The goal of a virtually enhanced homologation process through the usage of driving simulators relies on the quality of the data used as input for the simulation. If HD Maps, driver models, scenarios, or sensor models, the integration of such elements in various systems throughout deep supply chains demand a common understanding brought by standards like e.g., OpenDRIVE from the ASAM e.V. OpenX. But what makes a map “HD” and how can we validate the quality of such a claim e.g. in the context of a function that needs to fulfill the ALKS regulation UN R157? High quality data in standardized formats can also be used as a corner stone of simulation tool certification. The availability of data is impacted by defining clear requirements. BMW explores the possibility to define requirement levels for the Open Simulation Interface and categorize sensor models in the GitHub projects ENVITED Open Source Model & Simulation Library within the European research family GaiaX to enable decentralized data markets for standardized simulation data.
The audience will learn about:
- ASAM OpenX provide a common understanding for simulation data
- ENVITED OpenMSL provides common rules and validation processes to determine the quality of e.g. sensor models
- The GaiaX Trust Anker process is practically implemented at ASC(S e.V. ENVITED for digital identities
- Standardized data with objective quality criteria and digital identities are the baseline for decentralized simulation data markets