Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1215017(2022)

Detection and Tracking of Low-Altitude Unmanned Aerial Vehicles Based on Optimized YOLOv4 Algorithm

Yuemeng Zhao1,2 and Huigang Liu1,2、*
Author Affiliations
  • 1Engineering Research Center of Thin Film Optoelectronics Technology, Ministry of Education, College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
  • 2Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin 300350, China
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    References(27)

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    [15] Ma Q, Zhu B, Cheng Z D et al. Detection and recognition method of fast low-altitude unmanned aerial vehicle based on dual channel[J]. Acta Optica Sinica, 39, 1210002(2019).

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    Yuemeng Zhao, Huigang Liu. Detection and Tracking of Low-Altitude Unmanned Aerial Vehicles Based on Optimized YOLOv4 Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215017

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    Paper Information

    Category: Machine Vision

    Received: Aug. 2, 2021

    Accepted: Sep. 8, 2021

    Published Online: May. 23, 2022

    The Author Email: Liu Huigang (liuhg@nankai.edu.cn)

    DOI:10.3788/LOP202259.1215017

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