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Rohbau3D: A Shell Construction Site 3D Point Cloud Dataset.

Lukas Rauch1, Thomas Braml2

  • 1Institute of Structural Engineering, University of the Bundeswehr Munich, Munich, Germany. lukas.rauch@unibw.de.

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This summary is machine-generated.

Rohbau3D is a new dataset of 3D point clouds from indoor construction sites. This large-scale, real-world data supports research in geometric processing and computer vision for structural and civil engineering.

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Area of Science:

  • Civil Engineering
  • Computer Vision
  • Geometric Processing

Background:

  • Limited availability of real-world 3D data for construction environments hinders research.
  • Existing datasets often lack the complexity and scale required for advanced geometric processing tasks.

Purpose of the Study:

  • Introduce Rohbau3D, a novel dataset of 3D point clouds for indoor construction.
  • Address the shortage of real-world data for geometric processing in construction.
  • Facilitate research in scene understanding and computer vision for structural and civil engineering.

Main Methods:

  • Collected 504 high-resolution LiDAR scans from 14 distinct construction sites.
  • Scans represent various stages of shell construction and renovation in high-rise buildings.
  • Data includes scalar laser reflectance intensity, RGB color values, surface normals, and 2D panoramic renderings.

Main Results:

  • Rohbau3D is the first dataset of its kind and scale for construction environments.
  • The dataset captures the complexity and variability of real-world construction sites.
  • Enriched point clouds with intensity, color, and surface normals.

Conclusions:

  • Rohbau3D provides a foundational resource for advancing geometric processing and computer vision in construction.
  • The dataset is intended for ongoing work, future annotations, and benchmarking.
  • Enables new research avenues in structural and civil engineering applications.