Geo-Registering Consecutive Construction Site Recordings Using a Pre-Registered Reference Module
The monitoring of construction sites and the achieved progress is a vital aspect of construction works in the Architecture, Engineering and Construction (AEC) industry. Only if three-dimensional reconstructions require a limited time, the creation of consecutive datasets, portraying the site in subs...
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| Published in | Remote sensing (Basel, Switzerland) Vol. 12; no. 12; p. 1928 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
15.06.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2072-4292 2072-4292 |
| DOI | 10.3390/rs12121928 |
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| Abstract | The monitoring of construction sites and the achieved progress is a vital aspect of construction works in the Architecture, Engineering and Construction (AEC) industry. Only if three-dimensional reconstructions require a limited time, the creation of consecutive datasets, portraying the site in subsequent phases, becomes feasible. Moreover, a shared coordinate system between all datasets is essential for monitoring purposes. In this work, a new photogrammetric framework is presented to shift from the current error-prone and tedious manual geo-referencing process to a semi-automated one. The fundament of the method is an accurately processed reference module that repeatedly serves as the starting point for processing subsequent image datasets. By means of overlap between pictures in both datasets, the coordinate system, incorporated in the reference module, is inherited by the subsequent datasets, hence bypassing the indication process. The proposed procedure is able to outperform current methods, while requiring less time considered over all consecutive datasets. In our experiments, we compared an unaltered part of two subsequent datasets, each of them processed via the traditional and our proposed method. The obtained mean disparity was 9 mm, while for the manual approach it was 16 mm. Especially for comparative analyses, the proposed approach yields excellent results as every dataset is registered exactly the same, whereas results diverge more when following manual methods. In conclusion, our approach is favourable over the current one, especially for a multitude of consecutive site reconstructions, as no ground control points (GCPs) must be indicated in each separate subsequent dataset, while yielding similar to even better results. |
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| AbstractList | The monitoring of construction sites and the achieved progress is a vital aspect of construction works in the Architecture, Engineering and Construction (AEC) industry. Only if three-dimensional reconstructions require a limited time, the creation of consecutive datasets, portraying the site in subsequent phases, becomes feasible. Moreover, a shared coordinate system between all datasets is essential for monitoring purposes. In this work, a new photogrammetric framework is presented to shift from the current error-prone and tedious manual geo-referencing process to a semi-automated one. The fundament of the method is an accurately processed reference module that repeatedly serves as the starting point for processing subsequent image datasets. By means of overlap between pictures in both datasets, the coordinate system, incorporated in the reference module, is inherited by the subsequent datasets, hence bypassing the indication process. The proposed procedure is able to outperform current methods, while requiring less time considered over all consecutive datasets. In our experiments, we compared an unaltered part of two subsequent datasets, each of them processed via the traditional and our proposed method. The obtained mean disparity was 9 mm, while for the manual approach it was 16 mm. Especially for comparative analyses, the proposed approach yields excellent results as every dataset is registered exactly the same, whereas results diverge more when following manual methods. In conclusion, our approach is favourable over the current one, especially for a multitude of consecutive site reconstructions, as no ground control points (GCPs) must be indicated in each separate subsequent dataset, while yielding similar to even better results. |
| Author | Vergauwen, Maarten Vincke, Stan |
| Author_xml | – sequence: 1 givenname: Stan orcidid: 0000-0002-9242-2459 surname: Vincke fullname: Vincke, Stan – sequence: 2 givenname: Maarten orcidid: 0000-0003-3465-9033 surname: Vergauwen fullname: Vergauwen, Maarten |
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| CitedBy_id | crossref_primary_10_1016_j_autcon_2022_104581 crossref_primary_10_3390_ijgi9090545 crossref_primary_10_1016_j_autcon_2021_104098 |
| Cites_doi | 10.1061/(ASCE)CF.1943-5509.0000116 10.1109/34.121791 10.1016/j.autcon.2016.06.016 10.1109/IROS.2008.4650967 10.1061/(ASCE)0887-3828(1987)1:3(132) 10.1016/j.imavis.2003.09.004 10.1016/S0031-3203(03)00050-5 10.1016/j.geomorph.2012.08.021 10.1016/j.aei.2010.06.006 10.1061/(ASCE)CO.1943-7862.0001427 10.1016/j.aei.2011.08.009 10.1016/j.autcon.2012.11.041 10.1016/j.autcon.2018.01.014 10.1016/j.autcon.2013.01.005 10.1061/(ASCE)CO.1943-7862.0000371 10.1016/j.autcon.2007.09.001 10.1109/ROBOT.2009.5152473 10.1061/(ASCE)CP.1943-5487.0000205 10.3390/rs8090779 10.1016/j.isprsjprs.2005.02.006 10.1061/(ASCE)0733-9364(2002)128:1(8) 10.1016/j.autcon.2013.08.012 10.1016/j.aei.2009.08.006 10.1109/ICIP.2007.4379798 10.1061/(ASCE)0887-3801(2009)23:6(391) |
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| SubjectTerms | Algorithms Automation construction Construction industry Construction sites Coordinates data collection Datasets engineering ground control industry Lasers Modules Monitoring Photogrammetry Pictures progress monitoring Registration Remote sensing Trends |
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| Title | Geo-Registering Consecutive Construction Site Recordings Using a Pre-Registered Reference Module |
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