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
Daniel CremersTechnical University of MunichAdresse e-mail validée de tum.de
Luciano SpinelloApple. Previously Amazon, UniFreiburg, ETH Zurich PhDAdresse e-mail validée de cs.uni-freiburg.de
Kai O. ArrasProfessor of Autonomous SystemsAdresse e-mail validée de ki.uni-stuttgart.de
Oscar Martinez MozosAssociate ProfessorAdresse e-mail validée de oru.se
Rohan PaulIndian Institute of Technology DelhiAdresse e-mail validée de cse.iitd.ac.in
Patric JensfeltKTH Royal Institute of TechnologyAdresse e-mail validée de kth.se
Achim J. LilienthalProfessor of Computer Science at Technical University of Munich and Örebro UniversityAdresse e-mail validée de oru.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
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISAdresse e-mail validée de cs.tu-darmstadt.de
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
Frank DellaertProfessor, Georgia TechAdresse e-mail validée de cc.gatech.edu
Pierre BessiereCNRS - College de France - LPPAAdresse e-mail validée de imag.fr
Anna PetrovskayaStanford UniversityAdresse e-mail validée de cs.stanford.edu

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Rudolph Triebel

German Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)

Adresse e-mail validée de kit.edu

Robotics Machine Learning Perception Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... Artificial Intelligence Review 56 (Suppl 1), 1513-1589, 2023	1307	2023
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	684	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	504	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	414	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	401	2003
Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes M Sundermeyer, A Mousavian, R Triebel, D Fox 2021 IEEE International Conference on Robotics and Automation (ICRA), 13438 …, 2021	381	2021
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: Results of the 10th International Conference …, 2016	334	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	258	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	213	2007
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	207	2010
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	187	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	173*	2013
Augmented autoencoders: Implicit 3d orientation learning for 6d object detection M Sundermeyer, ZC Marton, M Durner, R Triebel International Journal of Computer Vision 128 (3), 714-729, 2020	148	2020
Captcha recognition with active deep learning F Stark, C Hazırbas, R Triebel, D Cremers Workshop new challenges in neural computation 2015, 94, 2015	146	2015
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	146	2008
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	131	2016
Multi-path learning for object pose estimation across domains M Sundermeyer, M Durner, EY Puang, ZC Marton, N Vaskevicius, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	116	2020
Non-parametric calibration for classification J Wenger, H Kjellström, R Triebel International Conference on Artificial Intelligence and Statistics, 178-190, 2020	114	2020
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	113	2006
Blenderproc2: A procedural pipeline for photorealistic rendering M Denninger, D Winkelbauer, M Sundermeyer, W Boerdijk, MW Knauer, ... Journal of Open Source Software 8 (82), 4901, 2023	105	2023

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