Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks

7 January 2021

Papers citing "Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks"

5 / 5 papers shown

Title
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 40 1 0 25 Sep 2024
Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models Kathrin Donandt Karim Böttger Dirk Söffker 24 8 0 04 Jun 2024
MSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction Huimin Qiang Zhiyuan Guo Shiyuan Xie Xiaodong Peng 19 1 0 21 Mar 2023
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 29 12 0 22 Jul 2022
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction Duong Nguyen Ronan Fablet 21 24 0 08 Sep 2021