Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0615012(2025)

Improved PointPillars Algorithm Based on Point Cloud Feature Enhancement

Gan Zhang*, Yuhui Peng, Baozhe Sun, Shenyang Lin, and Jiaming Zhang
Author Affiliations
  • School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, Fujian , China
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    References(26)

    [1] Qin J, Wang W B, Zou Q Jet al. A survey of 3D object detection methods based on lidar point clouds[J]. Computer Science, 50, 259-265(2023).

    [8] Tian F, Liu C, Liu F et al. Laser radar 3D target detection based on improved PointPillars[J]. Laser & Optoelectronics Progress, 61, 0812007(2024).

    [11] Wang L Z, Huang M H, Liu R Y et al. Improved two-stage 3D object detection algorithm for roadside scenes with enhanced PointPillars and transformer[J]. Laser & Optoelectronics Progress, 61, 2037010(2024).

    [13] Yang Q X, Kong D M, Chen J et al. PointPillars improvement based on density clustering and dual attention mechanisms[J]. Laser & Optoelectronics Progress, 61, 2412003(2024).

    [16] Chen S W. Research on 3D point cloud object detection technology for autonomous vehicles based on deep learning[D], 36-37(2023).

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    Gan Zhang, Yuhui Peng, Baozhe Sun, Shenyang Lin, Jiaming Zhang. Improved PointPillars Algorithm Based on Point Cloud Feature Enhancement[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0615012

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    Paper Information

    Category: Machine Vision

    Received: Jul. 25, 2024

    Accepted: Sep. 3, 2024

    Published Online: Mar. 12, 2025

    The Author Email:

    DOI:10.3788/LOP241730

    CSTR:32186.14.LOP241730

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