Autonomous Rear Parking via Rapidly Exploring Random-Tree-Based Reinforcement Learning

This study addresses the problem of autonomous rear parking (ARP) for car-like nonholonomic vehicles. ARP includes path planning to generate an efficient collision-free path from the start point to the target parking slot and path following to produce control inputs to stably follow the generated pa...

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Detalles Bibliográficos
Autores principales: Shahi, Saugat, Lee, Heoncheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460702/
https://www.ncbi.nlm.nih.gov/pubmed/36081115
http://dx.doi.org/10.3390/s22176655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460702/
https://www.ncbi.nlm.nih.gov/pubmed/36081115
http://dx.doi.org/10.3390/s22176655

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