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An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning
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An Efficient Approach for Detecting Driver Drowsiness Based on Deep Learning (2021)An Efficient Approach for Detecting Drive…IoT‐Based Smart Alert System for Drowsy Driver Detection (2021)IoT‐Based Smart Alert System …Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN (2020)Driver Fatigue Detection Base…Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application (2020)Driver Drowsiness Detection M…Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio (2019)Real-Time Driver Drowsiness D…Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)Real-time Driver Drowsiness D…Sleepiness and sleep-related accidents in commercial bus drivers (2009)Sleepiness and sleep-related …Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State (2024)Real-Time Fatigue Detection A…System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures (2023)System and Method for Driver …Driver drowsiness detection and smart alerting using deep learning and IoT (2023)Driver drowsiness detection a…A Deep-Learning Approach to Driver Drowsiness Detection (2023)A Deep-Learning Approach to D…A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)Sleep related vehicle accidents (1995)Fatigue, alcohol and performance impairment (1997)Self‐reported sleep and health among Norwegian hospital nurses in intensive care units (2012)Sleep disorders as a cause of motor vehicle collisions. (2013)Sleepiness and sleep-disordered breathing in truck drivers (2013)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)4D: A Real-Time Driver Drowsiness Detector Using Deep Learning (2023)Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach (2025)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)A novel approach for driver fatigue detection based on visual characteristics analysis (2021)A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification (2023)Drowsy Driver Detection Through Facial Movement Analysis (2007)IoT-Based Non-Intrusive Automated Driver Drowsiness Monitoring Framework for Logistics and Public Transport Applications to Enhance Road Safety (2023)A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)Detecting Driver Drowsiness Based on Sensors: A Review (2012)RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT (1994)Prevalence of motor vehicle crashes involving drowsy drivers, United States, 1999–2008 (2012)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)YawDD (2014)Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue (2020)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network (2020)Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety (2022)
this work references cited by second hop

References

  • 2018Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques251 cited
  • 2020Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application213 cited
  • 2021IoT‐Based Smart Alert System for Drowsy Driver Detection176 cited
  • 2020Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN147 cited
  • 2019Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio146 cited
  • 2009Sleepiness and sleep-related accidents in commercial bus drivers111 cited

Cited by

  • 2023A Deep-Learning Approach to Driver Drowsiness Detection73 cited
  • 2023Driver drowsiness detection and smart alerting using deep learning and IoT63 cited
  • 2023System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures62 cited
  • 2024Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State54 cited

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