Journal of Information Technology in Construction
Journal of Information Technology in Construction
ITcon Vol. 30, pg. 989-1016, http://www.itcon.org/2025/40
Automated Bottom-Up, Top-Down Method for Creating Digital Staircase Models from Dense Point Clouds Using Parametric Prototype Models and Model Fitting
| DOI: | 10.36680/j.itcon.2025.040 | |
| submitted: | March 2025 | |
| revised: | May 2025 | |
| published: | June 2025 | |
| editor(s): | Robert Amor | |
| authors: | Mansour Mehranfar, M.Sc.
Chair of Computing in Civil and Building Engineering, TUM Georg Nemetschek Institute – AI for the Built World, Technical University of Munich, Germany mansour.mehranfar@tum.de Alexander Braun, Dr.-Ing. Chair of Computing in Civil and Building Engineering, TUM Georg Nemetschek Institute – AI for the Built World, Technical University of Munich, Germany alex.braun@tum.de André Borrmann, Prof. Dr.-Ing. Chair of Computing in Civil and Building Engineering, TUM Georg Nemetschek Institute – AI for the Built World, Technical University of Munich, Germany andre.borrmann@tum.de Yelda Turkan, Prof. School of Civil and Construction Engineering, Oregon State University, USA yelda.turkan@oregonstate.edu | |
| summary: | Digital building models have become a transformative tool in the management and monitoring of assets in the built world. Laser scanners are valuable tools for creating digital building models through Scan-to-BIM algorithms, capturing the as-built status of the environment in the form of point clouds. However, a main challenge persists in the automated creation of digital models from these point clouds, providing both coherent geometry, and semantics. Staircase elements are vital in multilevel buildings, facilitating essential vertical movement and serving as crucial emergency evacuation routes. This paper proposes a hybrid bottom-up, top-down approach for the automatic creation of digital staircase models using laser scanner point clouds. The workflow involves separating staircase points, designing parametric models, and model fitting through optimization. The proposed method is validated using eight real laser scanning point clouds containing highly diverse stair configurations. The results demonstrate the effectiveness of the proposed method in automatically creating high-quality digital staircase models with coherent geometry. | |
| keywords: | Digital model, Laser scanner, Scan-to-BIM, Point cloud, Bottom-up, Top-down approach, Model fitting | |
| full text: | (PDF file, 2.379 MB) | |
| citation: | Mehranfar M, Braun A, Borrman A, Turkan Y (2025). Automated Bottom-Up, Top-Down Method for Creating Digital Staircase Models from Dense Point Clouds Using Parametric Prototype Models and Model Fitting, ITcon Vol. 30, pg. 989-1016, https://doi.org/10.36680/j.itcon.2025.040 | |
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