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Fine-Grained Detection of Driver Distraction Based on Neural Architecture Search
16 references·1 citing·38 second hop
Fine-Grained Detection of Driver Distraction Based on Neural Architecture Search (2021)Fine-Grained Detection of Driver Distract…Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)Driver Distraction Identifica…Detection of Distracted Driver Using Convolutional Neural Network (2018)Detection of Distracted Drive…Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic (2018)Detection and Evaluation of D…An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction (2018)An Adaptive Forward Collision…Real-time Distracted Driver Posture Classification (2017)Real-time Distracted Driver P…A multimodal dataset for various forms of distracted driving (2017)A multimodal dataset for vari…Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Is take-over time all that ma…Driver Distraction Detection Using Semi-Supervised Machine Learning (2015)Driver Distraction Detection …Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features (2014)Predicting Perceived Visual a…Head, Eye, and Hand Patterns for Driver Activity Recognition (2014)Head, Eye, and Hand Patterns …Real-Time Detection System of Driver Distraction Using Machine Learning (2013)Real-Time Detection System of…Online Driver Distraction Detection Using Long Short-Term Memory (2011)Online Driver Distraction Det…Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks (2010)Model-Based Analysis and Clas…Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Real-Time Detection of Driver…An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance (2006)An on-road assessment of cogn…A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction (2022)A New Unsupervised Deep Learn…Design and Analysis: A Researcher's Handbook (1975)Human Mental Workload (1988)Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone (2001)Mental workload when driving in a simulator: Effects of age and driving complexity (2009)Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis (2017)The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (2018)Multiple resources and performance prediction (2002)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition (2017)A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements (2018)Cell phone-induced failures of visual attention during simulated driving. (2003)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)Detection and prediction of driver drowsiness using artificial neural network models (2017)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Driver Distraction Detection Methods: A Literature Review and Framework (2021)The effect of cellular phone use upon driver attention (1993)Decision-making in driver-automation shared control: A review and perspectives (2020)Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network (2020)Performance Consequences of Automation-Induced 'Complacency' (1993)Toward a Theory of Situation Awareness in Dynamic Systems (1995)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)Modeling take-over performance in level 3 conditionally automated vehicles (2017)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020)Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Real‐time detection of distracted driving based on deep learning (2018)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers (2020)Intelligent In‐Vehicle Interaction Technologies (2021)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)
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References

  • 2006An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance526 cited
  • 2007Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines482 cited
  • 2016Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving414 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2019Driver Distraction Identification with an Ensemble of Convolutional Neural Networks307 cited
  • 2015Driver Distraction Detection Using Semi-Supervised Machine Learning216 cited
  • 2013Real-Time Detection System of Driver Distraction Using Machine Learning193 cited
  • 2017Real-time Distracted Driver Posture Classification193 cited
  • 2018Detection of Distracted Driver Using Convolutional Neural Network184 cited
  • 2011Online Driver Distraction Detection Using Long Short-Term Memory178 cited
  • 2014Head, Eye, and Hand Patterns for Driver Activity Recognition145 cited
  • 2017A multimodal dataset for various forms of distracted driving124 cited
  • 2010Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks119 cited
  • 2018Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic98 cited

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  • 2018An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction94 cited
  • 2014Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features93 cited
  • Cited by

    • 2022A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction40 cited