Laser marking system based on 3D cad model

Shintaro Sakamoto*, Naruo Kano, Takeshi Igarashi, Hiroki Kishimoto, Hirohiko Fujii, Yuji Oosawa, Kentarou Minami, Kousei Ishida

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)


In many cases of renovation work, it is very difficult to gain sufficient information about the existing building such as the positions and dimensions of the frame, interior and equipment because of incomplete or missing drawings. As a result, it is necessary to fabricate the parts on the construction site. We have been developing a system for measuring existing buildings precisely using a 3D laser scanner before renovation work, fabricating the parts in factories and assembling them on site. This system will increase productivity and eliminate construction waste. The system requires a function for positioning of the parts and marking precisely on the site. Our developed marking system determines positions from 3D-CAD data and indicates them with a motor-driven Total Station. The position data is produced from objects such as points and lines stored in a design file, and is saved as a marking data file. The Total Station reads the data file and marks the positions by laser automatically and precisely. This report describes the function to produce the position data file and to mark the positions with the Total Station. It also shows the results of a field test at an actual construction site. This research was carried out with a grant from the Ministry of Land, Infrastructure, Transport and Tourism.

Original languageEnglish
Number of pages6
Publication statusPublished - 2011
Event28th International Symposium on Automation and Robotics in Construction, ISARC 2011 - Seoul, Korea, Republic of
Duration: 2011 Jun 292011 Jul 2


Conference28th International Symposium on Automation and Robotics in Construction, ISARC 2011
Country/TerritoryKorea, Republic of


  • 3D CAD
  • 3D laser scanner
  • Marking
  • Renovation work
  • Total station

ASJC Scopus subject areas

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


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