The main objective of this research project as part of the GAIA-X 4 Future Mobility project family is to develop an open, decentralised data ecosystem that enables product development, production and after sales on the basis of a digital twin.
The development of the data ecosystem is based on two innovative use cases from the practice of highly autonomous driving functions (using the example of ALKS - Automated Lane Keeping System) and sensor development and production.
The German Aerospace Center (DLR) will provide ODD (Open Distributed Data) specifications for the development and validation of ALKS. To this end, real traffic behaviour on the A39 motorway will be observed using the high-resolution stereo camera systems and infrared modules in the Test Bed Lower Saxony. As the test field operator, the Institute of Transportation Systems is working closely with the project participants who are developing the ALKS.
Another task in the project is to derive requirements for the infrastructure for virtual testing. A validated simulation is created based on the derived requirements. Various scenarios from the test field can then be tested for different test levels. In the second use case, the institute defines requirements for the sensor models for the simulation and the integration of the simulation with other test equipment. In the next step, real data and scenarios will be made available in order to define test cases for the real-world test. Real tests will be carried out in cooperation with the sensor developers and the measurement data will then be made available for monitoring and diagnostic purposes via the data ecosystem. This allows maintenance measures to be identified, among other things.
GAIA-X 4PLC-AAD | Product Life Cycle – Across Automated Driving Workshop Braunschweig
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GAIA-X 4PLC-AAD | Product Life Cycle – Across Automated Driving Workshop Braunschweig
