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dc.contributor.authorSánchez, Manuel
dc.contributor.authorMartínez-Rodríguez, Jorge Luis 
dc.contributor.authorMorales-Rodríguez, Jesús 
dc.contributor.authorRobles, Alfredo
dc.contributor.authorMoran Prados, Mariano
dc.date.accessioned2024-02-01T11:56:02Z
dc.date.available2024-02-01T11:56:02Z
dc.date.issued2019-05-27
dc.identifier.citationM. Sánchez, J. L. Martínez, J. Morales, A. Robles and M. Morán, "Automatic Generation of Labeled 3D Point Clouds of Natural Environments with Gazebo," 2019 IEEE International Conference on Mechatronics (ICM), Ilmenau, Germany, 2019, pp. 161-166, doi: 10.1109/ICMECH.2019.8722866.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/29607
dc.descriptionhttps://conferences.ieeeauthorcenter.ieee.org/author-ethics/guidelines-and-policies/post-publication-policies/#preprintes_ES
dc.description.abstractProgress in applying supervised learning for nat- ural scene classification is impeded by the lack of appropriate datasets for training. This paper describes the automatic generation of synthetic three-dimensional (3D) scans of natural environments with each point labelled individually with its element class. The developed software employs the robotic simulator Gazebo to obtain range and intensity measurements from a 3D laser rangefinder aboard a ground mobile robot. Precisely, the returned intensity values are used to annotate every 3D point within its corresponding class 100% error free. Several examples are provided to show the utility of the proposed approach.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectVehículos autodirigidoses_ES
dc.subjectAprendizaje automático (Inteligencia artificial)es_ES
dc.subject.other3D laser rangefinderes_ES
dc.subject.otherAutonomous ground vehicleses_ES
dc.subject.otherSensor simulationes_ES
dc.subject.otherSupervised learninges_ES
dc.titleAutomatic Generation of Labeled 3D Point Clouds of Natural Environments with Gazebo.es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroEscuela de Ingenierías Industrialeses_ES
dc.relation.eventtitle2019 IEEE International Conference on Mechatronics (ICM)
dc.relation.eventplaceIlmenau (Alemania)
dc.relation.eventdate18-20 March 2019
dc.identifier.doi10.1109/icmech.2019.8722866
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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