BiTraP-DGF: A Dual-Branch Gated-Fusion and Sparse-Attention Model for Pedestrian Trajectory Prediction in Autonomous Driving Scenes

In complex urban traffic scenes, reliable pedestrian trajectory prediction is essential for Automated and Connected Electric Vehicles (ACEVs) and active safety systems. Despite recent progress, many existing approaches still suffer from limited long-term prediction accuracy, redundant temporal featu...

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Principais autores:	Yutong Zhu, Gang Li, Zhihua Zhang, Hao Qiao, Wanbo Cui
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-02-01
Serija:	World Electric Vehicle Journal
Teme:	intelligent electric vehicles pedestrian trajectory prediction sparse attention mechanism autonomous driving deep learning
Online dostop:	https://www.mdpi.com/2032-6653/17/2/94
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