Description

Internal drone inspections have recently appeared as an efficient solution for detecting wind turbine defects that are externally undetectable. This project proposes exploring SLAM techniques to map and localize where the drone is flying inside the wind turbine blade. Localizing the blade defects would help in designing a proper blade repair recommendation. This industrial project will be executed in collaboration with the company Wind Power Lab, who will provide the video data.