Thomas Czerniawski
TitleCited byYear
Pipe spool recognition in cluttered point clouds using a curvature-based shape descriptor
T Czerniawski, M Nahangi, C Haas, S Walbridge
Automation in Construction 71, 346-358, 2016
242016
Parallel systems and structural frames realignment planning and actuation strategy
M Nahangi, T Czerniawski, CT Haas, S Walbridge, J West
Journal of Computing in Civil Engineering 30 (4), 04015067, 2015
152015
6D DBSCAN-based segmentation of building point clouds for planar object classification
T Czerniawski, B Sankaran, M Nahangi, C Haas, F Leite
Automation in Construction 88, 44-58, 2018
112018
Automated removal of planar clutter from 3D point clouds for improving industrial object recognition
T Czerniawski, M Nahangi, S Walbridge, C Haas
Proceedings of the International Symposium on Automation and Robotics in …, 2016
82016
Current state of interface management in mega-construction projects
S Shokri, S Ahn, T Czerniawski, CT Haas, SH Lee
Construction Research Congress 2014: Construction in a Global Network, 2266-2275, 2014
72014
Automated 3D Shape Detection and Outlier Removal in Cluttered Laser Scans of Industrial Assemblies
M Nahangi, T Czerniawski, CT Haas
Proceedings of the International Conference of Innovation in Construction …, 2015
52015
3DFacilities: annotated 3D reconstructions of building facilities
T Czerniawski, F Leite
Workshop of the European Group for Intelligent Computing in Engineering, 186-200, 2018
42018
Pipe radius estimation using Kinect range cameras
M Nahangi, T Czerniawski, CT Haas, S Walbridge
Automation in construction 99, 197-205, 2019
12019
Automated Pipe Spool Recognition in Cluttered Point Clouds
T Czerniawski
University of Waterloo, 2016
12016
Arbitrary 3D object extraction from cluttered laser scans using local features
M Nahangi, T Czerniawski, C Rausch, C Haas
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2016
12016
Semantic Segmentation of Building Point Clouds Using Deep Learning: A Method for Creating Training Data Using BIM to Point Cloud Label Transfer
T Czerniawski, F Leite
Computing in Civil Engineering 2019: Visualization, Information Modeling …, 2019
2019
AN IMAGE-BASED FRAMEWORK FOR AUTOMATED DISCREPANCY QUANTIFICATION AND REALIGNMENT OF INDUSTRIAL ASSEMBLIES
M Nahangi, T Czerniawski, J Yeung, CT Haas, S Walbridge, J West
AUTOMATED DIMENSIONAL COMPLIANCE ASSESSMENT WITH INCOMPLETE POINT CLOUD
T Czerniawski, M Nahangi, S Walbridge, CT Haas
PIPE RADIUS DETECTION CAPABILITY STUDY OF LOW COST RANGE CAMERA
T Czerniawski, M Nahangi, S Walbridge, CT Haas
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Articles 1–14