High Power Laser and Particle Beams, Volume. 35, Issue 7, 079001(2023)
Low-altitude UAV detection and tracking algorithms in complex backgrounds
Figures & Tables(13)
Fig. 9. Block diagram of UAV detection and tracking model combining detection and tracking algorithm and feature point extraction
Fig. 11. Visualization of algorithm tracking effect after optimization
Table 1. Performance comparison of different detection algorithms
View tableView in ArticleTable 1. Performance comparison of different detection algorithms
algorithm size of input image/pixel δAP50/% δAP75/% detection speed/(frames·s−1) YOLOv5 1024×1024 86.2 57.8 35 UavYOLO-B 1024×1024 89.1 59.2 25 UavYOLO-S 320×320 88.3 58.5 200
Table 2. Performance comparison of different detection algorithms
View tableView in ArticleTable 2. Performance comparison of different detection algorithms
algorithm capture accuracy/% miss distance/pixel tracking speed/(frames·s−1) YOLOv5 87.2 10.6 35 UavYOLO-B+UavYOLO-S 93.2 5.4 25 UavYOLO-B+UavYOLO-S+CSRT 97.8 4.8 75 UavYOLO-B+UavYOLO-S+CSRT+ KeyPoints 97.8 1.5 75
Tools
Get Citation
Copy Citation Text
Jianwei Wang, Jiang You, Min Wan, Jingliang Gu. Low-altitude UAV detection and tracking algorithms in complex backgrounds[J]. High Power Laser and Particle Beams, 2023, 35(7): 079001
Paper Information
Category: Advanced Interdisciplinary Science
Received: Feb. 15, 2023
Accepted: Apr. 4, 2023
Published Online: Jul. 24, 2023
The Author Email: Wan Min (wanmin@caep.cn), Gu Jingliang (20332079@qq.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20