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Vehicle target detection method based on the YOLOv10-vehicle algorithm under complex weather conditions
更新时间：2026-02-03

    • Vehicle target detection method based on the YOLOv10-vehicle algorithm under complex weather conditions

    • “Experts have proposed the YOLOv10 vehicle algorithm to address the challenges of vehicle detection in complex weather conditions. By improving modules and loss functions, the algorithm significantly enhances detection accuracy and generalization, bringing new breakthroughs to the field of vehicle detection.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3309-3318(2025)
    • 作者机构：

      中国北方车辆研究所，北京 100072

    • DOI：10.13229/j.cnki.jdxbgxb.20250016    

      CLC： TP391.4

    • Received：06 January 2025，

      Published：01 October 2025

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  • DU Hong,GU Chen-yu,ZHANG Xiao-zheng,et al.Vehicle target detection method based on the YOLOv10-vehicle algorithm under complex weather conditions[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3309-3318. DOI： 10.13229/j.cnki.jdxbgxb.20250016.

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