A Comfort Quantification Method based on Semi-supervised Learning for Automated Vehicle at Lane Change Scenarios-Reference-Cited by-同舟云学术

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A Comfort Quantification Method based on Semi-supervised Learning for Automated Vehicle at Lane Change Scenarios

Published:2022 Issue: Volume: Page:1-9
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Zhu Wangwang¹^ORCID,Zhang Xi¹^ORCID,Hu Chuan¹^ORCID,Zhao Baixuan¹^ORCID,Peng Shiwei¹,Yang Haocheng²

Affiliation:

1. School of Mechanical Engineering and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China

2. academic pillar Information Systems Technology and Design (ISTD), Singapore University of Technology and Design, Singapore, Singapore

Funder

Key Special Projects for International Cooperation in Science and Technology Innovation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/09978724.pdf?arnumber=9978724

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