Rudolph Triebel

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Coauteurs

Wolfram BurgardProfessor of Computer Science, Technical University of NurembergAdresse e-mail validée de utn.de
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandAdresse e-mail validée de ethz.ch
Luciano SpinelloApple. Previously Amazon, UniFreiburg, ETH Zurich PhDAdresse e-mail validée de cs.uni-freiburg.de
Daniel CremersTechnical University of MunichAdresse e-mail validée de tum.de
Kai O. ArrasHead of Robotics Research, Bosch Corporate ResearchAdresse e-mail validée de cs.uni-freiburg.de
Dirk HaehnelStanford University, Carnegie Mellon University, University of Freiburg, University of BonnAdresse e-mail validée de google.com
Oscar Martinez MozosWASP-AI Associate Professor, Örebro University, SwedenAdresse e-mail validée de oru.se
Rohan PaulIndian Institute of Technology DelhiAdresse e-mail validée de cse.iitd.ac.in
Achim J. LilienthalProfessor of Computer Science, AASS Mobile Robotics and Olfaction Lab, Örebro University, SwedenAdresse e-mail validée de oru.se
Patric JensfeltKTH Royal Institute of TechnologyAdresse e-mail validée de kth.se
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnAdresse e-mail validée de igg.uni-bonn.de
Hugo GrimmettLyftAdresse e-mail validée de lyft.com
Rainer KümmerleMagazinoAdresse e-mail validée de magazino.eu
Henrik AndreassonAASS, Orebro Univeristy, SwedenAdresse e-mail validée de oru.se
Paul NewmanProfessor University of OxfordAdresse e-mail validée de robots.ox.ac.uk
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITAdresse e-mail validée de csail.mit.edu
Thomas WindheuserTechnische Universität MünchenAdresse e-mail validée de in.tum.de
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISAdresse e-mail validée de cs.tu-darmstadt.de
Frank DellaertProfessor, Georgia TechAdresse e-mail validée de cc.gatech.edu
Pierre BessiereCNRS - College de France - LPPAAdresse e-mail validée de imag.fr

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Rudolph Triebel

DLR and Technical University Munich

Adresse e-mail validée de in.tum.de - Page d'accueil

Robotics Machine Learning Perception Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Implicit 3d orientation learning for 6d object detection from rgb images M Sundermeyer, ZC Marton, M Durner, M Brucker, R Triebel Proceedings of the european conference on computer vision (ECCV), 699-715, 2018	443	2018
Multi-level surface maps for outdoor terrain mapping and loop closing R Triebel, P Pfaff, W Burgard 2006 IEEE/RSJ international conference on intelligent robots and systems …, 2006	438	2006
Map building with mobile robots in dynamic environments D Hahnel, R Triebel, W Burgard, S Thrun 2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003	372	2003
A system for volumetric robotic mapping of abandoned mines S Thrun, D Hahnel, D Ferguson, M Montemerlo, R Triebel, W Burgard, ... 2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003	368	2003
Spencer: A socially aware service robot for passenger guidance and help in busy airports R Triebel, K Arras, R Alami, L Beyer, S Breuers, R Chatila, M Chetouani, ... Field and service robotics, 607-622, 2016	251	2016
Supervised semantic labeling of places using information extracted from sensor data OM Mozos, R Triebel, P Jensfelt, A Rottmann, W Burgard Robotics and Autonomous Systems 55 (5), 391-402, 2007	251	2007
An efficient extension to elevation maps for outdoor terrain mapping and loop closing P Pfaff, R Triebel, W Burgard The International Journal of Robotics Research 26 (2), 217-230, 2007	196	2007
A layered approach to people detection in 3d range data L Spinello, K Arras, R Triebel, R Siegwart Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1625-1630, 2010	170	2010
Toward Automated Driving in Cities using Close-to-Market Sensors P Furgale, U Schwesinger, M Rufli, W Derendarz, R Siegwart Proc. of IEEE Intelligent Vehicles Symposium, 2013	148*	2013
A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... arXiv preprint arXiv:2107.03342, 2021	145	2021
Multiclass multimodal detection and tracking in urban environments L Spinello, R Triebel, R Siegwart The International Journal of Robotics Research 29 (12), 1498-1515, 2010	143	2010
Monte carlo localization in outdoor terrains using multilevel surface maps R Kümmerle, R Triebel, P Pfaff, W Burgard Journal of Field Robotics 25 (6‐7), 346-359, 2008	136	2008
Captcha recognition with active deep learning F Stark, C Hazırbas, R Triebel, D Cremers Workshop new challenges in neural computation 2015, 94, 2015	116	2015
Robust 3D scan point classification using associative Markov networks R Triebel, K Kersting, W Burgard Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	102	2006
Learning to drive using inverse reinforcement learning and deep q-networks S Sharifzadeh, I Chiotellis, R Triebel, D Cremers arXiv preprint arXiv:1612.03653, 2016	89	2016
Using hierarchical EM to extract planes from 3D range scans R Triebel, W Burgard, F Dellaert Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005	88	2005
Segmentation and unsupervised part-based discovery of repetitive objects R Triebel, J Shin, R Siegwart Robotics: Science and Systems VI, 1-8, 2010	83	2010
Instance-based AMN classification for improved object recognition in 2D and 3D laser range data R Triebel, R Schmidt, OM Mozos, W Burgard Proceedings of the 20th international joint conference on Artifical …, 2007	78	2007
Improving simultaneous mapping and localization in 3d using global constraints R Triebel, W Burgard Proceedings of the National Conference on Artificial Intelligence 20 (3), 1330, 2005	76	2005
Towards mapping of cities P Pfaff, R Triebel, C Stachniss, P Lamon, W Burgard, R Siegwart Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007	75	2007

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