Acknowledgement
The authors would like to acknowledge the support by the China Postdoctoral Science Foundation, Grant No. 2016M592498, and the support by the State Key Labrotary of Subtropical Building Science, Grant No. 2017KB12.
International conference on construction engineering and project management (국제학술발표논문집)
- 2017.10a
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- Pages.252-259
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- 2017
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- 2508-9048(eISSN)
Automatic indoor progress monitoring using BIM and computer vision
- Deng, Yichuan (School of Civil Engineering and Transportation, South China University of Technology) ;
- Hong, Hao (School of Civil Engineering and Transportation, South China University of Technology) ;
- Luo, Han (School of Civil Engineering and Transportation, South China University of Technology) ;
- Deng, Hui (School of Civil Engineering and Transportation, South China University of Technology)
- Published : 2017.10.27
Abstract
Nowadays, the existing manual method for recording actual progress of the construction site has some drawbacks, such as great reliance on the experience of professional engineers, work-intensive, time consuming and error prone. A method integrating computer vision and BIM(Building Information Modeling) is presented for indoor automatic progress monitoring. The developed method can accurately calculate the engineering quantity of target component in the time-lapse images. Firstly, sample images of on-site target are collected for training the classifier. After the construction images are identified by edge detection and classifier, a voting algorithm based on mathematical geometry and vector operation will divide the target contour. Then, according to the camera calibration principle, the image pixel coordinates are conversed into the real world Coordinate and the real coordinates would be corrected with the help of the geometric information in BIM model. Finally, the actual engineering quantity is calculated.