Automatic Calibration of the Driver's Gaze Area Based on a Semi-Supervised Learning Algorithm-Reference-Cited by-同舟云学术

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Automatic Calibration of the Driver's Gaze Area Based on a Semi-Supervised Learning Algorithm

Published:2023-10-27 Issue: Volume:26 Page:1-6
ISSN:
Container-title:2023 International Conference on Engineering and Emerging Technologies (ICEET)
language:
Short-container-title:

Author:

Cheng Ming¹^ORCID,Yan Yunbing¹,Zhu Qiuchen²^ORCID,Lei Hongjun³

Affiliation:

1. School of automotive and Transportation Engineering, Wuhan University of science and technology,Wuhan,Hubei,China

2. School of Electrical and Data Engineering, University of Technology Sydney,Broadway,Australia,NSW

3. School of Optoelectronic Materials and Technology, Jianghan University,Wuhan,Hubei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525679/10525701/10526049.pdf?arnumber=10526049

Reference19 articles.

1. Analysis of Key Factors and Foreign Experience in Road Traffic Safety Governance;Wen;Road Traffic Management,2022

2. A review of driver line-of-sight estimation methods;Zhang;Highway Traffic Science and Technology,2009

3. A review of feature-based sight tracking methods;Liu;Acta Automatica Sinica,2021

4. Eye and gaze tracking for interactive graphic display

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