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AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception
16 references·0 citing·48 second hop
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception (2023)AIDE: A Vision-Driven Multi-View, Multi-M…Disentangled Representation Learning for Multimodal Emotion Recognition (2022)Disentangled Representation L…CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit (2021)CogEmoNet: A Cognitive-Featur…DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis (2020)DMD: A Large-Scale Multi-moda…A Convolution Bidirectional Long Short-Term Memory Neural Network for Driver Emotion Recognition (2020)A Convolution Bidirectional L…Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)Driver Distraction Identifica…Real‐time detection of distracted driving based on deep learning (2018)Real‐time detection of distra…Driver’s Facial Expression Recognition in Real-Time for Safe Driving (2018)Driver’s Facial Expression Re…Driver Fatigue Detection Systems: A Review (2018)Driver Fatigue Detection Syst…Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (2016)Taxonomy and Definitions for …Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Recent Trends in Driver Safet…Effects of specific emotions on subjective judgment, driving performance, and perceived workload (2014)Effects of specific emotions …Modeling of operators' emotion and task performance in a virtual driving environment (2011)Modeling of operators' emotio…Camera-based drowsiness reference for driver state classification under real driving conditions (2010)Camera-based drowsiness refer…Measurement Reliability and Validity (2000)Measurement Reliability and V…The Information That Drivers Use: Is it Indeed 90% Visual? 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References

  • 1980A circumplex model of affect.16,320 cited
  • 2000Measurement Reliability and Validity2,539 cited
  • 2018Driver Fatigue Detection Systems: A Review557 cited
  • 1996The Information That Drivers Use: Is it Indeed 90% Visual?409 cited
  • 2019Driver Distraction Identification with an Ensemble of Convolutional Neural Networks307 cited
  • 2016Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles293 cited
  • 2022Disentangled Representation Learning for Multimodal Emotion Recognition273 cited
  • 2014Effects of specific emotions on subjective judgment, driving performance, and perceived workload212 cited
  • 2018Driver’s Facial Expression Recognition in Real-Time for Safe Driving196 cited
  • 2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges168 cited
  • 2018Real‐time detection of distracted driving based on deep learning152 cited
  • 2020DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis145 cited
  • 2010Camera-based drowsiness reference for driver state classification under real driving conditions139 cited
  • 2011Modeling of operators' emotion and task performance in a virtual driving environment125 cited

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2021
CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit
104 cited
  • 2020A Convolution Bidirectional Long Short-Term Memory Neural Network for Driver Emotion Recognition102 cited
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