Automated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model

A mixed reality framework for the dimensional quality assessment of large building elements. It combines a vision foundation model (FastSAM) with a spatial computing algorithm, and was tested in day and night conditions.

@article{zhang2026automated,
  title     = {Automated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model},
  author    = {Zhang, Z. and Ghosh Mondal, T. and Yang, X. and Fu, Y.},
  journal   = {ASCE Journal of Computing in Civil Engineering},
  year      = {2026},
  volume    = {40},
  number    = {1},
  pages     = {04025130},
  doi       = {10.1061/JCCEE5.CPENG-6727}
}

1. [1]

   Integrating Mixed Reality with Key Digital Technologies for Elevating On-site Construction Efficiency: An Integrative Review and Framework

   Zhang, Z., Ghosh Mondal, T., Yang, X., and Fu, Y.*

   ASCE Journal of Construction Engineering and Management, 152(10), 03126011 (2026). DOI

2. [3]

   Gaze-Driven Mixed Reality for Dimensional Quality Assessment of Timber Components Using a Few-Shot RGB-D Vision Foundation Model

   Zhang, Z., Yang, X., Fu, Y.*, and Ghosh Mondal, T.

   Advanced Engineering Informatics, 77, 105186 (2027). DOI

3. [4]

   Human-in-the-Loop Rebar Inspection: Integrating Vision Foundation Model with Mixed Reality for Construction Quality Assurance

   Zhang, Z.*, Ghosh Mondal, T., and Yang, X.

   2026 IEEE International Conference on Human-Machine Systems (ICHMS), Singapore, 452–457 (2026). DOI

4. [5]

   Automated Rebar Spacing Measurement in Mixed Reality Using RebarSAM and Monocular Depth Estimation

   Zhang, Z., Yang, X., Fu, Y.*, and Ghosh Mondal, T.

   Automation in Construction. Minor revision.