• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
Luque-Vega, F. Luis, 2014, Power line inspection via an unmanned aerial system based on the quadrotor helicopter, MELECON 2014-2014 17th IEEE Mediterranean electro- technical conference. IEEEDOI
2 
Mao, Tianqi, 2019, Defect recognition method based on HOG and SVM for drone inspection images of power transmission line, International Conference on HighDOI
3 
Siddiqui, Zahid Ali, Unsang Park, 2020, A Drone Based Transmission Line Components Inspection System with Deep Learning Technique, Energies 13.13: 3348DOI
4 
Park, Joon‐Young, 2020, Method of operating a GIS‐based autopilot drone to inspect ultrahigh voltage power lines and its field tests, Journal of Field Robotics Vol.37, Vol. 37, No. 3, pp. 345-361DOI
5 
Viola, Paul, Jones Michael, 2001, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE computer society conference on com- puter vision and pattern recognition. CVPR 2001. IEEE, Vol. 1DOI
6 
Dalal, Navneet, Triggs Bill, 2005, Histograms of oriented gradients for human detection, 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05). IEEE, Vol. 1DOI
7 
Liu, Wei, 2016, Ssd: Single shot multibox detector, European conference on computer vision. SpringerDOI
8 
Redmon, Joseph, Farhadi Ali, 2018, Yolov3: An incremental improvement, arXiv preprint arXiv: 1804.02767.Google Search
9 
Ren, Shaoqing, 2015, Faster r-cnn: Towards real-time object detection with region proposal networks, Advances in neural information processing systems. 2015.DOI
10 
Zhao, Qijie, 2019, M2det: A single-shot object detector based on multi-level feature pyramid network, Proceedings of the AAAI Conference on Artificial Intelligence. Vol.33. 2019., Vol. 33DOI
11 
Huang, Zhanchao, 2020, DC-SPP-YOLO: Dense connection and spatial pyramid pooling based YOLO for object detection, Information SciencesDOI