Study on Anti-Interference Inspection UAV for High Altitude Transmission Lines Based on Convolutional Neural Network Multimodal Recognition
A method based on convolutional neural network is proposed for the multimodal recognition of anti-interference inspection UAVs for high-altitude transmission lines.Aiming at the problems of weather,cluttered background and signal interference in high-altitude transmission line inspection,this paper adopts multimodal sensors for data acquisition and inputs them into convolutional neural network for feature extraction and classification.First,a multimodal sensor device is designed,including Openmv recognition module,infrared camera,high-definition camera and LiDAR.These sensors can acquire visible images,infrared images and radar reflection signals at the same time,providing a rich source of information.An anti-interference strategy is also studied to ensure the normal,efficient operation of the inspection UAV.
high altitude transmission lineUAVmultimodal recognitionanti-interference
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