Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models

By M. G. Fard, Feniosky Peña-Mora, Silvio Savarese. Journal of computing in civil engineering, 2015

339 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering, Geology

View Paper: https://www.semanticscholar.org/paper/a9c46b9b59f0d91ac7d8f0d6a891f4fda77464c4

How researchers see this paper

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

In Building and Construction

1. Zhiliang Ma
2. Shilong Liu

In Civil and Structural Engineering

1. Zhiliang Ma
2. Shilong Liu

In Geology

1. Viorica Patraucean
2. Iro Armeni
3. Zhiliang Ma
4. Shilong Liu
5. Jitendra Malik
6. Silvio Savarese

Citations in the corpus

• State of research in automatic as-built modelling (2015, methodology): “usually obtained through a 3D reconstruction method, which takes its data either from imaging (camera) systems [7,45,52,51], or from”
• A review of 3D reconstruction techniques in civil engineering and their applications (2018, methodology): “As a result, the progress deviations with different color were visualized on the 4-dimensional AR model [18,41] for monitoring construction sites progress.”