![]() From this intermediate format specific simulation formats can be derived automatically through the developed processing toolchain. The DLR in partnership with OEMs developed guidelines for simplified surveying into an intermediate, discrete geodata format which meets the requirements of both the governmental and the driving simulation domain. domain-specific formats quickly becomes time and cost consuming. In contrast, specific surveying directly into these. The trend to simulate real world urban environments leads to increasing demands for such data which cannot be derived easily from cadastral or open source geodata. Read moreĭevelopment of driver assistance and automation systems relies on domain-specific formats for the geometrical and logical representation of road networks in simulation environments. In this article the need of such an approach is discussed, the data format and the guidelines explained as well as the feasibility and effort of this approach is examined in an urban use case in Germany covering the dedicated surveying of road sections followed by automatic processing into OpenDRIVE. The intermediate format should serve as a data hub from which specific simulation formats can be derived automatically through the developed processing tool chain. ![]() The DLR in partnership with OEMs developed guidelines and a simplified data format to facilitate surveying into an intermediate, discrete geodata format which meets the requirements of both the governmental and the driving simulation domain. ![]() domain-specific formats quickly becomes time- and cost-consuming. Based on that, open GIS frameworks are presented which enable ad hoc visualization and web-map publishing of such OpenDRIVE data.ĭevelopment of driver assistance and automation systems relies on domain-specific formats for the geometrical and logical representation of road networks in simulation environments. The proposed approach introduces persisting of OpenDRIVE elements in spatial databases through geometry discretisation into OGC Simple Features while maintaining the original XML data for fast subset generation and data browsing. Addressing these challenges, this presentation shows one possible approach for well-performing serving of large-scale OpenDRIVE datasets without any rocket science but with the use of standardized, well-established technologies of the geodata domain. This subset extraction is a common case because such huge datasets are seldom used in whole for a limited simulation use case. It becomes even more challenging when - according to changing requirements during project runtime - varying snippets of these datasets are to be extracted dynamically. Due to OpenDRIVE's complex data structure the plain management of such big datasets is already cumbersome. Various German and international test bed activities acquire extensive amounts of highly detailed road network data covering hundreds and thousands of kilometres of motorways, extra-urban and urban roads. ![]() In addition to prototyping of small-scale road segments for special driving simulation use cases the depiction of real-world road network datasets in OpenDRIVE becomes increasingly prominent.
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