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Friedrich Fraundorfer

Friedrich Fraundorfer

D-Index & Metrics

Computer Science

D-Index
40
Citations
15109
World Ranking
9030
National Ranking
79

Overview

Friedrich Fraundorfer is affiliated with Graz University of Technology in Austria. Their research primarily focuses on the intersection of computer science and engineering, with particular emphasis on computer vision and pattern recognition.

Their work spans the following main fields of study:

  • Computer Science
  • Engineering

Within these domains, Fraundorfer has contributed extensively to subfields such as:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Environmental Engineering
  • Ocean Engineering
  • Media Technology

The main research topics covered in their publications include:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Remote Sensing and LiDAR Applications
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Automated Road and Building Extraction

Friedrich Fraundorfer has published in various venues, with the most frequent being:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • elib (German Aerospace Center)
  • Remote Sensing
  • 2022 26th International Conference on Pattern Recognition (ICPR)

Key recent papers authored or co-authored by Fraundorfer include:

  • "PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Relative Pose Estimation With a Single Affine Correspondence," 2021, IEEE Transactions on Cybernetics
  • "Minimal Solvers for Relative Pose Estimation of Multi-Camera Systems using Affine Correspondences," 2022, International Journal of Computer Vision
  • "HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images," 2021, IEEE Access
  • "Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent collaborators in Fraundorfer's research network include:

  • Pablo d'Angelo
  • Mario Fuentes Reyes
  • Sinisa Stekovic
  • Vincent Lepetit
  • Christian Sormann

The body of work produced by Friedrich Fraundorfer addresses advancements in image processing, 3D reconstruction, and robotic localization, applying these methods to environmental and aerospace engineering challenges as well as remote sensing applications. Their research outputs contribute to interdisciplinary efforts combining technical innovations in computer vision and sensor technology across diverse application domains.

Best Publications

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Visual Odometry [Tutorial]

    D. Scaramuzza;F. Fraundorfer

  • Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications

    F. Fraundorfer;D. Scaramuzza

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

    Lorenz Meier;Petri Tanskanen;Lionel Heng;Gim Hee Lee

  • PIXHAWK: A system for autonomous flight using onboard computer vision

    Lorenz Meier;Petri Tanskanen;Friedrich Fraundorfer;Marc Pollefeys

  • Real-Time Monocular Visual Odometry for On-Road Vehicles with 1-Point RANSAC

    Davide Scaramuzza;Friedrich Fraundorfer;Roland Siegwart

  • Vision-based autonomous mapping and exploration using a quadrotor MAV

    Friedrich Fraundorfer;Lionel Heng;Dominik Honegger;Gim Hee Lee

  • Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments

    Davide Scaramuzza;Michael C Achtelik;Lefteris Doitsidis;Friedrich Fraundorfer

  • Topological mapping, localization and navigation using image collections

    F. Fraundorfer;C. Engels;D. Nister

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

    Christian Häne;Lionel Heng;Gim Hee Lee;Friedrich Fraundorfer

  • Motion Estimation for Self-Driving Cars with a Generalized Camera

    Gim Hee Lee;Friedrich Faundorfer;Marc Pollefeys

  • A minimal case solution to the calibrated relative pose problem for the case of two known orientation angles

    Friedrich Fraundorfer;Petri Tanskanen;Marc Pollefeys

  • Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks

    Muhammad Shahzad;Michael Maurer;Friedrich Fraundorfer;Yuanyuan Wang

  • Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints

    Davide Scaramuzza;Friedrich Fraundorfer;Marc Pollefeys;Roland Siegwart

  • Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project

    Paul Furgale;Ulrich Schwesinger;Martin Rufli;Wojciech Derendarz

  • Autonomous obstacle avoidance and maneuvering on a vision-guided MAV using on-board processing

    Lionel Heng;Lorenz Meier;Petri Tanskanen;Friedrich Fraundorfer

  • Autonomous Visual Mapping and Exploration With a Micro Aerial Vehicle

    Lionel Heng;Dominik Honegger;Gim Hee Lee;Lorenz Meier

  • Robust pose-graph loop-closures with expectation-maximization

    Gim Hee Lee;Friedrich Fraundorfer;Marc Pollefeys

  • IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, 2008

    C. Wu;F. Fraundorfer;J.-M. Frahm;Marc Pollefeys

  • Evaluation of CNN-based Single-Image Depth Estimation Methods

    Tobias Koch;Lukas Liebel;Friedrich Fraundorfer;Marco Körner

Frequent Co-Authors

Horst Bischof
Horst Bischof Graz University of Technology
Marc Pollefeys
Marc Pollefeys ETH Zurich
Gim Hee Lee
Gim Hee Lee National University of Singapore
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Peter Reinartz
Peter Reinartz German Aerospace Center
Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Dieter Schmalstieg
Dieter Schmalstieg University of Stuttgart

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