Abstract
In recent years, the deterioration of infrastructure facilities such as bridges has become a problem. Precautionary measures such as visual inspection and repair by humans are in place as countermeasures for aging; however, there are issues with cost and safety in such inspections. If inspection by robots becomes possible, both these aspects will be improved, which will significantly contribute to the maintenance of infrastructure facilities. In this paper, we propose a complex image processing technique to specify the location of feature points as coordinates through smartphone cameras to obtain the location information of feature points needed for positioning BIREM-IV-P developed to support bridge inspection. The corners located in the bridge inspection environment are used as feature points, and the corners are specified using Harris corner detection, which is a conventional corner detection method, to obtain the position of the feature points. In addition, to compensate for the shortcomings of Harris corner detection, a line segment in the image is detected using the Hough transform, and the intersection points of the line segments are recognized as corners. By combining the results of the two detection methods in this manner, the target feature points can be accurately specified. Then, the position of the feature points of the specified image coordinate system can be changed to the world coordinate system. As a result, it was possible to detect the location of the target feature points in a three-dimensional coordinate system.
Highlights
In recent years, the aging of infrastructure facilities, such as bridges and tunnels, has become a problem
Recently constructed bridges are designed to have a lifespan of 100 years, the general lifespan of bridges is known to be around 50 years
We aimed to recognize the corners in the experimental environment through image processing of the video captured using a smartphone camera (OS: Android, Model: Galaxy S6 Edge Plus, Manufacturer: Samsung Electronics Co., Ltd)
Summary
The aging of infrastructure facilities, such as bridges and tunnels, has become a problem. Recently constructed bridges are designed to have a lifespan of 100 years, the general lifespan of bridges is known to be around 50 years. The proportion of bridges that have passed 50 years since construction is approximately 27% as of 2019, which will surge to approximately 52% after 10 years. The proportion of bridges shorter than 15 m in length will be approximately 59% in 10 years. There are about 230,000 road bridges in the country with unknown construction years. If inspection by robots becomes possible, these problems will be alleviated, thereby significantly contributing to the maintenance and management of infrastructure facilities
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