In this research, a canonical correlation analysis (CCA)-based framework is proposed. The value of canonical correlation is used for feature selection. Gaussian ...
In this paper, we proposed a canonical correlation analysis. (CCA)Ybased frameworN, which selects features by analyzing the correlation between the host vehicle ...
PDF | On Aug 3, 2020, Zirui Li and others published Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis | Find, ...
Sep 10, 2024 · In this research, a canonical correlation analysis (CCA)-based framework is proposed. The value of canonical correlation is used for feature selection.
Two experiments using simulated and naturalistic driving data are designed for verification. Experimental results are consistent with the driver' s judgment.
2022. Driver behavior modelling at the urban intersection via canonical correlation analysis. Z Li, C Lu, C Gong, J Gong, J Li, L Wei. 2020 3rd International ...
Accurately modelling the driver behavior at the intersection is essential for intelligent transportation systems (ITS). feature selection · regression · Paper
Personalized driver braking behavior modeling in the car ... Driver behavior modelling at the urban intersection via canonical correlation analysis.
Accurately modelling the driver behavior at the intersection is essential for intelligent transportation systems (ITS). feature selection · regression.
People also ask
What is the canonical correlation analysis?
What is driver Behaviour analysis?
2022. Driver behavior modelling at the urban intersection via canonical correlation analysis. Z Li, C Lu, C Gong, J Gong, J Li, L Wei. 2020 3rd International ...