Multi-sample image-based material recognition and formalized sequencing knowledge for operation-level construction progress monitoring

Kevin K. Han, Mani Golparvar-Fard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new method for operation-level monitoring of construction progress using image-based 3D point clouds and 4D Building Information Model (BIM). Previous research on comparing point clouds to 4D BIM has proven the practicality of performing progress monitoring by occupancy-based assessment - detecting if BIM elements are present in the scene. Nonetheless, without appearance information, operation-level monitoring - formwork vs. concrete surfaces for concrete placement - is still challenging. By leveraging the interconnectivity of site images and BIM-registered point clouds, this paper presents a new method for densely sampling and extracting 2D patches from all site images from which BIM elements are expected to be visible. Our method reasons about occlusions in the scene and classifies the material in each image patch. By formalizing the sequencing knowledge of construction operations for progress monitoring purposes and using histogram-based representation for possible types of construction materials, our method can accurately detect the current state-of-progress for BIM elements in the presence of occlusions. We introduce a new image dataset for material recognition, and present promising results on operation-level progress monitoring on an actual concrete building construction site. Our method addresses the challenges of working with non-detailed BIM or high-level work breakdown structures.

Original languageEnglish (US)
Title of host publicationComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
EditorsR. Raymond Issa, Ian Flood
PublisherAmerican Society of Civil Engineers
Pages364-372
Number of pages9
ISBN (Electronic)9780784413616
DOIs
StatePublished - 2014
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: Jun 23 2014Jun 25 2014

Publication series

NameComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering

Other

Other2014 International Conference on Computing in Civil and Building Engineering
Country/TerritoryUnited States
CityOrlando
Period6/23/146/25/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering
  • Building and Construction

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