IoC3D: A Multi-Scenario 3D Point Cloud Dataset for Semantic Target Extraction and Construction Progress Monitoring via Scan-to-BIM Verification
- DOI
- 10.5281/zenodo.20386113
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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BibTeX
@article{allodium:10.5281/zenodo.20386113,
title = {IoC3D: A Multi-Scenario 3D Point Cloud Dataset for Semantic Target Extraction and Construction Progress Monitoring via Scan-to-BIM Verification},
author = {Fahrendholz-Heiermann, Jan Luca and Adams, Thomas and Wildemann, Peter Richard and Kirner, Lukas and Zöcklein, Marit and Brell-Cokcan, Sigrid and Construction Robotics GmbH and RWTH Aachen University},
year = {2026},
doi = {10.5281/zenodo.20386113},
url = {https://doi.org/10.5281/zenodo.20386113}
}RIS
TY - JOUR TI - IoC3D: A Multi-Scenario 3D Point Cloud Dataset for Semantic Target Extraction and Construction Progress Monitoring via Scan-to-BIM Verification AU - Fahrendholz-Heiermann, Jan Luca AU - Adams, Thomas AU - Wildemann, Peter Richard AU - Kirner, Lukas AU - Zöcklein, Marit AU - Brell-Cokcan, Sigrid AU - Construction Robotics GmbH AU - RWTH Aachen University PY - 2026 DO - 10.5281/zenodo.20386113 UR - https://doi.org/10.5281/zenodo.20386113 ER -
APA
Luca, F. J., Thomas, A., Richard, W. P., Lukas, K., Marit, Z., Sigrid, B., GmbH, C. R., & University, R. A. (2026). IoC3D: A Multi-Scenario 3D Point Cloud Dataset for Semantic Target Extraction and Construction Progress Monitoring via Scan-to-BIM Verification. https://doi.org/10.5281/zenodo.20386113