Research Projects


Climate-friendly, neuromorphic and for a sustainable transport infrastructure of the future

Start: 10/2022

End: 09/2025

Future smart cities will need (partially) autonomous, electrified vehicles – in both private and public transport. Therefore, a large number of vehicles will be guided through complex traffic scenarios. This will generate enormous amounts of data that must be processed and reliably transmitted via vehicle-to-everything communication (V2X), which involves considerable energy consumption.

At the innovation competition for green information and communication technology (GreenICT) of the German Federal Ministry of Education and Research (BMBF), the energy savings potential from using edge devices for smart cities in the future was calculated for a sustainable transportation infrastructure. This was the starting point for the GreenEdge project, which aims to reduce the energy demand of future infrastructures caused by the transmission of sensor data to cloud servers and computation on generic CPU/GPU clusters.

The consortium aims in particular to migrate AI algorithm-based data processing to the source location, the sensor environment, and to save energy by combining classical and neuromorphic AI hardware and sensor technology. In particular, neuromorphic computing approaches for data analysis and interpretation, as well as event cameras combined with classical AI algorithms, promise great potential for energy-efficient electronics at the edge. This has the potential of reducing energy demand by up to 95 percent. The project innovations will be tested in real, urban environments – at the Test Area Autonomous Driving Baden-Württemberg (TAF BW) and the Test Track for Automated and Connected Driving (TAVF-HH).

The GreenEdge research and development project, which is part of the OCTOPUS research projects, is coordinated by the FZI.


Victor Pazmino Betancourt

Department Manager
Division: Embedded Systems and Sensors Engineering

Research focuses

Applied Artificial Intelligence

In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.

Climate Action Innovation

The research focus Climate Action Innovation aims to actively promote climate protection and create sustainable solutions in energy, mobility, production, and supply and disposal via IT innovations. Security aspects of the solutions are considered from the very onset.

Funding notice:
The GreenEdge project is funded by the Federal Ministry of Education and Research (BMBF).

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