Cargando…
Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network
Accurately predicting driving behavior can help to avoid potential improper maneuvers of human drivers, thus guaranteeing safe driving for intelligent vehicles. In this paper, we propose a novel deep belief network (DBN), called MSR-DBN, by integrating a multi-target sigmoid regression (MSR) layer w...
Autores principales: | Yang, Lei, Zhao, Chunqing, Lu, Chao, Wei, Lianzhen, Gong, Jianwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706022/ https://www.ncbi.nlm.nih.gov/pubmed/34960592 http://dx.doi.org/10.3390/s21248498 |
Ejemplares similares
-
Deep-Neural-Network-Based Modelling of Longitudinal-Lateral Dynamics to Predict the Vehicle States for Autonomous Driving
por: Nie, Xiaobo, et al.
Publicado: (2022) -
Deep Belief Networks Learn Context Dependent Behavior
por: Raudies, Florian, et al.
Publicado: (2014) -
A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data
por: Fu, Xin, et al.
Publicado: (2022) -
Quality Prediction of Fused Deposition Molding Parts Based on Improved Deep Belief Network
por: Dong, Hai, et al.
Publicado: (2021) -
Statistics and Deep Belief Network-Based Cardiovascular Risk Prediction
por: Kim, Jaekwon, et al.
Publicado: (2017)