Driver Identification Using Deep Generative Model With Limited Data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Driver Identification Using Deep Generative Model With Limited Data

Published:2023-05 Issue:5 Volume:24 Page:5159-5171
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hu Hongyu¹^ORCID,Liu Jiarui²^ORCID,Chen Guoying¹^ORCID,Zhao Yuting¹,Gao Zhenhai¹^ORCID,Zheng Rencheng³

Affiliation:

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

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

3. School of Mechanical Engineering, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jilin Province

Science and Technology Development Project of Jilin province

Foundation of State Key Laboratory of Automotive Simulation and Control

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10121021/10033421.pdf?arnumber=10033421

Reference52 articles.

1. Driver Identification Based on Wavelet Transform Using Driving Patterns

2. Who is Driving? Event-Driven Driver Identification and Impostor Detection Through Support Vector Machine

3. Real-time Driver Identification using Vehicular Big Data and Deep Learning

4. Automobile Driver Fingerprinting: A New Machine Learning Based Authentication Scheme

5. Fault Feature Recovery With Wasserstein Generative Adversarial Imputation Network With Gradient Penalty for Rotating Machine Health Monitoring Under Signal Loss Condition

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. Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning;IEEE Transactions on Industrial Informatics;2024

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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3