Construction Informatics and Computing Lab

Research Areas

The CIC research group is dedicated to the scientific study of construction informatics and computing for computer-aided decision making through the integration of automated data acquisition, systemic analysis, and information visualization. The research interests lie in the in-depth understanding of human behavior and social interaction in a construction operation and in a built environment. Recent research topics include the following areas:

  • Human motion sensing and ergonomic analysis for health and safety
  • BIM-oriented mixed reality for operation analysis and visualization
  • GIS-based spatial data processing for civil infrastructure analysis
  • 3D modeling of a human and a built environment for workplace design
  • System dynamics and reliability for modeling and analysis of complex systems

Selected Research Topics

 Structured Light 3D Scanning: This spatial augmented reality (SAR) research explores a computer-aided visual inspection approach using a projector-camera system for the automated detection of construction errors during off-site quality inspection.

 Augmented Reality: This augmented reality (AR) study aims to improve construction and facility management by visualizing an as-planned model on its corresponding surface in the user's view through AR device (e.g., Hololens) for fast, easy, and correct information retrieval.

 Immersive Virtual Reality: This study explores applications of virtual reality (VR) to skills and safety training, focusing on understanding immersion-enhancing factors affecting the users’ experience in VR and their psychological responses.

 3D Pose Estimation for Construction Ergonomics: This study explores computer vision techniques as a potentially suitable method of data collection in construction, which enables extracting 3D pose data from video streams and carrying out onsite safety and ergonomic analysis.

 High Dimensional Spatial Data Processing: This study explores a multi-channel convolutional neural network for the integration of various geospatial features into the modeling and learning of map-type data (e.g., meteorological and geographical maps for solar energy prediction).

1 / 5
 Structured Light 3D Scanning 
2 / 5
Augmented Reality: Hololens
3 / 5
Immersive Virtual Reality
4 / 5
 3D Pose Estimation: Construction Ergonomics 
5 / 5
 High Dimensional Spatial Data Processing 

Contact

Address: Jaesung Civil Eng Bldg #413 | #515 (grad office) | #301-1 (lab)
             222 Wangsimni-ro, Seongdong-gu, Seoul, S. Korea, 04763
Phone: +82 (02) 2220-0326
Email: sanguk@hanyang.ac.kr