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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/isprsarchives-XL-3-W1-1-2014</article-id>
<title-group>
<article-title>Low Cost Vision Based Personal Mobile Mapping System</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Amami</surname>
<given-names>M. M.</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>Smith</surname>
<given-names>M. J.</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>Kokkas</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Faculty of Engineering, The University of Nottingham, Nottingham Geospatial Building, Triumph Road, Nottingham NG7 2TU, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>05</day>
<month>03</month>
<year>2014</year>
</pub-date>
<volume>XL-3/W1</volume>
<fpage>1</fpage>
<lpage>6</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 M. M. Amami et al.</copyright-statement>
<copyright-year>2014</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/XL-3-W1/1/2014/isprs-archives-XL-3-W1-1-2014.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-3-W1/1/2014/isprs-archives-XL-3-W1-1-2014.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-3-W1/1/2014/isprs-archives-XL-3-W1-1-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-3-W1/1/2014/isprs-archives-XL-3-W1-1-2014.pdf</self-uri>
<abstract>
<p>Mobile mapping systems (MMS) can be used for several purposes, such as transportation, highway infrastructure mapping and GIS data collecting. However, the acceptance of these systems is not wide spread and their use is still limited due the high cost and dependency on the Global Navigation Satellite System (GNSS). A low cost vision based personal MMS has been produced with an aim to overcome these limitations. The system has been designed to depend mainly on cameras and use of low cost GNSS and inertial sensors to provide a bundle adjustment solution with initial values. The system has the potential to be used indoor and outdoor. The system has been tested indoors and outdoors with different GPS coverage, surrounded features, and narrow and curvy paths. Tests show that the system is able to work in such environments providing 3D coordinates of better than 10 cm accuracy.</p>
</abstract>
<counts><page-count count="6"/></counts>
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