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Real time and non-intrusive driver fatigue monitoring
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Real time and non-intrusive driver fatigue monitoring (2005)Real time and non-intrusive driver fatigu…Real Time Visual Cues Extraction for Monitoring Driver Vigilance (2001)Real Time Visual Cues Extract…EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)EVALUATION OF TECHNIQUES FOR …Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management (2019)Highlighting the Importance o…Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors (2013)Modeling of Driver Behavior i…Gabor-based dynamic representation for human fatigue monitoring in facial image sequences (2009)Gabor-based dynamic represent…A computer vision-based system for real-time detection of sleep onset in fatigued drivers (2008)A computer vision-based syste…Review of on-road driver fatigue monitoring devices (2005)Review of on-road driver fati…Development of drowsiness detection system (2002)An automated face reader for fatigue detection (2004)Yawning detection for determining driver drowsiness (2005)On generalizing driver gaze zone estimation using convolutional neural networks (2017)Quantification of Sleepiness: A New Approach (1973)Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations (1985)Subjective and Objective Sleepiness in the Active Individual (1990)A probabilistic framework for modeling and real-time monitoring human fatigue (2006)Cognitive Cars: A New Frontier for ADAS Research (2011)Efficient driver drowsiness detection at moderate levels of drowsiness (2012)Effects of visual and cognitive load in real and simulated motorway driving (2005)Real-Time System for Monitoring Driver Vigilance (2006)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)How does a collision warning system shape driver's brake response time? The influence of expectancy and automation complacency on real-life emergency braking (2015)Deep unsupervised multi-modal fusion network for detecting driver distraction (2020)Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Sleep related vehicle accidents (1995)Monitoring head/eye motion for driver alertness with one camera (2002)Project management: A systems approach to planning, scheduling and controlling (1982)Building the Resilient Supply Chain (2004)Resource Dependence Theory: A Review (2009)Blockchain connectivity inhibitors: weaknesses affecting supply chain interaction and resilience (2021)Reviewing the Framework of Risk Management: Policy and Hedging (2023)Practices and strategies for global sourcing and supply chain management: a Pareto analysis and MOORA a mixed method approach (2024)A drowsy driver detection system for heavy vehicles (2002)Development of an algorithm for an EEG-based driver fatigue countermeasure (2003)Yawning detection for monitoring driver fatigue based on two cameras (2009)Evaluation of fatigue monitoring technologies (2010)Designing Fatigue Warning Systems: The perspective of professional drivers (2015)
this work references cited by second hop

References

  • 1998EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT259 cited
  • 2001Real Time Visual Cues Extraction for Monitoring Driver Vigilance97 cited

Cited by

  • 2013Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors88 cited
  • 2005Review of on-road driver fatigue monitoring devices62 cited
  • 2009Gabor-based dynamic representation for human fatigue monitoring in facial image sequences49 cited
  • 2008A computer vision-based system for real-time detection of sleep onset in fatigued drivers45 cited
  • 2019Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management44 cited

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