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Hierarchical Trajectory Planning for Narrow-Space Automated Parking with Deep Reinforcement Learning: A Federated Learning Scheme

Collision-free trajectory planning in narrow spaces has become one of the most challenging tasks in automated parking scenarios. Previous optimization-based approaches can generate accurate parking trajectories, but these methods cannot compute feasible solutions with extremely complex constraints i...

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Detalles Bibliográficos
Autores principales:	Yuan, Zheng, Wang, Zhe, Li, Xinhang, Li, Lei, Zhang, Lin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143055/ https://www.ncbi.nlm.nih.gov/pubmed/37112428 http://dx.doi.org/10.3390/s23084087

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