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Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model

Due to advances in sensor techniques and deep learning, autonomous vehicular technologies have become more reliable and practical. Trajectory prediction is a critical task to anticipate the future positions of surrounding vehicles. However, existing algorithms, such as LSTM-based and attention-based...

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Bibliografiske detaljer
Principais autores: Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-12-01
Serier:World Electric Vehicle Journal
Fag:
Online adgang:https://www.mdpi.com/2032-6653/16/1/19
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