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Three-dimensional object detection algorithm based on multi-scale candidate fusion and optimization
更新时间：2025-05-26

    • Three-dimensional object detection algorithm based on multi-scale candidate fusion and optimization

    • “The improved PV-RCNN algorithm improves accuracy in point cloud scene detection, solves the problems of target loss and background point interference, and provides a new solution for 3D object detection.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 2, Pages: 709-721(2025)
    • 作者机构：

      1.长春理工大学 电子信息工程学院，长春 130022

      2.长春理工大学 空间光电技术研究所，长春 130022

      3.吉林大学第一医院 泌尿外二科，长春 130061

    • DOI：10.13229/j.cnki.jdxbgxb.20230543    

      CLC： TP391

    • Received：30 May 2023，

      Published：01 February 2025

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  • CAI Hua,ZHENG Yan-yang,FU Qiang,et al.Three-dimensional object detection algorithm based on multi-scale candidate fusion and optimization[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(02):709-721. DOI： 10.13229/j.cnki.jdxbgxb.20230543.

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