Construction progress management and interior work analysis using kinect 3D image sensors

Kosei Ishida*

*この研究の対応する著者

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

Construction progress management and work analysis are often difficult in building interiors. In order to make progress management easier, the authors developed methods for recording the interior work environment. These methods record data using Microsoft Kinect sensors. In this paper, the authors describe methods for recording work data utilizing several Kinect sensors. The authors recorded the following types of data: 1. The work environment at the construction site 2. The shape of the building at the construction site 3. The work efficiency at the site derived from the motion capture data To record the three types of data, the authors developed a method for performing motion capture using several Kinects. In addition, a shape recognition method for identifying building materials was developed. The shape recognition method utilizes point cloud data and camera image data. The authors also studied methods for analyzing the work efficiency data on the basis of skeletal tracking information.

本文言語English
ページ314-322
ページ数9
DOI
出版ステータスPublished - 2016
外部発表はい
イベント33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 - Auburn, United States
継続期間: 2016 7 182016 7 21

Other

Other33rd International Symposium on Automation and Robotics in Construction, ISARC 2016
国/地域United States
CityAuburn
Period16/7/1816/7/21

ASJC Scopus subject areas

  • 人工知能
  • 土木構造工学
  • 人間とコンピュータの相互作用
  • 地盤工学および土木地質学

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