Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1415003(2024)

Deep-Learning-Based Laser Power Transfer and Targeting System for Unmanned Aerial Vehicles

Hanlin Chen1, Xiujie Qian1, Yannan Yang1, and Jianyu Lan2、*
Author Affiliations
  • 1College of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu , China
  • 2State Key Laboratory of Space Power-Sources Technology, Shanghai Institute of Space Power-Sources, Shanghai 200245, China
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    Figures & Tables(13)
    Schematic diagram of laser wireless power transmission system
    YOLOv5 universal model structure
    Convolutional block attention module structure
    Channel attention module
    Spatial attention module
    Model structure with an additional detection layer
    Modified network structure
    Centroid tracking algorithm
    Comparative results of ablation experiments. (a) mAP of the original model; (b) mAP of small object detection layer; (c) mAP of CBAM module;(d) mAP of the improved model
    Object detection results of the unmanned aerial vehicle and the photovoltaic battery array. (a) mAP of the original model; (b) mAP of the improved model; (c) precision of the original mode; (d) precision of the improved model; (e) recall of the original model; (f) recall of the improved model; (g) average loss of the original model; (h) average loss of the improved mode
    Detection results of the unmanned aerial vehicle and the photovoltaic battery
    Opto-electric conversion power
    • Table 1. Experimental hardware model and software version description table

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      Table 1. Experimental hardware model and software version description table

      Hardware and softwareVersion
      Host

      Operating System:Windows 10

      CPU:AMD Ryzen 7 5800X 8-Core Processor

      Image processor:NVIDIA Geforce RTX3060Ti

      Programming EnvironmentPyThon 3.8 + PyTorch 1.10.2 + CUDA 11.3
      Mechanical TurntableFILR PTU-E46
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    Hanlin Chen, Xiujie Qian, Yannan Yang, Jianyu Lan. Deep-Learning-Based Laser Power Transfer and Targeting System for Unmanned Aerial Vehicles[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1415003

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    Paper Information

    Category: Machine Vision

    Received: Sep. 28, 2023

    Accepted: Dec. 11, 2023

    Published Online: Jul. 8, 2024

    The Author Email: Jianyu Lan (jianyu_lan@163.com)

    DOI:10.3788/LOP232209

    CSTR:32186.14.LOP232209

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