Browse > Article
http://dx.doi.org/10.5345/JKIBC.2020.20.3.289

Automated Bar Placing Model Generation for Augmented Reality Using Recognition of Reinforced Concrete Details  

Park, U-Yeol (Department of Architectural Engineering, Andong National University)
An, Sung-Hoon (Department of Architectural Engineering, Daegu University)
Publication Information
Journal of the Korea Institute of Building Construction / v.20, no.3, 2020 , pp. 289-296 More about this Journal
Abstract
This study suggests a methodology for automatically extracting placing information from 2D reinforced concrete details drawings and generating a 3D reinforcement placing model to develop a mobile augmented reality for bar placing work. To make it easier for users to acquire placing information, it is suggested that users takes pictures of structural drawings using a camera built into a mobile device and extract placing information using vision recognition and the OCR(Optical Character Registration) tool. In addition, an augmented reality app is implemented using the game engine to allow users to automatically generate 3D reinforcement placing model and review the 3D models by superimposing them with real images. Details are described for application to the proposed methodology using the previously developed programming tools, and the results of implementing reinforcement augmented reality models for typical members at construction sites are reviewed. It is expected that the methodology presented as a result of application can be used for learning bar placing work or construction review.
Keywords
virtual reality; augmented reality; bar placing; image recognition; optical character recognition; game engine;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
연도 인용수 순위
1 Wang X, Kim MJ, Love PE, Kang SC. Augmented reality in built environment: Classification and implications for future research. Automation in Construction. 2013 Jul;32:1-13. https://doi.org/10.1016/j.autcon.2012.11.021   DOI
2 Wang P, Wu P, Wang J, Chi HL, Wang X. A critical review of the use of virtual reality in construction engineering education and training. International Journal of Environmental Research and Public Health. 2018 Jun;15(6):1-18. https://doi.org/10.3390/ijerph15061204
3 Behzadan AH, Dong S, Kamat VR. Augmented reality visualization: A Review of civil infrastructure system applications. advanced engineering informatics. 2015 Apr;29(2):252-67. https://doi.org/10.1016/j.aei.2015.03.005   DOI
4 Shin DH, Dunston PS. Identification of application area for augmented reality in industrial construction based on technology suitability. Automation in Construction. 2008 Oct;17(7):882-94. https://doi.org/10.1016/j.autcon.2008.02.012   DOI
5 Chi HL, Kang SC, Wang X. Research trends and opportunities of augmented reality applications. Automation in Construction. 2013 Aug;33:116-22. https://doi.org/10.1016/j.autcon.2012.12.017   DOI
6 Ronkohi S, Waugh L. Review and analysis of augmented reality literature for construction industry. Visualization in Engineering. 2013 Aug;1(1):1-18. https://doi.org/10.1186/2213-7459-1-9   DOI
7 Ayer SK, Messner JI, Anumba CJ. Augmented Reality Gaming in Sustainable Design Education. Journal of Architectural Engineering. 2016 Jan;22(1):1-8. https://doi.org/10.1061/(ASCE)AE.1943-5568.0000195
8 Wang TK, Huang J, Liao Pin-Chao, Piao Y. Does augmented reality effectively foster visual learning process in construction? An eye-tracking study in steel installation. Advances in Civil Engineering. 2018 Jul;2018:1-12. https://doi.org/10.1155/2018/2472167
9 Turkan Y, Radkowski R, Karabulut-Ilgu A, Behzadan AH, Chen An. Mobile augmented reality for teaching structural analysis. Advanced Engineering Informatics. 2017 Oct;34:90-100. https://doi.org/10.1016/j.aei.2017.09.005   DOI
10 Sebastjan M, Turk Z, Dolenc M. Measuring the potential of augmented reality in civil engineering. Advances Engineering Software. 2015 Dec;90:1-10. https://doi.org/10.1016/j.advengsoft.2015.06.005   DOI
11 Park UY. Mobile augmented reality for teaching bar placing. Journal of the Korea Institute of Building Construction. 2018 Oct;18(5):471-7. https://doi.org/10.5345/JKIBC.2018.18.5.471   DOI
12 Behzadan AH, Kamat VR. Enabling discovery-based learning in construction using telepresent augmented reality. Automation in Construction. 2013 Aug;33:3-10. https://doi.org/10.1016/j.autcon.2012.09.003   DOI
13 Koch, C, Neges M, Konig M, Abramovici M. Natural markers for augmented reality-based indoor navigation and facility maintenance. Automation in Construction. 2014 Dec;48:18-30. https://doi.org/10.1016/j.autcon.2014.08.009   DOI
14 Park UY. Fundamental study on augmented reality -based maintenance of construction structure using ibeacon localization technology Journal of the Regional Association of Architectural Institute of Korea. 2019 Feb;21(1):57-63.
15 Ryu HG, Choi HB, Jang MH. Method to select tower cranes using augmented reality in smart devices. Journal of the Korea Institute of Building Construction. 2014 Aug;14(5):407-13. https://doi.org/10.5345/JKIBC.2014.14.5.407   DOI
16 Park UY. Mobile augmented reality for teaching bar placing. Journal of the Korea Institute of Building Construction. 2018 Oct;18(5):471-7. https://doi.org/10.5345/JKIBC.2018.18.5.471   DOI
17 Lee TO. A study on the actual condition survey of apartment rebar work. Journal of the Korea Institute of Building Construction. 2008 Apr;8(2):71-9. https://doi.org/10.5345/JKIC.2008.8.2.071   DOI
18 Cao Y, Wang S, Li Heng. Automatic recognition of tables in construction tender documents. Automation in Construction. 2002 A ug;11(5):573-84. https://doi.org/10.1016/S0926-5805(01)00067-X   DOI
19 Kim JS, Chin SY, Yoon SW. A study on the applicability of character recognition technology for construction supply chain management of structural steel components and precast concrete works. Korean Journal of Construction Engineering and Management. 2014 Jul;15(4):20-9. https://doi.org/10.6106/KJCEM.2014.15.4.020   DOI
20 Shin HR, Lee SH, Park JS, Song JK Performance improvement of optical character recognition for parts book using pre-processing of modified VGG model. The Journal of The Korea Institute of Electronic Communication Sciences. 2019 Mar;14(2):433-8. https://doi.org/10.13067/JKIECS.2019.14.2.433   DOI
21 Gang SM, Ryu DH, Choi YC, Choung YJ. Unity3D-based flood simulation visualization web system for efficient disaster management. Journal of the Korean Association of Geographic Information Studies. 2017 Mar;20(1):98-112. https://doi.org/10.11108/kagis.2017.20.1.098   DOI
22 Lee HM, Lee WH. Development of handwriting recognition using deep learning in unity3D. Journal of The Korean Society for Computer Game. 2019 Mar;32(1):51-9.   DOI
23 Song SK, Lee MS, Noh DW, Lee MS. A study on the construction of drawing recognition-management system for the reuse of architectural drawing information. Journal of the Architectural Institute of Korea Planning & Design. 2000 Jul;16(7):31-8.
24 Jung YS, Park KH. Recognition of dimension sets based on vectorization of interpretation line in mechanical drawings. Journal of KISS(B):Software and Applications. 1997 Sep;24(9):995-1005.
25 Lim TK, Choi BY, Lee DE. Methodology for near-miss identification between earth work equipment and workers using image analysis. Korean Journal of Construction Engineering and Management. 2019 Jul;20(4):69-76. https://doi.org/10.6106/KJCEM.2019.20.4.069   DOI