Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

R Jenssen, D Roverso - International Journal of Electrical Power & …, 2018 - Elsevier
To maintain the reliability, availability, and sustainability of electricity supply, electricity
companies regularly perform visual inspections on their transmission and distribution …

[HTML][HTML] Remote sensing methods for power line corridor surveys

L Matikainen, M Lehtomäki, E Ahokas, J Hyyppä… - ISPRS Journal of …, 2016 - Elsevier
To secure uninterrupted distribution of electricity, effective monitoring and maintenance of
power lines are needed. This literature review article aims to give a wide overview of the …

Using deep learning to identify utility poles with crossarms and estimate their locations from google street view images

W Zhang, C Witharana, W Li, C Zhang, X Li, J Parent - Sensors, 2018 - mdpi.com
Traditional methods of detecting and mapping utility poles are inefficient and costly because
of the demand for visual interpretation with quality data sources or intense field inspection …

Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniques

H Manninen, CJ Ramlal, A Singh, S Rocke… - International Journal of …, 2021 - Elsevier
Abstract Electrical Transmission System Operators (TSO) are trusted with ensuring the safety
and reliability of transmission infrastructure which can span thousands of kilometers …

State-of-the-art review of computer vision for the management of power transmission lines

F Mirallès, N Pouliot… - Proceedings of the 2014 …, 2014 - ieeexplore.ieee.org
A review of the current state-of-the-art computer vision applied to the management of power
transmission lines is presented. It covers the highest value applications for electric utilities …

A vision-based broken strand detection method for a power-line maintenance robot

Y Song, H Wang, J Zhang - IEEE Transactions on Power …, 2014 - ieeexplore.ieee.org
The broken strand of overhead ground wire (OGW), which is mainly caused by lightning
strikes or the vibration of OGW, can lead to serious damage to the power grid system. Power …

Automatic detection of power transmission lines and risky object locations using UAV LiDAR data

M Dihkan, E Mus - Arabian Journal of Geosciences, 2021 - Springer
The periodic monitoring of energy lines to lessen the impacts of threats and to destroy the
potential risks against the power transmission lines (PTL) is highly important. The risks can …

Detecting broken strands in transmission lines based on pulsed eddy current

C Liao, Y Yi, T Chen, C Cai, Z Deng, X Song, C Lv - Metals, 2022 - mdpi.com
High-voltage transmission lines are the main facilities for power transmission, and they are
mainly composed of aluminum conductor steel-reinforced (ACSR). Over long-term outdoor …

An evaluation of stereo and laser‐based range sensing for rotorcraft unmanned aerial vehicle obstacle avoidance

S Hrabar - Journal of Field Robotics, 2012 - Wiley Online Library
We present an evaluation of stereo vision and laser‐based range sensing for rotorcraft
unmanned aerial vehicle (RUAV) obstacle avoidance. Our focus is on sensors that are …

[HTML][HTML] Integration of drone and machine learning technology for predicting power infrastructure faults efficiently

WT Alshaibani, I Shayea, R Caglar, T Babaqi - Results in Engineering, 2024 - Elsevier
Power transmission and distribution networks frequently face issues, especially in harsh
environments, leading to high maintenance costs and the need for uninterrupted electricity …