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Intelligent Mobility

Ein Forschungsfahrzeug ist mit Sensoren ausgestattet, die Daten sammeln.

Exploring the mobility of tomorrow

In the field of Intelligent Mobility, scientists at Aschaffenburg UAS research solutions for future mobility with the aim of moving people and goods safely, efficiently and in an environmentally friendly manner. Central challenges in the field of autonomous vehicles are safety and targeted cooperation between all road users.

The research activities focus on sensor signal processing for reliable detection of the vehicle environment, innovative control algorithms for automating vehicle guidance and acoustic signal processing for optimising human-machine interaction. Energy efficiency requirements also play an extremely important role in this research area.

Projects

  • Connection Concepts through gaming workshop

    ConnectS UP

    The ConnectS UP project promotes the connection between universities and companies through innovative, practical teaching methods.

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  • STEPS4EU Kick-off-Meeting in Mailand

    ERASMUS+ Project STEPS4EU

    Improvement of the overall success of engineering projects in the EU through the development of cross-functional skills of all participating team members.

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  • The Primavera24 presenter interviews Prof. Dr. Rainer Georg Hofmann.

    mainproject

    Information transfer project focusing on digital transformation, sustainability and agile transition to strengthen the competitiveness of SMEs enterprises in the Bavarian Lower Main region.

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  • AI modelling with expert knowledge for Indusrtry workspaces

    Exkimo

    AI modelling with integration of expert knowledge for use in industrial processes.

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  • Zwei Forscher stehen vor ihrem Forschungsprojekt

    MOSES

    Multi-optical sensor technology and real-time data processing are used to capture the process situation for automated UKP laser based PCB processing for manufacturing inductive sensors of the future.

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  • A student sits in a research vehicle at the TH Aschaffenburg.

    i4Driving: Integrated 4D driving modelling with consideration of uncertainties

    Development of a database that expands, integrates, and provides several reference models to represent the diversity of human driving behavior for virtual CCAM evaluation.

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  • Prof. Dr. Erich Ruppert und Joachim Schmitt referieren im Rahmen des Wissenstransferprojekts mainproject.

    TransferformKMU

    With TransferformKMU, the Institute for Management and leadership supports regional companies on their way out of the pandemic with further training on sustainability and transformation.

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  • dima project Design Thinking Workshop

    dima Digital Manufactory

    The Digital Manufacture supports citizens of the city of Aschaffenburg with applied artificial intelligence to improve the urban living space.

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  • The European Central Bank Euro Symbol in Frankfurt

    Quantitative Easing

    In January 2015, the ECB Governing Council decided on the "Quantitative Easing" asset purchase programme. The project comments on this decision and the resulting consequences.

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  • International Mercuri students at the TH Aschaffenburg campus

    MERCURI

    Development of a transnational study programme in Customer Relationship Marketing, in collaboration with four universties.

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Further Projects

Labs and teams

At the moment the lab pages are only available in German. We are currently working on English content for you.

Scientists and researchers

Publications

By publishing research results in the field of Intelligent Mobility, we are actively contributing to improving the mobility of our future. With the common goal of increasing safety, enhancing sustainability and improving efficiency, we provide companies, communities and interested private individuals insights into possible applications and thus create starting points for further innovation.

To the publications in Intelligent Mobility

Contact

Are you interested in a cooperation with Aschaffenburg UAS? We are happy to assist you in planning new projects.

Back to overview: Intelligent Systems