Funder
Liaoning Province
National Natural Science Foundation of China
Liaoning Revitalization Talents Program
Reference38 articles.
1. Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning;Nguyen;Int. J. Electr. Power Energy Syst.,2018
2. F. Ge, K. Li, W. Xu, Y. Wang, Path Planning of UAV for Oilfield Inspection Based on Improved Grey Wolf Optimization Algorithm, in: 2019 Chinese Control and Decision Conference (CCDC), 2019, pp. 3666–3671.
3. Path planning of multiple UAVs with online changing tasks by an ORPFOA algorithm;Li;Eng. Appl. Artif. Intell.,2020
4. Distributed multi-UAV cooperation for dynamic target tracking optimized by an SAQPSO algorithm;Wang;ISA Trans.,2022
5. An intelligent UAV path planning optimization method for monitoring the risk of unattended offshore oil platforms;Wang;Process Saf. Environ. Protect.,2022
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