RESEARCH & PUBLICATIONS

Our solutions are based on a foundation of state-of-the-art research and scientific discovery.  We work in areas of civil engineering, construction project management, mathematical modeling, data science, and sensors to name a few.  Check out some of our work below.

Development of an Automated Monitoring and Control System for Construction Projects

Doctoral Thesis: Automated progress monitoring and dimensional conformance control, Automated 4D as-built model generation, Robust statistics, Automated Planar and linear classification and segmentation of point cloud data, Principal components analysis, Minimum...

Evaluation of the State-of-the-Art Automated Construction Progress Monitoring and Control Systems

ASCE Subject Headings:Imaging techniques, Data collection, Construction management, Cameras, Construction sites, Project management, Control systems, Automation Conference Information Construction Research Congress 2014 May 19-21, 2014 | Atlanta, Georgia Abstract...

Extraction of pipes and flanges from point clouds for automated verification of pre-fabricated modules in oil and gas refinery projects

Highlights Development of an automated framework to detect pipes and flanges from point clouds of pre-fabricated oil and gas modules. Proposed system tested on two point cloud datasets, acquired from separate sites with different data quality and density. Proposed...

Accuracy assessment of ultra-wide band technology in locating dynamic resources in indoor scenarios

Highlights Effects of speed and number of tags on the dynamic accuracy of UWB investigated A simple and effective methodology for identifying the heading is introduced. Accuracy is inversely proportionate to speed, complexity of path and number of tags. Static tags...

Robust Segmentation of Planar and Linear Features of Terrestrial Laser Scanner Point Clouds Acquired from Construction Sites

Keywords: TLS/LiDAR point clouds; robust statistics; minimum covariance determinant (MCD); robust principal components analysis (PCA); robust planar and linear segmentation Abstract Automated segmentation of planar and linear features of point clouds acquired from...

Accuracy assessment of Ultra-Wide Band technology in tracking static resources in indoor construction scenarios

Highlights Experiments were conducted to study the reliability of UWB on construction sites. In each experiment, the impact of a sub-optimal condition was simulated. For each experiment, accuracy of the location estimation data was calculated. Effects of a change in a...

Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction

Keywords: semantic object classification; point cloud segmentation; terrestrial laser scanner (TLS); progress monitoring; dimensional compliance control; reinforced concrete construction; 3D surface intersection; change detection; building information modeling (BIM)...