Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator

Intersections are considered one of the most complex scenarios in a self-driving framework due to the uncertainty in the behaviors of surrounding vehicles and the different types of scenarios that can be found. To deal with this problem, we provide a Deep Reinforcement Learning approach for intersec...

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Detalles Bibliográficos
Autores principales: Gutiérrez-Moreno, Rodrigo, Barea, Rafael, López-Guillén, Elena, Araluce, Javier, Bergasa, Luis M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657075/
https://www.ncbi.nlm.nih.gov/pubmed/36366072
http://dx.doi.org/10.3390/s22218373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657075/
https://www.ncbi.nlm.nih.gov/pubmed/36366072
http://dx.doi.org/10.3390/s22218373

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