Fallen detection of power distribution poles in UAV inspection using improved YOLOX with particle swarm optimization
Author:
Funder
Industry-university cooperation Project in Fujian Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18369-8.pdf
Reference22 articles.
1. Deng C, Wang S, Huang Z, Tan Z, Liu J (2014) Unmanned aerial vehicles for power line inspection: a cooperative way in platforms and communications. J Commun 9:687–692. https://doi.org/10.12720/jcm.9.9.687-692
2. Santos T, Moreira M, Almeida JM, Dias A, Martins A, Dinis J, Formiga J, Silva E (2017) Plined: Vision-based power lines detection for unmanned aerial vehicles. In: 2017 IEEE International conference on autonomous robot systems and competitions (ICARSC), pp 253–259. https://doi.org/10.1109/ICARSC.2017.7964084
3. Carol M, Carlos S, Aneesh C, Francois CJ, P C, (2018) The power line inspection software (polis): a versatile system for automating power line inspection. Eng Appl Artif Intell: Int J Intell Real-Time Automation 71:293–314
4. Nguyen VN, Jenssen R, Roverso D (2018) 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
5. Varghese A, Gubbi J, Sharma H, Purushothaman B (2017) Power infrastructure monitoring and damage detection using drone captured images. In: International joint conference on neural networks, pp 1681–1687. https://doi.org/10.1109/IJCNN.2017.7966053
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