Performance evaluation of electrical transmission line detection and tracking algorithms based on image processing using UAV

E. Karakose
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引用次数: 19

Abstract

Regular control of the electrical transmission lines is important in preventing unwanted accidents and power interruptions. It is very difficult to carry out this process involving the determination of the transmission line, the tower and the plants surrounding the transmission line with human power. Today, there are some studies that use unmanned aerial vehicles to control transmission lines. In this study, the performance evaluation of the algorithms required for monitoring and controlling the transmission lines with image processing is given by using unmanned aerial vehicles. For this, firstly the capabilities of the studies in the literature have been put forward and then inferences have been made on how to overcome the shortcomings of these studies. In addition, some application results on experimental images, necessary hardware architecture and algorithm structure to make line control healthy and highly accurate are given in detail. In particular, the examination of the required stability and control methods performances for the line control realization will contribute to the works in this area.
基于无人机图像处理的输电线路检测与跟踪算法性能评价
输电线路的定期控制对于防止意外事故和电力中断很重要。这一过程涉及到输电线路、输电塔和输电线路周围植物的确定,人力很难完成。如今,也有一些利用无人机控制输电线路的研究。本文对利用无人机进行图像处理的输电线路监控算法进行了性能评价。为此,首先提出了文献研究的能力,然后对如何克服这些研究的不足进行了推断。此外,还详细介绍了在实验图像上的一些应用结果,以及为使线路控制健康、高精度所必需的硬件结构和算法结构。特别是,对实现线路控制所需的稳定性和控制方法性能的研究将有助于这一领域的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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