Generación de Mapa Global 2D y SLAM usando LiDAR y una Estéreo Cámara para el seguimiento de movimiento de un robot móvil

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....

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Autores:
Álvarez - Gutiérrez, Edwin Leonel
Jiménez - López, Fabián Rolando
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Santo Tomás
Repositorio:
Universidad Santo Tomás
Idioma:
eng
OAI Identifier:
oai:repository.usta.edu.co:11634/36210
Acceso en línea:
http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/2357
http://hdl.handle.net/11634/36210
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Copyright (c) 2019 ITECKNE
Description
Summary: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.