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Driver Distraction Detection Using Semi-Supervised Machine Learning

  • Published:2016-04 Issue:4 Volume:17 Page:1108-1120
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liu Tianchi,Yang Yan,Huang Guang-Bin,Yeo Yong Kiang,Lin Zhiping

Funder

Singapore Academic Research Fund (AcRF) Tier 1 under Project RG 80/12

111 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 161 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effect of human–machine interface infotainment systems and automated vehicles on driver distraction;Human Factors and Ergonomics in Manufacturing & Service Industries;2024-09-02

2. Association Patterns of Work Zone Crashes using Bayesian Network;Transportation Research Record: Journal of the Transportation Research Board;2024-08-24

3. Machine learning-based real time identification of driver posture during driving;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-29

4. Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiogram-Based Spectrogram with Lightweight Neural Network;Transportation Research Record: Journal of the Transportation Research Board;2024-06-10

5. Three stage classification framework with ranking scheme for distracted driver detection using heuristic-assisted strategy;Knowledge-Based Systems;2024-06
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