https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Drakoulis_et_al_2018aDrakoulis et al 2018a - Revision history2026-08-26T17:02:33ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Drakoulis_et_al_2018a&diff=208161&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 371607284 to Drakoulis et al 2018a2021-02-03T19:37:24Z<p>Scipediacontent moved page <a href="/public/Draft_Content_371607284" class="mw-redirect" title="Draft Content 371607284">Draft Content 371607284</a> to <a href="/public/Drakoulis_et_al_2018a" title="Drakoulis et al 2018a">Drakoulis et al 2018a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Drakoulis_et_al_2018a&diff=208160&oldid=prevScipediacontent: Created page with " == Abstract == In this paper, two state-of-the-art solutions to the simultaneous localization and mapping (SLAM) problem are implemented, depending on the environment type...."2021-02-03T19:37:21Z<p>Created page with " == Abstract == In this paper, two state-of-the-art solutions to the simultaneous localization and mapping (SLAM) problem are implemented, depending on the environment type...."</p>
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== Abstract ==<br />
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In this paper, two state-of-the-art solutions to the simultaneous localization and mapping (SLAM) problem are implemented, depending on the environment type. A line feature-based solution using the extended Kalman filter is selected for structured environments, while for unstructured an incremental likelihood maximization algorithm using scan matching is adopted. This work proposes an evaluation method for the mapping accuracy assessment, able to handle results from different map representations. The resulting maps of both algorithms are compared to the digitalized areas blueprints after being converted to a common representation, which makes use of custom elements supported by the popular OpenStreetMap digital map format. Experiments were performed in two parking garages with different characteristics showing the applicability of the proposed evaluation method independent of the SLAM algorithm used.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://zenodo.org/record/1451408 https://zenodo.org/record/1451408] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br />
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* [https://zenodo.org/record/1451408 https://zenodo.org/record/1451408],<br />
: [http://dx.doi.org/10.5281/zenodo.1451407 http://dx.doi.org/10.5281/zenodo.1451407] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br />
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* [https://zenodo.org/record/1451408 https://zenodo.org/record/1451408],<br />
: [http://dx.doi.org/10.5281/zenodo.1451408 http://dx.doi.org/10.5281/zenodo.1451408] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br />
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DOIS: 10.5281/zenodo.1451408 10.5281/zenodo.1451407</div>Scipediacontent