Power lines are conceivable obstacles for UAV applications, such as door-to-door delivery services. This paper proposes radar and image fusion for power line detections as part of the work to implement a UAV autopilot system. It employs an mm-wave automotive radar, and its parameters are optimized for power line detection. The image detection is utilized with YOLO for real-time objection detection, and its detection processes are modified to obtain a better recognition precision rate. Both radar and image detection systems are integrated under the LabVIEW environment. The experiments demonstrated that radar and image fusion enhances the power line detection rate.
Radar and Image Fusion for Power Line Detection in UAV Applications
2021-07-23
1222975 byte
Conference paper
Electronic Resource
English
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