An investigation of an image processing application for measurement of a quantity estimate of Euro form installed in construction sites
- Authors
- Lee, S.; Oh, S.; Hong, M.; Choi, J.
- Issue Date
- 2010
- Keywords
- Automatic data acquisition; Euro form; Image processing; Quantity estimate installed; Unit productivity data
- Citation
- 2010 Proceedings of the 5th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2010
- Journal Title
- 2010 Proceedings of the 5th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2010
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/21653
- DOI
- 10.1109/ICUT.2010.5677671
- ISSN
- 0000-0000
- Abstract
- Despite its grave importance, it is observed that the measurement of quantity estimates in construction sites lacks reliability from the absence of clear standards, letting the estimates to be influenced by factors including the investigator, the participants, the experience of the investigator, field circumstances and field conditions (season). However, since the information of estimates in construction sites are mostly data obtained by subjective judgment by the construction manager, thus it is difficult to expect to apply such data for management purposes, such as construction work planning and construction period computation, and construction costs. Therefore, various situations of a construction site are considered for the industry, yet the grafting of IT technology is still incomplete. As a result, this research proposes a device that introduces an image processing technology which allows the measurement of quantity estimates by a simple installation of a camera. This especially is applied to Euro Form, which is commonly used in construction sites which is not simple. In this study, an algorithm suitable to Euro Form is developed and the application is intended to be expanded in the future. ©2010 IEEE.
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Collections - College of Science and Technology > Major in Architecture Engineering > 1. Journal Articles
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