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

Internet

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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