Friedrich Fraundorfer

Ass.Prof. Dipl.-Ing. Dr.techn.

1995 …2021
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Forschungsoutput 2002 2019

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3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection

Häne, C., Heng, L., Lee, G. H., Fraundorfer, F., Furgale, P., Sattler, T. & Pollefeys, M., 1 Dez 2017, in : Image and Vision Computing. 68, S. 14-27 14 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Railroad cars
Cameras
Calibration
Pipelines
Navigation

A Detailed Description of Direct Stereo Visual Odometry Based on Lines

Holzmann, T., Fraundorfer, F. & Bischof, H., 9 Aug 2017, in : Communications in Computer and Information Science. 693

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Aerial image sequence geolocalization with road traffic as invariant feature

Máttyus, G. & Fraundorfer, F., 1 Aug 2016, in : Image and Vision Computing. 52, S. 218-229 12 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Telecommunication traffic
Antennas
Global positioning system
Railroad cars
Imaging systems

Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery

Partovi, T., Fraundorfer, F., Bahmanyar, R., Huang, H. & Reinartz, P., 2019, in : Remote Sensing . 11, 14, 1660.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
satellite imagery
roof
data acquisition
satellite data
disaster

Automatic and Semantically-Aware 3D UAV Flight Planning for Image-Based 3D Reconstruction

Koch, T., Körner, M. & Fraundorfer, F., 2019, in : Remote Sensing . S. 1550

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

flight
heuristics
planning process
trajectory
methodology

Automatic Annotation of Airborne Images by Label Propagation Based on a Bayesian-CRF Model

Xiangyu, Z., Fraundorfer, F., Kurz, F. & Reinartz, P., 2019, in : Remote Sensing . 11, 2, 145.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
imagery
pixel
learning
image classification
labor

Automatic UAV image geo-registration by matching UAV images to georeferenced image data

Zhuo, X., Koch, T., Kurz, F., Fraundorfer, F. & Reinartz, P., 1 Apr 2017, in : Remote Sensing . 9, 4, 376.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
registration
vehicle
orthophoto
GNSS
nadir

Autonomous visual mapping and exploration with a micro aerial vehicle

Heng, L., Honegger, D., Lee, G. H., Meier, L., Tanskanen, P., Fraundorfer, F. & Pollefeys, M., 2014, in : Journal of field robotics. 31, 4, S. 654-675 22 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Antennas
Micro air vehicle (MAV)
Cameras
Optical flows
Sensors

Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks

Shahzad, M., Maurer, M., Fraundorfer, F., Wang, Y. & Zhu, X. X., Feb 2019, in : IEEE transactions on geoscience and remote sensing. 57, 2, S. 1100-1116 17 S., 8486983.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Synthetic aperture radar
Convolution
synthetic aperture radar
Neural networks
Image classification

Camera Pose Estimation Based on PnL With a Known Vertical Direction

Lecrosnier, L., Boutteau, R., Vasseur, P., Savatier, X. & Fraundorfer, F., 2019, in : IEEE Robotics and Automation Letters. 4, 4, S. 3852-3859

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Cameras
Units of measurement
Sensors

Damage Estimation of Explosions in Urban Environments by Simulation

Mohr, L., Benauer, R., Leitl, P. A. & Fraundorfer, F., 2019, in : International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. S. 253-260

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Explosions
Semantics
Detonation
Disasters
Antennas

Deep 2.5 D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems

Waltner, G., Maurer, M., Holzmann, T., Ruprecht, P., Opitz, M., Possegger, H., Fraundorfer, F. & Bischof, H., 2018, in : arXiv.org e-Print archive. 6 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance

Rumpler, M., Tscharf, A., Mostegel, C., Daftry, S., Hoppe, C., Prettenthaler, R., Fraundorfer, F., Mayer, G. & Bischof, H., 2017, in : Computer vision and image understanding. 157, S. 255-273

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

High-Level Teleoperation System For Aerial Exploration Of Indoor Environments

Isop, W. A., Gebhardt, C., Nägeli, T., Fraundorfer, F., Hilinges, O. & Schmalstieg, D., 2019, in : Frontiers in Robotics and AI. 22 S., 95.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
Remote control
Automation
Antennas
Decision making
Topology

Homography Based Egomotion Estimation with a Common Direction

Saurer, O., Vasseur, P., Boutteau, R., Demonceaux, C., Pollefeys, M. & Fraundorfer, F., 1 Feb 2016, in : IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 2, S. 327-341 15 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Minimal solutions for the multicamera pose estimation problem.

