Abstract
Gang Chen, Jianbo Zheng, Xinhao Zhao, Zihao Wang, Baoan Li, Jinye Zhao, 吳政叡
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Vessel trajectory prediction using historical automatic identification system data
10.1017/s0373463320000442 · 2021
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Deep learning methods for vessel trajectory prediction based on recurrent neural networks
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Posture stability control of a beaver-like bipedal robot based on the deep interactive twin delayed deep deterministic policy gradient algorithm
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AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
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Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
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A transformer network with sparse augmented data representation and cross entropy loss for ais-based vessel trajectory prediction
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Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
10.1016/j.trc.2023.104063 · doi-reference
Short-term trajectory prediction of maritime vessel using k-nearest neighbor points
10.3390/jmse10121939 · doi-reference
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10.1016/j.trc.2020.102729 · doi-reference
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DeepAR: Probabilistic forecasting with autoregressive recurrent networks
10.1016/j.ijforecast.2019.07.001 · doi-reference
Design and performance analysis of a bionic squid underwater thruster
10.1007/s42235-025-00686-9 · doi-reference
A transformer network with sparse augmented data representation and cross entropy loss for ais-based vessel trajectory prediction
10.1109/access.2024.3349957 · doi-reference
10.1109/cvpr42600.2020.00717
10.1109/cvpr42600.2020.00717 · doi-reference
A framework of marine collision risk identification strategy using AIS data
10.1017/s0373463323000231 · doi-reference
Segrnn: segment recurrent neural network for long-term time-series forecasting
10.1109/jiot.2025.3647705 · doi-reference
Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
10.1016/j.engappai.2023.107062 · doi-reference
AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
10.1016/j.tre.2023.103152 · doi-reference
An AIS data-driven approach to analyze the pattern of ship trajectories in ports using the DBSCAN algorithm
10.3390/app11020799 · doi-reference
Critical remarks on the linearised and extended Kalman filters with geodetic navigation examples
10.1016/j.measurement.2010.05.008 · doi-reference
Ship collision avoidance and COLREGS compliance using simulation-based control behavior selection with predictive hazard assessment
10.1109/tits.2016.2551780 · doi-reference
TripleConvTransformer: A deep learning vessel trajectory prediction method fusing discretized meteorological data
10.3389/fenvs.2022.1012547 · doi-reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · doi-reference
Real-time predictive control of path following to stabilize autonomous electric vehicles under extreme drive conditions
10.1007/s42154-022-00202-3 · doi-reference
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
10.1016/j.neunet.2005.06.042 · doi-reference
A statistical study of ship domains
10.1017/s0373463300041230 · doi-reference
ObserveNet control: A vision-dynamics learning approach to predictive control in autonomous vehicles
10.1109/lra.2021.3096157 · doi-reference
Traffic capacity
10.1017/s0373463300022384 · doi-reference
Posture stability control of a beaver-like bipedal robot based on the deep interactive twin delayed deep deterministic policy gradient algorithm
10.1016/j.engappai.2025.112781 · doi-reference
Deep learning methods for vessel trajectory prediction based on recurrent neural networks
10.1109/taes.2021.3096873 · doi-reference
Recurrent memory transformer
10.52202/068431-0805 · doi-reference
Vessel trajectory prediction using historical automatic identification system data
10.1017/s0373463320000442 · doi-reference