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  <titleInfo>
    <title>AUTOMATED PROGRESS CONTROL USING LASER SCANNING TECHNOLOGY</title>
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    <namePart>Zhang, Chengyi</namePart>
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    <namePart>Arditi, David</namePart>
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  <abstract>Assessing progress in different construction activities at the end of every payment period is time consuming and requires specialized personnel employed by the contractor and the owner. Automatic progress control that requires a minimum amount of human involvement could reduce the time spent on this activity, reduce the number of personnel used, reduce the cost involved, reduce disagreements between contractor and owner, and add to the overall efficiency of project management. Attempts have been made in the past to resolve this issue using image processing and other techniques but the results have not been satisfactory. A new attempt was made to set up a system that can assess progress control with minimum human input and the results are presented in this paper. The experiment made use of laser scanning technology and was conducted both in laboratory conditions and construction sites. The initial results from laboratory condition appear to be promising but there are still obstacles to surmount. The system is robust and accurate in laboratory conditions and constitutes proof of concept. Improvements are made to accelerate the registration process of multiple scans, to reduce the noise data, to recognize objects of irregular shape, and to assess the practicality and economic feasibility of such a system when applying this system in real construction sites. Keywords: Construction scheduling, progress control, laser scanning</abstract>
  <note type="provenance">Submitted by Liana Khananashvili (khananashvili@iit.edu) on 2013-11-08T19:22:17Z No. of bitstreams: 2 Thesis-Chengyi Zhang.pdf: 7848745 bytes, checksum: c87a25dabd8ecd023869558674c7ac9d (MD5) Scanned title page.pdf: 131241 bytes, checksum: c9ca8c0dfcd792d4e9153e2c51dfba91 (MD5)</note>
  <note type="provenance">Made available in DSpace on 2013-11-08T19:22:17Z (GMT). No. of bitstreams: 2 Thesis-Chengyi Zhang.pdf: 7848745 bytes, checksum: c87a25dabd8ecd023869558674c7ac9d (MD5) Scanned title page.pdf: 131241 bytes, checksum: c9ca8c0dfcd792d4e9153e2c51dfba91 (MD5) Previous issue date: 2013-05</note>
  <note type="thesis">PH.D in Civil Engineering, May 2013</note>
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    <dateCaptured>2013</dateCaptured>
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  <originInfo>
    <dateCreated keyDate="yes">2013-05</dateCreated>
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  <identifier type="hdl">http://hdl.handle.net/10560/3139</identifier>
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    <namePart>CAEE / Civil, Architectural, and Environmental Engineering</namePart>
    <affiliation>Illinois Institute of Technology</affiliation>
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