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dc.contributor.authorBorraz Morón, Raúl 
dc.contributor.authorNavarro Lorente, Pedro Javier 
dc.contributor.authorFernández, Carlos 
dc.contributor.authorAlcover Garau, Pedro María 
dc.date.accessioned2019-05-07T09:53:05Z
dc.date.available2019-05-07T09:53:05Z
dc.date.issued2018-02-20
dc.identifier.citationBorraz, R.; Navarro, P.J.; Fernández, C.; Alcover, P.M. Cloud Incubator Car: A Reliable Platform for Autonomous Driving. Appl. Sci. 2018, 8, 303.es_ES
dc.identifier.issn2076-3417
dc.description.abstractt appears clear that the future of road transport is going through enormous changes (intelligent transport systems), the main one being the Intelligent Vehicle (IV). Automated driving requires a huge research effort in multiple technological areas: sensing, control, and driving algorithms. We present a comprehensible and reliable platform for autonomous driving technology development as well as for testing purposes, developed in the Intelligent Vehicles Lab at the Technical University of Cartagena. We propose an open and modular architecture capable of easily integrating a wide variety of sensors and actuators which can be used for testing algorithms and control strategies. As a proof of concept, this paper presents a reliable and complete navigation application for a commercial vehicle (Renault Twizy). It comprises a complete perception system (2D LIDAR, 3D HD LIDAR, ToF cameras, Real-Time Kinematic (RTK) unit, Inertial Measurement Unit (IMU)), an automation of the driving elements of the vehicle (throttle, steering, brakes, and gearbox), a control system, and a decision-making system. Furthermore, two flexible and reliable algorithms are presented for carrying out global and local route planning on board autonomous vehicleses_ES
dc.description.sponsorshipThis work was partially supported by ViSelTR (ref. TIN2012-39279), DGT (ref. SPIP2017-02286) and UPCA13-2E-1929 Spanish Government projects, and the “Research Programme for Groups of Scientific Excellence in the Region of Murcia” of the Seneca Foundation (Agency for Science and Technology in the Region of Murcia-19895/GERM/15). We would like to thank Leanne Rebecca Miller for the edition of the manuscript.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.urihttps://www.mdpi.com/2076-3417/8/2/303es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleCloud Incubator Car: A Reliable Platform for Autonomous Drivinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subject.otherIngeniería de Sistemas y Automáticaes_ES
dc.subjectAutonomous vehicleses_ES
dc.subjectIntelligent vehicleses_ES
dc.subjectControl architecturees_ES
dc.subjectDecision-making systemes_ES
dc.subjectGlobal and local path planninges_ES
dc.subjectBezier curveses_ES
dc.identifier.urihttp://hdl.handle.net/10317/7755
dc.peerreviewSies_ES
dc.contributor.investgroupDivisión de Sistemas en Ingeniería Electrónica (DSIE)es_ES
dc.identifier.doi10.3390/app8020303
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco3307 Tecnología Electrónicaes_ES
dc.contributor.funderFundación Sénecaes_ES


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