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A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion
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A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion (2020)A Fatigue Driving Detection Algorithm Bas…Driver Fatigue Detection Systems: A Review (2018)Driver Fatigue Detection Syst…Technologies for detecting and monitoring drivers' states: A systematic review (2024)Technologies for detecting an…Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review (2024)Advancements in the Intellige…A Deep-Learning Approach to Driver Drowsiness Detection (2023)A Deep-Learning Approach to D…A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)A Multimodal Fusion Fatigue D…Trends and Future Prospects of the Drowsiness Detection and Estimation Technology (2021)Trends and Future Prospects o…Human–Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities (2021)Human–Machine Interaction in …Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Driver Mental Fatigue Detecti…Toward a Theory of Situation Awareness in Dynamic Systems (1995)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses (2020)Fatigue Monitoring Through Wearables: A State-of-the-Art Review (2021)Characteristics of crashes attributed to the driver having fallen asleep (1995)Real-Time System for Monitoring Driver Vigilance (2006)Human-Machine Shared Driving: Challenges and Future Directions (2022)Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition (2023)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)“Take over!” How long does it take to get the driver back into the loop? (2013)Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015)An extensive bibliometric analysis of artificial intelligence techniques from 2013 to 2023 (2025)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities (2025)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)Fatigue, Sleepiness, and Performance in Simulated Versus Real Driving Conditions (2005)Risk of Motor Vehicle Accidents Related to Sleepiness at the Wheel: A Systematic Review and Meta-Analysis (2017)Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019)A critical review of the psychophysiology of driver fatigue (2001)Detecting Driver Drowsiness Based on Sensors: A Review (2012)
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References

  • 2018Driver Fatigue Detection Systems: A Review557 cited

Cited by

  • 2021Human–Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities153 cited
  • 2021Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network136 cited
  • 2022A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS104 cited
  • 2023A Deep-Learning Approach to Driver Drowsiness Detection73 cited
  • 2024Technologies for detecting and monitoring drivers' states: A systematic review56 cited
  • 2021Trends and Future Prospects of the Drowsiness Detection and Estimation Technology51 cited
  • 2024Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review51 cited

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