Fields of Application

Mobility

Artificial intelligence is the key technology for mobility concepts of the future. Tomorrow's mobility will be characterized by vehicles and infrastructure with ever higher levels of automation and networking, as well as learning systems that increase traffic safety and optimize traffic flows. Context-sensitive, multimodal interfaces and intelligent sensor systems for interaction between vehicles and their occupants or with the environment, as well as communication, control and analysis systems for elementary data flows and their safety, are just as important for this.

News

1-3 October 2021: The SPELL project partners invite you to the Hackathonamring at the Nürburgring.

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Der Digitaltag wird getragen von der Initiative „Digital für alle“, einem Bündnis von mehr als 25 Organisationen aus den Bereichen Zivilgesellschaft,…

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The DFKI and its partners DB Systel GmbH, Siemens Mobility GmbH and TU Braunschweig are developing a concept which aims to solve general problems…

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Projects

Continual learning for visual and multi-modal encoding of human surrounding and behavior

Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionised Computer Vision in almost all areas. These include topics such as motion estimation, object…

Robot-assisted charging and power management in private and public parking spaces

The ChargePal project aims at the research and practical testing of self-sufficient mobile DC charging robots with integrated high-performance batteries as well as their intelligent network…

Accellerating digital transformation in europe by Intelligent NETwork automation - Automated Network Telecom Infrastructure with inteLLigent Autonomous Systems

The AI-NET sub-project AI-NET-ANTILLAS focusses on the development of infrastructure elements for automated telecommunication networks to make them suitable for use cases in industries and autonomous…

AUTONOMOUS NON-WHEELED ALL-TERRAIN ROVER

The objective of the activity is to develop the ANT navigation system for legged robots. It will be able to perceive the terrain, to plan a path to a desired goal and to control the path execution…

INTerpretable monitoring SYStems

The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic systems working with multimodal data. This will be…

National Research Data Infrastructure for Engineering Sciences

NFDI4Ing is one of the funded consortia of the NFDI initiative of DFG (https://www.dfg.de/en/research_funding/programmes/nfdi/index.html).

NFDI4Ing brings together the engineering communities and…

Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence centres" to form a strong research network of…

Localisation and perception of a miniaturized autonomous underwater vehicle for the exploration of subglacial lakes

The aim of the TRIPLE project line is to design and build a system for scientific exploration of subglacial lakes while validating the associated functions in close cooperation with marine and space…

Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

Continuous Adaptive Machine-Learning of Transfer of Control Situations

A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz