Abstract

Modeling and Management of Bridge Structures Using Unmanned Aerial Vehicle in Korea

Highlights

  • As society develops, the desire to pursue a higher standard of living is increasing, and many urban facilities are being built.[1,2] In particular, bridges are used for various purposes such as accident prevention, disaster prevention, and driver convenience; their proper maintenance is required.[3]

  • The 3D modeling of a bridge using a unmanned aerial vehicle (UAV) was performed to generate data for bridge maintenance, and the accuracy and usability of this method were evaluated by comparing them with those terrestrial light detection and ranging (LiDAR)

  • Data on the bridge of the study area we acquired using terrestrial LiDAR and a UAV, and the point cloud and modeling results of the bridge were obtained through data processing

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Summary

Introduction

The desire to pursue a higher standard of living is increasing, and many urban facilities are being built.[1,2] In particular, bridges are used for various purposes such as accident prevention, disaster prevention, and driver convenience; their proper maintenance is required.[3]. Owing to the rapid transmission of the images of a target area acquired by UAVs, they are widely used in fields such as military, communication, entertainment, and agriculture.[7,8] Unlike conventional aerial and satellite images, which capture images in accordance with a predetermined cycle and schedule, a UAV is capable of responding instantaneously under conditions that change rapidly owing to, for example, a disaster, and providing much information It can be used in the field of maintenance.[9,10] In recent years, there have been many studies using UAVs such as GNSS / INS to improve the UAV position and attitude information performance and digital camera performance.[11,12] In this study, the 3D modeling of bridge using an UAV (hereafter, UAV modeling) was performed to generate data for bridge maintenance, and the accuracy and usability of UAV data were evaluated by comparing them with terrestrial LiDAR data.

Data Acquisition and Processing
Analysis of UAV Results
Analysis of UAV utilization for Facility Maintenance
Conclusions
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