| 3-D mapping with an RGB-D camera F Endres, J Hess, J Sturm, D Cremers, W Burgard IEEE transactions on robotics 30 (1), 177-187, 2013 | 1104 | 2013 |
| An evaluation of the RGB-D SLAM system F Endres, J Hess, N Engelhard, J Sturm, D Cremers, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2012, 1691-1696, 2012 | 1032 | 2012 |
| Real-time 3D visual SLAM with a hand-held RGB-D camera N Engelhard, F Endres, J Hess, J Sturm, W Burgard Proc. of the RGB-D Workshop on 3D Perception in Robotics at the European …, 2011 | 437 | 2011 |
| Temporary maps for robust localization in semi-static environments D Meyer-Delius, J Hess, G Grisetti, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2010 | 82 | 2010 |
| Null space optimization for effective coverage of 3D surfaces using redundant manipulators J Hess, GD Tipaldi, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2012 | 64 | 2012 |
| A probabilistic approach to high-confidence cleaning guarantees for low-cost cleaning robots J Hess, M Beinhofer, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 5600-5605, 2014 | 39 | 2014 |
| Poisson-driven dirt maps for efficient robot cleaning J Hess, M Beinhofer, D Kuhner, P Ruchti, W Burgard 2013 IEEE International Conference on Robotics and Automation, 2245-2250, 2013 | 28 | 2013 |
| Monocular range sensing: A non-parametric learning approach C Plagemann, F Endres, J Hess, C Stachniss, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2008, 929-934, 2008 | 24 | 2008 |
| A nonparametric learning approach to range sensing from omnidirectional vision C Plagemann, C Stachniss, J Hess, F Endres, N Franklin Robotics and Autonomous Systems 58 (6), 762-772, 2010 | 23 | 2010 |
| PtyLab. m/py/jl: a cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography L Loetgering, M Du, D Boonzajer Flaes, T Aidukas, F Wechsler, ... Optics Express 31 (9), 13763-13797, 2023 | 17 | 2023 |
| Learning the state transition model to efficiently clean surfaces with mobile manipulation robots J Hess, J Sturm, W Burgard Proc. of the Workshop on Manipulation under Uncertainty at the IEEE …, 2011 | 13 | 2011 |
| Viewpoint selection for visual failure detection A Saran, B Lakic, S Majumdar, J Hess, S Niekum 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 11 | 2017 |
| 6D visual SLAM for RGB-D sensors F Endres, J Hess, N Engelhard, J Sturm, W Burgard at-Automatisierungstechnik 60 (5), 270-278, 2012 | 10 | 2012 |
| ptyLab: a cross-platform inverse modeling toolbox for conventional and Fourier ptychography L Loetgering, T Aidukas, M Du, DB Flaes, D Penagos, M Rose, ... Computational Optical Sensing and Imaging, CW6B. 3, 2021 | 8 | 2021 |
| Characterizing Dynamic Objects in 3D Laser Range Data JM Hess Master's thesis, Albert-Ludwigs-Universität Freiburg, 2008 | 6 | 2008 |
| Efficient Approaches to Cleaning with Mobile Robots JM Hess Albert-Ludwigs-Universität Freiburg, 2015 | 5 | 2015 |
| Online− 6D-SLAM für RGB-D-Sensoren F Endres, J Hess, N Engelhard, J Sturm, W Burgard Oldenbourg Wissenschaftsverlag GmbH 60 (5), 270-278, 2012 | 5 | 2012 |
| Learning to Efficiently Clean Surfaces with Mobile Manipulation Robots J Hess Proc. of the Workshop on Manipulation under Uncertainty at the IEEE Int …, 2011 | 1 | 2011 |
| Weakly Supervised End2End Deep Visual Odometry A Abouee, A Ravi, L Hinneburg, M Dziwulski, F Ölsner, J Hess, S Milz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| An ensemble approach for histopathological classification of vulvar cancer RV Mushunuri, M Choschzick, UD Braumann, J Hess Medical Imaging 2023: Digital and Computational Pathology 12471, 516-529, 2023 | | 2023 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergBestätigte E-Mail-Adresse bei utn.de
