Automated assembly discrepancy feedback using 3D imaging and forward kinematics

Automation in Construction

Volumn 56, Issue , 2015, Pages 36-46

  Nahangi, Mohammad ^a   Yeung, Jamie ^a   Haas, Carl T ^a   Walbridge, Scott ^a   West, Jeffrey ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

3D imaging; Deviation analysis; Fabrication error; Laser scanning; Pipe spools; Pipelines; Realignment feedback; Refit and plumbness; Robotic forward kinematics

Indexed keywords

IMAGING SYSTEMS; PIPELINES; PIPING SYSTEMS; ROBOTICS;

3D IMAGING; DEVIATION ANALYSIS; FABRICATION ERRORS; FORWARD KINEMATICS; LASER SCANNING; PIPE SPOOL; REFIT AND PLUMBNESS;

KINEMATICS;

EID: 84929075462     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2015.04.005     Document Type: Article

References (61)

1. E. Sarah Slaughter, and M. Eraso Simulation of structural steel erection to assess innovations IEEE Trans. Eng. Manag. 44 1997 196 207
2. E.K. Simpeh, R. Ndihokubwayo, and P.E. Love Evaluating the direct and indirect costs of rework 8th ICEC World Congress 2012
3. P. Love Influence of project type and procurement method on rework costs in building construction projects J. Constr. Eng. Manag. 128 2002 18 29
4. P.E.D. Love, Z. Irani, and D.J. Edwards A rework reduction model for construction projects IEEE Trans. Eng. Manag. 51 2004 426 440
5. B. Akinci, F. Boukamp, C. Gordon, D. Huber, C. Lyons, and K. Park A formalism for utilization of sensor systems and integrated project models for active construction quality control Autom. Constr. 15 2006 124 138
6. D. Arditi, and H.M. Gunaydin Total quality management in the construction process Int. J. Proj. Manag. 15 1997 235 243
7. AISC Code of Standard Practice for Steel Buildings and Bridges 2005 American Institute of Steel Construction Chicago, Illinois
8. C.T. Haas, and W.R. Fagerlund Preliminary Research on Prefabrication, Pre-assembly, Modularization and Off-Site Fabrication in Construction 2002 Construction Industry Institute (CII), University of Texas at Austin Austin, Texas
9. B. Hwang, S.R. Thomas, C.T. Haas, and C.H. Caldas Measuring the impact of rework on construction cost performance J. Constr. Eng. Manag. 135 2009 187 198
10. M. Nahangi, M. Safa, A. Shahi, and C. Haas Automated registration of 3D point clouds with 3D CAD models for remote assessment of staged fabrication ASCE Construction Research Congress 2014 1004 1013
11. 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
12. H. Fathi, and I. Brilakis A videogrammetric as-built data collection method for digital fabrication of sheet metal roof panels Adv. Eng. Inform. 27 2013 466 476
13. 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 2010 829 843
14. A. Bhatla, S.Y. Choe, O. Fierro, and F. Leite Evaluation of accuracy of as-built 3D modeling from photos taken by handheld digital cameras Autom. Constr. 28 2012 116 127
15. 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
16. M. Golparvar-Fard, F. Pena-Mora, C.A. Arboleda, and S. Lee Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs J. Comput. Civ. Eng. 23 2009 391 404
17. F. Bosche, and C.T. Haas Automated retrieval of 3D CAD model objects in construction range images Autom. Constr. 17 2008 499 512
18. T. Rabbani, S. Dijkman, F. van den Heuvel, and G. Vosselman An integrated approach for modelling and global registration of point clouds ISPRS J. Photogramm. Remote Sens. 61 2007 355 370
19. J. Abeid, and D. Arditi Time-lapse digital photography applied to project management J. Constr. Eng. Manag. 128 2002 530 535
20. M. Ahmed, C.T. Haas, and R. Haas Using digital photogrammetry for pipe-works progress tracking Can. J. Civ. Eng. 39 2012 1062 1071
21. A. Rashidi, I. Brilakis, and P. Vela Generating absolute-scale point cloud data of built infrastructure scenes using a monocular camera setting J. Comput. Civ. Eng. 2014 10.1061/(ASCE)CP.1943-5487.0000414
22. I. Brilakis, H. Fathi, and A. Rashidi Progressive 3D reconstruction of infrastructure with videogrammetry Autom. Constr. 20 2011 884 895
23. A. Rashidi, F. Dai, I. Brilakis, and P. Vela Optimized selection of key frames for monocular videogrammetric surveying of civil infrastructure Adv. Eng. Inform. 27 2013 270 282
24. J. Teizer 3D range imaging camera sensing for active safety in construction Electron. J. Inf. Technol. Constr. 13 2008 103 117
25. M. Golparvar-Fard, J. Bohn, J. Teizer, S. Savarese, and F. Peña-Mora Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques Autom. Constr. 20 2011 1143 1155
26. F. Dai, A. Rashidi, I. Brilakis, and P. Vela Comparison of image-based and time-of-flight-based technologies for three-dimensional reconstruction of infrastructure J. Constr. Eng. Manag. 139 2013 69 79
27. C. Kim, C. Kim, and H. Son Automated construction progress measurement using a 4D building information model and 3D data Autom. Constr. 31 2013 75 82
