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        Multisensorielle Navigation und Kartierung in schwierigen Bedingungen 

        Doer, Christopher (2023)
        Robust navigation as well as mapping of the environment are critical for autonomous aerial vehicles. This is especially challenging in poor visual conditions or degraded GNSS. Therefore, this thesis proposes multi-sensor ...
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        Integrated optical sensors on the Si₃N₄-organic hybrid (SiNOH) platform 

        Kohler, Daria (2023)
        A waveguide-based sensor chip is demonstrated that is suitable for point-of-care applications. The biosensor is designed using a mathematical model to investigate the sensitivity of the waveguides. A new class of integrated ...
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        Bauen mit Beton im Kreislauf - Recycling, Re-Use und Ressourcenschonung 

        Nolting, Ulrich; Dehn, Frank; Kind, Vanessa Mercedes (2023)
        The concrete industry is facing the major challenge of drastically reducing CO₂ emissions and thus contributing to sustainability and climate protection. In these conference proceedings, we would like to focus on how we ...
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        Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces 

        Ruf, Boitumelo (2023)
        This work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based ...
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        Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations 

        Bächle, Matthias (2023)
        This work presents model-based algorithmic approaches for interference-invariant time delay estimation, which are specifically suited for the estimation of small time delay differences with a necessary resolution well below ...
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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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