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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| 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 |