Google Scholar
Refereed journal articles
Refereed journal articles
Korus, K., Czerniawski, T., Salamak, M. (under review) DynamoPCSim: A visual programming simulator for producing realistic labeled point clouds from digital infrastructure models. Automation in Construction.
Gupta, M., Wei, C., Czerniawski, T. (under review). Symbol detection in process and instrumentation diagrams. Automation in Construction.
Wei, C., Gupta, M., Czerniawski, T. (under review). Converting 2D floor plans to digital 3D models using deep learning: Comparison of object detection and instance segmentation. Computing in Civil Engineering.
Czerniawski, T., Ma, J. W., Leite, F. (2021). Automated building change detection with amodal completion of point clouds. Automation in Construction, 124, 103568, https://doi.org/10.1016/j.autcon.2021.103568.
Ma, J.W., Czerniawski, T., Leite, F. (2021). An application of metadata-based image retrieval system for facility management. Advanced Engineering Informatics, https://doi.org/10.1016/j.aei.2021.101417
Czerniawski, T., & Leite, F. (2020). Automated segmentation of RGB-D images into a comprehensive set of building components using deep learning. Advanced Engineering Informatics, 45, 101131, https://doi.org/10.1016/j.aei.2020.101131.
Czerniawski, T., Leite, F. (2020) Automated digital modeling of existing buildings: A review of visual object recognition methods. Automation in Construction, 113, 103131, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2020.103131.
Ma, J. W., Czerniawski, T., Leite, F. (2020) Semantic Segmentation of Point Clouds of Building Interiors with Deep Learning: Augmenting Training Datasets with Synthetic BIM-based Point Clouds, Automation in Construction, 113, 103144, https://doi.org/10.1016/j.autcon.2020.103144.
Nahangi, M., Czerniawski, T., Haas, C., & Walbridge, S. (2019). Pipe radius estimation using Kinect range cameras. Automation in Construction, Volume 99, March 2019, Pages 197-205, https://doi.org/10.1016/j.autcon.2018.12.015.
Czerniawski, T., Sankaran, B., Nahangi, M., Haas, C., Leite, F. (2018) 6D DBSCAN-based segmentation of building point clouds for planar object classification. Automation in Construction, Volume 88, April 2018, Pages 44-58, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2017.12.029.
Czerniawski, T., Nahangi, M., Haas, C., & Walbridge, S. (2016). Pipe spool recognition in cluttered point clouds using a curvature-based shape descriptor. Automation in Construction, Volume 71, Part 2, 2016, Pages 346-358, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2016.08.011.
Nahangi, M., Czerniawski, T., Haas, C., Walbridge, S., & West, J. (2015). Parallel systems and structural frames realignment planning and actuation strategy. Journal of Computing in Civil Engineering, 04015067. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000545.
Book chapters & Industry reports
Czerniawski, T., (2023) “360-Photo Management for Electrical Contractors”. Electri International
Ma, J.W., Czerniawski, T., Leite, F. (2022). Chapter 9: Automated scan-to-building information modeling. In: Lu, W., and Anumba C. J. (eds) Research Companion to Building Information Modeling. Elgar Companions to the Built Environment series, https://doi.org/10.4337/9781839105524
Czerniawski, T., Eklund, M., Kuhlmann, J., Leite, F., Nikulin, M., Shumate, J. (2020). “Challenge teams: An innovative path the future”. Construction Industry Institute Report FR-TC-04, https://www.construction-institute.org/resources/knowledgebase/knowledge-areas/construction-technology/topics/rt-tc-04
Czerniawski T., Leite F. (2018). “3DFacilities: Annotated 3D Reconstructions of Building Facilities”. In: Smith I., Domer B. (eds) Advanced Computing Strategies for Engineering. EG-ICE 2018. Lecture Notes in Computer Science, vol 10863. Springer, Cham, https://doi.org/10.1007/978-3-319-91635-4_10
Refereed conference proceedings
Czerniawski, T. (2023). Deep learning automation risk: Identifying object detection failure modes using slice-based evaluation. Proceedings of the ASCE International Conference on Computing in Civil Engineering, I3CE 2023, Corvallis, Oregon, US, June 25-28.
