Our research focus is the the area of 3D computer vision including vision for robotics. A specific focus is on the topic of computer vision for camera drones, e.g. for aerial image processing or camera based navigation. We operate a variety of camera drones of different sizes and also operate an indoor flying arena.
November 16, 2018
Our post delivery drone prototype is being featured at the exhibition "Arbeit & Produktion" at the Vienna Museum of Technology (Technisches Museum Wien). Read more information about it in this news article, and checkout our picture of the drone [JPG].
Our work on search and rescue drones got featured in the TV program P.M. Wissen. The documentary film about the topic of search and rescue drones, of which our work was a part of, was aired the 18.10.18 by ServusTV in the TV program P.M. Wissen.
We presented a poster about our Inventory Drone feasibility project prototype in the IROS 2018 Workshop - Robotics for logistics in warehouses and environments shared with humans - in Madrid, Spain the 5th October, 2018. Our extended abstract entitled "Towards an Autonomous Vision-based Inventory Drone" is available: [PDF], [REFILLS Project - Events] and [PDF]. The full program of the workshop is available [IROS2018W Programme] and [REFILLS Project - Events].
We presented our paper "AUTOMATED INSPECTION OF POWER LINE CORRIDORS TO MEASURE VEGETATION UNDERCUT USING UAV-BASED IMAGES" [pdf] at the UAVg 2017 at Bonn from September 04th-07th.
Our papers "Combining Edge Images and Depth Maps for Robust Visual Odometry" [pdf] and "Plane-based Surface Regularization for Urban 3D Reconstruction" have been accepted and will be presented at this years' BMVC from 4th -7th September at Imperial College London.
The book "Computer Vision in Vehicle Technology: Land, Sea, and Air" is now available online and as printed book. It contains a chapter about "Computer Vision for MAVs" written by Friedrich Fraundorfer.
Our team got awarded an Amazon gift for continuing our drone related research.
Our paper has been accepted for publication at CVPR 2017!
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity. Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof.
Our paper "Regularized 3D Modeling from Noisy Building Reconstructions" has been accepted for publication at 3DV'16! You can download a preprint version from [here].
We presented our "Intelligent Search and Rescue Drone" in the Ars Electronica Festival 2016 - DroneLab, Linz, September 8-12, 2016. This was a great opportunity to approach the general public about civilian applications for drones and research made in the ICG (TU Graz). We used this opportunity to show our drone and the capabilities of our 3D resconstruction software, and to describe the Graz Griffins', our team, participation in the 2016 DJI Developer Challenge.
Our team, the Graz Griffins is one of 10 teams which qualified for the 3rd round of the DJI Developer Challenge2016 (Team Listings)! Hence, we are allowed to participate in the final competition end of August at the Griffiss International Airport, Rome, New York, USA. [more]
We are happy to announce that two of our papers got accepted to CVPR this year. One paper (Using Self-Contradiction to Learn Confidence Measures in Stereo Vision) will be presented at the main conference and a second paper (UAV-based Autonomous Image Acquisition with Multi-View Stereo Quality Assurance by Confidence Prediction) at the CVPR workshop on Computer Vision in Vehicle Technology.
We are happy to announce that our journal paper got accepted at Computer Vision and Image Understanding (CVIU). More details can be found in the Publications section.
Our team, the Graz
Griffins, has qualified to participate in the 2016 DJI Developer Challenge (see Challengers >> 1st round), among only 25 teams worldwide. The team consists of members from the IRT and the ICG, both institutes at the TU Graz. We will now receive our Developer Package, which includes the DJI Matrice M100 quadcopter equipped with the impressive DJI Guidance multipurpose sensing system, a Gimbal Zenmuse X3 camera and a DJI Manifold onboard computer!