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
- Laser & Optoelectronics Progress
- Vol. 59, Issue 12, 1215012 (2022)
Fig. 1. Structure diagram of Yolov3 network
Fig. 2. Working mode of standard convolution
Fig. 3. Structure diagram of ghostbottleneck module
Fig. 4. Working mode of PW convolution
Fig. 5. Working mode of DW convolution
Fig. 6. Structure of Yolov3-new network
Fig. 7. Working mode of DSC
Fig. 8. Test system diagram of UAV charging experiment
Fig. 9. Training loss chart of Yolov3, Yolov3-new, and Yolov3-tiny
Fig. 10. UAV target training loss chart of Yolov3, Yolov3-new, and 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 2. Comparison of detection performance of three algorithms
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Table 3. Performance comparison of three algorithms in project data set detection
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