Deep Learning Approach for Driver Speed Intention Recognition Based on Naturalistic Driving Data-Reference-Cited by-同舟云学术

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Deep Learning Approach for Driver Speed Intention Recognition Based on Naturalistic Driving Data

Published:2024 Issue: Volume: Page:1-14
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cheng Kun¹^ORCID,Sun Dongye¹^ORCID,Jian Junhang²,Qin Datong¹^ORCID,Chen Chong³,Liao Guangliang¹,Kan Yingzhe⁴,Lv Chang⁵

Affiliation:

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

2. Army Logistics Academy, Chongqing, China

3. Chang’an Automobile Power Research Institute, Chang’an Group Company Ltd, Chongqing, China

4. College of Mechanical Engineering, Chongqing University of Technology, Chongqing, China

5. Xuzhou XCMG Transmission Technology Company Ltd, Xuzhou, China

Funder

Jiangsu Province Innovation and Entrepreneurship Team Project

Central Universities Operating Funds

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10534900.pdf?arnumber=10534900

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