Development of power transmission line detection technology based on unmanned aerial vehicle image vision
Baoyu Xu, Yilin Zhao, Tao Wang, Qingning Chen
Abstract
Abstract The unmanned aerial vehicle (UAV) technology provides a new option for power transmission line inspection. The cost of the UAV detection process is relatively low, and it is flexible and extensible. In order to ensure the safety and stability of power supply in the current large and complex power grid system, UAV detection with image recognition technology has become an urgent need for the development of the current power system. Herein, we review the development of this field in detail. Different from the previous simple discussion on UAV power line inspection technology, this work not only systematically summarizes the UAV power line detection platform and its system structure, but also discusses the image recognition technology based on UAV data. Further, we focus on the fundamental process and development of power line image processing technology based on depth learning, hoping to contribute a systematic reference to the field of power line inspection based on UAV image vision.