Sensor fusion tests for an autonomous vehicle, using extended Kalman Filter
ARTIGO
Inglês
Agradecimentos: The authors would like to acknowledge the support granted by CAPES and CNPq - processes PDSE:9129/12-0 and SWE:209656/2013-1. O. Garcia was Ph.D. Scholarship PEC/PG CAPES/CNPq-Brazil during part of the project
Intelligent and autonomous vehicle concepts have received a great degree of attention in recent years. In addition to a set of sensors, actuators, mechanism, and components (hardware and/or software), new technologies should be developed in support of Automation, Control, Perception, Localization,...
Intelligent and autonomous vehicle concepts have received a great degree of attention in recent years. In addition to a set of sensors, actuators, mechanism, and components (hardware and/or software), new technologies should be developed in support of Automation, Control, Perception, Localization, and Navigation. This article presents the initial tests with the instrumentation of an autonomous vehicle. The design was implemented making the automation of a Fiat Punto vehicle. The aim of this instrumentation is to increase the safety of the car through a sensor fusion localization using Extended Kalman Filter. This article presents the experimental result of applying this sensor fusion technique over the sensors installed actually on the vehicle. Some conclusions and future improvement over the system are proposed
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
9129/12-0
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
209656/2013-1
Fechado
Sensor fusion tests for an autonomous vehicle, using extended Kalman Filter
Sensor fusion tests for an autonomous vehicle, using extended Kalman Filter
Fontes
Journal of engineering science and technology review Vol. 11, no. 3 (Apr., 2018), p. 1-8 |