Testumgebung für Edge Computing in Intelligenten Transportsystemen (ITS)

Moving machine learning inference from backbone servers closer to the actual process at the edge is a recent trend in the industry. Advantages are promising: lower latency for the processing pipeline without the requirement for a permanent connection to the cloud. This so-called Edge Computing and its related challenges are a major research objective of the investigation in the European project “Artificial Intelligence for Digitalizing Industry” (AI4DI), which assembles partners from various industrial sectors.

The project is funded in the program H2020 ECSEL JU by the European Union as well as the involved national authorities, including the Federal Ministry of Education and Research (BMBF) in Germany.

Within three years of project duration, the Automotive Research Team of the University of Applied Sciences Amberg-Weiden (OTH-AW) investigates concepts for the optimization of data processing pipelines in Edge networks applied in the field of Intelligent Transportation Systems (ITS). In the first project year, OTH-AW’s activities comprised requirements analysis, system design and the setup of an ITS testbed for further investigations towards Mobility-as-a-Service (MaaS).