Sparse reconstruction and geo-registration of site photographs for as-built construction representation and automatic progress data collection

Mani Golparvar-Fard, Feniosky Peña-Mora, Silvio Savarese

Research output: Contribution to conferencePaper

Abstract

Most of the current techniques for automating progress data collection promise to eliminate laborintensive tasks associated with manual data collection. A drawback is the necessity to add additional steps to be performed before, during, or after utilization of such technologies. Working with such featureless data and without having semantic information of the scene, geometric-reasoning is problematic and induces estimation errors. In this paper application of unordered daily progress photograph logs, available on any job site, as a data collection technique is explored. In our proposed approach, a sparse 3D geometric scene of a construction site is reconstructed and photographs are geo-registered. This allows project managers to remotely explore as-built scene and geo-registered site photographs at different stages of progress, minimize their travel time, perform remote as-built analysis and use the proposed system as a tool for contractor coordination purposes. Furthermore, the point cloud allows the planned model to be registered with the as-built scene, in turn supporting development of the automatic 3D recognition technique and quantification of as-built progression from the geo-registered images. We present our results on two ongoing construction projects and further discuss technical issues on developing and implementing this technology for automation and visualization of as-built construction.

Original languageEnglish (US)
Pages535-543
Number of pages9
StatePublished - Dec 1 2009
Event2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 - Austin, TX, United States
Duration: Jun 24 2009Jun 27 2009

Other

Other2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
CountryUnited States
CityAustin, TX
Period6/24/096/27/09

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Travel time
Contractors
Error analysis
Managers
Automation
Visualization
Semantics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

Cite this

Golparvar-Fard, M., Peña-Mora, F., & Savarese, S. (2009). Sparse reconstruction and geo-registration of site photographs for as-built construction representation and automatic progress data collection. 535-543. Paper presented at 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009, Austin, TX, United States.

Sparse reconstruction and geo-registration of site photographs for as-built construction representation and automatic progress data collection. / Golparvar-Fard, Mani; Peña-Mora, Feniosky; Savarese, Silvio.

2009. 535-543 Paper presented at 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009, Austin, TX, United States.

Research output: Contribution to conferencePaper

Golparvar-Fard, M, Peña-Mora, F & Savarese, S 2009, 'Sparse reconstruction and geo-registration of site photographs for as-built construction representation and automatic progress data collection', Paper presented at 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009, Austin, TX, United States, 6/24/09 - 6/27/09 pp. 535-543.
Golparvar-Fard M, Peña-Mora F, Savarese S. Sparse reconstruction and geo-registration of site photographs for as-built construction representation and automatic progress data collection. 2009. Paper presented at 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009, Austin, TX, United States.
Golparvar-Fard, Mani ; Peña-Mora, Feniosky ; Savarese, Silvio. / Sparse reconstruction and geo-registration of site photographs for as-built construction representation and automatic progress data collection. Paper presented at 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009, Austin, TX, United States.9 p.
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