Embedded Implementation of a Kalman Filter for the Fusion of Automotive Inertial Sensors Using CARLA Simulator
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Fecha
2021-07
Autores
Castillo-Torres, Ricardo J.
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ITESO
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Descripción
The 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.
Palabras clave
Kalman Filter, Autonomous Vehicles, Sensor Fusion, Kalman Algorithm
Citación
Castillo-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.