Three-dimensional (3D) as-built reconstruction from laser scanning dataset
As built surveying is a survey technique where position and geometrical attributes are observed and presented in a survey plan. Three- dimensional reconstruction from geoinformation discipline has the advantage to improve the measurement of an as built building. Modern as built reconstruction has le...
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my.utm.923562021-09-28T07:39:00Z http://eprints.utm.my/id/eprint/92356/ Three-dimensional (3D) as-built reconstruction from laser scanning dataset Razali, Ahmad Firdaus Mohd. Ariff, Mohd. Farid Majid, Zulkepli Darwin, Norhadija Aspuri, Anuar Mohd. Salleh, Mohd. Faizi TH Building construction As built surveying is a survey technique where position and geometrical attributes are observed and presented in a survey plan. Three- dimensional reconstruction from geoinformation discipline has the advantage to improve the measurement of an as built building. Modern as built reconstruction has less limitation compared to conventional as built surveying. The objective of this study is to validate the accuracy of point cloud measurement and traditional as built data. Terrestrial laser scanner was used to record all interior and exterior spatial and geometry data of a building. A rendered 3D model of the scanned data was developed to provide semantic information of the building. The result shows that geometrical measurement of an as built model from point cloud data has good accuracy. As conclusion, the point cloud data is suitable to be used for as- built reconstruction which improves as-built surveying practice. 2020 Conference or Workshop Item PeerReviewed Razali, Ahmad Firdaus and Mohd. Ariff, Mohd. Farid and Majid, Zulkepli and Darwin, Norhadija and Aspuri, Anuar and Mohd. Salleh, Mohd. Faizi (2020) Three-dimensional (3D) as-built reconstruction from laser scanning dataset. In: 10th IEEE International Conference on System Engineering and Technology, ICSET2020, 9 November 2020, Shah Alam, Malaysia. http://dx.doi.org/10.1109/ICSET51301.2020.9265360 |
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TH Building construction Razali, Ahmad Firdaus Mohd. Ariff, Mohd. Farid Majid, Zulkepli Darwin, Norhadija Aspuri, Anuar Mohd. Salleh, Mohd. Faizi Three-dimensional (3D) as-built reconstruction from laser scanning dataset |
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As built surveying is a survey technique where position and geometrical attributes are observed and presented in a survey plan. Three- dimensional reconstruction from geoinformation discipline has the advantage to improve the measurement of an as built building. Modern as built reconstruction has less limitation compared to conventional as built surveying. The objective of this study is to validate the accuracy of point cloud measurement and traditional as built data. Terrestrial laser scanner was used to record all interior and exterior spatial and geometry data of a building. A rendered 3D model of the scanned data was developed to provide semantic information of the building. The result shows that geometrical measurement of an as built model from point cloud data has good accuracy. As conclusion, the point cloud data is suitable to be used for as- built reconstruction which improves as-built surveying practice. |
format |
Conference or Workshop Item |
author |
Razali, Ahmad Firdaus Mohd. Ariff, Mohd. Farid Majid, Zulkepli Darwin, Norhadija Aspuri, Anuar Mohd. Salleh, Mohd. Faizi |
author_facet |
Razali, Ahmad Firdaus Mohd. Ariff, Mohd. Farid Majid, Zulkepli Darwin, Norhadija Aspuri, Anuar Mohd. Salleh, Mohd. Faizi |
author_sort |
Razali, Ahmad Firdaus |
title |
Three-dimensional (3D) as-built reconstruction from laser scanning dataset |
title_short |
Three-dimensional (3D) as-built reconstruction from laser scanning dataset |
title_full |
Three-dimensional (3D) as-built reconstruction from laser scanning dataset |
title_fullStr |
Three-dimensional (3D) as-built reconstruction from laser scanning dataset |
title_full_unstemmed |
Three-dimensional (3D) as-built reconstruction from laser scanning dataset |
title_sort |
three-dimensional (3d) as-built reconstruction from laser scanning dataset |
publishDate |
2020 |
url |
http://eprints.utm.my/id/eprint/92356/ http://dx.doi.org/10.1109/ICSET51301.2020.9265360 |
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