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As creators of driving datasets, we see the need for automatic, machine learning (ML) aided methods to extract and label trajectory, interaction and map data on larger scales than currently possible. We propose to combine our experience, autonomous driving platforms, hardware, software and infrastru

In recent years, the issue of resource efficiency has also become increasingly important in construction engineering, as soil and rock account for more than 50% of mineral construction waste. Tunnel projects play a special role in this regard, as large quantities are generated at specific times and

The objective is to control distributed resources (solar panels, batteries) located behind the meter of users connected downstream of a MV/LV transformer. A major challenge is to operate the equipment in a way that satisfies the users (e.g. reduction of the energy bill, maximum self-consumption) whi

The aim of the Franco-German KIHT project is to develop an intelligent learning device based on a new «DigiPen« electronic pen. The «DigiPen« electronic device is designed by STABILO with the help of the German institute KIT, which is responsible for integrating the artificial intelligence algorit

Heat pumps constitute an effective solution to mitigate the energy consumption and environmental impact of buildings. They have a high potential to use renewable energies for converting power to heat. However, the actual on-field performance of heat pumps does not always rise to expectations. High h

The general goal of COCOBOTS is to contribute to the development of models for situation conversation that would allow a human to effectively collaborate through conversation with conversational cobot to perform a task. An important aspect of this objective is to be able to use situated dialogue to

The aim of this project is to develop a new braking control system for electric vehicles, using artificial intelligence (AI) to significantly reduce (i) brake particle emissions and (ii) noise emissions. These two emissions are major sources of environmental pollution and health risks in urban areas

In this project, the consortium members will develop an automated system for cell culture optimization based on the combination of machine learning with Lab-on-a-Chip (LOC) technology. The benefits of microfluidics, coupled with the ability of machine learning to process the large amounts of data an

The Affordable AI (AffAI) proposal aims to address three bottlenecks preventing industrial end users from tapping into the potential of AI technologies: * a considerable know-how is required to build data-driven intelligent systems. The exploration of the processing pipelines (pre-processing and

This project initiates the development of CRYPTO4GRAPH-AI, a scalable, secure, and privacy-preserving framework for intelligent management and analytics of graph data in and across enterprises and other organizations. Knowledge Graphs (KGs) have gained increasing adaptation and popularity in enterpr