GreenEdge
Climate-friendly, neuromorphic, and for a sustainable transportation infrastructure of the future
Start: 10/2022
End: 12/2025
The smart city of tomorrow needs (partially) autonomous, electrified vehicles – both for private transport and public transport. Consequently, a large number of vehicles will be guided through complex traffic scenarios in the future. This will generate enormous amounts of data that will need to be processed and reliably transmitted via vehicle-to-everything (V2X) communication, which in term will require a considerable amount of energy.
In the innovation competition for green information and communication technology organized by the German Federal Ministry of Education and Research (BMBF), the potential for energy savings in the use of edge devices for smart cities of the future was calculated as a starting point for sustainable transport infrastructure. This was the starting point for the GreenEdge project, which aims to reduce the energy requirements of future infrastructures resulting from the transport of sensor data to cloud servers and calculation on generic CPU/GPU clusters.
The consortium aims to shift data processing based on AI algorithms to the place where it originates, i.e., the sensor environment, and to save energy by combining classic and neuromorphic AI hardware and sensor technology. Neuromorphic computing approaches to data evaluation and interpretation and event cameras in combination with classic AI algorithms promise great potential for energy-efficient electronics at the edge. This could lead to systems that reduce energy consumption by up to 95 percent. The project innovations are to be tested in real urban environments – at the “Autonomous Driving Test Field Baden-Württemberg” (TAF-BW) and the “Test Track for Automated and Connected Driving” (TAVF-HH).
The GreenEdge R&D project, which is part of the OCTOPUS research projects, is coordinated by the FZI.
Sustainable Engineering and Energy
This research focus includes the research and design of sustainable IT innovations in the cross-sectional areas of energy, mobility, production, water management, and logistics. This involves developing systems that promote the ecologically, socially, and economically sustainable use of resources, and providing strategic consultancy services to companies, particularly SMEs, on their path to greater sustainability.
Applied Artificial Intelligence
In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.
