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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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A trajectory prediction method based on graph attention mechanism
Hejun Zhou
Hejun Zhou
Department of Electromechanical and Information Engineering, Changde Vocational Technical College
Changde, China
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Zhou, Hejun
,
Ting Zhao
Ting Zhao
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
Chongqing, China
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Zhao, Ting
,
Yang Fang
Yang Fang
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications
Chongqing, China
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Fang, Yang
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Qilie liu
Qilie liu
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
Chongqing, China
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liu, Qilie
30 giu 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Pubblicato online:
30 giu 2023
Ricevuto:
15 set 2022
Accettato:
09 gen 2023
DOI:
https://doi.org/10.2478/amns.2023.1.00481
Parole chiave
<kwd>Trajectory prediction</kwd>
,
<kwd>Graph attention mechanism</kwd>
,
<kwd>Temporal Transformer model</kwd>
,
<kwd>Convolutional neural network</kwd>
,
<kwd>Feature vector</kwd>
© 2023 Hejun Zhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
