Monday, September 25
09:15 AM - 09:45 AM
Live in Berlin
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:
Carlo van Driesten currently works at BMW AG as Systems Architect for virtual Test & Validation of Autonomous Driving. He is an open-minded personality with broad interests in business development around "Virtual Test & Validation" and a deep knowledge in environment sensing "Sensor Modelling" is always searching for common interests and the integration of value adding products in a common and standardized simulation architecture.
During his time at BMW, Carlo has authored the Open Simulation Interface (OSI) - an interface for the integration of environment perceiving sensor models. He has also established the “OpenX” at ASAM e.V. as the basis for all standardized interfaces and data formats for virtual test and validation of autonomous driving and created the “ENVITED Ecosystem” at the Automotive Solution Center for Simulation e.V. as the first Distributed Market Place for Simulation Data & Models for L4+ Autonomous Vehicles using novel blockchain technology as an enabler. Prior to BMW, Carlo worked in software development for Rohde and Schwarz, and graduated from TU München with an M.Sc in electrical engineering and information technology.