[1] YANG L, FAN J, LIU Y, et al. A review on state-of-the-art power line inspection techniques[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(12): 9350-9365.
[2] KATRASNIK J, PERNUS F, LIKAR B. A survey of mobile robots for distribution power line inspection[J]. IEEE Transactions on Power Delivery, 2010, 25(1): 485-493.
[3] NGUYEN V N, JENSSEN R, ROVERSO D. Automatic autonomous vision-based power line inspection: a review of current status and the potential role of deep learning[J]. International Journal of Electrical Power & Energy Systems, 2018, 99: 107-120.
[4] MATIKAINEN L, LEHTOMAKI M, AHOKAS E, et al. Remote sensing methods for power line corridor surveys[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2016, 119: 10-31.
[5] SIDDIQUI Z A, PARK U. A drone based transmission line components inspection system with deep learning technique[J]. Energies, 2020, 13(13): 3348.
[6] WANG S, LIU Y, QING Y, et al. Detection of insulator defects with improved ResNeSt and region proposal network[J]. IEEE Access, 2020, 8: 184841-184850.
[7] LIANG H, ZUO C, WEI W. Detection and evaluation method of transmission line defects based on deep learning[J]. IEEE Access, 2020, 8: 38448-38458.
[8] YAN T, YANG G, YU J. Feature fusion based insulator detection for aerial inspection[C]//Proceedings of the 2017 36th Chinese Control Conference, 2017: 10972-10977.
[9] 王万国, 田兵, 刘越, 等. 基于RCNN的无人机巡检图像电力小部件识别研究[J]. 地球信息科学学报, 2017, 19(2): 256-263.
WANG W G, TIAN B, LIU Y, et al. Study on the electrical devices detection in UAV images based on region based convolutional neural networks[J]. Journal of Geo-Information Science, 2017, 19(2): 256-263.
[10] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection[C]//Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.
[11] REDMON J, FARHADI A. YOLO9000: better, faster, stronger[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017: 6517-6525.
[12] SADYKOVA D, PERNEBAYEVA D, BAGHERI M, et al.IN-YOLO: real-time detection of outdoor high voltage insulators using UAV imaging[J]. IEEE Transactions on Power Delivery, 2019, 35(3): 1599-1601.
[13] WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module[C]//Proceedings of the 15th European Conference on Computer Vision. Cham: Springer, 2018.
[14] 吴涛. 基于深度学习的航拍绝缘子缺陷检测研究[D]. 大连: 大连理工大学, 2023.
WU T. Research on aerial insulator defect detection based on deep learning[D]. Dalian: Dalian University of Technology, 2023.
[15] SAN J, WANSHOU J, WEI H, et al. UAV-based oblique photogrammetry for outdoor data acquisition and offsite visual inspection of transmission line[J]. Remote Sensing, 2017, 9(3): 278. |