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Driver drowsiness detection using facial dynamic fusion information and a DBN

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References

2012Detecting Driver Drowsiness Based on Sensors: A Review783 cited
2006Real-Time System for Monitoring Driver Vigilance715 cited
2013Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring253 cited
1998PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance153 cited
2013Hybrid computer vision system for drivers' eye recognition and fatigue monitoring144 cited
2005Drowsy Driver Detection and Warning System for Commercial Vehicle Drivers: Field Operational Test Design, Data Analyses, and Progress112 cited

Cited by

2020EDDD: Event-Based Drowsiness Driving Detection Through Facial Motion Analysis With Neuromorphic Vision Sensor89 cited
2021Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning74 cited
2023A Deep-Learning Approach to Driver Drowsiness Detection73 cited
2019WGAN-Based Robust Occluded Facial Expression Recognition72 cited
2022A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning72 cited
2018Automatic Detection of Driver Impairment Based on Pupillary Light Reflex69 cited
2023AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception68 cited
2022Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets

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65 cited

2019Fatigue State Detection Based on Multi-Index Fusion and State Recognition Network55 cited

2021Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion53 cited