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Deep learning‐based hybrid model for the behaviour prediction of surrounding vehicles over long‐time periods

Abstract Autonomous vehicles need to have the ability to predict the future behaviour of surrounding vehicles, which helps with proper trajectory planning and tracking. Many behaviour prediction methods have limited application because they have a very limited prediction horizon. This paper proposes...

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Autors principals: Xiang Gao, Long Chen, Kangsheng Tai, Yingfeng Cai, Hai Wang, Yicheng Li
Format: Artigo
Idioma:Inglês
Publicat: Wiley 2022-10-01
Col·lecció:IET Intelligent Transport Systems
Accés en línia:https://doi.org/10.1049/itr2.12214
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