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Sensors and Materials, Volume 31, Number 11(4) (2019)
Copyright(C) MYU K.K.
S&M2047 Research Paper of Special Issue
Published in advance: September 25, 2019
Published: November 30, 2019
Modeling and Management of Bridge Structures Using Unmanned Aerial Vehicle in Korea [PDF]
Keun Wang Lee and Joon Kyu Park
(Received June 2, 2019; Accepted August 9, 2019)
Keywords: 3D modeling, bridge structure, geospatial information, management, modeling, terrestrial LiDAR, UAV
All facilities become obsolete over time and require continuous maintenance and monitoring for safety. Bridges should be maintained to preserve their function during their life time and regularly inspected and repaired to maintain the convenience and safety of users, and their damaged parts should be restored or improved. All these activities are necessary for reinforcement. To maintain bridges, it takes a long time to accumulate geospatial information data because the drawing of the site surveyed using manpower and the creation of a management register depend on manual operation. In this study, 3D modeling of a bridge using an unmanned aerial vehicle (UAV; hereafter, UAV modeling) was performed to generate data for bridge maintenance, and the accuracy and usability of UAV modeling results were evaluated by comparing them with those of terrestrial light detection and ranging (LiDAR) results. The UAV modeling results showed an accuracy of less than 0.12 m, which suggests the usefulness of UAV modeling for bridge maintenance. The UAV modeling results can also be used for the maintenance of bridges by providing image information to determine the condition of the bridge surface. If the facilities are maintained using the UAV, the efficiency of work related to the management of road facilities is expected to improve.
Corresponding author: Joon Kyu Park
This work is licensed under a Creative Commons Attribution 4.0 International License.
Cite this article
Keun Wang Lee and Joon Kyu Park, Modeling and Management of Bridge Structures Using Unmanned Aerial Vehicle in Korea, Sens. Mater., Vol. 31, No. 11, 2019, p. 3765-3772.
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