With the development of self driving cars, the need for realistic and accurate simulation data becomes increasingly important. Accurate high quality data however is costly to gather and therefore was previously only available to big companies and organizations that had the necessary monetary resources. On the other hand there exist government incentives to map the geological features of their country for scientific surveys, e.g. for finding resource deposits or for flood simulations to ensure public safety1. And with the rise of initiatives to make this data publicly available2it is possible to repurpose this data for driving and racing simulations, which was previously not possible without significant monetary investments. Furthermore, initiatives like the INSPIRE Directive3 by the European Union help making data from different countries compatible and further expand the availability of high quality datasets. Making it viable for a wide range of people to use real world data in their projects.