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

被引:7
|
作者
Lee, Keun Wang [1 ]
Park, Joon Kyu [2 ]
机构
[1] Chungwoon Univ, Dept Multimedia Sci, 113 Sukgol Ro, Incheon 22100, South Korea
[2] Seoil Univ, Dept Civil Engn, 28,Yongmasan Ro 90 Gil, Seoul 02192, South Korea
基金
新加坡国家研究基金会;
关键词
3D modeling; bridge structure; geospatial information; management; modeling; terrestrial LiDAR; UAV;
D O I
10.18494/SAM.2019.2467
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
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.
引用
收藏
页码:3765 / 3772
页数:8
相关论文
共 50 条
  • [1] DEM GENERATION OF INTERTIDAL ZONE IN KOREA USING UNMANNED AERIAL VEHICLE
    Kim, Bum-Jun
    Lee, Yoon-Kyung
    Ryu, Joo-Hyung
    Lee, SeungKuk
    Kim, Kye-Lim
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6699 - 6701
  • [2] Crack Identification for Bridge Structures Using an Unmanned Aerial Vehicle (UAV) Incorporating Image Geometric Correction
    Li, Jiapo
    Li, Xiaoda
    Liu, Kai
    Yao, Zhiyong
    BUILDINGS, 2022, 12 (11)
  • [3] Identification of the dynamic parameters of bridge elements using unmanned aerial vehicle
    Goricanec, Jurica
    Ereiz, Suzana
    Orsag, Matko
    Duvnjak, Ivan
    JOURNAL OF SOUND AND VIBRATION, 2023, 566
  • [4] Bridge related damage quantification using unmanned aerial vehicle imagery
    Ellenberg, A.
    Kontsos, A.
    Moon, F.
    Bartoli, I.
    STRUCTURAL CONTROL & HEALTH MONITORING, 2016, 23 (09): : 1168 - 1179
  • [5] Modeling and Control of Unmanned Aerial Vehicle
    Dube, D. Y.
    Munje, R. K.
    2015 INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS AND APPLICATIONS, 2015, : 641 - 644
  • [6] Modeling of an Unmanned Hybrid Aerial Vehicle
    Ducard, Guillaume
    Minh-Duc Hua
    2014 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2014, : 1011 - 1016
  • [7] Localization of Cracks in Concrete Structures Using an Unmanned Aerial Vehicle
    Woo, Hyun-Jung
    Seo, Dong-Min
    Kim, Min-Seok
    Park, Min-San
    Hong, Won-Hwa
    Baek, Seung-Chan
    SENSORS, 2022, 22 (17)
  • [8] Applying Unmanned Aerial Vehicle (UAV) in the Project Management of Civil Elevated Bridge Engineering
    Lin P.-H.
    Hsiao F.-K.
    Journal of the Chinese Institute of Civil and Hydraulic Engineering, 2020, 32 (06): : 471 - 482
  • [9] Modeling An Unmanned Aerial Vehicle as A Thinging Machine
    Al-Fedaghi, Sabah S.
    Al-Fadhli, Jassim
    CONFERENCE PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2019, : 758 - 765
  • [10] A Jellyfish Distribution Management System using an Unmanned Aerial Vehicle and Unmanned Surface Vehicles
    Koo, Jungmo
    Jung, Sungwook
    Myung, Hyun
    2017 IEEE UNDERWATER TECHNOLOGY (UT), 2017,