In December 2019, the largest drone hall in Europe was unveiled at the University of Klagenfurt. The researchers working at the Dronehub Klagenfurt enjoy a safe, state-of-the-art environment in which to test new technologies and collect relevant data. Most of the research projects carried out here hinge on the following: It is essential to be able to detect and pinpoint drones and their location as accurately as possible. In the drone hall, this is accomplished in an area measuring 150 square metres with a ceiling height of ten metres, using 37 high-precision cameras that track every movement throughout the entire volume of the space with the help of infrared LEDs. Additionally, the drone hall is equipped with an HPC High Performance Computer and a cable robot fitted with four winches and ropes.
The drone hall at the University of Klagenfurt is situated in Lakeside Science & Technology Park in the immediate vicinity of Joanneum Research. All research activities in the drone hall are coordinated by the research group Control of Networked Systems.
Researchers at the University of Klagenfurt have been working on new technologies aimed at optimising the use of drones since 2008. The focus lies on developing autonomous multi-drone systems that allow several drones to navigate on their own, coordinate independently, and exchange data. Ultimately, the goal is for swarms of drones to perform tasks – much like a flock of birds in nature – without relying on central programming. One particularly challenging aspect in this context is the camera-based navigation, which allows drones to form a picture of their surroundings so they can navigate around areas without needing GPS. However, wireless (multimedia) communication between the drones and their connection to 5G networks will also have to be addressed by researchers. The areas of application for the drone technologies developed in Klagenfurt are many and varied: They are used by the Red Cross and by fire brigades, in industrial environments or by shipping companies for ship maintenance, during the inventory of forests or in Mars-like conditions during analogue space missions.
These research endeavours are bundled in the Dronehub Klagenfurt. Contributions come from four research groups: Control of Networked Systems (headed by: Stephan Weiss & Jan Steinbrener), Mobile Systems (headed by: Christian Bettstetter), Pervasive Computing (headed by: Bernhard Rinner) and Multimedia Communication (headed by: Hermann Hellwagner & Christian Timmerer).
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Forschungskommunikation2019-09-10 09:19:412019-09-10 09:28:41Using existing cellular networks for dronesChristian Brommer, Alessandro Fornasier, Martin Scheiber, Jeff Delaune, Roland Brockers, Jan Steinbrener, Stephan Michael Weiss: The INSANE dataset: Large number of sensors for challenging UAV flights in Mars analog, outdoor, and out-/indoor transition scenarios. The International Journal of Robotics Research, SAGE Journals, 2024, S. 1 - 31.
Martin Scheiber, Alessandro Fornasier, Christian Brommer, Stephan Michael Weiss: Revisiting multi-GNSS Navigation for UAVs - An Equivariant Filtering Approach. 2023 21st International Conference on Advanced Robotics (ICAR), IEEE, Piscataway (NJ), 2024, S. 134 - 141.
Giulio Delama, Farhad Shamsfakhr, Stephan Michael Weiss, Daniele Fontanelli, Alessandro Fornasier: UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway (NJ), 2023,
Alessandro Fornasier, Pieter van Goor, Eren Allak, Robert Mahony, Stephan Michael Weiss: MSCEqF: A Multi State Constraint Equivariant Filter for Vision-Aided Inertial Navigation. IEEE Robotics and Automation Letters, IEEE, 9, Piscataway (NJ), 2023, S. 731 - 738.
Visar Arapi, Alexander Hardt-Stremayr, Stephan Michael Weiss, Jan Steinbrener: Bridging the simulation-to-real gap for AI-based needle and target detection in robot-assisted ultrasound-guided interventions. Springer Nature, 2023,
Jan Steinbrener, Vesna Dimitrievska, Federico Pittino, Frans Starmans, Roland Waldner, Jürgen Holzbauer, Thomas Arnold: Learning metric volume estimation of fruits and vegetables from short monocular video sequences. Heliyon, Cell Press, 9, 2023, S. e14722 - e14722.
