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Journal of the Korean Society of Civil Engineers

Journal of the Korean Society of Civil Engineers

ISO Journal TitleKSCE J. Civ. Environ. Eng. Res.
  • Open Access, Bi-monthly

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  3. 2021-08 (v.41 n.4)
  4. 10.12652/Ksce.2021.41.4.0441
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1 
Arabi, S., Haghighat, A. and Sharma, A. (2019). A deep learning based solution for construction equipment detection: from development to deployment. arXiv preprint arXiv:1904.09021.
2 
Azar, E. R. and McCabe, B. (2012a). "Part based model and spatial- temporal reasoning to recognize hydraulic excavators in construction images and videos." Automation in Construction, Vol. 24, pp. 194-202.
3 
Azar, E. R. and McCabe, B. (2012b). "Automated visual recognition of dump trucks in construction videos." Journal of Computing in Civil Engineering, Vol. 26, No. 6, pp. 769-781.
4 
Cai, J., Zhang, Y. and Cai, H. (2019). "Two-step long short-term memory method for identifying construction activities through positional and attentional cues." Automation in Construction, Vol. 106, pp. 102886. 10.1016/j.autcon.2019.102886 DOI
5 
Chi, S. H. and Caldas, C. H. (2011). "Automated object identification using optical video cameras on construction sites." Computer- Aided Civil and Infrastructure Engineering, Vol. 26, No. 5, pp. 368-380. 10.1111/j.1467-8667.2010.00690.x DOI
6 
Chi, S. H. and Caldas, C. H. (2012). "Image-based safety assessment: Automated spatial safety risk identification of earthmoving and surface mining activities." Journal of Construction Engineering and Management, Vol. 138, No. 3, pp. 341-351. 10.1061/(ASCE)CO.1943-7862.0000438 DOI
7 
Chi, S. H., Caldas, C. H. and Kim, D. Y. (2009). "A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques." Computer-Aided Civil and Infrastructure Engineering, Vol. 24, No. 3, pp. 199-211. 10.1111/j.1467-8667.2008.00580.x DOI
8 
Construction Safety Management Information System (COSMIS) (2015). Construction accident DB: 2011~2015 (in Korean), Available at: https://www.csi.go.kr/ (Accessed: November 11, 2020).
9 
DarkLabel 1.3 (2018). Image labeling and annotation tool, Available at: https://darkpgmr.tistory.com/16 (Accessed: July 20, 2020).
10 
Fang, Q., Li, H., Luo, X., Ding, L., Luo, H., Rose, T. M. and An, W. (2018). "Detecting non-hardhat-use by a deep learning method from far-field surveillance videos." Automation in Construction, Vol. 85, pp. 1-9. 10.1016/j.autcon.2017.09.018 DOI
11 
Kim, H. J., Kim, K. N. and Kim, H. K. (2016). "Vision-based object- centric safety assessment using fuzzy inference: Monitoring struck-by accidents with moving objects." Journal of Computing in Civil Engineering, Vol. 30, No. 4, pp. 1-13. 10.1061/(ASCE)CP.1943-5487.0000562 DOI
12 
Kim, J. W. and Chi, S. H. (2017). "Adaptive detector and tracker on construction sites using functional integration and online learning." Journal of Computing in Civil Engineering, Vol. 31, No. 5, pp. 1-13. 10.1061/(ASCE)CP.1943-5487.0000677 DOI
13 
Kim, J. W., Chi, S. H. and Seo, J. W. (2018). "Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks." Automation in Construction, Vol. 87, pp. 297-308. 10.1016/j.autcon.2017.12.016 DOI
14 
Korea Construction Technology Promotion Act (2016). Enforcement decree article 98 and 99, statutes of the Republic of Korea (in Korean).
15 
Korea Occupational Safety & Health Agency (KOSHA) (2011). Risk assessment on construction industry by work type (in Korean).
16 
Li, H., Chan, G., Wong, J. K. W. and Skitmore, M. (2016). "Real- time locating systems applications in construction." Automation in Construction, Vol. 63, pp. 37-47. 10.1016/j.autcon.2015.12.001 DOI
17 
MATLAB (2019). A proprietary multi-paradigm programming language and numerical computing environment: developed by MathWorks, Available at: https://kr.mathworks.com/ (Accessed: November 11, 2020).
18 
Memarzadeh, M., Golparvar-Fard, M. and Niebles, J. C. (2013). "Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors." Automation in Construction, Vol. 32, pp. 24-37. 10.1016/j.autcon.2012.12.002 DOI
19 
Park, M. W. and Brilakis, I. (2012). "Construction worker detection in video frames for initializing vision trackers." Automation in Construction, Vol. 28, pp. 15-25. 10.1016/j.autcon.2012.06.001 DOI
20 
Seoul Metropolitan Government Construction Specification (SMGCS) (2018). Safety and health management (in Korean).
21 
Yu, Y., Guo, H., Ding, Q., Li, H. and Skitmore, M. (2017). "An experimental study of real-time identification of construction workers' unsafe behaviors." Automation in Construction, Vol. 82, pp. 193-206. 10.1016/j.autcon.2017.05.002 DOI
22 
Zhu, Z., Ren, X. and Chen, Z. (2016). "Visual tracking of construction jobsite workforce and equipment with particle filtering." Journal of Computing in Civil Engineering, Vol. 30, No. 6, pp. 1-15. 10.1061/(ASCE)CP.1943-5487.0000573 DOI