UAV SYSTEM AND METHOD FOR AUTONOMOUS CRACK EVALUATION OF STRUCTURE BASED ON UAV MOUNTED-HYBRID IMAGE SCANNING

摘要

Provided is an automated crack evaluation system and method for detecting a crack in a structure, the system having a continuous wave line laser for irradiating the target structure, a thermal imaging camera that generates thermal images by measuring heat waves emitted from the target structure And a sensing device including a vision camera that photographs the exterior of the target structure to generate real-image images, and generates space-time integrated thermal image and real-image images for the thermal and image images, and integrates space-time. A phase image is generated based on the generated thermal image, and a deep learning process is performed on the real-time image integrated with space-time through the artificial neural network where the real image is learned to detect cracks, and a crack region specified in the real image After specifying a phase image, a deep learning process is performed through an artificial neural network to generate a thermal image containing crack information, and a thermal image crack containing crack information is mapped to the detected real image image to visualize the crack only. And a control device for generating an image.