Opto-Electronic Engineering, Volume. 51, Issue 11, 240208-1(2024)

Dual view fusion detection method for event camera detection of unmanned aerial vehicles

Miao Li... Nuo Chen, Wei An*, Boyang Li, Qiang Ling and Weixing Li |Show fewer author(s)
Author Affiliations
  • College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
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    Figures & Tables(9)
    Comparison of output between event camera and traditional camera
    Event camera drone detection dataset. (a) Event point cloud, with blue background and red drone target; (b) Visible light image frame; (c) Event frame, with the target within the red box
    Point-voxel fusion segmentation network
    Event point cloud voxelization
    Point-voxel feature interaction fusion module
    Visual comparison of detection results. The red box represents the correct detection result, the yellow box represents false alarm, and the green box represents missed detection
    • Table 1. Experimental results of different algorithms on Ev-UAV dataset

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      Table 1. Experimental results of different algorithms on Ev-UAV dataset

      方法框架Pd/%Pf/%APIoU推理时间/ms
      SSD88.3(+8.2)13.3(−10.1)62.7(+6.8)18.7
      FastRCNN88.7(+7.8)13.5(−10.3)63.2(+6.3)19.5
      YOLOV789.8(+6.7)10.3(−7.1)65.3(+4.2)16.5
      RVT90.3(+6.2)10.1(−6.9)65.7(+3.8)10.5
      SAST90.1(+6.4)10.5(−7.3)65.5(+4.0)13.2
      DNA-Net90.5(+6.0)9.91(−6.7)65.9(+3.6)20.3
      OSCAR90.3(+6.2)10.2(−7.0)66.3(+3.2)25.3
      Pointnet点云91.3(+5.2)8.35(−5.1)66.1(+3.4)66.7(+3.6)19.8
      Pointnet++点云93.5(+3.0)7.33(−4.1)67.3(+2.2)67.5(+2.8)25.3
      Ours点云96.53.2169.570.315.2
    • Table 2. The impact of different views. V and V+ represent different voxel resolutions: V represents 4 pixel × 4 pixel × 20 ms, V+ represents 2 pixel × 2 pixel × 10 ms

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      Table 2. The impact of different views. V and V+ represent different voxel resolutions: V represents 4 pixel × 4 pixel × 20 ms, V+ represents 2 pixel × 2 pixel × 10 ms

      方法Pd/%Pf/%APIoU/%推理时间/ms
      P89.6 (+6.9)9.86(−6.65)66.3 (+3.2)63.2 (+7.1)7.2
      V90.6 (+5.9)8.98 (−5.77)65.7 (+3.8)63.8 (+6.5)10.2
      V+92.5 (+4.0)5.33 (−2.12)66.8 (+2.7)64.7 (+5.6)12.3
      PV94.3 (+2.2)4.32 (−1.11)67.2 (+2.3)69.2 (+1.1)19.2
      PV+96.53.2169.570.320.3
    • Table 3. The effectiveness of different fusion methods

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      Table 3. The effectiveness of different fusion methods

      方法Pd/%Pf/%APIoU
      Add90.2 (+6.3)8.63 (−5.42)67.3 (+2.2)66.8 (+3.7)
      Multi91.8 (+4.7)7.68 (−4.47)66.9 (+2.6)64.2 (+6.1)
      Concat93.8 (+2.7)6.38 (3.17)67.6 (+1.9)65.3 (+5.0)
      Ours96.53.2169.570.3
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    Miao Li, Nuo Chen, Wei An, Boyang Li, Qiang Ling, Weixing Li. Dual view fusion detection method for event camera detection of unmanned aerial vehicles[J]. Opto-Electronic Engineering, 2024, 51(11): 240208-1

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    Paper Information

    Category: Article

    Received: Sep. 2, 2024

    Accepted: Oct. 12, 2024

    Published Online: Jan. 24, 2025

    The Author Email: An Wei (安玮)

    DOI:10.12086/oee.2024.240208

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