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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56523
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dc.contributor.advisor康仕仲(Shih-Chung Jessy Kang)
dc.contributor.authorChin-Wei Liuen
dc.contributor.author劉晉瑋zh_TW
dc.date.accessioned2021-06-16T05:32:54Z-
dc.date.available2016-08-21
dc.date.copyright2014-08-21
dc.date.issued2014
dc.date.submitted2014-08-13
dc.identifier.citationAkinci, B., Fischer, M., and Kunz, J. (2002). “Automated Generation of Work Spaces Required by Construction Activities.” Journal of Construction Engineering and Management, 128(4), 306–315.
Andayesh, M., and Sadeghpour, F. (2013). “Dynamic Site Layout Planning Through Minimization of Total Potential Energy.” Automation in Construction, 31, 92–102.
Brilakis, I., Park, M. W., and Jog, G. (2011). “Automated Vision Tracking of Project Related Entities.” Advanced Engineering Informatics, 25(4), 713–724.
Cheng, T., and Teizer, J. (2013). “Real-time Resource Location Data Collection and Visualization Technology for Construction Safety and Activity Monitoring Applications.” Automation in Construction, 34, 3–15.
Dai, F., and Lu, M. (2013). “Three-Dimensional Modeling of Site Elements by Analytically Processing Image Data Contained in Site Photos.” Journal of Construction Engineering and Management, 139(7), 881–894.
Easa, S. M., and Hossain, K. M. A. (2008). “New Mathematical Optimization Model for Construction Site Layout.” Journal of Construction Engineering and Management, 134(8), 653–662.
Golparvar-fard, M., Pena-mora, F., and Savarese, S. (2011). “Integrated Sequential As-Built and As-Planned Representation with D4AR Tools in Support of Decision-Making Tasks in the AEC/FM Industry.” 137(12), 1099–1116.
Goodrum, P. M., McLaren, M. a., and Durfee, A. (2006). “The Application of Active Radio Frequency Identification Technology for Tool Tracking on Construction Job Sites.” Automation in Construction, 15(3), 292–302.
Gore, S., Song, L., and Eldin, N. (2012). “Photo-modeling for Construction Site Space Planning.” Proceedings of Construction Research Congress 2012, West Lafayette, Indiana, 1350–1359.
Greenwood, P., Sago, J., Richmond, S., and Chau, V. (2009). “Using Game Engine Technology to Create Real-time Interactive Environments to Assist in Planning and Visual Assessment for Infrastructure.” Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 2229–2235.
Gu, N., and Tsai, J. J. H. (2010). “Interactive Graphical Representation for Collaborative 3D Virtual Worlds.” Computer-Aided Civil and Infrastructure Engineering, 25(1), 55–68.
Hartley, R., and Zisserman, A. (2004). Multiple View Geometry in Computer Vision. Cambridge University Press, United Kingdom, Cambridge.
Hu, W., and Zhang, X. (2012). “A Rapid Development Method of Virtual Assembly Experiments Based on 3D Game Engine.” Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology, Shenyang, China, 267–271.
Ju, Y., Kim, C., and Kim, H. (2012). “RFID and CCTV-Based Material Delivery Monitoring for Cable-Stayed Bridge Construction.” Journal of Computing in Civil Engineering, 26(2), 183–190.
Kim, C., Park, T., Lim, H., and Kim, H. (2013). “On-site Construction Management Using Mobile Computing Technology.” Automation in Construction, 35, 415–423.
Lai, K. C., and Kang, S. C. (2009). “Collision Detection Strategies for Virtual Construction Simulation.” Automation in Construction, 18(6), 724–736.
Lin, J. C., Hung, W. H., and Kang, S. C. (2014). “Motion Planning and Coordination for Mobile Construction Machinery.” Journal of Computing in Civil Engineering, published online on July.
Ma, Z., Shen, Q., and Zhang, J. (2005). “Application of 4D for Dynamic Site Layout and Management of Construction Projects.” Automation in Construction, 14(3), 369–381.
Nikolic, D., Jaruhar, S., and Messner, J. I. (2011). “Educational Simulation in Construction: Virtual Construction Simulator.” Journal of Computing in Civil Engineering, 25(6), 421–429.
Sadeghpour, F., Moselhi, O., and Alkass, S. T. (2006). “Computer-aided site layout planning.” Journal of Construction Engineering and Management, 132(2), 143–151.
Song, J., Haas, C. T., and Caldas, C. H. (2006). “Tracking the Location of Materials on Construction Job Sites.” Journal of Construction Engineering and Management, 132(9), 911–918.
Song, L., and Eldin, N. N. (2012). “Adaptive Real-time Tracking and Simulation of Heavy Construction Operations for Look-ahead Scheduling.” Automation in Construction, 27, 32–39.
Su, X., Andoh, A. R., Cai, H., Pan, J., Kandil, A., and Said, H. M. (2012). “GIS-based Dynamic Construction Site Material Layout Evaluation for Building Renovation Projects.” Automation in Construction, 27, 40–49.
