction accuracy of the ...
Weidong Luo, Guojun Zhang
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Ship Trajectory Prediction based on LSTM Neural Network
2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), 2020This paper is based on a large number of AIS data. Firstly, data preprocessing is carried out to ensure the integrity and accuracy of the data. Then, based on the route data, the prediction algorithm such as LSTM(Long Short-Term Memory) recurrent neural network is used to model to realize the prediction of the ship's navigation trajectory.
Zhiyuan Zhang, Guoxin Ni, Yanguo Xu
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Some concepts for trajectory prediction for ship self defense
Proceedings of 1995 American Control Conference - ACC'95, 2005Threat trajectories are predicted for a one-on-one engagement against an anti-ship cruise missile in a ship self-defense scenario. The prediction trajectories belong to one of two classes: state based, and goal based. In the state based, the prediction is based entirely on the estimated threat state, while in the goal based it is assumed that the ...
G.W. Groves, W.D. Blair, S. Hoffman
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A Novel CNN-LSTM Method for Ship Trajectory Prediction
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2021Bingqing Lu, Rongheng Lin, Hua Zou 0001
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Ocean Engineering
With the rapid development of artificial intelligence, deep learning-based ship trajectory prediction has become essential for maritime safety warning, collision avoidance, and autonomous navigation. However, in ports and inland waterways, dense multi-ship interactions increase the uncertainty and diversity of ship motion, making trajectory prediction ...
Shuaikun Zhang +4 more
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With the rapid development of artificial intelligence, deep learning-based ship trajectory prediction has become essential for maritime safety warning, collision avoidance, and autonomous navigation. However, in ports and inland waterways, dense multi-ship interactions increase the uncertainty and diversity of ship motion, making trajectory prediction ...
Shuaikun Zhang +4 more
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Ship Trajectory Prediction with Social History LSTM
2023 3rd International Conference on Computer, Control and Robotics (ICCCR), 2023Wenfeng Zhao, Xudong Zhang
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