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Journal Article

ERRATUM

SAE International Journal of Connected and Automated Vehicles

12-04-03-0021.1

02/03/2022

Authors
Nianfei Gan Hunan University, China
Zhiwei Jiang Hunan University, China
Bing Zhou Hunan University, China
Tian Chai Hunan University, China
Zhicheng He Hunan University, China
Abstract
Content
This work was supported jointly by the National Science Foundation of China under Grant No. 51875184 and the National key R&D programs, China New energy vehicles focus on special projects under Grant No. 2016YFB0100903-2.
Meta Tags
Topics
Collision intervention systems
Research and development
Autonomous vehicles
Driver assistance systems
Driver behavior
Neural networks
Machine learning
Roads and highways
Data exchange
Affiliated or Co-Author
Hunan University, China
Details
DOI
https://doi.org/10.4271/12-04-03-0021.1
Pages
2
Citation
Gan, N., Jiang, Z., Zhou, B., Chai, T. et al., "ERRATUM," SAE Intl. J CAV 5(1):115, 2022, https://doi.org/10.4271/12-04-03-0021.1.
Additional Details
Publisher
SAE International
Published
Feb 3, 2022
Product Code
12-04-03-0021.1
Content Type
Journal Article
Language
English

Journal

SAE International Journal of Connected and Automated Vehicles
SAE International Journal of Connected and Automated Vehicles Image
Volume 5, Issue 1