Current Research Projects

GNSS and Inertial Navigation

• IGNITE (Improving Integrity and Accuracy in Highly Automated Navigation Applications through GNSS Multipath Maps)

  In this project, a digital map is being developed that captures and provides information on GNSS signal propagation – in particular multipath and NLOS errors – in urban environments. AI models are used to interpolate mapped multipath errors at user positions and to predict errors at locations without real training data. The map enables improved weighting of GNSS signals in the receiver, thereby enhancing the accuracy, integrity, and availability of the positioning solution for highly automated vehicles in urban traffic. The project is being carried out in cooperation with Geo++ GmbH.

  Led by: Prof. Dr.-Ing. Jürgen Müller

  Team: Dr.-Ing. Fabian Ruwisch, M.Sc. Anat Schaper

  Year: 2026

  Funding: Funding from the European Regional Development Fund (ERDF) under the special call “Strategic Technologies for Europe – STEP” for innovative collaborative projects in applied research.
• Collaborative Navigation for Smart Cities (GRK 2159)

  Global Navigation Satellite Systems (GNSS) is the only navigation sensor that provides absolute positioning. However, urban areas form the most challenging environment for GNSS to achieve a reliable position. Because of the reduced satellite visibility and disturbed signal propagation like diffraction and multipath, the resulting position has a reduced accuracy and availability. The overall research objective of this project is to reduce these shortcomings through collaboration. Therefore, similarity of multipath at different locations within streets will be studied.

  Led by: Prof. Dr.-Ing. Steffen Schön

  Team: Anat Schaper, Jingyao Su, Dennis Kulemann

  Year: 2019

  Funding: Deutsche Forschungsgemeinschaft (DFG) - Graduiertenkolleg GRK 2159