A survey on visual and non-visual features in Driver’s drowsiness detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13150-1.pdf
Reference127 articles.
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2. Abtahi S, Hariri B, Shirmohammadi S (2011, May) Driver drowsiness monitoring based on yawning detection. In: 2011 IEEE International Instrumentation and Measurement Technology Conference, https://doi.org/10.1109/IMTC.2011.5944101
3. Albu, A. B., Widsten, B., Wang, T., Lan, J., & Mah, J. (2008, June). A computer vision-based system for real-time detection of sleep onset in fatigued drivers. In: 2008 IEEE intelligent vehicles symposium. IEEE. pp. 25-30. https://doi.org/10.1109/IVS.2008.4621133
4. Alioua N, Amine A, Rziza M (2014) Driver’s fatigue detection based on yawning extraction. Int Jo Veh Technol 2014:1–7
5. Alioua N, Amine A, Rogozan A, Bensrhair A, Rziza M (2016) Driver head pose estimation using efficient descriptor fusion. EURASIP J Image Video Process 2016(1):2. https://doi.org/10.1186/s13640-016-0103-z
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