Obstacle Avoidance Algorithm for Unmanned Aerial Vehicle Power Line Detection based on Binocular Vision

In recent years, the study of binoculars-based transmission line detection and obstacle avoidance algorithms has gradually gained attention in the development of unmanned aircraft technology. This study aims to study the application of binoculars in transmission line inspections by combining image processing and depth data analysis to improve the navigational and obstacle avoidance capability of unmanned aircraft in complex environments. By constructing efficient visual algorithms, it is possible to identify obstacles in and around power lines in real time, thereby optimizing flight paths and ensuring the smooth progress of detection tasks. In addition, this study will also explore the practical application effects of the algorithm and evaluate its potential value in the field of power inspection.