Journal of Optoelectronics · Laser, Volume. 35, Issue 6, 641(2024)

Lightweight YOLOv5 detection algorithm for low-altitude micro UAV

WEI Feng1, ZHOU Jianping1, TAN Xiang1,2,3、*, LIN Jing2, TIAN Li2, and WANG Hu1
Author Affiliations
  • 1School of Intelligent Manufacturing Modern Industry, Xinjiang University, Urumchi, Xinjiang Uygur Autonomous Region 830000, China
  • 2Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 3The Research Center for UAV Application and Regulation, Chinese Academy of Sciences, Beijing 100101, China
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    References(12)

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    [15] [15] AKSOY M , ORAK A S,ZKAN H M, et al. Drone dataset: Amateur unmanned air vehicle detection[EB/OL].(2019-11-25).[2023-01-26]. https://www.kaggle.com/datasets/mcagriaksoy/amateur-unmanned-air-vehicle-detection-dataset.

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    WEI Feng, ZHOU Jianping, TAN Xiang, LIN Jing, TIAN Li, WANG Hu. Lightweight YOLOv5 detection algorithm for low-altitude micro UAV[J]. Journal of Optoelectronics · Laser, 2024, 35(6): 641

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    Paper Information

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    Received: Oct. 28, 2022

    Accepted: Dec. 13, 2024

    Published Online: Dec. 13, 2024

    The Author Email: TAN Xiang (tanxiang@igsnrr.ac.cn)

    DOI:10.16136/j.joel.2024.06.0741

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