UAV tracking and recognition method of transmission tower surface defects based on edge computing

Author:

Luan Junqing,Duan Yi,Zhao Yonghua,Jin Fuming,Zhang Ruiqiang,Xie Peilin

Publisher

SPIE

Reference10 articles.

1. Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults

2. Low-complexity graph-based traveling wave models for HVDC grids with hybrid transmission lines: Application to fault identification

3. Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV

4. Identification Algorithm of Ceramic Insulator Surface Defects on Power Transmission Towers Based on Improved U-net Network[J];Chen;Journal of Ceramics,2022

5. Damage Identification of Transmission Tower Considering Environmental Factors and Based on Measured Frequency[J];Gao;Structural Engineers,2022

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