Integrating spatial-temporal risk maps with candidate trajectory trees for explainable autonomous driving planning

With increasing public concern about autonomous vehicles, there is a growing demand for developing explainable autonomous driving planning technology. Traditional risk field methods use handcrafted potential field models to explain driving risks in a scenario. When explaining highly interactive scen...

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Autors principals:	Qiyuan Liu, Jiawei Zhang, Jingwei Ge, Cheng Chang, Zhiheng Li, Shen Li, Li Li
Format:	Artigo
Idioma:	Inglês
Publicat:	Tsinghua University Press 2025-12-01
Col·lecció:	Communications in Transportation Research
Matèries:	Risk map Trajectory planning Explainable autonomous driving
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2772424725000010
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