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C
Yeung, J. , Nahangi, M. , Shahtaheri, Y. , Haas, C. , Walbridge, S. , & West, J. . (2014). Comparison of methods used for detecting unknown structural elements in three-dimensional point clouds. Construction Research Congress 2014: Construction in a Global Network. Retrieved from https://doi.org/10.1061/9780784413517.097
Seo, J. O. , Alwasel, A. , Lee, S. H. , Abdel-Rahman, E. M. , & Haas, C. . (2019). A comparative study of in-field motion capture approaches for body kinematics measurement in construction. Robotica, 37(5), 928-946. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=1810157740001472542&btnI=1&hl=en
Safa, M. , Sabet, A. , MacGillivray, S. , Davidson, M. , Kaczmarczyk, K. , Gibson, G. E. , Rayside, D. , et al. (2015). Classification of construction projects. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/11560
Sanchez, B. , & Haas, C. . (2018). Capital project planning for a circular economy. Construction Management and Economics, 36(6), 303-312. Retrieved from https://doi.org/10.1080/01446193.2018.1435895
B
Sanchez, B. , Bindal-Gutsche, C. , Hartmann, T. , & Haas, C. . (2020). A building information modeling approach for adaptive reuse building projects. In Construction Research Congress 2020: Infrastructure Systems and Sustainability (pp. 552-561). American Society of Civil Engineers. Retrieved from https://doi.org/10.1061/9780784482858.060
Rausch, C. , Edwards, C. , & Haas, C. . (2020). Benchmarking and improving dimensional quality on modular construction projects–A case study. International Journal of Industrialized Construction, 1(1), 2-21. Retrieved from https://doi.org/10.29173/ijic212 benchmarking_and_improving_dimensional_quality_on_modular_construction_projects-a_case_study.pdf
Ganjidoost, A. , Knight, M. A. , Unger, A. J. A. , & Haas, C. T. . (2018). Benchmark performance indicators for utility water and wastewater pipelines infrastructure. Journal of Water Resources Planning and Management, 144(3), 04018003. Retrieved from https://doi.org/10.1061/(ASCE)WR.1943-5452.0000890 Benchmark-Performance-Indicators-for-Utility-Water-and-Wastewater-Pipelines-Infrastructure.pdf
Duflos, E. , Vanheeghe, P. , Razavi, S. N. , & Haas, C. . (2010). Belief function based algorithm for material detection and tracking in construction. Proc., Workshop on the Theory of Belief Functions. Retrieved from https://bfasociety.org/Belief2010/html/papers/p81.pdf
A
Ahmed, M. , Haas, C. T. , & Haas, R. . (2013). Autonomous modeling of pipes within point clouds. ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 30(1). Retrieved from https://d1wqtxts1xzle7.cloudfront.net/40429675/AUTONOMOUS_MODELING_OF_PIPES_WITHIN_POIN20151127-26786-ktzdbe.pdf?1448636234=&response-content-disposition=inline%3B+filename%3DAutonomous_Modeling_of_Pipes_within_Poin.pdf&Expires=1618430672&Signature=KOYoD1
Song, J. , Haas, C. , Caldas, C. , Ergen, E. , & Akinci, B. . (2006). Automating The Task of Tracking the Delivery and Receipt of Fabricated Pipe Spools in Industrial Projects. Automation in Construction, Vol. 15/2, pp 166-177.
Safa, M. , Shahi, A. , Nahangi, M. , Haas, C. , & Noori, H. . (2015). Automating measurement process to improve quality management for piping fabrication. Structures, 3, 71-80. Retrieved from https://doi.org/10.1016/j.istruc.2015.03.003
Nahangi, M. , Haas, C. T. , West, J. , & Walbridge, S. . (2016). Automatic realignment of defective assemblies using an inverse kinematics analogy. Journal of Computing in Civil Engineering, 30(2). Retrieved from https://doi.org/10.1061/(ASCE)CP.1943-5487.0000477
Ahmed, M. Fouad, Haas, C. T. , & Haas, R. . (2014). Automatic detection of cylindrical objects in built facilities. Journal of computing in Civil Engineering, 28(3). Retrieved from https://doi.org/10.1061/(ASCE)CP.1943-5487.0000329
Ahmed, M. , Haas, R. , & Haas, C. . (2013). Automatic Detection of Cylindrical Objects in Built Facilities. Computing in Civil Engineering, 28 (3), 04014009.
Rausch, C. , & Haas, C. . (2021). Automated shape and pose updating of building information model elements from 3D point clouds. Automation in Construction, 124, 103561. Retrieved from https://doi.org/10.1016/j.autcon.2021.103561
Bosche, F. N. , & Haas, C. T. . (2008). Automated retrieval of project three-dimensional CAD objects in range point clouds to support automated dimensional QA/QC. Journal of Information Technology in Construction, 13(6), 71-85. Retrieved from https://www.researchgate.net/profile/Frederic-Bosche/publication/238623222_Automated_retrieval_of_project_three-dimensional_CAD_objects_in_range_point_clouds_to_support_automated_dimensional_QAQC/links/0deec528201db223e9000000/Automated-retrieval-of-proje
Bosché, F. , & Haas, C. T. . (2008). Automated retrieval of 3D CAD model objects in construction range images. Automation in Construction, 17(4), 499-512. Retrieved from https://doi.org/10.1016/j.autcon.2007.09.001
Bosche, F. , & Haas, C. T. . (2008). Automated Retrieval of 3D CAD Model Objects in Construction 3D Images. Journal of Automation in Construction, Elsevier, New-York, USA, Volume 17, Issue 4, pp 499-512.
Czerniawski, T. , Nahangi, M. , Walbridge, S. , & Haas, C. . (2016). Automated removal of planar clutter from 3D point clouds for improving industrial object recognition. ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 33, 1. Retrieved from https://www.semanticscholar.org/paper/Automated-Removal-of-Planar-Clutter-from-3D-Point-Czerniawski-Nahangi/48dace3eaf75d2030ebf7070bebeb899b78b16b1?p2df
Nahangi, M. , Safa, M. , Shahi, A. , & Haas, C. T. . (2014). Automated registration of 3D point clouds with 3D CAD models for remote assessment of staged fabrication. In Construction Research Congress 2014: Construction in a Global Network (pp. 1004-1013). Retrieved from https://doi.org/10.1061/9780784413517.103

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