28. M. Nahangi, and C.T. Haas Automated 3D compliance checking in pipe spool fabrication Adv. Eng. Inform. 28 2014 360 369
29. Z. Zhu, and I. Brilakis Machine vision-based concrete surface quality assessment J. Constr. Eng. Manag. 136 2010 210 218
30. F. Bosché, and E. Guenet Automating surface flatness control using terrestrial laser scanning and building information models Autom. Constr. 44 2014 212 226
31. M.R. Jahanshahi, S.F. Masri, and G.S. Sukhatme Multi-image stitching and scene reconstruction for evaluating defect evolution in structures Struct. Health Monit. 10 2011 643 657
32. S. Chi, and C. Caldas Image-based safety assessment: automated spatial safety risk identification of earthmoving and surface mining activities J. Constr. Eng. Manag. 138 2012 341 351
33. M. Ahmed, C. Haas, and R. Haas Automatic detection of cylindrical objects in built facilities J. Comput. Civ. Eng. 04014009 2014
34. L. Klein, N. Li, and B. Becerik-Gerber Imaged-based verification of as-built documentation of operational buildings Autom. Constr. 21 2012 161 171
35. I.K. Brilakis, and L. Soibelman Shape-based retrieval of construction site photographs J. Comput. Civ. Eng. 22 2008 14 20
36. J. Salvi, C. Matabosch, D. Fofi, and J. Forest A review of recent range image registration methods with accuracy evaluation Image Vis. Comput. 25 2007 578 596
37. 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
38. F. Bosché Plane-based registration of construction laser scans with 3D/4D building models Adv. Eng. Inform. 26 2012 90 102
39. F. Bosché, A. Guillemet, Y. Turkan, C.T. Haas, and R. Haas Tracking the built status of MEP works: assessing the value of a Scan-vs-BIM system J. Comput. Civ. Eng. 28 2014
40. H. Son, C. Kim, and C. Kim Fully automated as-built 3D pipeline segmentation based on curvature computation from laser-scanned data, Computing in Civil Engineering Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering 2013 765 772
41. C. Kim, H. Son, and C. Kim Knowledge-based approach for 3D reconstruction of as-built industrial plant models from laser-scan data ISARC 2013 - 30th International Symposium on Automation and Robotics in Construction and Mining, Held in Conjunction with the 23rd World Mining Congress 2013 885 893
42. 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
43. X. Wang, M. Truijens, L. Hou, Y. Wang, and Y. Zhou Integrating Augmented Reality with Building Information Modeling: onsite construction process controlling for liquefied natural gas industry Autom. Constr. 40 2014 96 105
44. F. Bosché, M. Ahmed, Y. Turkan, C.T. Haas, and R. Haas 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 Autom. Constr 49 2015 201 213
45. E.B. Anil, P. Tang, B. Akinci, and D. Huber Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data Autom. Constr. 35 2013 507 516
46. T. Bock Construction robotics Auton. Robot. 22 2007 201 209
47. C. Haas, M. Skibniewski, and E. Budny Robotics in civil engineering Microcomput. Civ. Eng. 10 1995 371 381
48. M. Skibniewski, and C. Hendrickson Automation and robotics for road construction and maintenance J. Transp. Eng. 116 1990 261 271
49. M.J. Skibniewski, and J.S. Russell Robotic Applications to Construction, Cost Engineering (Morgantown, West Virginia) 31 1989 10 18
50. Y.K. Cho, and C.T. Haas Rapid geometric modeling for unstructured construction workspaces Comput. Aided Civ. Infrastruct. Eng. 18 2003 242 253
51. Y.K. Cho, C.T. Haas, K. Liapi, and S.V. Sreenivasan A framework for rapid local area modeling for construction automation Autom. Constr. 11 2002 629 641
52. FaroARM Measuring arm FaroArm - overview - portable measuring solutions from FARO http://www.faro.com/en-us/products/metrology/measuring-arm-faroarm/overview#main 2014 (March 13, 2014)
53. J.J. Craig Inverse manipulator kinematics Anonymous Introduction to Robotics Mechanics and Control Second ed. 1989 Addison Wesley 113
54. Y.K. Cho, C.T. Haas, S.V. Sreenivasan, and K. Liapi Position error modeling for automated construction manipulators J. Constr. Eng. Manag. 130 2004 50 58
55. J. Denavit, and R.S. Hartenberg A kinematic notation for lower-pair mechanisms based on matrices J. Appl. Mech. 1955 215 221
56. B. Zitová, and J. Flusser Image registration methods: a survey Image Vis. Comput. 21 2003 977 1000
57. P.J. Besl, and H.D. McKay A method for registration of 3-D shapes IEEE Trans. Pattern Anal. Mach. Intell. 14 1992 239 256
58. H. Kjer, and J. Wilm Evaluation of Surface Registration Algorithms for PET Motion Correction (Bachelor dissertation) 2010 Technical University of Denmark
59. FARO Designed for high performance: the FARO Laser Scanner LS http://www2.faro.com/FaroIP/Files/File/Techsheets%20Download/SEA-Laserscanner840&880.pdf 2014 (April 8, 2014)
60. FARO FARO Laser Scanner LS 840/880 http://www2.faro.com/FaroIP/Files/File/Techsheets%20Download/IN-LS880.pdf 2014 (April 8, 2014)
61. S. 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 2004 67 81