Skip to main content Skip to main navigation

Projects

Displaying results 1 to 10 of 20.
  1. COPPER – Continual Optical Perception for Dynamic Environments in and around of Vehicles

    COPPER – Continual Optical Perception for Dynamic Environments in and around of Vehicles

    The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In particu

  2. TrustifAI – Mission Kl Innovation- and Quality Center (IQZ) Kaiserslautern (TrustifAI - Health and Wellbeing)

    TrustifAI – Mission Kl Innovation- and Quality Center (IQZ) Kaiserslautern (TrustifAI - Health and Wellbeing)

    Trustworthy AI applications for a secure future Under the leadership of acatech – National Academy of Science and Engineering, MISSION KI aims to strengthen the trustworthiness and reliability of AI a

  3. BERTHA – BEhavioural Replication of Human drivers for CCAM

    BERTHA – BEhavioural Replication of Human drivers for CCAM

    The Horizon Europe project BERTHA kicked off on November 22nd-24th in Valencia, Spain. The project has been granted €7,981,799.50 from the European Commission to develop a Driver Behavioral Model (DBM

  4. KIMBA – KI-basierte Prozesssteuerung und automatisiertes Qualitätsmanagement im Recycling von Bau- und Abbruchabfällen durch sensorbasiertes Inline-Monitoring von Korngrößenverteilungen

    KIMBA – KI-basierte Prozesssteuerung und automatisiertes Qualitätsmanagement im Recycling von Bau- und Abbruchabfällen durch sensorbasiertes Inline-Monitoring von Korngrößenverteilungen

    With 587.4 million t/a of aggregates used, the construction industry is one of the most resource-intensive sectors in Germany. By substituting primary aggregates with recycled (RC) aggregates, natural

  5. dAIEDGE – A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

    dAIEDGE – A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

    The dAIEDGE Network of Excellence (NoE) seeks to strengthen and support the development of the dynamic European cutting-edge AI ecosystem under the umbrella of the European AI Lighthourse and to sista

  6. extremeXP – EXPeriment driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions

    extremeXP – EXPeriment driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions

    A new framework for experimentation-driven analytics Extreme data characteristics represent a challenge for advanced data-driven analytics and decision-making in critical domains such as crisis manage

  7. AI-Observer – Artificial Intelligence for Earth Observation Twinning

    AI-Observer – Artificial Intelligence for Earth Observation Twinning

    Artificial Intelligence (AI) has a major impact on many sectors and its influence is predicted to expand rapidly in the coming years. One area with considerable untapped potential for AI is the field

  8. CORTEX2 – Cooperative Real-Time Experience with Extended reality

    CORTEX2 – Cooperative Real-Time Experience with Extended reality

    The consortium of CORTEX2 — “COoperative Real-Time EXperiences with EXtended reality” — is proud to announce the official start of this European initiative, funded by the European Commission under the

  9. FLUENTLY – Fluently - the essence of human-robot interaction

    FLUENTLY – Fluently - the essence of human-robot interaction

    Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts

  10. FUMOS – Fusion multimodaler optischer Sensoren zur 3D Bewegungserfassung in dichten, dynamischen Szenen für mobile, autonome Systeme

    FUMOS – Fusion multimodaler optischer Sensoren zur 3D Bewegungserfassung in dichten, dynamischen Szenen für mobile, autonome Systeme

    Autonomous vehicles will be an indispensable component of future mobility systems. Autonomous vehicles can significantly increase the safety of driving while simultaneously increasing traffic density.