SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A new real-time eye tracking based on nonlinear unscented Kalman filter for monitoring driver fatigue
4 references·9 citing·30 second hop
A new real-time eye tracking based on nonlinear unscented Kalman filter for monitoring driver fatigue (2010)A new real-time eye tracking based on non…Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Nonintrusive Monito…Driver fatigue detection based on eye tracking and dynamic template matching (2004)Driver fatigue detection base…Monitoring driver fatigue using facial analysis techniques (2003)Monitoring driver fatigue usi…Eye-tracking for detection of driver fatigue (2002)Eye-tracking for detection of…4D: A Real-Time Driver Drowsiness Detector Using Deep Learning (2023)4D: A Real-Time Driver Drowsi…Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets (2022)Attention for Vision-Based As…WAKE (2020)WAKESensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review (2020)Sensitivity and specificity o…Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs (2019)Fuzzy-based Driver Monitoring…Fatigue Detection Using Artificial Intelligence Framework (2019)Fatigue Detection Using Artif…Driver Drowsiness Detection Based on Face Feature and PERCLOS (2018)Driver Drowsiness Detection B…Physiological signal based detection of driver hypovigilance using higher order spectra (2015)Physiological signal based de…Automatic Driver Drowsiness Detection Using Haar Algorithm and Support Vector Machine Techniques (2015)Automatic Driver Drowsiness D…Effects of visual and cognitive load in real and simulated motorway driving (2005)An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance (2006)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)The link between fatigue and safety (2010)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Trends and Future Prospects of the Drowsiness Detection and Estimation Technology (2021)Fuzzy Set Theory and Its Applications (1993)Fuzzy Set Theory—and Its Applications (1996)Fatigue driving detection based on electrooculography: a review (2021)Intraclass correlations: Uses in assessing rater reliability. (1979)The measurement of experienced burnout (1981)Job Burnout (2001)Design and Evaluation for Situation Awareness Enhancement (1988)Subjective and Objective Sleepiness in the Active Individual (1990)Where we look when we steer (1994)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Fatigue, sleep restriction and driving performance (2005)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques (2024)Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State (2024)Driver fatigue detection based on the distance of eyelid (2005)A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers (2013)A Driver Face Monitoring System for Fatigue and Distraction Detection (2013)Drowsy driver detection using representation learning (2014)Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks (2017)Driver Fatigue Detection Based on Eye Tracking (2008)Driver drowsiness monitoring system using visual behaviour and machine learning (2018)A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Driver Fatigue Detection Systems: A Review (2018)
this work references cited by second hop

References

  • 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue752 cited
  • 2004Driver fatigue detection based on eye tracking and dynamic template matching231 cited
  • 2002Eye-tracking for detection of driver fatigue135 cited
  • 2003Monitoring driver fatigue using facial analysis techniques119 cited

Cited by

  • 2019Fatigue Detection Using Artificial Intelligence Framework89 cited
  • 20234D: A Real-Time Driver Drowsiness Detector Using Deep Learning86 cited
  • 2019Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs81 cited
  • 2022Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets65 cited
  • 2018Driver Drowsiness Detection Based on Face Feature and PERCLOS52 cited
  • 2015Physiological signal based detection of driver hypovigilance using higher order spectra51 cited
  • 2020Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review49 cited
  • 2015Automatic Driver Drowsiness Detection Using Haar Algorithm and Support Vector Machine Techniques48 cited
  • 2020WAKE47 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work