Data for "Semi-Automated Indoor Geometry Reconstruction for Daylight Simulation"

This repository contains the I/O data for the project "Semi-Automated Indoor Geometry Reconstruction for Daylight Simulation."

Unzip the content of the zip file in the 'evaluation' sub-folder in the code repository (see references) to have the full data-code package.

Abstract:
This study presents a semi-automated pipeline for reconstructing indoor geometries from point cloud data for daylight simulation. The pipeline generates watertight models of permanent architectural surfaces with window boundaries through three steps: (1) preprocessing, (2) permanent structure reconstruction, and (3) window boundary extraction. The pipeline was evaluated in four rooms of varying complexity against manually reconstructed models, with daylight availability and glare simulations performed in Radiance. Daylight availability results show absolute errors below 10% for UDI, with mean TAI percentage errors within 18% for rooms with rectangular windows and up to 44% for those with non-rectangular windows. The DGP error remains under 4%, and the modelling time does not exceed 5 minutes in any scenario. The approach enables rapid generation of simulation-ready models with acceptable accuracy for CBDM.