AUTOMATED RECOGNITION OF WORK PROGRESS AT A CONSTRUCTION SITE

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  • KANO Naruo
    Prof., Dept. of Architecture, Faculty of Science and Engineering, Waseda University, Dr.Eng.
  • IKEDA Yuichi
    Chief Research Engineer, Technical Research Institute, Obayashi Corporation, M.Eng.
  • HAMADA Koji
    Senior Research Engineer, Technical Research Institute, Obayashi Corporation, M.Eng.

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Other Title
  • 点群データに基づく工事進捗の自動識別に関する研究
  • 点群データに基づく工事進捗の自動識別に関する研究 : PCa工事における出来形の判定
  • テングン データ ニ モトズク コウジ シンチョク ノ ジドウ シキベツ ニ カンスル ケンキュウ : PCa コウジ ニ オケル デキ ケイ ノ ハンテイ
  • PCa工事における出来形の判定
  • Judgment of erection work progress for precast concrete components

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Abstract

 The progress of construction process could be obtained through the records by construction managers and subcontractors' daily records. However, as those records are based on human observation, there is no objective data to support their credibility, and human errors might exist on them. Currently, it has become relatively easy to grasp the situation at a construction site as the point clouds obtained by 3D laser scanners as well as by the photogrammetry method. The authors have developed methods for identifying components placed at the site by comparing point clouds with 3D CAD model. This paper presents the methods, and verifies these validity through the experiments to identify precast concrete components automatically based on point clouds.

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