A Driver Fatigue Detection Algorithm Based on Dynamic Tracking of Small Facial Targets Using YOLOv7-Reference-Cited by-同舟云学术

A Driver Fatigue Detection Algorithm Based on Dynamic Tracking of Small Facial Targets Using YOLOv7

Published:2023-11-01 Issue:11 Volume:E106.D Page:1881-1890
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LIU Shugang¹,WANG Yujie¹,YU Qiangguo²,ZHAN Jie¹,LIU Hongli³,LIU Jiangtao¹

Affiliation:

1. School of Physics and Electronic Science, Hunan University of Science and Technology

2. School of Electronic Information, Huzhou College

3. College of Electrical and Information Engineering, Hunan University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2023EDP7093/_pdf

Reference30 articles.

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2. [2] ORAD Committee, “Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems,” SAE Standard J, vol.3016, no.1, pp.1-16, 2014. 10.4271/j3016_201401

3. [3] W.W. Wierwille, M.G. Lewin, and R.J. Fairbanks, “Research on vehicle-based driver status/performance monitoring, part I,” Tech. Rep., Virginia Polytechnic Institute and State University, 1996.

4. [4] M. Patel, S.K.L. Lal, D. Kavanagh, and P. Rossiter, “Applying neural network analysis on heart rate variability data to assess driver fatigue,” Expert Systems with Applications, vol.38, no.6, pp.7235-7242, 2011. 10.1016/j.eswa.2010.12.028

5. [5] Volkswagen UK, “Driver alert system,” https://www.volkswagen.co.uk, 2023.

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