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Driver distraction detection using semi-supervised lightweight vision transformer · Study

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ArticleDriver distraction detection using semi-supervised lightweight vision transformer

Adam A. Q. Mohammed2023

Article2023

Driver distraction detection using semi-supervised lightweight vision transformer

Adam A. Q. Mohammed · Xin Geng · Jing Wang · Zafar Ali

47 citations·0/0 files stored·Engineering Applications of Artificial Intelligence

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Human-Automation Interaction and Safety Advanced Neural Network Applications Sleep and Work-Related Fatigue

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References

2017Real-time Distracted Driver Posture Classification 2018Detection of Distracted Driver Using Convolutional Neural Network 2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges 2020HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers 2019A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones 2021A Survey on Driver Behavior Analysis From In-Vehicle Cameras 2020A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD 2022A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning

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2021A survey on vision-based driver distraction analysisarticle · 5 shared references 2021A Survey on Driver Behavior Analysis From In-Vehicle Camerasarticle · 3 shared references 2021Distracted Driver Detection Based on a CNN With Decreasing Filter Sizearticle · 3 shared references 2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)article · 3 shared references 2023AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perceptionother · 3 shared references 2024Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videosarticle · 3 shared references

Details

Year2023

Typearticle

Published2023-12-12

VenueEngineering Applications of Artificial Intelligence

ISSN-L0952-1976

Languageen

Citations47

Files0 public / 0

ShelfHuman-Automation Interaction and Safety

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doi10.1016/j.engappai.2023.107618

openalex_workW4389636502

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