Research into Autonomous Vehicles Following and Obstacle Avoidance Based on Deep Reinforcement Learning Method under Map Constraints

Compared with traditional rule-based algorithms, deep reinforcement learning methods in autonomous driving are able to reduce the response time of vehicles to the driving environment and fully exploit the advantages of autopilot. Nowadays, autonomous vehicles mainly drive on urban roads and are cons...

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Detalles Bibliográficos
Autores principales: Li, Zheng, Yuan, Shihua, Yin, Xufeng, Li, Xueyuan, Tang, Shouxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861567/
https://www.ncbi.nlm.nih.gov/pubmed/36679640
http://dx.doi.org/10.3390/s23020844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861567/
https://www.ncbi.nlm.nih.gov/pubmed/36679640
http://dx.doi.org/10.3390/s23020844

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