JRM Vol.32 No.6 pp. 1244-1258
doi: 10.20965/jrm.2020.p1244


Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections

Pang-jo Chun*1, Ji Dang*2, Shunsuke Hamasaki*1, Ryosuke Yajima*1, Toshihiro Kameda*3, Hideki Wada*4, Tatsuro Yamane*5, Shota Izumi*6, and Keiji Nagatani*1

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

*2Saitama University
255 Shimo-Okubo, Sakura-ku, Saitama 338-8570, Japan

*3University of Tsukuba
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

*4Sin Nippon Nondestructive Inspection Co., Ltd.
4-10-13 Ibori, Kokura-Kitaku, Kitakyushu 803-8517, Japan

*5The University of Tokyo
5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan

*6Ehime University
3 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan

April 10, 2020
September 4, 2020
December 20, 2020
bridge inspection, UAV, AI, remote measurement technology
Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections

New UAV for bridge inspection

In recent years, aging of bridges has become a growing concern, and the danger of bridge collapse is increasing. To appropriately maintain bridges, it is necessary to perform inspections to accurately understand their current state. Until now, bridge inspections have involved a visual inspection in which inspection personnel come close to the bridges to perform inspection and hammering tests to investigate abnormal noises by hammering the bridges with an inspection hammer. Meanwhile, as there are a large number of bridges (for example, 730,000 bridges in Japan), and many of these are constructed at elevated spots; the issue is that the visual inspections are laborious and require huge cost. Another issue is the wide disparity in the quality of visual inspections due to the experience, knowledge, and competence of inspectors. Accordingly, the authors are trying to resolve or ameliorate these issues using unmanned aerial vehicle (UAV) technology, artificial intelligence (AI) technology, and telecommunications technology. This is discussed first in this paper. Next, the authors discuss the future prospects of bridge inspection using robot technology such as a 3-D model of bridges. The goal of this paper is to show the areas in which deployment of the UAV, robots, telecommunications, and AI is beneficial and the requirements of these technologies.

Cite this article as:
Pang-jo Chun, Ji Dang, Shunsuke Hamasaki, Ryosuke Yajima, Toshihiro Kameda, Hideki Wada, Tatsuro Yamane, Shota Izumi, and Keiji Nagatani, “Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections,” J. Robot. Mechatron., Vol.32, No.6, pp. 1244-1258, 2020.
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Last updated on Feb. 25, 2021