<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1692-1798</journal-id>
<journal-title><![CDATA[Iteckne]]></journal-title>
<abbrev-journal-title><![CDATA[Iteckne]]></abbrev-journal-title>
<issn>1692-1798</issn>
<publisher>
<publisher-name><![CDATA[Universidad Santo Tomás]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1692-17982019000200144</article-id>
<article-id pub-id-type="doi">10.15332/iteckne.v16i2.2357</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[GENERACIÓN DE MAPA GLOBAL 2D Y SLAM USANDO LIDAR Y UNA ESTÉREO CÁMARA PARA EL SEGUIMIENTO DE MOVIMIENTO DE UN ROBOT MÓVIL]]></article-title>
<article-title xml:lang="en"><![CDATA[GLOBAL MAP GENERATION AND SLAM USING LIDAR AND STEREO CAMERA FOR TRACKING MOTION OF MOBILE ROBOT]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Álvarez-Gutiérrez]]></surname>
<given-names><![CDATA[Edwin Leonel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez-López]]></surname>
<given-names><![CDATA[Fabián Rolando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Pedagógica y Tecnológica de Colombia  ]]></institution>
<addr-line><![CDATA[Tunja ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Pedagógica y Tecnológica de Colombia  ]]></institution>
<addr-line><![CDATA[Tunja ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>16</volume>
<numero>2</numero>
<fpage>144</fpage>
<lpage>156</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1692-17982019000200144&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1692-17982019000200144&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1692-17982019000200144&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Uno de los temas de mayor atención en la robótica móvil está relacionado con la localización y mapeo de un robot en un entorno determinado, y el otro, asociado a la selección de los dispositivos o sensores necesarios para adquirir la mayor cantidad de información externa posible para la generación de un mapa global. El propósito de este artículo es plantear la integración entre un robot móvil terrestre tipo oruga, tareas de SLAM con dispositivos LiDAR y el uso de estéreo visión a través de la cámara ZED para la generación de un mapa global en 2D y el seguimiento del movimiento del robot móvil mediante elsoftwarede MATLAB®. El experimento consiste en realizar diferentes pruebas de detección para determinar las distancias y hacer el seguimiento de la posición del robot móvil en un entorno estructurado en interiores, para observar el comportamiento de la plataforma móvil y determinar el error en las mediciones. Los resultados obtenidos muestran que los dispositivos integrados cumplen satisfactoriamente con las tareas establecidas en condiciones controladas y en entornos interiores, obteniendo porcentajes de error inferiores al 1 y 4% para el caso del LiDAR y la cámara ZED, respectivamente. Se desarrolló una alternativa que resuelve uno de los problemas más comunes de la robótica móvil en los últimos años y, adicionalmente, esta solución permite la posibilidad de fusionarse otro tipo de sensores como los sistemas inerciales, encoders, GPS, entre otros, con el fin de mejorar las aplicaciones en el área y la calidad de la información adquirida desde el exterior.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract One of the topics of greatest attention in mobile robotics is related to the location and mapping of a robot in a given environment and the other, associated with the selection of the devices or sensors necessary to acquire as much external information as possible for the generation of a global map. The purpose of this article is to propose the integration between a caterpillar-type land mobile robot, SLAM tasks with LiDAR devices and the use of stereo vision through the ZED camera for the generation of a 2D global map and the tracking of the movement of the mobile robot using the MATLAB®software. The experiment consists of performing different detection tests to determine distances and track the position of mobile robot in a structured environment indoors, to observe the behavior of the mobile platform and determine the error in the measurements. The results obtained show that the integrated devices satisfactorily fulfill the tasks established in controlled conditions and in indoor environments, obtaining error percentages lower than 1 and 4% for the case of the LiDAR and the ZED camera respectively. An alternative was developed that solves one of the most common problems of mobile robotics in recent years and, additionally, this solution allows the possibility of merging other types of sensors such as inertial systems, encoders, GPS, among others, in order to improve the applications in the area and the quality of the information acquired from abroad.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[LiDAR]]></kwd>
<kwd lng="es"><![CDATA[Mapa Global]]></kwd>
<kwd lng="es"><![CDATA[seguimiento de movimiento]]></kwd>
<kwd lng="es"><![CDATA[SLAM]]></kwd>
<kwd lng="es"><![CDATA[robot móvil]]></kwd>
<kwd lng="es"><![CDATA[visión estéreo]]></kwd>
<kwd lng="en"><![CDATA[LiDAR]]></kwd>
<kwd lng="en"><![CDATA[Global Map]]></kwd>
<kwd lng="en"><![CDATA[motion tracking]]></kwd>
<kwd lng="en"><![CDATA[SLAM]]></kwd>
<kwd lng="en"><![CDATA[mobile robot]]></kwd>
<kwd lng="en"><![CDATA[stereo vision]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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