Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0212004(2025)

Lightweight GCP-YOLOv8s for Insulator Defect Detection

Fuzhen Huang* and Tianci Wang
Author Affiliations
  • College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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    References(28)

    [6] Shao G W, Liu Z, Fu J et al. Research progress in unmanned aerial vehicle inspection technology on overhead transmission lines[J]. High Voltage Engineering, 46, 14-22(2020).

    [8] Liu K P, Li B Q, Qin L et al. Review on the application of deep learning target detection algorithm in insulator defect detection of overhead transmission lines[J]. High Voltage Engineering, 49, 2584-3595(2023).

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    Fuzhen Huang, Tianci Wang. Lightweight GCP-YOLOv8s for Insulator Defect Detection[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0212004

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Apr. 22, 2024

    Accepted: Jun. 3, 2024

    Published Online: Dec. 17, 2024

    The Author Email:

    DOI:10.3788/LOP241147

    CSTR:32186.14.LOP241147

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