Implementation of image-based inspection technology for bridges
Auteur(s): |
Young Jin Choi
(Korea University, Seoul, South Korea; Research Institute of Korea expressway corporation Miraecity Corp.)
Jun Sang Cho (Korea University, Seoul, South Korea; Research Institute of Korea expressway corporation Miraecity Corp.) Dong Woo Kim (Korea University, Seoul, South Korea; Research Institute of Korea expressway corporation Miraecity Corp.) Jung Sik Kong (Korea University, Seoul, South Korea) |
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Médium: | papier de conférence |
Langue(s): | anglais |
Conférence: | IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020 |
Publié dans: | IABSE Conference Seoul 2020 |
Page(s): | 265-266 |
DOI: | 10.2749/seoul.2020.265 |
Abstrait: |
Many infrastructures are conducting smart inspections using drones and various inspection equipment. Bridge inspections are still mostly performed by manpower, and the demand for unmanned equipment-based inspections to improve these traditional methods is increasing. In this research, a drone was used to photograph the entire view of the bridge, and rail, wire-cam were used to check the inspection blind spots that occur during inspection by personnel. A 360- degree camera was used in the part accessible to the inspector. Based on the images obtained through all technologies, a three-dimensional road view of the inspection bridge was constructed. The image-based inspection result is intuitive for both managers and inspectors, so it will improve convenience and efficiency during maintenance. |
Mots-clé: |
image 3D
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sur cette fiche - Reference-ID
10563330 - Publié(e) le:
14.02.2021 - Modifié(e) le:
21.05.2021