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On generalizing driver gaze zone estimation using convolutional neural networks
7 references·3 citing·39 second hop
On generalizing driver gaze zone estimation using convolutional neural networks (2017)On generalizing driver gaze zone estimati…Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Takeover Time in Highly Autom…Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles (2016)Looking at Humans in the Age …A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior (2013)A Gaze-Based Driver Distracti…Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Inattention Monitoring…Real-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Eye, Gaze, and Face…Real Time Visual Cues Extraction for Monitoring Driver Vigilance (2001)Real Time Visual Cues Extract…Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021) (2022)Detecting and recognizing dri…A survey on vision-based driver distraction analysis (2021)A survey on vision-based driv…Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness (2019)Looking at the Driver/Rider i…EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)Development of drowsiness detection system (2002)An automated face reader for fatigue detection (2004)Real time and non-intrusive driver fatigue monitoring (2005)Yawning detection for determining driver drowsiness (2005)Measurement of Situation Awareness in Dynamic Systems (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Fatigue Detection Systems: A Review (2018)Driver behavior detection and classification using deep convolutional neural networks (2020)Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator (2002)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic (2018)Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction (2018)Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers (2022)“Take over!” How long does it take to get the driver back into the loop? (2013)Driver classification and driving style recognition using inertial sensors (2013)Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance (2014)Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Interaction between pedestrians and automated vehicles: A Wizard of Oz experiment (2018)Decision-making in driver-automation shared control: A review and perspectives (2020)Ironies of automation (1983)A Critical View of Driver Behavior Models: What Do We Know, What Should We Do? (1985)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Forming inferences about some intraclass correlation coefficients. (1996)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD (2020)Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance (2005)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Technologies for detecting and monitoring drivers' states: A systematic review (2024)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver drowsiness detection with eyelid related parameters by Support Vector Machine (2008)On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes (2009)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception (2023)
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References

  • 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2017Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control691 cited
  • 2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance561 cited
  • 2016Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles218 cited
  • 2013A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior121 cited
  • 2001Real Time Visual Cues Extraction for Monitoring Driver Vigilance97 cited

Cited by

  • 2019Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness85 cited
  • 2021A survey on vision-based driver distraction analysis70 cited
  • 2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)70 cited

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