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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60478
完整後設資料紀錄
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dc.contributor.advisor徐百輝
dc.contributor.authorYu-Chen Tsengen
dc.contributor.author曾昱晨zh_TW
dc.date.accessioned2021-06-16T10:19:15Z-
dc.date.available2015-08-20
dc.date.copyright2013-08-20
dc.date.issued2013
dc.date.submitted2013-08-16
dc.identifier.citationChio, S. H., 2001. A Practical Strategy for Roof Patch Extraction from Urban Stereo Aerial Images Doctoral dissertation, Ph. D. Dissertation, National Cheng Kung University, Taiwan, ROC.
Choi, N, et al., 2008. Rapid 3D object recognition for automatic project progress monitoring using a stereo vision system. The 25th International Symposium on Automation and Robotics in Construction, pp. 58-63.
Fryer, J. G. and Brown, D. C., 1986. Lens distortion for close-range photogrammetry. Photogrammetric engineering and remote sensing, 52(1): 51-58.
Fuchs, C. and Heuel, S., 1995. Feature extraction. Second Course in Digital Photogrammetry, 3-1.
Heesom, D., and Mahdjoubi, L., 2004. Trends of 4D CAD applications for construction planning. Construction Management and Economics, 22(2): 171-182.
Karara, H. M., and Abdel-Aziz, Y. I., 1974. Accuracy aspects of non-metric imageries. Photogrammetric Engineering, 40(9): 1107-1117.
Kim, C., Son, H., and Kim, C., 2013. Automated construction progress measurement using a 4D building information model and 3D data. Automation in Construction, 31: 75-82.
Kim, H. and Kano, N., 2008. Comparison of construction photograph and VR image in construction progress. Automation in Construction, 17(2): 137-143.
Koo, B., and Fischer, M., 2000. Feasibility study of 4D CAD in commercial construction. Journal of construction engineering and management, 126(4): 251-260.
Liston, K., 2001. Focused sharing of information for multidisciplinary decision making by project teams. Electronic Journal of Information Technology in Construction, 6: 69.
Lowe, D. G., 1991. Fitting parameterized three-dimensional models to images.IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(5): 441-450.
Lukins, T. C., Ibrahim, Y. M., Kaka, A., and Trucco, E., 2007. Now you see it: the case for measuring progress with computer vision. In Proceedings of the 4th International SCRI Research Symposium, Salford.
Rebolj, D., Babič, N. Č., Magdič, A., Podbreznik, P., and Pšunder, M., 2008. Automated construction activity monitoring system. Advanced engineering informatics, 22(4):493-503.
Roh, S., Aziz, Z., and Pena-Mora, F., 2011. An object-based 3D walk-through model for interior construction progress monitoring. Automation in Construction,20(1): 66-75.
Sester, M. and Forstner, W., 1989. Object location based on uncertain models. Mustererkennung 1989 : pp. 457-464. Springer Berlin Heidelberg.
Tangelder, J. W., Ermes, P. I. E. R. R. E., Vosselman, G. E. O. R. G. E., & van den Heuvel, F. A., 1999. Measurement of curved objects using gradient based fitting and CSG models. IAPRS, Thessaloniki, 32: 23-30.
van den Heuvel, F. A., 1998. 3D reconstruction from a single image using geometric constraints. ISPRS Journal of Photogrammetry and Remote Sensing, 53(6): 354-368.
Webb, R. M., 2004. The potential of 4D CAD as a tool for construction management. Journal of Construction Research, 5(01): 43-60.
王正忠,2002,以近景攝影測量進行模型式建物重建,碩士論文,國立成功大學
王聖鐸,2003,以浮測模型理論萃取三維空間資訊-以建物重建為例,博士論文, 國立成功大學
辛其亮,1993,重大工程的時程管理,營建管理論文集,pp.231-238。
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吳敏漳,2004,3D雷射掃描於施工進度及流程記錄上之應用,碩士論文,國立 台灣科技大學。
林文棋,2001,半自動化建物萃取之建物模型建置與操作,碩士論文,國立成功 大學
周宏達,2001,以最小二乘法進行參數式模型與影像之最佳套合,碩士論文,國 立成功大學。
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蕭琮輝,2009,應用影像辨識技術於營造業工程進度管控之研究,碩士論文,國 立台灣大學。
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60478-
dc.description.abstract營造業使用三維3D視覺化的技術輔助施工進度監測已逐漸成熟,但實務上多用於與業主溝通等單純視覺化展示的工具。規畫設計時的模型未能配合實際現況進行更新,導致無法達到進度監測的目的。本研究使用近景攝影測量的技術,定期拍攝施工現況的影像,並將預先規畫設計的三維模型投影到二維影像中進行套合,藉由不同時期的模型投影來辨識建築物件的進度,輔助專案人員瞭解工程實際進度與預定進度的差異。
本研究欲發展一套半自動視覺化進度監測流程並應用在實際案例中。視覺化進度監測流程如下:(1)影像方位重建:將所拍攝的施工現場影像建立其方位,每一張影像對應到的相機位置。(2)模型投影:將3D模型藉由共線式以及影像的方位參數投影進影像之中。(3)模型重建:將投影的模型利用最小二乘法套合至影像中的建物上,並輸出模型參數。(4) 影像進度辨識方法:將不同時期的模型投影至拍攝的影像之中,依據本研究建立的辨識邏輯來判斷進度是否符合。最後利用此進度監測模式,進行實際案例的驗證。
經過實際案例的驗證,透過視覺化進度監測,即可半自動比對施工現況與預定進度的差異,並提供及時的進度資訊,幫助專案人員或者是第三方的監測單位,更快瞭解實際狀況,並期望能夠一步一步達到自動化進度監測的目的。
zh_TW
dc.description.abstractIn construction industry, 3D Visualization technology has come into being in monitoring construction progress. However, recent 3D models are mainly used as a visual displaying tool for contractors communicating with others. Lacking of periodically real-time updates constrains the pre-planned models to serve as monitoring purposes when the techniques put into practice. To overcome the limitations of existing applications, this research focuses on the monitoring technique using as-built photographs matching with images taken from the 3D as-planned model in different construction status to recognize the actual working schedule. This approach enables the project managers to have a realistic understanding of the deviation between the pre-planned schedule and real-time construction progress.
