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

dc.contributorGonzález-Jiménez, Luis E.
dc.creatorCastillo-Torres, Ricardo J.
dc.date2021-08-25T19:24:33Z
dc.date2021-08-25T19:24:33Z
dc.date2021-07
dc.date.accessioned2023-07-21T21:55:59Z
dc.date.available2023-07-21T21:55:59Z
dc.identifierCastillo-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.
dc.identifierhttps://hdl.handle.net/11117/7491
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7755460
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.
dc.descriptionITESO, A. C.
dc.formatapplication/pdf
dc.languageeng
dc.publisherITESO
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf
dc.subjectKalman Filter
dc.subjectAutonomous Vehicles
dc.subjectSensor Fusion
dc.subjectKalman Algorithm
dc.titleEmbedded Implementation of a Kalman Filter for the Fusion of Automotive Inertial Sensors Using CARLA Simulator
dc.typeinfo:eu-repo/semantics/academicSpecialization
dc.typeinfo:eu-repo/semantics/acceptedVersion


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