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Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1215012(2022)

Laser Remote Charging Recognition Algorithm for Unmanned Aerial Vehicle Based on Deep Learning

Wenfeng Li and Yannan Yang*
Author Affiliations
  • College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, Jiangsu , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (5)
    References (20)
    Cited By (1)
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    Figures & Tables(14)
    Structure diagram of Yolov3 network

    Fig. 1. Structure diagram of Yolov3 network

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    Working mode of standard convolution

    Fig. 2. Working mode of standard convolution

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    Structure diagram of ghostbottleneck module

    Fig. 3. Structure diagram of ghostbottleneck module

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    Working mode of PW convolution

    Fig. 4. Working mode of PW convolution

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    Working mode of DW convolution

    Fig. 5. Working mode of DW convolution

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    Structure of Yolov3-new network

    Fig. 6. Structure of Yolov3-new network

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    Working mode of DSC

    Fig. 7. Working mode of DSC

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    Test system diagram of UAV charging experiment

    Fig. 8. Test system diagram of UAV charging experiment

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    Training loss chart of Yolov3, Yolov3-new, and Yolov3-tiny

    Fig. 9. Training loss chart of Yolov3, Yolov3-new, and Yolov3-tiny

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    UAV target training loss chart of Yolov3, Yolov3-new, and Yolov3-tiny

    Fig. 10. UAV target training loss chart of Yolov3, Yolov3-new, and Yolov3-tiny

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    Detection results of three algorithms on UAV target data set. (a) Yolov3; (b) Yolov3-new; (c) Yolov3-tiny

    Fig. 11. Detection results of three algorithms on UAV target data set. (a) Yolov3; (b) Yolov3-new; (c) Yolov3-tiny

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    • Table 1. Performance comparison of three algorithms for voc2007 data set detection

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      Table 1. Performance comparison of three algorithms for voc2007 data set detection

      PerformanceClassYolov3Yolov3-tinyYolov3-new
      AP /%Aeroplane82.5280.3777.75
      Bicycle93.6489.5891.57
      Bird87.6774.9383.80
      Boat89.7071.2690.02
      Bottle75.4460.6168.25
      Bus93.0588.0796.00
      Car87.2584.9088.29
      Cat93.2787.2389.51
      Chair84.6371.4876.48
      Cow92.3880.0591.96
      Diningtable88.5678.0179.53
      Dog92.1885.3681.50
      Horse94.0686.5093.57
      Motorbike92.0979.7385.87
      Person84.2375.3079.08
      Pottedplant79.4456.3673.15
      Sheep65.4671.8381.84
      Sofa97.3991.5689.77
      Train97.0889.3493.17
      Tvmonitor86.1080.6691.89
      mAP /%87.8175.1685.15

    • Table 2. Comparison of detection performance of three algorithms

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      Table 2. Comparison of detection performance of three algorithms

      AlgorithmWeight /MBmAP /%Speed /（frame·s-1）
      Yolov3236.087.8117
      Yolov3-tiny33.875.1647
      Yolov3-new29.785.1533

    • Table 3. Performance comparison of three algorithms in project data set detection

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      Table 3. Performance comparison of three algorithms in project data set detection

      AlgorithmWeight /MBAP /%Speed /（frame·s-1）
      Yolov3236.090.1717
      Yolov3-new29.789.3333
      Yolov3-tiny33.8047
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    Wenfeng Li, Yannan Yang. Laser Remote Charging Recognition Algorithm for Unmanned Aerial Vehicle Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215012

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    Paper Information

    Category: Machine Vision

    Received: Jul. 20, 2021

    Accepted: Aug. 17, 2021

    Published Online: May. 23, 2022

    The Author Email: Yannan Yang (yangyn@nuaa.edu.cn)

    DOI:10.3788/LOP202259.1215012

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology