The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components

Automation in Construction

Volumn 49, Issue , 2015, Pages 201-213

  Bosché, Frédéric ^a   Ahmed, Mahmoud ^b   Turkan, Yelda ^c   Haas, Carl T ^b   Haas, Ralph ^b  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF WATERLOO   (Canada)

^c Iowa State University   (United States)

Author keywords

3D laser scanning; BIM; Hough transform; MEP; Percent built as planned; Progress tracking; Scan to BIM; Scan vs BIM

Indexed keywords

AUTOMATION; BUDGET CONTROL; COST EFFECTIVENESS; HOUGH TRANSFORMS; LASER APPLICATIONS; SURFACE ANALYSIS;

3D LASER SCANNING; BIM; MEP; PERCENT BUILT AS PLANNED; SCAN-TO-BIM; SCAN-VS-BIM;

ARCHITECTURAL DESIGN;

EID: 84926221924     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2014.05.014     Document Type: Article

References (76)

1. J.E. Schaufelberger, and L. Holm Management of Construction Projects: A Constructor's Perspective 2002 Prentice Hall
2. D. Grau, C.H. Caldas, C.T. Haas, P.M. Goodrum, and J. Gong Assessing the impact of materials tracking technologies on construction craft productivity Autom. Constr. 18 2009 903 911
3. E. Ergen, B. Akinci, and R. Sacks Life-cycle data management of engineered-to-order components using radio frequency identification Autom. Constr. 21 2007 356 366
4. N. Li, and B. Becerik-Gerber Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment Adv. Eng. Inform. 25 3 2011 535 546
5. A. Pradhan, E. Ergen, and B. Akinci Technological assessment of radio frequency identification technology for indoor localization ASCE J. Comput.n Civ. Eng. 23 4 2009 230 238
6. S.N. Razavi, and C.T. Haas Multisensor data fusion for on-site materials tracking in construction Autom. Constr. 19 2010 1037 1046
7. S.N. Razavi, and O. Moselhi GPS-less indoor construction location sensing Autom. Constr. 28 2012 128 136
8. J. Teizer, M. Venugopal, and A. Walia Ultra-wide band for automated real-time three-dimensional location sensing for workforce, equipment, and material positioning and tracking Transportation Research Record 2008 Transportation Research Board of the National Academies Washington D.C. 56 64
9. T. Cheng, M. Venugopal, J. Teizer, and P.A. Vela Performance evaluation of ultra-wideband technology for construction resource location tracking in harsh environments Autom. Constr. 20 2011 1173 1184
10. A. Shahi, A. Aryan, J.S. West, C.T. Haas, and R.G. Haas Deterioration of UWB positioning during construction Autom. Constr. 24 2012 72 80
11. K.S. Saidi, J. Teizer, M. Franaszek, and A.M. Lytle Static and dynamic performance evaluation of a commercially-available ultra-wide band tracking system Autom. Constr. 20 2011 519 530
12. D. Grau, C.H. Caldas, C.T. Haas, P.M. Goodrum, and J. Gong Assessing the impact of materials tracking technologies on construction craft productivity Autom. Constr. 18 2009 903 911
13. C. Haas Algorithms to Map Subsurface Ferrous Conductors MSc Thesis 1986 Carnegie Mellon University Department of Civil Engineering (Aug. 1986)
14. C. Haas, H. Shen, W.A. Phang, and R. Haas Application of Image Analysis Technology to Automation of Pavement Condition Surveys 1984 Publication of Balkema (AA)
15. J. Abeid, E. Allouche, D. Arditi, and M. Hayman PHOTO-NET II: a computer-based monitoring system applied to project management Autom. Constr. 12 5 2003 603 616