Thomas Georg Jantos, Christian Brommer, Eren Allak, Stephan Michael Weiss, Jan Steinbrener: AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2023), 2023,
Rohit Sudhakar Dhakate, Christian Brommer, Christoph Böhm, Harald Gietler, Stephan Michael Weiss, Jan Steinbrener: Autonomous Control Of Redundant Hydraulic Manipulator using Reinforcement Learning with Action Feedback. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway (NJ), 2022,
Roland Jung, Stephan Michael Weiss: Scalable and Modular Ultra-Wideband Aided Inertial Navigation,. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway (NJ), 2022,
Jan Kazimierz Michalczyk, Roland Jung, Stephan Michael Weiss: Tightly-Coupled EKF-Based Radar-Inertial Odometry. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway (NJ), 2022,
Thomas Georg Jantos, Mohamed Amin Hamdad, Wolfgang Granig, Stephan Michael Weiss, Jan Steinbrener: PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation. Proceedings of Machine Learning Research, 2022,
Christian Brommer, Alessandro Fornasier, Martin Scheiber, Jeff Delaune, Roland Brockers, Jan Steinbrener, Stephan Michael Weiss: INSANE: Cross-domain UAV data sets with increased number of sensors for developing advanced and novel estimators. arxiv.org, arXiv.org, Ithaca, NY, 2022,
Martin Scheiber, Alexandre Cardaillac, Christian Brommer, Stephan Michael Weiss, Martin Ludvigsen: Modular Multi-Sensor Fusion for Underwater Localization for Autonomous ROV Operations. OCEANS 2022 - New Hamptons, IEEE, Piscataway (NJ), 2022,
Eren Allak, Axel Barrau, Roland Jung, Jan Steinbrener, Stephan Michael Weiss: Centralized-Equivalent Pairwise Estimation with Asynchronous Communication Constraints for two Robots. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway (NJ), 2022, S. 8544 - 8551.
Alessandro Fornasier, Yonhon Ng, Christian Brommer, Christoph Böhm, Robert Mahony, Stephan Michael Weiss: Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation With Online Calibration. IEEE Robotics and Automation Letters , IEEE, 7, Piscataway (NJ), 2022, S. 12118 - 12125.
Harald Gietler, Christoph Böhm, Stefan Ainetter, Christian Schöffmann, Friedrich Fraundorfer, Stephan Michael Weiss, Hubert Zangl: Forestry Crane Automation using Learning-based Visual Grasping Point Prediction. 2022 IEEE Sensors Applications Symposium (SAS), IEEE, Piscataway (NJ), 2022, S. 1 - 6.
Martin Scheiber, Alessandro Fornasier, Roland Jung, Christoph Böhm, Rohit Sudhakar Dhakate, Christian Stewart, Jan Steinbrener, Stephan Michael Weiss, Christian Brommer: CNS Flight Stack for Reproducible, Customizable, and Fully Autonomous Applications. IEEE Robotics and Automation Letters, IEEE, 7, Piscataway (NJ), 2022, S. 11283 - 11290.
Hikmet Beyoglu, Stephan Michael Weiss, Bernhard Rinner: Multi-Agent Path Planning and Trajectory Generation for Confined Environments. Proceedings of the 2022 International Conference on Unmanned Aircraft Systems (ICUAS), IEEE, Piscataway (NJ), 2022, S. 655 - 663.
Jan Kazimierz Michalczyk, Christian Schöffmann, Alessandro Fornasier, Jan Steinbrener, Stephan Michael Weiss: Radar-Inertial State-Estimation for UAV Motion in Highly Agile Manoeuvres. Proceedings of the 2022 International Conference on Unmanned Aircraft Systems (ICUAS), IEEE, Piscataway (NJ), 2022,
Alessandro Fornasier, Yonhon Ng, Robert Mahony, Stephan Michael Weiss: Equivariant Filter Design for Inertial Navigation Systems with Input Measurement Biases. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2022) , 2022, S. 4333 - 4339.
Jan Steinbrener, Christian Brommer, Thomas Georg Jantos, Alessandro Fornasier, Stephan Michael Weiss: Improved State Propagation through AI-based Pre-processing andDown-sampling of High-Speed Inertial Data. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2022) , 2022,
Christoph Böhm, Pascal Brault, Quentin Delamare, Paolo Giordano, Stephan Michael Weiss: COP: Control & Observability-aware Planning. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2022) , 2022,
Control of Networked Systems | +43 (0)463 2700 3570 | melissa [dot] aichholzer [at] aau [dot] at
