[HTML][HTML] DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data

C Chen, A **, B Yang, R Ma, S Sun, Z Wang… - International Journal of …, 2022 - Elsevier
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 …

UAV-lidar aids automatic intelligent powerline inspection

H Guan, X Sun, Y Su, T Hu, H Wang, H Wang… - International Journal of …, 2021 - Elsevier
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 …

Autonomous power line inspection with drones via perception-aware mpc

J **ng, G Cioffi, J Hidalgo-Carrió… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Drones have the potential to revolutionize power line inspection by increasing productivity,
reducing inspection time, improving data quality, and eliminating the risks for human …

Autonomous vision-based primary distribution systems porcelain insulators inspection using UAVs

EU Rahman, Y Zhang, S Ahmad, HI Ahmad, S Jobaer - Sensors, 2021 - mdpi.com
The early detection of damaged (partially broken) outdoor insulators in primary distribution
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

N Munir, M Awrangjeb, B Stantic - Remote Sensing, 2023 - mdpi.com
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 …

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 …

[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 …

PLE-Net: Automatic power line extraction method using deep learning from aerial images

L Yang, J Fan, B Huo, E Li, Y Liu - Expert Systems with Applications, 2022 - Elsevier
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 …

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 …

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 …