<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T03:04:22Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/97673" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/97673</identifier><datestamp>2025-07-23T04:04:09Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452951</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Implementation of a Visual SLAM System</dc:title>
   <dc:creator>Tarrasó Martínez, Jaime</dc:creator>
   <dc:contributor>Andrade-Cetto, Juan</dc:contributor>
   <dc:contributor>Solà Ortega, Joan</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria civil::Geomàtica::Cartografia</dc:subject>
   <dc:subject>Cartography</dc:subject>
   <dc:subject>Cartografia</dc:subject>
   <dc:description>The goal of this project is to develop a system to compute the position and&#xd;
orientation of an UAV using a monocular camera. To achieve that, the WOLF library will&#xd;
be used. WOLF is a library thought to solve generalized simultaneous localization and&#xd;
mapping (SLAM) and visual odometry problems. Derived classes will implement the&#xd;
algorithms needed to track features from the images obtained through the sensors.&#xd;
Constraints between the features and other features, or with landmarks, will be created to&#xd;
form a factor graph. An external solver will iterate to find the optimal state, by&#xd;
minimizing the cost associated to all the constraints. Ideally, our system can be used&#xd;
together with an inertial model measuring rotational velocities and translational&#xd;
accelerations, and tested with an unmanned aerial vehicle (UAV) in simulation and in&#xd;
real.environments.</dc:description>
   <dc:date>2016-10-05</dc:date>
   <dc:type>Master thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/2117/97673</dc:identifier>
   <dc:identifier>ETSEIB-240.120379</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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