Method of Autonomous Survey of Power Lines Using a Multi-rotor UAV
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7685-8_23
Reference20 articles.
1. Yang, L., Fan, J., Liu, Y., Li, E., Peng, J., Liang, Z.: A review on state-of-the-art power line inspection techniques. IEEE Trans. Instrum. Measur. 69(12), 9350–9365 (2020)
2. Deng, C., Wang, S., Huang, Z., Tan, Z., Liu, J.: Unmanned aerial vehicles for power line inspection: a cooperative way in platforms and communications. J. Commun. 9(9), 687–692 (2014)
3. Jenssen, R., Roverso, D.: Automatic autonomous vision-based power line inspection: a review of current status and the potential role of deep learning. Int. J. Electr. Power Energy Syst. 99, 107–120 (2018)
4. Zhang, Y., Yuan, X., Li, W., Chen, S.: Automatic power line inspection using UAV images. Remote Sens. 9(8), 824 (2017)
5. Sampedro, C., Martinez, C., Chauhan, A., Campoy, P.: A supervised approach to electric tower detection and classification for power line inspection. In: 2014 International Joint Conference on Neural Networks (IJCNN), pp. 1970–1977 (2014)
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