The purpose of this research is to develop a visual progress monitoring system that can be applied to practical projects. The chronological use of the visual progress monitoring system includes: (1) Reconstruction of the Image's Orientation: Obtain the orientation of an image from a worksite. Each image will be able to accurately depict the orientation of the camera. (2) Projection of a model: Using the Collinearity Equation and the orientation of the image, project the 3D model onto the worksite's image. (3) Reconstruction of the Model: Match of projected model to it's corresponding component at an worksite using Least-Squares Estimation, and print out the model's parameters. (4) Method of Visual Progress Monitoring: Project individual models taken from various times as the work progressed onto the worksite image. Using the logic of recognition developed by this research to conclude whether the progress at the worksite is up to par with the predetermined schedule. Finally apply this technique at an actual worksite.
It has been experimentally determined that using the visual progress monitoring system, the worksite's progress can semi-automatically compare the actual progress to the planned progress. Thus, the system can provide information regarding the worksite progress in a timely manner, and thus assist professional or a third-party monitor in understanding the actual progress. This research aspires to elicit further research and eventually develop an automatic progress monitoring system.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T10:19:15Z (GMT). No. of bitstreams: 1
ntu-102-R00521115-1.pdf: 3493047 bytes, checksum: 8ca3ed3dfbb99cecd2c6ea6b3c1e4a5c (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents口試委員會審定書 #
誌謝 i
摘要 ii
ABSTRACT iii
目錄 v
圖目錄 viii
表目錄 x
第一章 緒論 1
1.1 研究動機 1
1.2 研究背景 2
1.3 研究目的 2
1.4 論文結構 3
1.5 研究範圍及限制 4
1.6 小結 5
第二章 文獻回顧 6
2.1 4D於營造業現況及相關發展 6
2.2 視覺化於進度控管相關研究 7
2.3 攝影測量與建模相關研究 10
2.3.1 資料導向式建物重建 10
2.3.2 模型導向式建物重建 11
2.4 小結 12
第三章 研究方法 13
3.1 近景攝影測量簡述 13
3.1.1 坐標系統 14
3.2 像片方位重建 16
3.2.1 內方位參數 16
3.2.2 外方位參數 17
3.2.3 方位參數解算 17
3.2.4 坐標系統轉換 21
3.3 模型重建 23
3.3.1 模型投影 23
3.3.2 邊緣線偵測 25
3.3.3 模型套合 26
3.4 作業流程 36
3.5 小結 38
第四章 實驗成果 39
4.1 模擬資料 39
4.1.1 外方位參數對建模結果的影響 40
4.1.2 邊緣線像點萃取對建模結果的影響 44
4.1.3 拍攝距離對定位精度的影響 46
4.1.4 交會角度對定位精度的影響 49
4.1.5 相機擺設方式對定位精度的影響 51
4.2 實際資料 53
4.2.1 像片拍攝過程 54
4.2.2 實際應用流程及結果 54
4.2.3 影像辨識方法 60
4.3 小結 66
第五章 作業流程 67
5.1 誤差分析 67
5.2 影像辨識的問題及困難點 68
5.3 視覺化進度監控應用流程 69
5.4 小結 71
第六章 結論與建議 72
6.1 結論 72
6.2 後續研究建議 74
參考文獻 76
dc.language.isozh-TW
dc.subject視覺化進度監測zh_TW
dc.subject近景攝影測量zh_TW
dc.subject工程影像辨識zh_TW
dc.subject營建自動化zh_TW
dc.subjectconstruction image recognitionen
dc.subjectclose-range photogrammetryen
dc.subjectvisual progress monitoringen
dc.subjectconstruction automationen
dc.title近景攝影測量於施工進度監測之應用zh_TW
dc.titleApplication of Close-range Photogrammetry for Construction Progress Monitoringen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee曾惠斌,邱式鴻,林祐正
dc.subject.keyword近景攝影測量,工程影像辨識,視覺化進度監測,營建自動化,zh_TW
dc.subject.keywordclose-range photogrammetry,construction image recognition,visual progress monitoring,construction automation,en
dc.relation.page78
dc.rights.note有償授權
dc.date.accepted2013-08-16
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
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