Automated progress monitoring based on photogrammetric point clouds and precedence relationship graphs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

37 Scopus citations

Abstract

Construction progress monitoring is an essential but time-consuming work on all construction sites. This research introduces a method to facilitate the asplanned versus as-built comparison through image based monitoring. A dense point cloud is reconstructed from the images that is compared to an existing 4D building information model (BIM). However, due to the numerous obstructions found on a construction site, only a minority of building elements can be detected directly. In this paper, we discuss how the detection results are significantly refined and enriched by using additional spatial and temporal information gained from the 4D BIM. In this regard, a precedence relationship graph is derived which helps to identify occluded elements and enhance the detection algorithm.

Original languageEnglish
Title of host publication32nd International Symposium on Automation and Robotics in Construction and Mining
Subtitle of host publicationConnected to the Future, Proceedings
PublisherInternational Association for Automation and Robotics in Construction I.A.A.R.C)
ISBN (Electronic)9789517585972
DOIs
StatePublished - 2015
Event32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015 - Oulu, Finland
Duration: 15 Jun 201518 Jun 2015

Publication series

Name32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings

Conference

Conference32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015
Country/TerritoryFinland
CityOulu
Period15/06/1518/06/15

Keywords

  • As-planned as-built comparison
  • Point clouds
  • Progress monitoring

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