Acta Photonica Sinica, Volume. 54, Issue 6, 0614002(2025)

PointPillars-S 3D Object Detection Algorithm Based on Lidar

Zengxu ZHAO1, Lianqing HU1、*, Bin REN1, and Shuai YUAN2
Author Affiliations
  • 1School of Mechanical Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China
  • 2School of Computer Science and Engineering,Shenyang Jianzhu University,Shenyang 110168,China
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    Figures & Tables(11)
    Overall structural diagram of the PointPillars algorithm
    Backbone structure diagram
    The structure of PointPillars-S algorithm
    MAVE module structure
    AFF feature fusion module
    Comparison of different classification loss functions
    Comparison of visual inspection results in different scenarios
    • Table 1. Comparison of AP values in vehicle classification detection by different algorithms.

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      Table 1. Comparison of AP values in vehicle classification detection by different algorithms.

      Models3D AP(car)mAP
      EasyModerateHard
      VoxelNet78.5665.8958.2167.55
      SECOND84.6573.9866.4675.03
      PointPillars83.2372.8667.8074.63
      PointRCNN85.1374.5968.7976.17
      Our85.8474.0769.3076.40
    • Table 2. Comparison of AP values for pedestrian classification detection by different algorithms

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      Table 2. Comparison of AP values for pedestrian classification detection by different algorithms

      Models3D AP(pedestrian)mAP
      EasyModerateHard
      VoxelNet51.4949.4246.8749.26
      SECOND51.1642.7637.6143.84
      PointPillars47.1044.5440.7444.13
      PointRCNN53.4647.8643.3048.21
      Our56.2852.6446.5651.83
    • Table 3. Comparison of AP values for rider classification detection by different algorithms

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      Table 3. Comparison of AP values for rider classification detection by different algorithms

      Models3D AP(cyclist)mAP
      EasyModerateHard
      VoxelNet68.4648.6245.1954.09
      SECOND71.7356.1049.2359.02
      PointPillars72.5659.9057.1963.22
      PointRCNN74.7362.4556.3164.50
      Our76.2460.5157.4664.74
    • Table 4. Ablation experiment results

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      Table 4. Ablation experiment results

      Double main trunkMAVEPolyFocalLossCarCyclistPedestrian
      3DBEV3DBEV3DBEV
      74.6384.6863.2266.7844.1353.21
      75.6484.9564.0569.7948.2655.14
      75.0884.8864.5170.1549.5357.68

      76.40

      (+1.77)

      85.23

      (+0.55)

      64.74

      (+1.53)

      71.17

      (+4.39)

      51.83

      (+7.68)

      58.61

      (+5.4)

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    Zengxu ZHAO, Lianqing HU, Bin REN, Shuai YUAN. PointPillars-S 3D Object Detection Algorithm Based on Lidar[J]. Acta Photonica Sinica, 2025, 54(6): 0614002

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    Paper Information

    Category:

    Received: Dec. 25, 2024

    Accepted: Mar. 4, 2025

    Published Online: Jul. 14, 2025

    The Author Email: Lianqing HU (164066960@qq.com)

    DOI:10.3788/gzxb20255406.0614002

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