Artificial Intelligence and Data Science
Online ISSN : 2435-9262
BASIC STUDY ON ACCURACY IMPROVEMENT BY SRCNN IN VIBRATION MEASUREMENT OF BRIDGE USING IMAGE
Naoaki HAGIWARAKohei IIDAKosuke SUSAKITakeshi HASHIMOTOMasato ABEKoichi SUGISAKIShigehiro YAMAMOTO
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JOURNAL OPEN ACCESS

2020 Volume 1 Issue J1 Pages 329-338

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Abstract

In recent years, the deterioration of bridges has become a big social problem in Japan. Therefore, vigorous research is being carried out to detect the deterioration of bridges by measuring vibrations. Among them, there is a method of measuring vibration using images. The purpose of this paper is to enable high-accuracy measurement without contacts and artificial markers from a long distance. As a method, we took a video of the vibration with a stereo camera and measured it using frame-divided images. In addition, the resolution of the image was increased by using the super-resolution technolog y by deep learning, the accuracy of the corresponding point search by the AKAZE feature was improved, and the accuracy in long-distance measurement was improved.

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© 2020 Japan Society of Civil Engineers
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