Department of Computer Science
Aerospace Information Technology
Tel.: +49 931 31-86192
Michael was born in Würzburg, Germany, in 1989. He received the B.Sc. degree in Aerospace Computer Science from the University of Würzburg, Würzburg, in 2012, and the M.Sc. degree in space science and technology from Aalto University, Helsinki, Finland, and the Luleå University of Technology, Luleå, Sweden, in 2014. His research interests include RTK GNSS, advanced multi-sensor fusion, navigation in GNSS-denied environments and autonomous UAVs. He was leader of the ROBEX project, developing an autopilot for autonomous UAVs in Arctic environment. He finished his doctoral thesis in Ferbruary 2021.
QANI-FEED 6D Autonomie
FARN - A Novel UAV Flight Controller for Highly Accurate and Reliable Navigation. Technical Report (PhD dissertation), Strohmeier, Michael (2021).
Towards Self-Aware Multirotor Formations. Kaiser, Dennis; Lesch, Veronika; Rothe, Julian; Strohmeier, Michael; Spiess, Florian; Krupitzer, Christian; Montenegro, Sergio; Kounev, Samuel in Computers (2020). 9(7)
A Modified Model Reference Adaptive Controller (M-MRAC) Using an Updated MIT-Rule for the Altitude of a UAV. Rothe, Julian; Zevering, Jasper; Strohmeier, Michael; Montenegro, Sergio in Electronics (2020). 9(7)
A concept for catching drones with a net carried by cooperative UAVs. Rothe, Julian; Strohmeier, Michael; Montenegro, Sergio (2019). 126–132.
Ultra-Wideband Based Pose Estimation for Small Unmanned Aerial Vehicles. Strohmeier, Michael; Walter, Thomas; Rothe, Julian; Montenegro, Sergio in IEEE Access (2018). 6 57526–57535.
Coupled GPS/MEMS IMU Attitude Determination of Small UAVs with COTS. Strohmeier, Michael; Montenegro, Sergio in Electronics (2017). 6(1)
Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human. Strohmeier, Michael (2014). 93.
Waypoint flight parameter comparison of an autonomous UAV. Gageik, Nils; Strohmeier, Michael; Montenegro, Sergio in International Journal of Artificial Intelligence & Applications (IJAIA) (2013).
An Autonomous UAV with an Optical Flow Sensor for Positioning and Navigation. Gageik, Nils; Strohmeier, Michael; Montenegro, Sergio in International Journal of Advanced Robotic Systems (2013). 10(10) 341.