16. Y.M. Ibrahim, T.C. Lukins, X. Zhang, E. Trucco, and A.P. Kaka Towards automated progress assessment of workpackage components in construction projects using computer vision Adv. Eng. Inform. 23 1 2009 93 103
17. S. Chi, C.H. Caldas, and D.Y. Kim A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques Comput. Aided Civ. Infrastruct. Eng. 24 3 2009 199 211
18. Y. Wu, H. Kim, C. Kim, and S.H. Han Object recognition in construction-site images using 3D CAD-based filtering J. Comput. Civ. Eng. 24 1 2009 56 64
19. J. Teizer, C.H. Caldas, and C.T. Haas Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources J. Constr. Eng. Manag. 133 11 2007 880 888
20. M. Golparvar-Fard, F. Pena-Mora, and S. Savarese Application of D4AR - a 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication J. Inf. Technol. Constr. 14 2009 129 153
21. M. Golparvar-Fard, F. Peña-Mora, and S. Savarese Automated progress monitoring using unordered daily construction photographs and IFC-based building information models ASCE J. Comput. Civ. Eng. 2014 10.1061/(ASCE)CP.1943-5487.0000205 (in press)
22. S. El-Omari, and O. Moselhi Integrating 3D laser scanning and photogrammetry for progress measurement of construction work Autom. Constr. 18 1 2008 1 9
23. M. Ahmed, C. Haas, J. West, and R. Haas Rapid tracking of pipe-works progress using digital photogrammetry Proceedings of the 9th Construction Specialty Conference, Ottawa, Ontario, Canada 2011 14 17
24. M. Ahmed, C. Haas, and R. Haas Using digital photogrammetry for pipe-works progress tracking Canadian Journal for Civil Engineering Special Issue Constr. Eng. Manag. 39 9 2012 1062 1071
25. M. Ahmed, C.T. Haas, and R. Haas Toward low-cost 3D automatic pavement distress surveying: the close range photogrammetry approach Can. J. Civ. Eng. 38 12 2011 1301 1313
26. G.S. Cheok, W.C. Stone, R.R. Lipman, and C. Witzgall Ladars for construction assessment and update Autom. Constr. 9 5 2000 463 477
27. W. Stone, and G. Cheok LADAR sensing applications for construction Building and Fire Research 2001 National Institute of Standards and Technology (NIST) Gaithersburg, MD
28. E.J. Jaselskis, Z. Gao, and R.C. Walters Improving transportation projects using laser scanning J. Constr. Eng. Manag. 131 3 2005 377 384
29. I. Brilakis, M. Lourakis, R. Sacks, S. Savarese, S. Christodoulou, J. Teizer, and A. Makhmalbaf Toward automated generation of parametric BIMs based on hybrid video and laser scanning data Adv. Eng. Inform. 24 4 2010 456 465
30. G. Jacobs 3D scanning: using multiple laser scanners on projects Prof. Surveyor Mag. 28 2008
31. F. Bosché, and C.T. Haas Automated retrieval of 3D CAD model objects in construction range images Autom. Constr. 17 2008 499 512
32. F. Bosché Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction Adv. Eng. Inform. 24 1 2010 107 118
33. C. Kim, H. Son, and C. Kim Automated construction progress measurement using a 4D building information model and 3D data Autom. Constr. 31 2013 75 82
34. P. Tang, D. Huber, B. Akinci, R. Lipman, and A. Lytle Automatic reconstruction of as-built building information models from laser-scanned point clouds: a review of related techniques Autom. Constr. 19 7 2010 829 843
35. P. Tang, E. Anil, B. Akinci, and D. Huber Efficient and effective quality assessment of as-is building information models and 3D laser-scanned data ASCE International Workshop on Computing in Civil Engineering, Miami, FL, USA 2011
36. J. Lee, H. Son, C. Kim, and C. Kim Skeleton-based 3D reconstruction of as-built pipelines from laser-scan data Autom. Constr. 35 2013 199 207