Lee, G. H., Li, B., Pollefeys, M. & Fraundorfer, F., 2015, in : The International Journal of Robotics Research. 34, 7, S. 837-848

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Minimal solutions for the rotational alignment of IMU-camera systems using homography constraints

Banglei, G., Qifeng, Y. & Fraundorfer, F., 2018, in : Computer vision and image understanding. S. 79 - 91

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification

Bittner, K., Körner, M., Fraundorfer, F. & Reinartz, P., 2019, in : Remote Sensing . 11, 11, 1262.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
roof
learning
pixel
segmentation
multiple regression

Optimization of OpenStreetMap Building Footprints Based on Semantic Information of Oblique UAV Images

Zhuo, X., Fraundorfer, F., Kurz, F. & Reinartz, P., 2018, in : Remote Sensing . 10, 4, 624.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
footprint
segmentation
ATKIS
image resolution
vehicle

Overview Obstacle Maps for Obstacle Aware Navigation of Autonomous Drones

Pestana Puerta, J., Maurer, M., Muschick, D., Hofer, M. & Fraundorfer, F., 2019, in : Journal of field robotics. 36, 4, Spec. Iss., S. 734-762 29 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Open Access
Navigation
Photogrammetry
Drones
Trajectories
Robots

Piecewise planar scene reconstruction from sparse correspondences

Fraundorfer, F. & Bischof, H., 2006, in : Image and Vision Computing. S. 395-406

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

PIXHAWK -A micro aerial vehicle design for autonomous flight using onboard computer vision

Meier, L., Tanskanen, P., Heng, L., Lee, G. H., Fraundorfer, F. & Pollefeys, M., Aug 2012, in : Autonomous Robots. 33, 1-2, S. 21-39 19 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Micro air vehicle (MAV)
Computer vision
Stereo vision
Antennas
Synchronization

Prioritized multi-view stereo depth map generation using confidence prediction

Mostegel, C., Fraundorfer, F. & Bischof, H., 2018, in : ISPRS journal of photogrammetry and remote sensing.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Roof type selection based on patch-based classification using deep learning for high resolution satellite imagery

Partovi, T., Fraundorfer, F., Azimi, S., Marmanis, D. & Reinartz, P., 30 Mai 2017, in : International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 42, 1W1, S. 653-657 5 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Satellite imagery
satellite imagery
Roofs
roof
learning

Self-Supervised Convolutional Neural Networks for Plant Reconstruction Using Stereo Imagery

Xia, Y., d'Angelo, P., Tian, J., Fraundorfer, F. & Reinartz, P., 2019, in : Photogrammetric engineering & remote sensing. 85, 5, S. 389-399 11 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

imagery
Neural networks
cost
Costs
census

Structure-from-motion for MAV image sequence analysis with photogrammetric applications

Schönberger, J. L., Fraundorfer, F. & Frahm, J. M., 2014, in : The international archives of photogrammetry, remote sensing and spatial information sciences . 40, 3, S. 305-312 8 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Micro air vehicle (MAV)
Image acquisition
Computational complexity
imagery
Pipelines

Tutorial: Visual odometry

Scaramuzza, D. & Fraundorfer, F., Dez 2011, in : IEEE Robotics & Automation Magazine . 18, 4, S. 80-92 13 S., 6096039.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Wheels
Cameras
Augmented reality
Robotics
Textures

UAV-based monitoring of pedestrian groups

Burkert, F. & Fraundorfer, F., 2013, in : The international archives of photogrammetry, remote sensing and spatial information sciences . 40, 1W2, S. 67-72 6 S.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

pedestrian
Unmanned aerial vehicles (UAV)
monitoring
Detectors
scenario

UAVs zur Qualitätssteuerung im Tagbau

Tscharf, A., Mayer, G., Fraundorfer, F. & Gaich, A., 2018, in : Berg- und hüttenmännische Monatshefte. S. 124 - 130

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Visual odometry: Part II: Matching, robustness, optimization, and applications

Fraundorfer, F. & Scaramuzza, D., 2012, in : IEEE Robotics & Automation Magazine . 19, 2, S. 78-90 13 S., 6153423.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Wheels
Textures
Cameras
Color