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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLI-B5-733-2016</article-id>
<title-group>
<article-title>EVALUATION OF ACQUISITION STRATEGIES FOR IMAGE-BASED CONSTRUCTION SITE MONITORING</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tuttas</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Braun</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Borrmann</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stilla</surname>
<given-names>U.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Photogrammetry and Remote Sensing, Technical University of Munich (TUM), Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Computational Modeling and Simulation, Technical University of Munich (TUM), Germany</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>TUM Center of Digital Methods for the Built Environment (LOC)</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B5</volume>
<fpage>733</fpage>
<lpage>740</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2016 S. Tuttas et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B5/733/2016/isprs-archives-XLI-B5-733-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/XLI-B5/733/2016/isprs-archives-XLI-B5-733-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B5/733/2016/isprs-archives-XLI-B5-733-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLI-B5/733/2016/isprs-archives-XLI-B5-733-2016.pdf</self-uri>
<abstract>
<p>Construction site monitoring is an essential task for keeping track of the ongoing construction work and providing up-to-date information
for a Building Information Model (BIM). The BIM contains the as-planned states (geometry, schedule, costs, ...) of a construction project.
For updating, the as-built state has to be acquired repeatedly and compared to the as-planned state. In the approach presented here, a 3D
representation of the as-built state is calculated from photogrammetric images using multi-view stereo reconstruction. On construction
sites one has to cope with several difficulties like security aspects, limited accessibility, occlusions or construction activity. Different
acquisition strategies and techniques, namely (i) terrestrial acquisition with a hand-held camera, (ii) aerial acquisition using a Unmanned
Aerial Vehicle (UAV) and (iii) acquisition using a fixed stereo camera pair at the boom of the crane, are tested on three test sites. They are
assessed considering the special needs for the monitoring tasks and limitations on construction sites. The three scenarios are evaluated
based on the ability of automation, the required effort for acquisition, the necessary equipment and its maintaining, disturbance of the
construction works, and on the accuracy and completeness of the resulting point clouds. Based on the experiences during the test cases
the following conclusions can be drawn: Terrestrial acquisition has the lowest requirements on the device setup but lacks on automation
and coverage. The crane camera shows the lowest flexibility but the highest grade of automation. The UAV approach can provide the
best coverage by combining nadir and oblique views, but can be limited by obstacles and security aspects. The accuracy of the point
clouds is evaluated based on plane fitting of selected building parts. The RMS errors of the fitted parts range from 1 to a few cm for the
UAV and the hand-held scenario. First results show that the crane camera approach has the potential to reach the same accuracy level.</p>
</abstract>
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