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Hierarchical deep neural networks to detect driver drowsiness
16 references·2 citing·47 second hop
Hierarchical deep neural networks to detect driver drowsiness (2021)Hierarchical deep neural networks to dete…Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio (2019)Real-Time Driver Drowsiness D…Driver drowsiness detection using hybrid convolutional neural network and long short-term memory (2018)Driver drowsiness detection u…Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions (2017)Online Detection of Driver Fa…Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driver Drowsiness Detection v…Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks (2017)Driver Drowsiness Detection S…A review on driver drowsiness based on image, bio-signal, and driver behavior (2017)A review on driver drowsiness…A Deep Learning Perspective on the Origin of Facial Expressions (2017)A Deep Learning Perspective o…Yawning Detection Using Embedded Smart Cameras (2016)Yawning Detection Using Embed…Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Towards Detection of Bus Driv…Driver distraction detection and recognition using RGB-D sensor (2015)Driver distraction detection …Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …Driver’s Fatigue Detection Based on Yawning Extraction (2014)Driver’s Fatigue Detection Ba…Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring (2013)Visual Analysis of Eye State …An on-board system for detecting driver drowsiness based on multi-sensor data fusion using Dempster-Shafer theory (2009)An on-board system for detect…Subjective sleepiness, simulated driving performance and blink duration: examining individual differences (2006)Subjective sleepiness, simula…Real-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models (2025)Drowsiness Detection in Drive…IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture (2024)IoT-Assisted Automatic Driver…Subjective and Objective Sleepiness in the Active Individual (1990)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Systematic Interindividual Differences in Neurobehavioral Impairment from Sleep Loss: Evidence of Trait-Like Differential Vulnerability (2004)Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function (2014)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Distraction Detection Using Semi-Supervised Machine Learning (2015)Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles (2016)MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation (2019)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Drowsy Driver Detection Through Facial Movement Analysis (2007)Driver drowsiness monitoring based on yawning detection (2011)YawDD (2014)Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals (2020)Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network (2020)Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection (2021)A critical review of the psychophysiology of driver fatigue (2001)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Decision-making in driver-automation shared control: A review and perspectives (2020)DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis (2020)Approximate entropy as a measure of system complexity. (1991)Monotony of road environment and driver fatigue: a simulator study (2003)Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Driver fatigue detection based on eye tracking and dynamic template matching (2004)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)Efficient driver drowsiness detection at moderate levels of drowsiness (2012)Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework (2018)Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection (2019)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection (2019)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network (2020)An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning (2021)Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety (2022)Driver Fatigue Detection Systems: A Review (2018)
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References

  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2006Subjective sleepiness, simulated driving performance and blink duration: examining individual differences361 cited
  • 2016Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State328 cited
  • 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
  • 2013Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring253 cited
  • 2017Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions206 cited
  • 2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks179 cited
  • 2019Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio146 cited
  • 2016Yawning Detection Using Embedded Smart Cameras138 cited
  • 2014Driver’s Fatigue Detection Based on Yawning Extraction107 cited
  • 2018Driver drowsiness detection using hybrid convolutional neural network and long short-term memory100 cited
  • 2017A Deep Learning Perspective on the Origin of Facial Expressions92 cited
  • 2015Driver distraction detection and recognition using RGB-D sensor77 cited

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  • 2009An on-board system for detecting driver drowsiness based on multi-sensor data fusion using Dempster-Shafer theory60 cited
  • 2017A review on driver drowsiness based on image, bio-signal, and driver behavior58 cited
  • Cited by

    • 2024IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture40 cited
    • 2025Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models39 cited