| OctoMap: An efficient probabilistic 3D mapping framework based on octrees A Hornung, KM Wurm, M Bennewitz, C Stachniss, W Burgard Autonomous robots 34, 189-206, 2013 | 3586 | 2013 |
| Improved techniques for grid mapping with rao-blackwellized particle filters G Grisetti, C Stachniss, W Burgard IEEE transactions on Robotics 23 (1), 34-46, 2007 | 3346 | 2007 |
| Semantickitti: A dataset for semantic scene understanding of lidar sequences J Behley, M Garbade, A Milioto, J Quenzel, S Behnke, C Stachniss, J Gall Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2229 | 2019 |
| A tutorial on graph-based SLAM G Grisetti, R Kümmerle, C Stachniss, W Burgard IEEE Intelligent Transportation Systems Magazine 2 (4), 31-43, 2010 | 1819 | 2010 |
| Coordinated multi-robot exploration W Burgard, M Moors, C Stachniss, FE Schneider IEEE Transactions on robotics 21 (3), 376-386, 2005 | 1570 | 2005 |
| Rangenet++: Fast and accurate lidar semantic segmentation A Milioto, I Vizzo, J Behley, C Stachniss 2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019 | 1266 | 2019 |
| Improving grid-based slam with rao-blackwellized particle filters by adaptive proposals and selective resampling G Grisetti, C Stachniss, W Burgard Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005 | 1211 | 2005 |
| Information gain-based exploration using rao-blackwellized particle filters. C Stachniss, G Grisetti, W Burgard Robotics: Science and systems 2 (1), 65-72, 2005 | 677 | 2005 |
| OctoMap: A probabilistic, flexible, and compact 3D map representation for robotic systems KM Wurm, A Hornung, M Bennewitz, C Stachniss, W Burgard Proc. of the ICRA 2010 workshop on best practice in 3D perception and …, 2010 | 674 | 2010 |
| Real-time semantic segmentation of crop and weed for precision agriculture robots leveraging background knowledge in CNNs A Milioto, P Lottes, C Stachniss 2018 IEEE international conference on robotics and automation (ICRA), 2229-2235, 2018 | 548 | 2018 |
| Efficient surfel-based SLAM using 3D laser range data in urban environments. J Behley, C Stachniss Robotics: science and systems 2018, 59, 2018 | 511 | 2018 |
| Suma++: Efficient lidar-based semantic slam X Chen, A Milioto, E Palazzolo, P Giguere, J Behley, C Stachniss 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 510 | 2019 |
| On measuring the accuracy of SLAM algorithms R Kümmerle, B Steder, C Dornhege, M Ruhnke, G Grisetti, C Stachniss, ... Autonomous Robots 27, 387-407, 2009 | 495 | 2009 |
| UAV-based crop and weed classification for smart farming P Lottes, R Khanna, J Pfeifer, R Siegwart, C Stachniss 2017 IEEE international conference on robotics and automation (ICRA), 3024-3031, 2017 | 492 | 2017 |
| A tree parameterization for efficiently computing maximum likelihood maps using gradient descent. G Grisetti, C Stachniss, S Grzonka, W Burgard Robotics: Science and Systems 3, 9, 2007 | 360 | 2007 |
| Robust Map Optimization Using Dynamic Covariance Scaling P Agarwal, GD Tipaldi, L Spinello, C Stachniss, W Burgard In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2013 | 356 | 2013 |
| Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields N Chebrolu, P Lottes, A Schaefer, W Winterhalter, W Burgard, C Stachniss The International Journal of Robotics Research 36 (10), 1045-1052, 2017 | 352 | 2017 |
| Coordinated multi-robot exploration using a segmentation of the environment KM Wurm, C Stachniss, W Burgard 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 349 | 2008 |
| Supervised learning of places from range data using adaboost OM Mozos, C Stachniss, W Burgard Proceedings of the 2005 IEEE international conference on robotics and …, 2005 | 316 | 2005 |
| Nonlinear constraint network optimization for efficient map learning G Grisetti, C Stachniss, W Burgard IEEE Transactions on Intelligent Transportation Systems 10 (3), 428-439, 2009 | 312 | 2009 |
Wolfram BurgardProfessor of Computer Science, Technical University of Nuremberg在 utn.de 的電子郵件地址已通過驗證
