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Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework

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References

2010Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm526 cited
1995Characteristics of crashes attributed to the driver having fallen asleep512 cited
2010Applying neural network analysis on heart rate variability data to assess driver fatigue418 cited
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2014YawDD294 cited
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2013Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring253 cited
1996Sleepiness and driving: the experience of UK car drivers211 cited
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2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks179 cited
1998PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance153 cited
2009Detection of Driver Fatigue Caused by Sleep Deprivation135 cited

Cited by

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2021Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling115 cited
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2021A Survey on Driver Behavior Analysis From In-Vehicle Cameras107 cited
2021Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning93 cited
2021A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle80 cited
2023A systematic review on detection and prediction of driver drowsiness80 cited
2021Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning74 cited
2021A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions68 cited
2021Real time detection of driver fatigue based on CNN‐LSTM62 cited
2024Technologies for detecting and monitoring drivers' states: A systematic review56 cited