Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents

Author:

Saito YuichiORCID,Itoh Makoto,Inagaki Toshiyuki

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Cited by 73 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Driver distraction and fatigue detection in images using ME‐YOLOv8 algorithm;IET Intelligent Transport Systems;2024-09-02

2. Cooperative control for lane departure prevention based on model predictive control and gated recurrent unit model;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-26

3. TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG;IEEE Transactions on Intelligent Transportation Systems;2024-07

4. Operational Performance and Subjective Preferences of Elderly Users in Intelligent Interactive Interfaces: A Systematic Review;International Journal of Human–Computer Interaction;2024-05-20

5. Development of an In-Vehicle Measurement System for Estimation of Driver’s State Using Wrist-Worn Sensors;Journal of Japan Society for Fuzzy Theory and Intelligent Informatics;2024-02-15

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