Human-like Decision Making for Autonomous Vehicles at the Intersection Using Inverse Reinforcement Learning

With the rapid development of autonomous driving technology, both self-driven and human-driven vehicles will share roads in the future and complex information exchange among vehicles will be required. Therefore, autonomous vehicles need to behave as similar to human drivers as possible, to ensure th...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Zheng, Qu, Fangbing, Yang, Lin, Gong, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227206/
https://www.ncbi.nlm.nih.gov/pubmed/35746281
http://dx.doi.org/10.3390/s22124500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227206/
https://www.ncbi.nlm.nih.gov/pubmed/35746281
http://dx.doi.org/10.3390/s22124500

Ejemplares similares