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Multimodal driver distraction detection using dual-channel network of CNN and Transformer
16 references·1 citing·43 second hop
Multimodal driver distraction detection using dual-channel network of CNN and Transformer (2023)Multimodal driver distraction detection u…Driver distraction detection based on vehicle dynamics using naturalistic driving data (2022)Driver distraction detection …Driver stress detection via multimodal fusion using attention-based CNN-LSTM (2021)Driver stress detection via m…Distracted Driver Detection Based on a CNN With Decreasing Filter Size (2021)Distracted Driver Detection B…Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network (2020)Towards Computationally Effic…Driver behavior detection and classification using deep convolutional neural networks (2020)Driver behavior detection and…Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures (2019)Classification of Driver Dist…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…A multimodal dataset for various forms of distracted driving (2017)A multimodal dataset for vari…Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)Hyperband: A Novel Bandit-Bas…Scalable Bayesian Optimization Using Deep Neural Networks (2015)Scalable Bayesian Optimizatio…Driving posture recognition by convolutional neural networks (2015)Driving posture recognition b…A Multi-Modal Driver Fatigue and Distraction Assessment System (2015)A Multi-Modal Driver Fatigue …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…Defining Driver Distraction (2008)Defining Driver DistractionIntelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions (2024)Intelligent Cockpits for Conn…A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Bayesian optimization with robust Bayesian neural networks (2016)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes (2019)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)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Real-Time System for Monitoring Driver Vigilance (2006)Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)State‐Trait Anxiety Inventory (2010)The computer expression recognition toolbox (CERT) (2011)CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit (2021)A multimodal psychological, physiological and behavioural dataset for human emotions in driving tasks (2022)Real-time Distracted Driver Posture Classification (2017)HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers (2020)Proceedings of the International Joint Conference on Neural Networks, 2003. 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References

  • 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization1,368 cited
  • 2015Scalable Bayesian Optimization Using Deep Neural Networks703 cited
  • 2020Driver behavior detection and classification using deep convolutional neural networks355 cited
  • 2008Defining Driver Distraction222 cited
  • 2021Driver stress detection via multimodal fusion using attention-based CNN-LSTM199 cited
  • 2013Real-Time Detection System of Driver Distraction Using Machine Learning193 cited
  • 2018Detection of Distracted Driver Using Convolutional Neural Network184 cited
  • 2011Online Driver Distraction Detection Using Long Short-Term Memory178 cited
  • 2015Driving posture recognition by convolutional neural networks160 cited
  • 2017A multimodal dataset for various forms of distracted driving124 cited
  • 2020Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network103 cited
  • 2018Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic98 cited
  • 2015A Multi-Modal Driver Fatigue and Distraction Assessment System96 cited
  • 2019Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures96 cited

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2021
Distracted Driver Detection Based on a CNN With Decreasing Filter Size
96 cited
  • 2022Driver distraction detection based on vehicle dynamics using naturalistic driving data95 cited
  • Cited by

    • 2024Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions54 cited