All-automatic 3D BIM modeling of existing buildings
Overview & Synopsis
In order to ensure a reliable building life cycle management, it is es-sential to generate an accurate and up-to-date referential mock-up that will be used for renovation, extension and maintenance. Based on this statement, we carried out, in a previous work, a research study in the sake of reconstructing a 3D CAD model from a point cloud acquired using a Lidar. This point cloud is pro-cessed automatically to detect planes and contours and to generate the 3D CAD model. However, during the life cycle of the project, different actors from differ-ent fields intervene on the building, which creates several communication con-flicts, and this means a loss of time, energy and money. In order to ensure a con-structive collaboration and a simplified data exchange between the different con-tributors in the building, we continued our work to propose, in this paper, an au-tomatic conversion of a point cloud to a 3D BIM file. This conversion induces the passage to the standard IFC format and the integration of a valuable knowledge in it. To do so, an automatic classification of contours into architec-tural elements is proposed. It consists in defining a hierarchical classification rule reproducing the human reasoning for classifying the architectural elements. Then, based on the classified set of polygons, an automatic generation of 3D IFC model is proposed.
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Document Information
| Document Title | All-automatic 3D BIM modeling of existing buildings |
|---|---|
| Author / Organization | Djamel-Eddine Benarab, William Derigent, David Brie, Vincent Bombardier, André Thomas |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2018 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-164707 |
| Original Source Link | Visit Source Page on hal.science » |