Embedded Implementation of a Kalman Filter for the Fusion of Automotive Inertial Sensors Using CARLA Simulator

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dc.contributor.advisorGonzález-Jiménez, Luis E.
dc.contributor.authorCastillo-Torres, Ricardo J.
dc.date.accessioned2021-08-25T19:24:33Z
dc.date.available2021-08-25T19:24:33Z
dc.date.issued2021-07
dc.descriptionThe aim of this paper is to build a real-time Kalman filter that collects and fuses sensor data from vehicles to provide more accurate information of the car’s position and orientation. This research work uses the Carla simulator as the platform to simulate a real environment.es_MX
dc.description.sponsorshipITESO, A. C.es
dc.identifier.citationCastillo-Torres, R. J. (2021). Embedded Implementation of a Kalman Filter for the Fusion of Automotive Inertial Sensors Using CARLA Simulator. Trabajo de obtención de grado, Especialidad en Sistemas Embebidos. Tlaquepaque, Jalisco: ITESO.es_MX
dc.identifier.urihttps://hdl.handle.net/11117/7491
dc.language.isoenges_MX
dc.publisherITESOes_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectKalman Filteres_MX
dc.subjectAutonomous Vehicleses_MX
dc.subjectSensor Fusiones_MX
dc.subjectKalman Algorithmes_MX
dc.titleEmbedded Implementation of a Kalman Filter for the Fusion of Automotive Inertial Sensors Using CARLA Simulatores_MX
dc.typeinfo:eu-repo/semantics/academicSpecializationes_MX
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_MX

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