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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</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-annals-XI-2-2026-705-2026</article-id>
<title-group>
<article-title>A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rudolph</surname>
<given-names>Jan Andre</given-names>
<ext-link>https://orcid.org/0009-0008-0026-2963</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Haitz</surname>
<given-names>Dennis</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ulrich</surname>
<given-names>Markus</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Machine Vision Metrology Lab, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>03</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>XI-2-2026</volume>
<fpage>705</fpage>
<lpage>712</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Jan Andre Rudolph et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/XI-2-2026/705/2026/isprs-annals-XI-2-2026-705-2026.html">This article is available from https://isprs-annals.copernicus.org/articles/XI-2-2026/705/2026/isprs-annals-XI-2-2026-705-2026.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/XI-2-2026/705/2026/isprs-annals-XI-2-2026-705-2026.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/XI-2-2026/705/2026/isprs-annals-XI-2-2026-705-2026.pdf</self-uri>
<abstract>
<p>A novel hand&amp;ndash;eye calibration method for ground-observing mobile robots is proposed. While cameras on mobile robots are common, they are rarely used for ground-observing measurement tasks. Laser trackers are increasingly used in robotics for precise localization. A referencing plate is designed to combine the two measurement modalities of laser tracker 3D metrology and camera-based 2D imaging. It incorporates reflector nests for pose acquisition using a laser tracker and a camera calibration target that is observed by the robot-mounted camera. The procedure comprises estimating the plate pose, the plate&amp;mdash;camera pose, and the robot pose, followed by computing the robot&amp;mdash;camera transformation. Experiments indicate sub-millimeter repeatability.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
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</article>