Autonomous movement and mobility planning
Networked intermodal mobility, autonomous vehicle technologies and virtual development approaches optimise the use of means of transport, increase safety and efficiency in transport and accelerate innovation cycles for flexible, sustainable mobility solutions.
Research projects with this focus
- AIDER - Artificial Intelligence Desaster Relief
- AUDEKI - Automated flight guidance supported by a combination of intelligent algorithms
- EndeAR - Energy-efficient, data-driven UAS trajectory planning taking into account macro- and micrometeorological boundary conditions
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Selected publications on this focus
- Augustin, Tobias & Ossmann, Daniel. (2023). Enhanced Pedestrian Dead Reckoning Sensor Fusion for Firefighting. 10.3390/ecsa-10-16032.
- Kreuzer, Marcus & Weber, Alexander & Knoll, Alexander. (2024). Spontaneous State Constraint Insertions to Operating Symbolic Controllers Combined with Runtime Assurance for Task Allocation in UAV Missions. 231-238. 10.23919/ECC64448.2024.10590983.
- Paula, Daniel & Bauder, Maximilian & Pfeilschifter, Claus & Petermeier, Franziska & Kubjatko, Tibor & Böhm, Klaus & Riener, Andreas & Schweiger, Hans-Georg. (2023). Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior. Sensors. 23. 10.3390/s23249785.
- Schulz, Simon & Kier, Thiemo & Gojny, Marcus & Ossmann, Daniel. (2024). A systematic design approach for aircraft structural loads estimation enabling data-driven fatigue analysis. 10.2514/6.2024-2614.
- Wei, Sijie & Pfeffer, Peter & Edelmann, Johannes. (2023). State of the Art: Ongoing Research in Assessment Methods for Lane Keeping Assistance Systems. IEEE Transactions on Intelligent Vehicles. PP. 1-28. 10.1109/TIV.2023.3269156.
