Sensor fusion tests for an autonomous vehicle, using Extended Kalman Filter

Abstract

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.