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Simulation of autonomous driving needs a realistic representation of the environment. There are several options. We propose a method,
which uses highly accurate global geoinformation (GIS) data from the City of Kempten for testing sensors, sensor fusion and driving functions (algorithms). The geo-information data is converted into an ASAM Open Simulation Interface (ASAM OSI) representation and benchmarked against ASAM OSI ground-truth data. This allows virtual validation and testing against highly accurate geo-referenced data
and a realistic environment representation.