Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1415003(2024)
Deep-Learning-Based Laser Power Transfer and Targeting System for Unmanned Aerial Vehicles
Fig. 9. 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
Fig. 10. 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
Fig. 11. Detection results of the unmanned aerial vehicle and the photovoltaic battery
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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
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)
CSTR:32186.14.LOP232209