Friedrich Fraundorfer

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Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftEmail confirmado em inf.ethz.ch
Horst BischofGraz University of TechnologyEmail confirmado em icg.tugraz.at
Gim Hee LeeAssociate Professor of Computer Science, National University of SingaporeEmail confirmado em comp.nus.edu.sg
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichEmail confirmado em ifi.uzh.ch
Petri TanskanenETH ZürichEmail confirmado em inf.ethz.ch
Xiao Xiang ZhuTechnical University of MunichEmail confirmado em tum.de
Lionel HengDirector of Robotics Autonomy Lab, DSO National LaboratoriesEmail confirmado em ieee.org
Lorenz MeierETH ZurichEmail confirmado em inf.ethz.ch
Peter ReinartzHead of Department at German Aerospace Center (DLR), Prof. at University of OsnabrueckEmail confirmado em dlr.de
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandEmail confirmado em ethz.ch
Banglei GuanNational University of Defense TechnologyEmail confirmado em nudt.edu.cn
Tobias KochTechnical University of Munich, Chair of Remote Sensing TechnologyEmail confirmado em tum.de
Christian MostegelNvidiaEmail confirmado em nvidia.com
Marco KörnerTechnical University of Munich (TUM)Email confirmado em tum.de
Fabian SchenkGraz University of TechnologyEmail confirmado em icg.tugraz.at
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Email confirmado em epfl.ch
Lichao MouGerman Aerospace Center (DLR), Technical University of Munich (TUM)Email confirmado em dlr.de
Jan-Michael FrahmProfessor, Computer Science, University of North Carolina at Chapel HillEmail confirmado em cs.unc.edu
Olivier SaurerETH ZurichEmail confirmado em inf.ethz.ch
Thomas HolzmannResearch Assistant, Graz University of TechnologyEmail confirmado em icg.tugraz.at

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Friedrich Fraundorfer

Professor, TU Graz

Email confirmado em icg.tugraz.at - Página inicial

Computer Vision Robotics Machine Learning Photogrammetry Remote Sensing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Deep Learning in Remote Sensing: A Review X Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer IEEE Geoscience and Remote Sensing Magazine (GRSM), 2017	3078*	2017
Visual Odometry: Part I The First 30 Years and Fundamentals D Scaramuzza, F Fraundorfer	2129*
Pixhawk: A system for autonomous flight using onboard computer vision L Meier, P Tanskanen, F Fraundorfer, M Pollefeys Robotics and Automation (ICRA), 2011 IEEE International Conference on, 2992-2997, 2011	1065*	2011
Visual Odometry: Part II: Matching, Robustness, Optimization, and Applications F Fraundorfer, D Scaramuzza Robotics & Automation Magazine, IEEE 19 (2), 78-90, 2012	982	2012
PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision L Meier, P Tanskanen, L Heng, GH Lee, F Fraundorfer, M Pollefeys Autonomous Robots 33 (1), 21-39, 2012	518	2012
Vision-based autonomous mapping and exploration using a quadrotor mav F Fraundorfer, L Heng, D Honegger, GH Lee, L Meier, P Tanskanen, ... Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012	439	2012
Real-time monocular visual odometry for on-road vehicles with 1-point ransac D Scaramuzza, F Fraundorfer, R Siegwart Robotics and Automation, 2009. ICRA'09. IEEE International Conference on …, 2009	427	2009
Vision-controlled micro flying robots: from system design to autonomous navigation and mapping in GPS-denied environments D Scaramuzza, MC Achtelik, L Doitsidis, F Fraundorfer, ... IEEE Robotics & Automation Magazine, 1-10, 2013	411	2013
Topological mapping, localization and navigation using image collections F Fraundorfer, C Engels, D Nistér Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International …, 2007	282	2007
3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection C Häne, L Heng, GH Lee, F Fraundorfer, P Furgale, T Sattler, M Pollefeys Image and Vision Computing 68, 14-27, 2017	256	2017
Motion Estimation for Self-Driving Cars With a Generalized Camera GH Lee, F Fraundorfer, M Pollefeys Computer Vision and Pattern Recognition, 2013	207*	2013
Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints D Scaramuzza, F Fraundorfer, M Pollefeys, R Siegwart 2009 IEEE 12th International Conference on Computer Vision, 1413-1419, 2009	175	2009
Toward automated driving in cities using close-to-market sensors: An overview of the v-charge project P Furgale, U Schwesinger, M Rufli, W Derendarz, H Grimmett, ... Intelligent Vehicles Symposium (IV), 2013 IEEE, 809-816, 2013	172	2013
Toward automated driving in cities using close-to-market sensors: An overview of the v-charge project P Furgale, U Schwesinger, M Rufli, W Derendarz, H Grimmett, ... Intelligent Vehicles Symposium (IV), 2013 IEEE, 809-816, 2013	172	2013
A minimal case solution to the calibrated relative pose problem for the case of two known orientation angles F Fraundorfer, P Tanskanen, M Pollefeys European Conference on Computer Vision, 269-282, 2010	172	2010
Evaluation of cnn-based single-image depth estimation methods T Koch, L Liebel, F Fraundorfer, M Korner Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018	162	2018
Autonomous obstacle avoidance and maneuvering on a vision-guided mav using on-board processing L Heng, L Meier, P Tanskanen, F Fraundorfer, M Pollefeys 2011 IEEE International Conference on Robotics and Automation, 2472-2477, 2011	154	2011
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB S Ainetter, F Fraundorfer 2021 IEEE International Conference on Robotics and Automation (ICRA), 13452 …, 2021	135	2021
Robust pose-graph loop-closures with expectation-maximization GH Lee, F Fraundorfer, M Pollefeys 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	128	2013
Autonomous Visual Mapping and Exploration With a Micro Aerial Vehicle L Heng, D Honegger, GH Lee, L Meier, P Tanskanen, F Fraundorfer, ... Journal of Field Robotics 31 (4), 654-675, 2014	124	2014

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