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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

37 Zitate (Scopus)

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.

OriginalspracheEnglisch
Titel32nd International Symposium on Automation and Robotics in Construction and Mining
UntertitelConnected to the Future, Proceedings
Herausgeber (Verlag)International Association for Automation and Robotics in Construction I.A.A.R.C)
ISBN (elektronisch)9789517585972
DOIs
PublikationsstatusVeröffentlicht - 2015
Veranstaltung32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015 - Oulu, Finnland
Dauer: 15 Juni 201518 Juni 2015

Publikationsreihe

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

Konferenz

Konferenz32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015
Land/GebietFinnland
OrtOulu
Zeitraum15/06/1518/06/15

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