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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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2026-02-01
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| Col·lecció: | World Electric Vehicle Journal |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2032-6653/17/2/94 |
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