Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor
Author:
Affiliation:
1. Faculty of Informatics, Kindai University
2. Graduate School of Science and Engineering, Kindai University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/transinf/E107.D/7/E107.D_2023EDL8077/_pdf
Reference13 articles.
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3. [3] M.H. Baccour, F. Driewer, T. Schäck, and E. Kasneci, “Comparative analysis of vehicle-based and driver-based features for driver drowsiness monitoring by support vector machines,” IEEE Trans. Intell. Transp. Syst., vol.23, no.12, pp.23164-23178, 2022. 10.1109/tits.2022.3207965
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5. [5] Y. Qu, H. Hu, J. Liu, Z. Zhang, Y. Li, and X. Ge, “Driver state monitoring technology for conditionally automated vehicles: Review and future prospects,” IEEE Trans. Instrum. Meas., vol.72, pp.1-20, 2023. 10.1109/tim.2023.3301060
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