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JRM Vol.34 No.5 pp. 985-996
doi: 10.20965/jrm.2022.p0985
(2022)

Paper:

Angle of View Switching Method at High-Speed Using Motion Blur Compensation for Infrastructure Inspection

Yuriko Ezaki*, Yushi Moko*, Tomohiko Hayakawa*, and Masatoshi Ishikawa*,**

*Information Technology Center, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

**Tokyo University of Science
1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan

Received:
March 11, 2022
Accepted:
August 10, 2022
Published:
October 20, 2022
Keywords:
high-speed and high-resolution imaging, galvanometer mirror, infrastructure inspection, angle of view, motion blur
Abstract
Angle of View Switching Method at High-Speed Using Motion Blur Compensation for Infrastructure Inspection

Extended angle of view images

Efficient imaging is achieved under conditions of high relative velocity between the camera and the subject by using the following imaging system; two galvanometer mirrors are placed vertically in front of the camera, one for motion blur compensation and the other for switching the angle of view. The proposed system can overcome the shortcomings of conventional imaging systems with motion blur compensation, such as a small angle of view, and efficiently acquire high-resolution images. If the angle is changed for each capture while the mirrors are stationary for the exposure time, the natural frequency of the mirrors produces noise, leading to a poor resolution. However, this issue can be managed by generating and using an input that does not contain a natural frequency component. A target moving in one dimension can be captured and it is confirmed that the angle of view was extended from the obtained image. It is expected that the camera will be used for inspections under conditions where the relative speed between the camera and target is high, such as in highway tunnel inspections.

Cite this article as:
Y. Ezaki, Y. Moko, T. Hayakawa, and M. Ishikawa, “Angle of View Switching Method at High-Speed Using Motion Blur Compensation for Infrastructure Inspection,” J. Robot. Mechatron., Vol.34, No.5, pp. 985-996, 2022.
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Last updated on Dec. 01, 2022