Cargando…
A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles
As the main component of an autonomous driving system, the motion planner plays an essential role for safe and efficient driving. However, traditional motion planners cannot make full use of the on-board sensing information and lack the ability to efficiently adapt to different driving scenes and be...
Autores principales: | Lu, Chao, Gong, Jianwei, Lv, Chen, Chen, Xin, Cao, Dongpu, Chen, Yimin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749184/ https://www.ncbi.nlm.nih.gov/pubmed/31450826 http://dx.doi.org/10.3390/s19173672 |
Ejemplares similares
-
Neural Network Based Uncertainty Prediction for Autonomous Vehicle Application
por: Zhang, Feihu, et al.
Publicado: (2019) -
Human-like Decision Making for Autonomous Vehicles at the Intersection Using Inverse Reinforcement Learning
por: Wu, Zheng, et al.
Publicado: (2022) -
Cyber-physical vehicle systems: methodology and applications
por: Lv, Chen, et al.
Publicado: (2020) -
Social behavior for autonomous vehicles
por: Schwarting, Wilko, et al.
Publicado: (2019) -
Pattern Recognition and Characterization of Upper Limb Neuromuscular Dynamics during Driver-Vehicle Interactions
por: Xing, Yang, et al.
Publicado: (2020)