The conceptual data models of OpenDRIVE and CityGML meet requirements from different application domains—automotive and 3D GIS . However, challenges in one domain have already been addressed in the other. Thus, the concept of the OpenDRIVE-CityGML Duality is being proposed: With a consistent road space model in both OpenDRIVE and CityGML, the tools from both domains can be applied .
With transformation tools like FME, application-specific target formats can be derived from CityGML datasets. The dual representation enables the usage of generic attributes and Application Domain Extensions (ADEs) of CityGML .
- Schwab, Benedikt; Kolbe, Thomas H.: Requirement Analysis of 3D Road Space Models for Automated Driving. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W8, 2019, 99-106.
- Schwab, Benedikt; Beil, Christof; Kolbe Thomas H.: Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems. Sustainability 12 (9), 2020, 3799.
- Biljecki, Filip; Kumar, Kavisha; Nagel Claus: CityGML Application Domain Extension (ADE): overview of developments. Open Geospatial Data, Software and Standards 3 (13), 2018.