37. B. Lijing, and Z. Zhengpeng Application of point clouds from terrestrial 3D laser scanner for deformation measurements The International Archives of the Photogrammetry Remote Sens. Spat. Inf. Sci. 37 2008
38. H.S. Park, H.M. Lee, H. Adeli, and I. Lee A new approach for health monitoring of structures: terrestrial laser scanning Comput. Aided Civ. Infrastruct. Eng. 22 2007 19 30
39. D.W. Qui, and J.G. Wu Terrestrial laser scanning for deformation monitoring of the thermal pipeline traversed subway tunnel engineering XXIst ISPRS Congress: Commission V, WG 3, Beijing 2008 491 494
40. E. Valero, A. Adán, and C. Cerrada Automatic method for building indoor boundary models from dense point clouds collected by laser scanners Sensors 12 2012 16099 16115
41. X. Xiong, A. Adán, B. Akinci, and D. Huber Automatic creation of semantically rich 3D building models from laser scanner data Autom. Constr. 31 2013 325 337
42. S.-W. Kwon, F. Bosche, C. Kim, C.T. Haas, and K.A. Liapi Fitting range data to primitives for rapid local 3D modeling using sparse range point-clouds Autom. Constr. 13 1 2003 67 81
43. J. McLaughlin, S.V. Sreenivasan, C.T. Haas, and K.A. Liapi Rapid human-assisted creation of bounding models for obstacle avoidance in construction Comput. Aided Civ. Infrastruct. Eng. 19 2004 3 15
44. T. Rabbani, and F. van den Heuvel Efficient Hough transform for automatic detection of cylinders in point clouds ISPRS WG III/3, III/4, V/3 Workshop on Laser Scanning, Enschede, NL 2005
45. N.J. Shih, and S.T. Huang 3D scan information management system for construction management J. Constr. Eng. Manag. 132 2 2006 134 142
46. Y. Turkan, F. Bosche, C.T. Haas, and R. Haas Automated progress tracking using 4D schedule and 3D sensing technologies Autom. Constr. 22 2012 414 421
47. Y. Turkan, F. Bosché, C.T. Haas, and R. Haas Toward automated earned value tracking using 3D imaging tools J. Constr. Eng. Manag. 139 4 2012 423 433
48. M. Ahmed, C.T. Haas, and R. Haas Autonomous modeling of pipes within point clouds Proceedings of the 30th ISARC, Montréal, Canada 2013 1093 1100
49. M. Ahmed, C.T. Haas, and R. Haas Automatic detection of cylindrical objects in built facilities ASCE J. Comput. Civ. Eng. 28 3 2014 10.1061/(ASCE)CP.1943-5487.0000329
50. H. Son, C. Kim, and C. Kim Knowledge-based approach for 3D reconstruction of as-built industrial plant models from laser-scan data Proceedings of the 30th ISARC, Montréal, Canada 2013 885 893
51. G. Vosselman, and S. Dijkman 3D building model reconstruction from point clouds and ground plans International Archives of Photogrammetry and Remote Sensing, Volume XXXIV-3/W4 Annapolis, MD 2001 (22-24 Oct. 2001)
52. Y. Turkan, F. Bosché, C.T. Haas, and R.G. Haas Tracking of secondary and temporary objects in structural concrete work, emerald, construction innovation: information, process and management 14 2 2014 145 167 10.1108/CI-12-2012-0063
53. F. Bosché, A. Guillemet, Y. Turkan, C.T. Haas, and R.G. Haas Tracking the Built Status of MEP Works: Assessing the Value of a Scan-vs.-BIM System ASCE J. Comput. Civ. Eng. 2014 10.1061/(ASCE)CP.1943-5487.0000343
54. F. Bosche, C. Haas, and B. Akinci Automated recognition of 3D CAD objects in site laser scans for project 3D status visualization and performance control J. Comput. Civ. Eng. 23 2009 311 318 (SPECIAL ISSUE: Graphical 3D Visualization in Architecture, Engineering, and Construction)
