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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Acknowledgement
The presented research work has been performed within the projects “Galileo above” and “GALILEO-basierte Assistenzsysteme.”
The project “Galileo above” is sponsored by the Space Agency of the German Aerospace Centre (DLR) with funding by the Federal Ministry of Economics and Technology, in compliance with a resolution of the German Parliament (project/grant no. 50 NA 0902).
The project “GALILEO-basierte Assistenzsysteme” is funded by the Ministry of Economics, Energy, Industry, and Small Business of the State of North Rhine-Westphalia and the European Union with Financing of the European Regional Development Fund (ERDF).
The idea of a manufacturer neutral testing center (Aldenhoven Testing Center) was realized with the help of the county of Düren and fundings by the State Government of North Rhine-Westphalia and the European Union. The idea of the Galileo testing center for automotive applications (automotiveGATE) was implemented within the aforementioned project “Galileo above” by the funding of the DLR Space Administration with funds of the Federal Ministry for Economic Affairs and Energy. Both facilities explicitly guarantee the possibility to be used especially by small and medium enterprises and research facilities. All other customers are also welcome.
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Abel, D., Alrifaee, B., Heßeler, FJ., Hoppe, M., Reiter, M. (2017). Galileo-Based Advanced Driver Assistance Systems: Key Components and Development. In: Watzenig, D., Horn, M. (eds) Automated Driving. Springer, Cham. https://doi.org/10.1007/978-3-319-31895-0_8
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DOI: https://doi.org/10.1007/978-3-319-31895-0_8
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