Organisation: Institute of Computer Graphics and Vision, Graz University of Technology (ICG/TUG)
Address: Inffeldgasse 16/II, 8010 Graz, Austria
Contact: Mr. Christian Mostegel (Tel: +43 (316) 873 - 5018, mostegel(at)icg.tugraz.at)
- Horst Bischof (ICG/TUG)
- Friedrich Fraundorfer (TUM)
- Daniel Muschick (IRT/TUG)
- Thomas Holzmann (ICG/TUG)
- Michael Maurer (ICG /TUG)
- Shreyansh Daftry (ICG /TUG)
- Wolfgang Schütz (IRT/TUG)
- Rudolf Prettenthaler (ICG /TUG)
Our team is composed of researchers from the Aerial Vision Group (Institute of Computer Graphics and Vision (ICG)) and the Institute of Automation and Control (IRT) at Graz University of Technology (TUG), as well as the Technische Universität München (TUM). The Aerial Vision Group has profound expertise in the field of 3D reconstruction from images acquired by MAVs. This knowledge is not limited to a single technique, but covers a wide range of reconstruction approaches including sparse point clouds, edge-based reconstruction, dense and volumetric reconstructions. While the main focus of the group is 3D reconstruction from monocular images, it has also demonstrated its capabilities in the field of autonomous robotics, including view planning algorithms for active vision, visual servoing as well as autonomous navigation and path planning. Friedrich Fraundorfer will support the team with his expertise in robot vision, visual-inertial fusion and autonomous systems. The members from the Institute of Automation and Control will complete the team with their thorough knowledge in controlling and experience in the RoboCup Middle-Size League.
Horst Bischof is a full Professor for computer vision and Vice Rector at Graz University of Technology. His research interests include 3D computer vision, object recognition, visual learning, tracking and many more where he has published more than 600 peer reviewed scientific papers.
Friedrich Fraundorfer is currently a senior researcher, lecturer and Deputy Director of the Chair of Remote Sensing Technology at Technische Universität München (TUM), Germany. His research interests include 3D computer vision, robot vision, visual-inertial fusion, MAVs, autonomous systems, aerial imaging where he has more than 50 peer reviewed scientific papers.
Christian Mostegel is a research assistant at ICG with a research focus of active vision and autonomy for MAVs. His very recent ICRA’14 paper closed the gap between monocular SLAM approaches and autonomous aerial robots and was honoured by being named “Best Student Paper Award – Finalist”.
Daniel Muschick is a research assistant at the Institute for Automation and Control (IRT). Despite his profound knowledge in controlling, he gained a significant amount of experience with autonomous robots through being an active member of the RoboCup Middle-Size Team.
Thomas Holzmann, Michael Maurer and Shreyansh Daftry are research assistants at ICG with research interests in 3D computer vision and autonomous robotics.
Rudolf Prettenthaler and Wolfgang Schütz are graduate students and will support the team during the challenge.
Some selected papers which are relevant to the EuRoC:
- “Active Monocular Localization: Towards Autonomous Monocular Exploration for Multirotor MAVs”, C. Mostegel, A. Wendel, H. Bischof. ICRA, 2014. (Best Student Paper Award – Finalist)
- “Dense Reconstruction On-the-Fly”, A. Wendel, M. Maurer, G. Graber, T. Pock, H. Bischof. CVPR, 2012.
- “Fuzzy Visual Servoing for Micro Aerial Vehicles”, A. Wendel, M. Maurer, M. Katusic, H. Bischof. In Proceedings of the Austrian Robotics Workshop (ARW), 2012.
- “„Mostly Harmless: Team Description“, S. Galler, H. Altinger, B. Bergler, A. Hieden, C. Hoppe, T. Joham, T. Magnet, M. Maier, S. Mühlbacher-Karrer, D. Muschick, C. Preschern, G. Steinbauer, R. Unterberger, F. Wotawa. In Proceedings of the International RoboCup Symposium, 2009.
- “Visual odometry : Part II : Matching, robustness, optimization, and applications”, F. Fraundorfer and D. Scaramuzza. Robotics Automation Magazine, IEEE, 19(2):78-90, June 2012.
More publications and videos can be found at aerial.icg.tugraz.at, goo.gl/uq3e3C and goo.gl/UUhEVi