State of research in automatic as-built modelling

By Viorica Patraucean, Iro Armeni, Mohammad Nahangi, Jamie Yeung, Ioannis K. Brilakis, Carl T. Haas. Advanced Engineering Informatics, 2015

341 citations recorded by the source corpus.

Building Information Models (BIMs) are becoming the official standard in the construction industry for encoding, reusing, and exchanging information about structural assets. Automatically generating such representations for existing assets stirs up the interest of various industrial, academic, and governmental parties, as it is expected to have a high economic impact. The purpose of this paper is to provide a general overview of the as-built modelling process, with focus on the geometric modelling side. Relevant works from the Computer Vision, Geometry Processing, and Civil Engineering communities are presented and compared in terms of their potential to lead to automatic as-built modelling.

Subfields: Building and Construction, Geology

View Paper: https://www.semanticscholar.org/paper/6180deb63c4fd0618c494158a36f37cb655aa399

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geology

1. Jack C. P. Cheng
2. Min-koo Kim
3. Hoon Sohn
4. Chih-Chen Chang
5. Qian Wang
6. Joonguen Park

Citations in the corpus

• Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM (2016, background): “Laser scanners have been one of the most popular recent measurement tools in the construction industry, and many applications using laser scanners have been proposed [13,35,40].”