Tang, P., Huber, D., Akinci, B., Lipman, R., and Lytle, A. (2010). “Automatic Reconstruction of As-built Building Information Models from Laser-scanned Point Clouds: A Review of Related Techniques.” Automation in Construction, 19(7), 829–843.
Wang, S., Mao, Z., Zeng, C., Gong, H., Li, S., and Chen, B. (2010). “A New Method of Virtual Reality Based on Unity3D.” Proceedings of the 18th International Conference on Geoinformatics, Beijing, China, 1–5.
Wu, Y., Kim, H., Kim, C., and Han, S. H. (2010). “Object Recognition in Construction-Site Images Using 3D CAD-Based Filtering.” Journal of Computing in Civil Engineering, 24(1), 56–64.
Xu, J., and Li, Z. (2012). “Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment.” Automation in Construction, 27, 155–169.
Yang, C. E., Lin, J. C., Hung, W. H., and Kang, S. C. (2013). “Accessibility Evaluation System for Site Layout Planning - A Tractor Trailer Example.” Visualization in Engineering, 1(12), 1–12.
Zhang, C., and Hammad, A. (2012). “Multiagent Approach for Real-Time Collision Avoidance and Path Replanning for Cranes.” Journal of Computing in Civil Engineering, 26(6), 782–794.
Zhang, J., Yu, F., Li, D., and Hu, Z. (2014). “Development and Implementation of an Industry Foundation Classes-Based Graphic Information Model for Virtual Construction.” Computer-Aided Civil and Infrastructure Engineering, 29(1), 60–74.
Zouein, P. P., Harmanani, H., and Hajar, A. (2002). “Genetic Algorithm for Solving Site Layout Problem With Unequal-Size and Constrained Facilities.” Journal of Computing in Civil Engineering, 16(2), 143–151.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56523-
dc.description.abstractA good site layout planning can avoid possible conflicts of equipment and increase accessibility during a construction process. In current practice, it is difficult to re-plan layout during the site process since the location and quantity of on-site resources change over time. Many researchers have developed site cameras to facilitate dynamic space management. However, using cameras in the site still has fragmentation between site monitoring and planning. In this research, we aim to rapidly retrieve geometric information from site cameras for dynamic site planning. We developed a four-step method: projection, duplication, description and calibration. The first step, projection, is to establish the projective model of the camera between videos and actual site. The second step, duplication, is to rapidly acquire positions and dimensions of construction objects based on the video images and model their 3D geometry in geometric virtual construction. The third step, description, is to link the geometric models with the real objects and build semantic virtual constriction, which contains not only on-site scenarios but also engineers' knowledge. The fourth step, calibration, is to improve the accuracy of the virtual construction for realistic planning. We built a software tool by integrating the four steps. The tool allows engineer to load the video and specify the location of each object. They are also able to specify the meaning of the objects. The algorithms are simultaneously creating the numerical models to link the images on the video with the virtual models. We used a real campus building to validate the usability of our method. Using the CCTV videos retrieved from the site, it took 123 seconds to create a virtual construction site. We compared the actual objects with virtual ones and found the errors are from 0.2 to 1.2 meters. The results indicate our method is feasible to transfer video to numerical virtual construction site within a reasonable time and accuracy.en
dc.description.provenanceMade available in DSpace on 2021-06-16T05:32:54Z (GMT). No. of bitstreams: 1
ntu-103-R01521613-1.pdf: 696338 bytes, checksum: d893f8a9a2d9da2b58401d0c825bff91 (MD5)
Previous issue date: 2014
en
dc.description.tableofcontents致謝 i
摘要 ii
Abstract iv
Table of Content vi
List of Figures viii
List of Table ix
1. Introduction 1
2. Related Research 4
2.1 On-site data acquisition 4
2.2 Virtual construction 7
2.3 Dynamic site planning 9
3. Research Goals 12
4. Methodology 14
4.1 System overview 14
4.2 First step: Projection 16
4.3 Second step: Duplication 20
4.4 Third step: Description 22
4.5 Fourth step: Calibration 23
5. Implementation 27
6. Validation and Discussion 33
6.1 Validation 33
6.2 Discussion 35
7. Research Contribution 38
8. Conclusion 40
Reference 41
dc.language.isoen
dc.subject虛擬工地zh_TW
dc.subject現地影像zh_TW
dc.subject空間規劃zh_TW
dc.subject動態規劃zh_TW
dc.subjectsimulationen
dc.subjectdynamic siteen
dc.subjectvirtual constructionen
dc.subjectcamerasen
dc.subjectreal-timeen
dc.subjectsite layout planningen
dc.title使用現地影片建立之語意化虛擬工地zh_TW
dc.titleA Video-Enabled Semantic Virtual Constructionen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee曾惠斌(Hui-Ping Tserng),陳鴻銘(Hung-Ming Chen),陳柏華(Albert Y. Chen)
dc.subject.keyword動態規劃,虛擬工地,現地影像,空間規劃,zh_TW
dc.subject.keywordsite layout planning,dynamic site,virtual construction,cameras,real-time,simulation,en
dc.relation.page44
dc.rights.note有償授權
dc.date.accepted2014-08-13
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
顯示於系所單位:土木工程學系

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