Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0210012(2022)

Runway Edge Lights Brightness Detection Based on Improved RetinaNet

Qizhen Hou, Jingyan Sun*, Hao Wang, and Huiying Duan
Author Affiliations
  • College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • show less
    References(20)

    [1] Han H M. Development of the state detection and early warning system of airport runway side lights[D](2015).

    [2] He J. Design and realization of image analizition-based airport navigation light surveillance system[J]. Equipment Manufacturing Technology, 57-59(2010).

    [4] Zhang R, Li W P, Mo T. Review of deep learning[J]. Information and Control, 47, 385-397, 410(2018).

    [5] Hua X, Wang X Q, Wang D et al. Multi-objective detection of traffic scenes based on improved SSD[J]. Acta Optica Sinica, 38, 1215003(2018).

    [6] Yuan P P, Zhang L. Pedestrian attribute recognition based on deep learning[J]. Laser & Optoelectronics Progress, 57, 061001(2020).

    [7] Qu Z H, Shao Y M, Deng T M et al. Traffic sign detection and recognition under complicated lighting conditions[J]. Laser & Optoelectronics Progress, 56, 231009(2019).

    [8] Dong Y F, Zhang C T, Wang P et al. Airplane detection of optical remote sensing images based on deep learning[J]. Laser & Optoelectronics Progress, 57, 041007(2020).

    [21] Li H, Zhang L M, Jiang M R et al. An infrared and visible image fusion algorithm based on ResNet152[J]. Laser & Optoelectronics Progress, 57, 081013(2020).

    Tools

    Get Citation

    Copy Citation Text

    Qizhen Hou, Jingyan Sun, Hao Wang, Huiying Duan. Runway Edge Lights Brightness Detection Based on Improved RetinaNet[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210012

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Dec. 27, 2020

    Accepted: Mar. 16, 2021

    Published Online: Dec. 23, 2021

    The Author Email: Jingyan Sun (1056462879@qq.com)

    DOI:10.3788/LOP202259.0210012

    Topics