Abstract
In the architecture, engineering, and construction (AEC) industry, creating an indoor model of existing buildings has been a challenging task since the introduction of building information modeling (BIM). Because the process of BIM is primarily manual and implies a high possibility of error, the automated creation of indoor models remains an ongoing research. In this paper, we propose a fully automated method to generate 2D floorplan computer-aided designs (CADs) from 3D point clouds. The proposed method consists of two main parts. The first is to detect planes in buildings, such as walls, floors, and ceilings, from unstructured 3D point clouds and to classify them based on the Manhattan-World (MW) assumption. The second is to generate 3D BIM in the industry foundation classes (IFC) format and a 2D floorplan CAD using the proposed line-detection algorithm. We experimented the proposed method on 3D point cloud data from a university building, residential houses, and apartments and evaluated the geometric quality of a wall reconstruction. We also offer the source code for the proposed method on GitHub.
Highlights
The creation of 2D floorplan computer-aided designs (CADs) of the existing buildings is a challenging task in the architecture, engineering, and construction (AEC) industry, as the as-built condition of buildings can differ from original plans due to undocumented renovations
The creation of an indoor model from existing building has been widely researched with building information modeling (BIM) and has been increasingly requested in various applications [1]
To create BIM for existing buildings, 3D reconstruction is required, and a key aspect of 3D reconstruction is wall geometry modeling because it forms the basis for other elements of buildings
Summary
The creation of 2D floorplan computer-aided designs (CADs) of the existing buildings is a challenging task in the architecture, engineering, and construction (AEC) industry, as the as-built condition of buildings can differ from original plans due to undocumented renovations. The most important aspect is the creation of BIM without a prior model, as existing buildings usually do not have a model. To create BIM for existing buildings, 3D reconstruction is required, and a key aspect of 3D reconstruction is wall geometry modeling because it forms the basis for other elements of buildings. These objects are created manually based on large unstructured 3D point clouds acquired from the built structure. This process is labor-intensive and is prone to human error. Another challenge related to automated reconstruction is that 3D point clouds contain various types of clutter, such as furniture, and 3D point clouds lack semantic information [3]
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