期刊
ADVANCED ENGINEERING INFORMATICS
卷 24, 期 4, 页码 456-465出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.aei.2010.06.006
关键词
Building information modeling; Computer vision; Machine learning; Image processing; Videogrammetry
Only very few constructed facilities today have a complete record of as-built information. Despite the growing use of Building Information Modelling and the improvement in as-built records, several more years will be required before guidelines that require as-built data modelling will be implemented for the majority of constructed facilities, and this will still not address the stock of existing buildings. A technical solution for scanning buildings and compiling Building Information Models is needed. However, this is a multidisciplinary problem, requiring expertise in scanning, computer vision and videogrammetry, machine learning, and parametric object modelling. This paper outlines the technical approach proposed by a consortium of researchers that has gathered to tackle the ambitious goal of automating as-built modelling as far as possible. The top level framework of the proposed solution is presented, and each process, input and output is explained, along with the steps needed to validate them Preliminary experiments on the earlier stages (i.e processes) of the framework proposed are conducted and results are shown; the work toward implementation of the remainder is ongoing (C) 2010 Elsevier Ltd All rights reserved
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据