[HTML][HTML] A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications
Z Zhang, L Zhu - drones, 2023 - mdpi.com
In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …
researchers and industry, due to its broad application prospects. It has been widely used in …
[HTML][HTML] A review and future directions of techniques for extracting powerlines and pylons from LiDAR point clouds
Y Shen, J Huang, J Wang, J Jiang, J Li… - International Journal of …, 2024 - Elsevier
The rapid progression of the intelligent grid requires continuous vigilance in monitoring and
maintaining extensive powerline corridors to ensure their safety. In this context, LiDAR …
maintaining extensive powerline corridors to ensure their safety. In this context, LiDAR …
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 …
Detection of foreign objects intrusion into transmission lines using diverse generation model
Y Wu, S Zhao, Z **ng, Z Wei, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Foreign objects intrusion into transmission lines can lead to serious troubles, using deep
learning technology for foreign object detection has good performance and can reduce …
learning technology for foreign object detection has good performance and can reduce …
[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 …
[HTML][HTML] Lidar-based real-time detection and modeling of power lines for unmanned aerial vehicles
The effective monitoring and maintenance of power lines are becoming increasingly
important due to a global growing dependence on electricity. The costs and risks associated …
important due to a global growing dependence on electricity. The costs and risks associated …
Individual tree canopy parameters estimation using UAV-based photogrammetric and LiDAR point clouds in an urban park
Estimation of urban tree canopy parameters plays a crucial role in urban forest
management. Unmanned aerial vehicles (UAV) have been widely used for many …
management. Unmanned aerial vehicles (UAV) have been widely used for many …
[HTML][HTML] Design and implementation of UAVs for bird's nest inspection on transmission lines based on deep learning
H Li, Y Dong, Y Liu, J Ai - Drones, 2022 - mdpi.com
In recent years, unmanned aerial vehicles (UAV) have been increasingly used in power line
inspections. Birds often nest on transmission line towers, which threatens safe power line …
inspections. Birds often nest on transmission line towers, which threatens safe power line …
Automatic extraction of high-voltage power transmission objects from UAV lidar point clouds
Electric power transmission and maintenance is essential for the power industry. This paper
proposes a method for the efficient extraction and classification of three-dimensional (3D) …
proposes a method for the efficient extraction and classification of three-dimensional (3D) …
Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis
The widespread popularity of unmanned aerial vehicles enables an immense amount of
power line inspection data to be collected. It is an urgent issue to employ massive data …
power line inspection data to be collected. It is an urgent issue to employ massive data …