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Visual recognition of excavator keypoints based on synthetic image datasets
更新时间：2026-01-28

    • Visual recognition of excavator keypoints based on synthetic image datasets

    • “In the field of excavator key point recognition, experts have proposed a new method based on synthetic image datasets, which effectively improves recognition accuracy and provides a new solution for monitoring job safety and efficiency.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 56, Issue 1, Pages: 76-85(2026)
    • 作者机构：

      1.吉林大学 机械与航空航天工程学院，长春 130022

      2.柳州柳工挖掘机有限公司，广西 柳州 545007

    • DOI：10.13229/j.cnki.jdxbgxb.20240677    

      CLC： TP18

    • Received：17 June 2024，

      Published：01 January 2026

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  • YAO Zong-wei,CHEN Chen,GAO Zhen-yun,et al.Visual recognition of excavator keypoints based on synthetic image datasets[J].Journal of Jilin University(Engineering and Technology Edition),2026,56(01):76-85. DOI： 10.13229/j.cnki.jdxbgxb.20240677.

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