In this Dynamic Risk Management, we combine human situation awareness with machine precision for safer and robust driving in unstructured situations. To reduce the number of crashes and incidents, EDI GmbH, IPG Automotive GmbH, University of Stuttgart and Fraunhofer IOSB work together on the project RELAI – Risk Estimation with a Learning AI funded by the Federal Ministry of Transport and Digital Infrastructure (BMVI).
Our product, EDI hive IoT Framework, is used to generate a catalog of synthetic test scenarios for the development of autonomous vehicles and to make them available to the public via a web portal. In addition, the EDI hive IoT Framework is directly linked to the mCloud, the data portal of the BMVI, so that this project also helps to build up a comprehensive mobility database in Germany.
Link to RELAI’s website: http://relai.edi.gmbh/en/
Engineering Data Intelligence (EDI) offers an efficient private cloud with an AI-based application- the EDI hive IoT Framework. EDI hive provides optimization, management and supervision of processes and machines without having knowledge of Artificial Intelligence (AI) and programming. EDI values your experts’ knowledge by creating a new digital product with our EDI hive IoT Framework and archives competitive advantages from Automated Machine Learning in this global era. With experienced EDI’s experts and AI-based digital business models, EDI opens up new business fields and ensure a fast ROI.
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