Mobile QR Code QR CODE

Journal of the Korea Concrete Institute

ISO Journal TitleJ Korea Concr Inst.
  • SCOPUS
  • KCI Accredited Journal

Journal Search

  1. Home
  2. All Issues
  3. 2025-10 (Vol.37 No.5)
  4. 10.4334/JKCI.2025.37.5.589
Export citation EndNote
XML PDF INFO REF

References

1 
ANCnews (2018) Available at: http://www.ancnews.kr/news/articleView.html?idxno=6403/ Accessed 12 September 2025.URL
2 
Clarke, T. A., and Fryer, J. G. (1998) The Development of Camera Calibration Methods and Models. The Photogrammetric Record 16(91), 51-66.DOI
3 
Gupta, M., Yin, Q., and Nayar, S. K. (2013) Structured Light in Sunlight. 2013 IEEE International Conference on Computer Vision, 545-552.URL
4 
Hartley, R., and Zisserman, A. (2003) Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge, UK.URL
5 
Jeong, B. H. (2022) Gwangju Apartment Collapse: A Tragedy Caused by ‘Hurry-Up Construction’. Kwanhun Journal 162, 179-186. (In Korean)URL
6 
Kardovskyi, Y., and Moon, S. (2021) Artificial Intelligence Quality Inspection of Steel Bars Installation by Integrating Mask R-CNN and Stereo Vision. Automation in Construction 130, 103850.DOI
7 
Li, Y., Lu, Y., and Chen, J. (2021) A Deep Learning Approach for Real-Time Rebar Counting on the Construction Site Based on YOLOv3 Detector. Automation in Construction 124, 103602.DOI
8 
Lucas, B. D., and Kanade, T. (1981) An Iterative Image Registration Technique with an Application to Stereo Vision. IJCAI'81: Proceedings of the 7th International Joint Conference on Artificial Intelligence 2, 674-679.URL
9 
Luong, Q. T., and Faugeras, O. D. (1996) The Fundamental Matrix: Theory, Algorithms, and Stability Analysis. International Journal of Computer Vision 17(1), 43-75.DOI
10 
MOLIT (2023) The 7th Basic Plan for Construction Technology Promotion. Ministry of Land, Infrastructure and Transport, Korea. Available at: https://molit.go.kr/print_portal_2016.jsp?src_folder=content-area&minwon / Accessed 12 September 2025.URL
11 
Nister, D. (2004) An efficient Solution to the Five-Point Relative Pose Problem. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(6), 756-770.URL
12 
Shin, Y., Heo, S., Han, S., Kim, J., and Na, S. (2021) An Image- Based Steel Rebar Size Estimation and Counting Method Using a Convolutional Neural Network Combined with Homography. Buildings 11(10), 463.DOI
13 
Woo, U., Lee, M., Lee, T., Choi, H., Kang, S. M., and Choi, K. K. (2025) Real-Time Rebar Spacing Measurement System for Quality Control in Construction. Automation in Construction 171, 106012.DOI
14 
Yuan, X., Smith, A., Moreu, F., Sarlo, R., Lippitt, C. D., Hojati, M., Alampalli, S., and Zhang, S. (2023) Automatic Evaluation of Rebar Spacing and Quality Using LiDAR Data: Field Application for Bridge Structural Assessment. Automation in Construction 146, 104708.DOI
15 
Yuan, X., Smith, A., Sarlo, R., Lippitt, C. D., and Moreu, F. (2021) Automatic Evaluation of Rebar Spacing Using LiDAR Data. Automation in Construction 131, 103890.DOI
16 
Zhu, Y., Tang, C., Liu, H., and Huang, P. (2020) End-Face Localization and Segmentation of Steel Bar Based on Convolution Neural Network. IEEE Access : Practical Research, Open Solutions 8, 74679-74690.URL