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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Autors principals:	Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-12-01
Col·lecció:	World Electric Vehicle Journal
Matèries:	trajectory prediction ordinary differential equation attention mechanism autonomous driving computational efficiency
Accés en línia:	https://www.mdpi.com/2032-6653/16/1/19
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