A Layer-Wise Strategy for Indoor As-Built Modeling Using Point Clouds

Author:

Xie Lei,Wang Ruisheng,Ming Zutao,Chen Dong

Abstract

The automatic modeling of as-built building interiors, known as indoor building reconstruction, is gaining increasing attention because of its widespread applications. With the development of sensors to acquire high-quality point clouds, a new modeling scheme called scan-to-BIM (building information modeling) emerged as well. However, the traditional scan-to-BIM process is time-tedious and labor-intensive. Most existing automatic indoor building reconstruction solutions can only fit the specific data or lack of detailed model representation. In this paper, we propose a layer-wise method, on the basis of 3D planar primitives, to create 2D floor plans and 3D building models. It can deal with different types of point clouds and retain many structural details with respect to protruding structures, complicated ceilings, and fine corners. The experimental results indicate the effectiveness of the proposed method and the robustness against noises and sparse data.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Challenges of Automating Interior Construction Progress Monitoring;Journal of Construction Engineering and Management;2024-09

2. Semantic-aware room-level indoor modeling from point clouds;International Journal of Applied Earth Observation and Geoinformation;2024-03

3. NORMAL CLASSIFICATION OF 3D OCCUPANCY GRIDS FOR VOXEL-BASED INDOOR RECONSTRUCTION FROM POINT CLOUDS;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-05-18

4. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes;ISPRS Journal of Photogrammetry and Remote Sensing;2021-11

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