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Driver identification through vehicular CAN bus data: An ensemble deep learning approach

  • Published:2022-11-05 Issue: Volume: Page:
  • ISSN:1751-956X
  • Container-title:IET Intelligent Transport Systems
  • language:en
  • Short-container-title:IET Intelligent Trans Sys

Author:

Hu Hongyu1ORCID,Liu Jiarui2,Chen Guoying1,Zhao Yuting1,Men Yuzhuo3,Wang Pin4

Affiliation:

1. State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin China

2. School of Control and Computer Engineering North China Electric Power University Beijing China

3. School of Automotive Engineering Changchun Institute of Technology Changchun Jilin China

4. California PATH University of California at Berkeley Berkeley California USA

Funder

Natural Science Foundation of Jilin Province

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ten deep learning techniques to address small data problems with remote sensing;International Journal of Applied Earth Observation and Geoinformation;2023-12

2. Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects;IEEE Transactions on Instrumentation and Measurement;2023
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