Cost-Effective as-Built BIM Modelling Using 3D Point- Clouds and Photogrammetry

Stephen Oliver, Saleh Seyedzadeh, Farzad Rahimian, Nashwan Dawood, Sergio Rodriguez

Research output: Contribution to journalArticlepeer-review

242 Downloads (Pure)


The classification and translation of 3D point-clouds into virtual environments is a time consuming and often tedious process. While there are large crowd sourcing projects for segmenting general environments, there are no such projects with a focus on AEC industries. The nature of these industries makes industry-specific projects too esoteric for conventional approaches to data collation. However, in contrast to other projects, the built environment has a rich data set of BIM and other 3D models with mutable properties and implicitly embedded relationships which are ripe for exploitation. In this article, the readers will find discussion on contemporary applications of image processing, photogrammetry, BIM and artificial intelligence. They will also find discussions on the applications of artificial intelligence, photogrammetry in BIM and image processing that will likely be at the forefront of related research in the coming years.
Original languageEnglish
Article number000599
JournalCurrent Trends in Civil & Structural Engineering - CTCSE
Issue number5
Publication statusPublished - 13 Jan 2020


Dive into the research topics of 'Cost-Effective as-Built BIM Modelling Using 3D Point- Clouds and Photogrammetry'. Together they form a unique fingerprint.

Cite this