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Road object detection method based on improved YOLOv5 algorithm
更新时间：2025-05-26

    • Road object detection method based on improved YOLOv5 algorithm

    • “In the road traffic scene, aiming at the problem of poor recognition effect of remote targets, a road target detection method with improved YOLOv5 algorithm is proposed, which improves the detection accuracy and real-time performance, and has guiding significance for the improvement of visual perception ability of autonomous vehicle.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 9, Pages: 2658-2667(2024)
    • 作者机构：

      长春工业大学 计算机科学与工程学院，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20221461    

      CLC： U492.8

    • Received：16 November 2022，

      Published：01 September 2024

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  • WANG Hong-zhi,SONG Ming-xuan,CHENG Chao,et al.Road object detection method based on improved YOLOv5 algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(09):2658-2667. DOI： 10.13229/j.cnki.jdxbgxb.20221461.

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