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Research Topics: Autonomous Systems Research Topics: Image Recognition & Understanding
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Displaying results 1 to 10 of 30.
  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. LIEREx – Language-Image Embeddings for Robotic Exploration

    LIEREx – Language-Image Embeddings for Robotic Exploration

    "Robot, bring me a cup!" This seemingly simple instruction often poses significant problems for robots. A robot can use semantic maps to query the positions of objects, but those objects may not even

  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. FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the physi

  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. 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

  7. HAI-x – Hybrid AI explainer

    HAI-x – Hybrid AI explainer

    More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as well as optimise complex processes and decision-makin

  8. ExPrIS – Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

    ExPrIS – Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

    "What will I see when I turn this corner?" Depending on what is around that corner, this question is easy for us to answer. We are likely to see a refrigerator in a kitchen, ships at a port, and a str

  9. agrifoodTEF-DE – Test and Experiment Facilities for the Agri-Food Domain

    agrifoodTEF-DE – Test and Experiment Facilities for the Agri-Food Domain

    The research project agrifoodTEF-DE (Germany) develops independent service blueprints to test and validate AI systems as well as robotic solutions under practical conditions in the agricultural sector

  10. CleanSeas – CleanSeas

    CleanSeas – CleanSeas

    New robotic manipulation techniques and AI algorithms for the precise handling of objects in the sea using the example of ammunition dumps / UXO Approximately 1.6 million tonnes of ammunition, mainly

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