Rohbau3D: A Shell Construction Site 3D Point Cloud Dataset

We introduce Rohbau3D, a novel dataset of 3D point clouds that realistically represents indoor construction environments. The dataset comprises 504 high-resolution LiDAR scans captured with a terrestrial laser scanner across 14 distinct construction sites from high-rise buildings, all in various stages of shell construction or under renovation. Each point cloud is enriched with the scalar laser reflectance intensity, RGB color values, and reconstructed surface normal vectors. In addition to the 3D data, the dataset includes high-resolution 2D panoramic renderings of each scene and their associated point cloud features. Designed to reflect the complexity and variability of construction site data and released to address the shortage of real-world data for geometric processing in construction applications, Rohbau3D facilitates research into scene understanding and computer vision for structural and civil engineering. To our knowledge, it is the first dataset of its kind and scale to be published. Rohbau3D is designed as a foundation for ongoing work, with intention to extend it through additional targeted annotations and as a benchmark to support future research.

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Publication Details

Journal
Scientific Data
Published
2025-08-25
DOI
https://doi.org/10.1038/s41597-025-05827-7
Citations
1
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
2.35
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article

Rohbau3D: A Shell Construction Site 3D Point Cloud Dataset

Lukas Rauch, Thomas Braml
1 citations
Scientific Data
3D Surveying and Cultural Heritage
2.35
article

Rohbau3D: A Shell Construction Site 3D Point Cloud Dataset

Lukas Rauch, Thomas Braml
article en
1 citations

Abstract

We introduce Rohbau3D, a novel dataset of 3D point clouds that realistically represents indoor construction environments. The dataset comprises 504 high-resolution LiDAR scans captured with a terrestrial laser scanner across 14 distinct construction sites from high-rise buildings, all in various stages of shell construction or under renovation. Each point cloud is enriched with the scalar laser reflectance intensity, RGB color values, and reconstructed surface normal vectors. In addition to the 3D data, the dataset includes high-resolution 2D panoramic renderings of each scene and their associated point cloud features. Designed to reflect the complexity and variability of construction site data and released to address the shortage of real-world data for geometric processing in construction applications, Rohbau3D facilitates research into scene understanding and computer vision for structural and civil engineering. To our knowledge, it is the first dataset of its kind and scale to be published. Rohbau3D is designed as a foundation for ongoing work, with intention to extend it through additional targeted annotations and as a benchmark to support future research.

Scientific DataVol. 12(1)
Universität der Bundeswehr München (DE)
Openalex Percentile: Top 11%
3D Surveying and Cultural Heritage
2.35
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