Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415023(2022)

Autonomous Landing Algorithm of Fixed-Wing Unmanned Aerial Vehicle Based on Visual Guidance

Yunqiang Hu1、*, Yunfeng Cao2, Likui Zhuang2, and Xiaofeng Song1
Author Affiliations
  • 1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu , China
  • 2College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu , China
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    References(20)

    [6] Pan X, Tong W W, Jiang Z S. Runway detection and tracking for UAV visual navigation[J]. Chinese Journal of Sensors and Actuators, 23, 820-824(2010).

    [9] Li Z Q, Zhu R F, Ma J Y et al. Airport detection method combined with continuous learning of residual-based network on remote sensing image[J]. Acta Optica Sinica, 40, 1628005(2020).

    [10] Han Y S, Ma S P, Li S et al. Airport area detection based on optimized regional convolutional neural network[J]. Laser & Optoelectronics Progress, 57, 101021(2020).

    [11] Liu X H. Research on the extraction method of UAV autonomous landing parameters based on vision(2005).

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    Yunqiang Hu, Yunfeng Cao, Likui Zhuang, Xiaofeng Song. Autonomous Landing Algorithm of Fixed-Wing Unmanned Aerial Vehicle Based on Visual Guidance[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415023

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    Paper Information

    Category: Machine Vision

    Received: Apr. 1, 2022

    Accepted: May. 25, 2022

    Published Online: Jul. 18, 2022

    The Author Email: Yunqiang Hu (hupenghyq@163.com)

    DOI:10.3788/LOP202259.1415023

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