Detecting and Positioning of Wind Turbine Blade Tips for UAV-Based Automatic Inspection
- Resource Type
- Conference
- Authors
- Guo, Haowen; Cui, Qiangqiang; Wang, Jinwang; Fang, Xu; Yang, Wen; Li, Zhengrong
- Source
- IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :1374-1377 Jul, 2019
- Subject
- Aerospace
Geoscience
Signal Processing and Analysis
Blades
Wind turbines
Inspection
Shape
Cameras
Poles and towers
Detectors
Wind turbine
UAV
Mask R-CNN
Automatic inspection
- Language
- ISSN
- 2153-7003
Wind turbine detecting and blade tip positioning are essential parts of UAV-based automatic inspection. Previous methods which adopt LiDAR or ultrasonic sensor may cause cost increasement and system instability. We propose a vision-based approach for blade tip detecting and positioning. More precisely, we first detect each structure of wind turbine by combining Mask R-CNN detector and shape constraints. The pixel coordinates of blade tips can be extracted and then be used to solve a PnP problem. Finally we get GPS coordinates of blade tips which are useful for achieving path planning during the inspection. We evaluate the method on a well-annotated wind turbine datasets. The experimental results show the effectiveness and feasibility of the proposed method.