Galileo-Based Advanced Driver Assistance Systems: Key Components and Development

Abstract

This chapter presents a test infrastructure for the Galileo satellite system and its applications in advanced driver assistance systems. For this purpose, we first introduce a sensor data fusion of Galileo signals and vehicle data using an extended Kalman filter. The fused data give an estimation of vehicle states and position. Based on the introduced sensor fusion, we show two applications including results from experiments we conducted in the aforementioned test infrastructure. The first application is a cooperative adaptive cruise control system, which uses navigation data in combination with digital road maps as well as V2V communication. The second application is a collision avoidance system, which uses both navigation data and inertial data to estimate the relevant vehicle states for a controller to let the vehicle follow a given evasion path.

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https://academic.microsoft.com/#/detail/2521790640