55. Hough, P. V. C., 1962. Method, and means for recognizing complex patterns, U.S. Patent 3069654.
56. R.O. Duda, and P.E. Hart Use of the Hough transformation to detect lines and curves in pictures Commun. ACM 15 1972 11 15
57. Z. Cheng, and Y. Liu Efficient technique for ellipse detection using restricted randomized Hough transform Proceedings of the International Conference on Information Technology (ITCC'04) vol. 2 2004 714 718
58. M. van Ginkel, M.A. Kraaijveld, L.J. van Vliet, E.P. Reding, P.W. Verbeek, and H.J. Lammers Robust curve detection using a Radon transform in orientation space Proceedings of the 13th Scandinavian Conference on Image Analysis 2003 125 132
59. M. van Ginkel, C.L. Luengo Hendriks, and L.J. van Vliet A short introduction to the Radon and Hough transforms and how they relate to each other Technical Report No. QI-2004-01 Quantitative Imaging Group, Imaging Science & Technology Department, Faculty of Applied Science 2004 Delft University of Technology
60. P.J. Besl, and R.C. Jain Segmentation through variable-order surface fitting IEEE Trans. Pattern Anal. Mach. Intell. 10 2 1988 167 192
61. H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle Surface reconstruction from unorganized points Proceedings of SIGGRAPH '92, Chicago, Illinois 1992
62. J. Koenderink, and A. van Doorn Surface shape and curvature scales Image and Vision Computing 1992 557 565
63. C. Dorai, and A. Jain COSMOS - a representation scheme for 3D free-form objects IEEE Trans. Pattern Anal. Mach. Intell. 19 10 1997 1115 1130
64. E. Shaffer, and M. Garland Efficient adaptive simplification of massive meshes IEEE Visualization 2001
65. M. Pauly, R. Keiser, and M. Gross Multi-scale feature extraction on point-sampled surfaces Comput. Graph. Forum 22 3 2003 281 289
66. T. Rabbani, F.A. van den Heuvel, and G. Vosselman Segmentation of point clouds using smoothness constraint APRS Volume XXXVI, Part 5, Dresden 25-27 September 2006
67. A. Jagannathan, and E. Miller Three-dimensional surface mesh segmentation using curvedness-based region growing approach IEEE Trans. Pattern Anal. Mach. Intell. 29 12 2007 2195 2204
68. K. Klasing, D. Althoff, D. Wollherr, and M. Buss Comparison of surface normal estimation methods for range sensing applications IEEE Int. Conf. Robot. Autom. 2009 3206 3211
69. J.C. Carr, R.K. Beatson, B.C. McCallum, W.R. Fright, T.J. McLennan, and T.J. Mitchell Smooth surface reconstruction from noisy range data International Conference on Computer Graphics and Interactive Techniques 2003 119 126
70. X. Xiong, A. Adan, B. Akinci, and D. Huber Automatic creation of semantically rich 3D building models from laser scanner data Autom. Constr. 2012 325 337
71. V.F. Leavers Which Hough transform? CVGIP Image Underst. 58 2 1993 250 264
72. T.S. Newman, P.J. Flynn, and A.K. Jain Model-based classification of quadric surfaces CVGIP Image Underst. 58 2 1993 235 249
73. D. Borrmann, J. Elseberg, K. Lingemann, and A. Nüchter The 3D Hough transform for plane detection in point clouds: a review and a new accumulator design 3D Res. 2 2 2011
74. A. Pietrowcew Face detection in colour images using fuzzy Hough transform Opto-Electron. Rev. 11 3 2003 247 251
75. F. Bosché Plane-based coarse registration of 3D laser scans with 4D models Adv. Eng. Inform. 26 2011 90 102
76. C. Kim, H. Son, and C. Kim Fully automated registration of 3D data to a 3D CAD model for project progress monitoring Autom. Constr. 35 2013 587 594