CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data-Reference-Cited by-同舟云学术

CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data

Author:

Cai Yingfeng¹^ORCID,Zhao Ruidong¹^ORCID,Wang Hai²^ORCID,Chen Long¹^ORCID,Lian Yubo³,Zhong Yilin³

Affiliation:

1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China

2. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China

3. BYD Auto Industry Company Ltd., Shenzhen, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Six Talent Peaks Project of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference32 articles.

1. Estimating risk levels of driving scenarios through analysis of driving styles for autonomous vehicles;xu;arXiv 1904 10176,2019

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