LivingBIM Dataset: As-Designed and As-Built Dataset for an Academic Building Including BIM 3D Models, Point Clouds, and Panoramic Images
Publication: Computing in Civil Engineering 2023
ABSTRACT
The availability of 3D datasets is crucial for the development and testing of scan-vs-BIM and scan-to-BIM solutions, which are active fields of research in the architecture, engineering, and construction (AEC) research community. However, most of the publicly available datasets do not include building information models (BIM)—currently a common practice in the AEC industry—nor laser scanner-generated point cloud datasets. To address this gap, this research presents LivingBIM, a dataset of a recently constructed academic building that includes as-designed BIM models, as-built 3D point clouds, semantically segmented 3D point clouds, and panoramic images for a single facility. Moreover, this dataset includes mechanical and electrical rooms to represent some of the geometric complexities in AEC projects. The availability of this dataset can enhance the development and testing of ML models and other algorithms for the AEC industry.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Alsuhaibani, A., Rojas, J., Leffel, C., Ma, J. W., and Leite, F. (2023). LivingBIM Dataset: As-designed and As-built Dataset for an Academic Building including BIM 3d models, Point Clouds, and Panoramic Images [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7766787.
Armeni, I., Sax, S., Zamir, A. R., and Savarese, S. (2017). Joint 2d-3d-semantic data for indoor scene understanding.
Bhadaniya, P., Reja, V. K., and Varghese, K. (2021). Mixed Reality-Based Dataset Generation for Learning-Based Scan-to-BIM. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Proceedings, Part VII, 389–403.
Bosché, F., Ahmed, M., Turkan, Y., Haas, C. T., and Haas, R. (2015). 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. Automation in Construction, 49, 201–213.
Chang, A., Dai, A., Funkhouser, T., Halber, M., Niessner, M., Savva, M., Song, S., Zeng, A., and Zhang, Y. (2017). Matterport3d: Learning from rgb-d data in indoor environments.
Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., and Su, H. (2015). Shapenet: An information-rich 3d model repository.
Choi, S., Zhou, Q.-Y., Miller, S., and Koltun, V. (2016). A large dataset of object scans.
Czerniawski, T., and Leite, L. (2018). “3DFacilities: Annotated 3D Reconstructions of Building Facilities”. In: Lecture Notes in Computer Science: Advanced Computing Strategies for Engineering. 25th EG-ICE International Workshop 2018, Lausanne, Switzerland, June 10-13, Proceedings, Part I. Smith, I.F.C.; Domer, B. (Ed.), pp. 186–200, Springer. DOI: https://doi.org/10.1007/978-3-319-91635-4_10.
Czerniawski, T., Ma, J. W., and Leite, F. (2021). Automated building change detection with amodal completion of point clouds. Automation in Construction, 124, 103568.
Eastman, C. M., Teicholz, P., Sacks, R., and Liston, K. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.
Geiger, A., Lenz, P., Stiller, C., and Urtasun, R. (2013). Vision meets Robotics: The KITTI Dataset. International Journal of Robotics Research (IJRR).
Hackel, T., Savinov, N., Ladicky, L., Wegner, J. D., Schindler, K., and Pollefeys, M. (2017). Semantic3d. Net: A new large-scale point cloud classification benchmark.
Industry Foundation Classes. (n.d.). https://www.buildingsmart.org/standards/ifc/.
Jiang, Z., Shen, X., Ibrahimkhil, M., Barati, K., and Linke, J. (2022). Scan-VS-BIM for real-time progress monitoring of bridge construction project. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 10.
Justo, A., Lamas, D., Sánchez-Rodríguez, A., Soilán, M., and Riveiro, B. (2023). Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds. Automation in Construction, 149, 104786.
Ma, J. W., Czerniawski, T., and Leite, F. (2022). Automated scan-to-building information modeling. In Research Companion to Building Information Modeling (pp. 169–189). Edward Elgar Publishing.
Rocha, G., Mateus, L., Fernández, J., and Ferreira, V. (2020). A scan-to-BIM methodology applied to heritage buildings. Heritage, 3(1), 47–67.
Zheng, J., Zhang, J., Li, J., Tang, R., Gao, S., and Zhou, Z. (2020). Structured3d: A large photo-realistic dataset for structured 3d modeling. Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IX 16, 519–535.
Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 672 - 679
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Architectural engineering
- Building information modeling
- Building management
- Buildings
- Colleges and universities
- Computer networks
- Computer vision and image processing
- Computing in civil engineering
- Construction engineering
- Education
- Engineering fundamentals
- Methodology (by type)
- Models (by type)
- Practice and Profession
- Structural engineering
- Structures (by type)
- Three-dimensional models
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.