Automation of BIM modeling from point clouds: a review of methods and techniques

• Autor(a) principal: Lopes, Igor Tiago
• Data de Publicação: 2023
• Outros Autores: Groetelaars, Natalie Johanna, Checcucci, Érica de Sousa, Amorim, Arivaldo Leão
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: PARC (Campinas)
• Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8669015
• topic: Nuvem de pontos; Revisão sistemática de literatura; Modelagem da informação da construção; BIM; Point cloud; Systematic literature review; Building Information Modeling; BIM

The emergence of new tools that assist in rapid and accurate architectural surveys, coupled with the rise in the use of Building Information Modeling (BIM) models for existing buildings, has driven professionals in the architecture and engineering sector to seek methods to streamline modeling and obtain better results within their workflows. Although the potential of BIM for existing buildings is already known, the generation of this model type still presents challenges. Using 3D data survey technologies (such as laser scanning and photogrammetry) as a basis for BIM modeling brings the opportunity to generate more detailed and accurate models and faster data acquisition. In this sense, this paper presents a Systematic Literature Review (SLR) aiming to gather and discuss the main methods and techniques used to automate the BIM modeling process based on point clouds. We searched for papers published in specific databases between 2015 and 2021. In addition to the bibliometric analysis, a qualitative analysis was performed in which the articles were classified to fit all the selected works. Based on the SLR, different tools and processes were found to complement each other but still require human interaction, either to select portions of the point cloud, to associate with constructive elements, or to complement the model interactively.