Advancing ship trajectory prediction: Integrating deep learning with enhanced reference trajectory correction techniques-Reference-Cited by-同舟云学术

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Advancing ship trajectory prediction: Integrating deep learning with enhanced reference trajectory correction techniques

Published:2024-11 Issue: Volume:311 Page:118880
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Li Xueyin^ORCID,Liu Chunshan^ORCID,Li Jianghui^ORCID,Zhao Lou^ORCID,Du Zhongping

Publisher

Elsevier BV

Reference35 articles.

1. Maritime traffic as a complex network: A systematic review;Álvarez;Netw. Spat. Econ.,2021

2. A new model and efficient tracker for a target with curvilinear motion;Best;IEEE Trans. Aerosp. Electron. Syst.,1997

3. Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework;Chen;Ocean Coast. Manag.,2024

4. Ship energy consumption analysis and carbon emission exploitation via spatial-temporal maritime data;Chen;Appl. Energy,2024

5. AIS data of Denmark;DMA,2024

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