Quality Engineering Projects

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  • Pit crew changing tires of Formula car at pit stop.
    © istock / simonkr

    The BMBF funded project Software Platform Embedded Systems XT (SPES_XT) is composed of 21 partners from industrial companies and research institutions working on topics like the seamless, methodic and tool-based integration of model and analysis technologies into the development process of embedded systems.

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  • Projektlogo Stadt Land Fluss

    Projektlogo Stadt Land Fluss

    The joint research project “Stadt-Land-Fluss (SLF)” developed a sustainable solution for strengthening “regional food systems” using various AI tools based on a multi-layer “SLF-ICT ecosystem” as a service and integration platform as part of the research focus “Artificial Intelligence (AI) in agriculture, the food chain, healthy nutrition and rural areas”.

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  • CAVE

    5-Sided CAVE in the competence center Virtual Engineering Rhein-Neckar

    5-seitige CAVE im Kompetenzzentrum Virtual Engineering Rhein-Neckar
    © Kompetenzzentrum Virtual Engineering Rhein-Neckar

    Fraunhofer FOKUS' desktop warping and autoalignment technology, developed together with NVIDIA

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  • SEE.4C

    SpatiotEmporal ForEcasting: Coopetition to meet Current Cross-modal Challenges

    European weather maps
    © SEE.4C

    SEE.4C will define a set of analytics tasks (the principal task being forecasting electricity grid traffic) and design a specially tailored competition. Participants and teams will submit algorithms to be evaluated on an special cloud-based computational environment.

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  • CrESt

    Collaborative Embedded Systems

    Large modern warehouse with forklifts
    © istock / petinovs

    Within the CrESt project, a scientifically founded and simultaneously field-proven methodological framework for the development of highly automated collborative embedded systems is to be created. The main object of the project, which is funded by the German Feder Ministry of Education and Research (BMBF), is to enable networks of embedded systems to independent and intelligent collaboration.

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  • CRYSTAL

    Critical System Engineering Acceleration

    Zwei Piloten im Cockpit eines Flugsimulators
    © Matthias Heyde / Fraunhofer FOKUS

    In the context of the European Technology Initiative ARTEMIS Joint Undertaking, the project CRYSTAL aims at fostering Europe’s leading edge position in embedded systems engineering, particularly regarding quality and cost effectiveness of safety-critical embedded systems and architecture platforms.

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  • SmartDelta

    Automated Quality Assurance and Optimization in Incremental Industrial Software Systems Development

    Technologist with tablet computer standing by water tank conveyers doing quality control of apple fruit production in food processing plant.
    © istock / Smederevac

    SmartDelta builds automated solutions for quality assessment of product deltas in a continuous engineering environment by providing smart analytics from development artifacts and system execution, offering insights into quality improvements or degradation of different product versions, and providing recommendations for next builds.

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  • RASEN

    Compositional Risk Assessment and Security Testing of Networked Systems

    Diverse Air Traffic Control Team Working in Modern Airport Tower at Night. Office Room Full of Desktop Computer Displays with Navigation Screens, Airplane Departure and Arrival Data for Controllers.
    © istock / gorodenkoff

    The RASEN project’s main objective is the strengthening of European organisations’ ability to conduct security assessments of large scale networked systems through the combination of security risk assessment and security testing, taking into account the context in which the system is used.

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  • Rear view of a male pilot giving advice to female co-pilot while flying a modern jet airplane. Two pilots sitting in the cockpit and discussing route while flying an commercial airplane jet.
    © istock / Portra Gunnar Svanberg Skulason

    Although solutions of Artificial Intelligence (AI) have gained importance in many economic sectors, they cannot be used in aviation, as they cannot be certified yet. The KIEZ 4.0 project will examine and formulate the technical, the ethical and legal requirements and implications for the use of artificial intelligence in aviation and lay the groundwork for certification approaches.

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