Gupta, M., Borrmann, A., Czerniawski, T. (2023). Comparison of 3D reconstruction between Neural Radiance Fields and Structure-from-Motion based photogrammetry from 360º videos. Proceedings of the ASCE International Conference on Computing in Civil Engineering, I3CE 2023, Corvallis, Oregon, US, June 25-28.
Wei, C., Czerniawski, T. (2023). Plan-View Wall Detection for Indoor Point Clouds using Weak Supervision. Proceedings of the ASCE International Conference on Computing in Civil Engineering, I3CE 2023, Corvallis, Oregon, US, June 25-28.
Gupta, M., Wei, C., Czerniawski, T. (2022). Automated Valve Detection in Piping and Instrumentation (P&ID) Diagrams. Proceedings of 39th International Symposium on Automation and Robotics in Construction, ISARC 2022, Bogota, Columbia, July 12-15.
Wei, C., Gupta, M., Czerniawski, T. (2022). Automated Wall Detection in 2D CAD Drawings to Create Digital 3D Models. Proceedings of 39th International Symposium on Automation and Robotics in Construction, ISARC 2022, Bogota, Columbia, July 12-15.
Czerniawski, T., Ma, J. W., Leite, F. (2020). “Metadata-based photo filtering for facility management”. Proceedings of EG-ICE2020: 27TH International Workshop on Intelligent Computing in Engineering. Online. July 01 – July 4.
Czerniawski, T., Leite, F. (2019). “Semantic Segmentation of Images of Building Facilities”. Proceedings of EG-ICE2019: 26TH International Workshop on Intelligent Computing in Engineering. KU Leuven, Leuven, Belgium. June 30 – July 3.
Czerniawski, T., Leite, F. (2019). “Semantic Segmentation of Building Point Clouds Using Deep Learning: A Method for Creating Training Data Using BIM to Point Cloud Label Transfer”. Proceedings of I3CE2019: The 2019 ASCE International Conference on Computing in Civil Engineering (pp. 410-416). Georgia Institute of Technology, Georgia, USA. June 17-19.
Czerniawski, T., Nahangi, M., Walbridge, S., & Haas, C. T. (2016). “Automated Removal of Planar Clutter from 3D Point Clouds for Improving Industrial Object Recognition”. Proceedings of ISARC2016: the 33rd International Symposium on Automation and Robotics in Construction, Auburn University, Alabama, USA. July 18-21.
Czerniawski, T., Nahangi, M., Walbridge, S., & Haas, C. T. (2015). “Automated dimensional compliance assessment with incomplete point clouds”. Proceedings of ICSC15: The Canadian Society for Civil Engineering 5th International/11th Construction Specialty Conference, University of British Columbia, Vancouver, Canada. June 7-10.
Czerniawski, T., Nahangi, M., Walbridge, S., Haas, C. (2015). “Pipe radius detection capability study of low cost range camera”. Proceedings of CONVR 2015: 15th International Conference on Construction Application of Virtual Reality, Banff, Alberta, Canada. Oct 5-7.
Nahangi, M., Czerniawski, T., Yeung, J., Haas, C. T., Walbridge, S., & West, J. (2015). “An image-based frameworks for automated discrepancy quantification and realignment of industrial assemblies”. Proceedings of ICSC15: The Canadian Society for Civil Engineering 5th International/11th Construction Specialty Conference, University of British Columbia, Vancouver, Canada. June 7-10.
Nahangi, M., Czerniawski, T., & Haas, C. T. (2015). “Automated 3D Shape Detection and Outlier Removal in Cluttered Laser Scans of Industrial Assemblies”. Proceedings of CIGOS 2015: International Conference of Innovation in Construction, Paris, France.
Shokri, S., Ahn, S., Czerniawski, T., Haas, C. T., & Lee, S. H. (2014). “Current State of Interface Management in Mega-construction Projects”. In Construction Research Congress 2014@ Construction in a Global Network (pp. 2266-2275). ASCE.
