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A
Zhang, L. , Diraneyya, M. M. , Ryu, J. , Haas, C. T. , & Abdel-Rahman, E. . (2019). Automated monitoring of physical fatigue using jerk. 36th International Symposium on Automation and Robotics in Construction. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=8104722556075343&btnI=1&hl=en Automated-Monitoring-of-Physical-Fatigue-Using-Jerk.pdf
Turkan, Y. , Bosche, F. , Haas, C. T. , & Haas, R. . (2011). Automated progress tracking of erection of concrete structures. Annual Conference of the Canadian Society for Civil Engineering, 2746-2756. Retrieved from https://d1wqtxts1xzle7.cloudfront.net/5279938/Automated_Progress_Tracking_of_Erection_of_Concrete_Structures_-_Turkan_et_al.pdf?response-content-disposition=inline%3B+filename%3DAutomated_Progress_Tracking_of_Erection.pdf&Expires=1618601575&Signature=apS
Turkan, Y. , Bosche, F. , Haas, C. T. , & Haas, R. . (2012). Automated progress tracking using 4D schedule and 3D sensing technologies. Automation in construction, 22, 414-421. Retrieved from https://doi.org/10.1016/j.autcon.2011.10.003
Turkan, Y. , Bosche, F. , Haas, R. , & Haas, C. . (2012). Automated Progress Tracking Using 4D Schedule and 3D Sensing Technologies. Automation in Construction 22 , pp. 414-421.
Kim, H. , Rauch, A. F. , & Haas, C. . (2004). Automated Quality Assessment of Stone Aggregates Based on Laser Imaging and a Neural Network. ASCE Journal of Computing in Civil Engineering, vol. 18, issue 1, pp. 58-64.
Bosche, F. , Haas, C. T. , & Akinci, B. . (2009). Automated recognition of 3D CAD objects in site laser scans for project 3D status visualization and performance control. Journal of Computing in Civil Engineering, 23(6), 311-318. Retrieved from https://doi.org/10.1061/(ASCE)0887-3801(2009)23:6(311)
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
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
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.
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. 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
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
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.
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
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
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.
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
B
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
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

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