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Driver distracted driving detection based on improved YOLOv5
更新时间：2025-05-26

    • Driver distracted driving detection based on improved YOLOv5

    • “In the field of driver distracted driving detection, experts have proposed a detection method based on improved YOLOv5. By introducing Ghost module and head posture estimation, end-to-end real-time distracted driving warning has been achieved, providing a solution to the problem of distracted driving.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 4, Pages: 959-968(2024)
    • 作者机构：

      1.重庆交通大学 交通工程应用机器人重庆市工程实验室，重庆 400074

      2.重庆工业大数据创新中心有限 公司，重庆 400056

      3.重庆科技学院 工商管理学院，重庆 401331

    • DOI：10.13229/j.cnki.jdxbgxb.20220638    

      CLC： U461.91

    • Received：24 May 2022，

      Published：01 April 2024

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  • CHEN Ren-xiang,HU Chao-chao,HU Xiao-lin,et al.Driver distracted driving detection based on improved YOLOv5[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(04):959-968. DOI： 10.13229/j.cnki.jdxbgxb.20220638.

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