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

Automated and fully automated vehicles must independently capture and understand their environment. In heavy rain or snow, however, sensors such as...

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Industry as well as academia have made great advances working towards an overall vision of fully autonomous driving. Despite the success stories,...

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Open source is on the rise: Alongside open software, new hardware architectures offer an independent and cost-effective alternative to large chip...

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Projects

AI for Mobility, Logistic and Energy

The goal of KI-mobil is the realization of an AI-supported software platform for disruptive, resource-saving and high-performance mobility concepts, which intelligently combines individual and public...

RIMA - Robotics for Infrastructure Inspection and MAintenance

Inspection and Maintenance (I&M) represents a huge economic activity (450 Bn Euro market) spanning across sectors

such as energy, transport, civil engineering. EU hosts over 50% of I&M robotics offer...

Cognitive Collaboration for Teaming

Während einer Flugreise müssen Piloten komplizierte Situationen meistern – gleichzeitig sehen sie sich aufgrund der Menge und Art der verfügbaren Informationen mit einer zunehmenden Systemkomplexität...

Smart Inclusive Multi-Modal Mobility Services

In the SIM3S project, data from the BMVI data offerings mCloud and MDM will be linked, refined and jointly analysed with other open data, user-generated content and data from individual modes of...

Generation of prior knowledge with the help of learning systems for 4D analysis of complex scenes

Motivation

Artificial intelligence currently influences many areas, including machine vision. For applications in the fields of autonomous systems, medicine and industry there are fundamental...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz