A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction

A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction

Vessel trajectory prediction plays a pivotal role in numerous maritime applications and services. While the Automatic Identification System (AIS) offers a rich source of information to address this task, forecasting vessel trajectory using AIS data remains challenging, even for modern machine learni...

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Bibliographic Details
Main Authors: Duong Nguyen, Ronan Fablet
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
AIS
vessel trajectory
trajectory prediction
maritime surveillance
multimodal data
deep learning
Online Access:https://ieeexplore.ieee.org/document/10380549/

Internet

https://ieeexplore.ieee.org/document/10380549/

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