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[HTML][HTML] DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data
The stable and reliable supply of electric power is strongly related to the normal social
production. In recent years, power transmission lines inspection based on remote sensing …
production. In recent years, power transmission lines inspection based on remote sensing …
UAV-lidar aids automatic intelligent powerline inspection
In recent decades, a substantial increase in electricity demand has put pressure on
powerline systems to ensure an uninterrupted power supply. In order to prevent power …
powerline systems to ensure an uninterrupted power supply. In order to prevent power …
Autonomous power line inspection with drones via perception-aware mpc
Drones have the potential to revolutionize power line inspection by increasing productivity,
reducing inspection time, improving data quality, and eliminating the risks for human …
reducing inspection time, improving data quality, and eliminating the risks for human …
Autonomous vision-based primary distribution systems porcelain insulators inspection using UAVs
The early detection of damaged (partially broken) outdoor insulators in primary distribution
systems is of paramount importance for continuous electricity supply and public safety …
systems is of paramount importance for continuous electricity supply and public safety …
Power Line Extraction and Reconstruction Methods from Laser Scanning Data: A Literature Review
Electricity has become an indispensable source of energy, and power lines play a crucial
role in the functioning of modern societies. It is essential to inspect power lines promptly and …
role in the functioning of modern societies. It is essential to inspect power lines promptly and …
DenseKPNET: Dense kernel point convolutional neural networks for point cloud semantic segmentation
Y Li, X Li, Z Zhang, F Shuang, Q Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, point clouds have been widely used in powerline inspection, smart cities,
autonomous driving, and other fields. The deep learning-based point cloud processing …
autonomous driving, and other fields. The deep learning-based point cloud processing …
[HTML][HTML] Early detection of tree encroachment in high voltage powerline corridor using growth model and UAV-borne LiDAR
Y Chen, J Lin, X Liao - International Journal of Applied Earth Observation …, 2022 - Elsevier
UAV-borne LiDAR is an innovative and effective technique for tree encroachment detection
in high voltage powerline corridor. However, the periodical inspection of the whole …
in high voltage powerline corridor. However, the periodical inspection of the whole …
PLE-Net: Automatic power line extraction method using deep learning from aerial images
Automatic power line extraction is a crucial task for the safe navigation of inspection robots.
Nevertheless, power lines are always against complicated natural backgrounds which bring …
Nevertheless, power lines are always against complicated natural backgrounds which bring …
A new approach to optimize SVM for insulator state identification based on improved PSO algorithm
L Song, Q Liang, H Chen, H Hu, Y Luo, Y Luo - Sensors, 2022 - mdpi.com
The failure of insulators may seriously threaten the safe operation of the power system,
where the state detection of high-voltage insulators is a must for the normal and safe …
where the state detection of high-voltage insulators is a must for the normal and safe …
SFL-Net: Slight filter learning network for point cloud semantic segmentation
X Li, Z Zhang, Y Li, M Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, point clouds have been widely used in power-line inspection, smart cities,
autonomous driving, and other fields. Deep learning-based point cloud processing methods …
autonomous driving, and other fields. Deep learning-based point cloud processing methods …