Research on an Optimized Moving Edge Computing Technology for Power Patrol Inspection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3940-0_84
Reference12 articles.
1. Vina, C., Morin, P.: Micro air vehicle local pose estimation with a two-dimensional laser scanner: a case study for electric tower inspection. Int. J. Micro Air Veh. (2017)
2. Martinez, C., Sampedro, C., Chauhan, A., Collumeau, J.-F., Campoy, P.: The Power Line Inspection Software (PoLIS): a versatile system for automating power line inspection. Eng. Appl. Artif. Intell. 71, 293–314 (2018)
3. Liu, H., Zhang, Y., Yang, T.: Blockchain-enabled security in electric vehicles cloud and edge computing. IEEE Netw. 32, 78–83 (2018)
4. Xie, X., Liu, Z., Xu, C., Zhang, Y.-Z.: A multiple sensors platform method for power line inspection based on a large unmanned helicopter. Sensors 17, 1222 (2017)
5. Nguyen, V.T., 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)
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