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Fine-Grained Detection of Driver Distraction Based on Neural Architecture Search

  • Published:2021-09 Issue:9 Volume:22 Page:5783-5801
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen JieORCID,Jiang YaNan,Huang ZhiXiangORCID,Guo XiaoHui,Wu BoCai,Sun Long,Wu Tao

Funder

National Natural Science Foundation of China

Anhui Natural Science Foundation

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 20 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. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review;Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2024-09-11

2. Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. GLMDriveNet: Global–local Multimodal Fusion Driving Behavior Classification Network;Engineering Applications of Artificial Intelligence;2024-03

4. SIFDriveNet: Speed and Image Fusion for Driving Behavior Classification Network;IEEE Transactions on Computational Social Systems;2024-02

5. FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network;IEEE Transactions on Computational Social Systems;2024
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