Laser scanning and computer vision-based bridge deformation measurement for digital shape management of bridge structures

Gichun Cha; Mingeon Cho; Pa Pa Win Aung; Changjun Lee; Byoungjoon Yu; Seunghee Park

doi:10.1117/12.3011022

10 May 2024 Laser scanning and computer vision-based bridge deformation measurement for digital shape management of bridge structures

Gichun Cha, Mingeon Cho, Pa Pa Win Aung, Changjun Lee, Byoungjoon Yu, Seunghee Park

Author Affiliations +

Proceedings Volume 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024; 129490H (2024) https://doi.org/10.1117/12.3011022
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States

Abstract

In this study, the creation of a 3D digital model of a bridge structure by applying computer vision technology to LiDAR point cloud data acquired through laser scanning is proposed for determining structural damage. This method first identifies and labels the individual components of a bridge and then creates a detailed 3D digital model of its structure. An octree data structure is used to efficiently store and process the point cloud data to create the digital model. A static loading test on an actual bridge structure demonstrated the effectiveness of the proposed method in identifying individual components and analyzing the structural deformation. Based on the results, a 3D digital model can be used to identify structural damage to bridges during bridge inspection, monitoring, and maintenance.

Conference Presentation

Citation Download Citation

Gichun Cha, Mingeon Cho, Pa Pa Win Aung, Changjun Lee, Byoungjoon Yu, and Seunghee Park "Laser scanning and computer vision-based bridge deformation measurement for digital shape management of bridge structures", Proc. SPIE 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024, 129490H (10 May 2024); https://doi.org/10.1117/12.3011022

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