| Plant species classification using a 3D LIDAR sensor and machine learning U Weiss, P Biber, S Laible, K Bohlmann, A Zell 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 95 | 2010 |
| 3d lidar-and camera-based terrain classification under different lighting conditions S Laible, YN Khan, K Bohlmann, A Zell Autonomous Mobile Systems 2012: 22. Fachgespräch Stuttgart, 26. bis 28 …, 2012 | 52 | 2012 |
| Terrain classification with conditional random fields on fused 3D LIDAR and camera data S Laible, YN Khan, A Zell 2013 European Conference on Mobile Robots, 172-177, 2013 | 31 | 2013 |
| Robust Visual Terrain Classification with Recurrent Neural Networks S Otte, S Laible, R Hanten, M Liwicki, A Zell European Symposium on Artificial Neural Networks, Computational Intelligence …, 2015 | 13 | 2015 |
| Building local terrain maps using spatio-temporal classification for semantic robot localization S Laible, A Zell 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 11 | 2014 |
| STARK: A Unified Framework for Strongly Coupled Simulation of Rigid and Deformable Bodies with Frictional Contact JA Fernández-Fernández, R Lange, S Laible, KO Arras, J Bender Materialwissenschaft und Werkstofftechnik 55 (1), 62-71, 2024 | 2 | 2024 |
| Plant detection, mapping and differentiation for autonomous agricultural robots U Weiss, P Biber, S Laible, A Zell 4th International Conference on Cognitive Systems, CogSys, 2010, 2010 | 2 | 2010 |
| Klassifikation von Pflanzen anhand 3D-Laserscanner-Daten mittels maschineller Lernverfahren S Laible Diplomarbeit, University of Tuebingen, Sand 1, 72076 Tübingen, 2009 | 1 | 2009 |
| Spatio-temporal terrain classification for mapping and robot localization S Laible Universität Tübingen, 2017 | | 2017 |
Andreas ZellProfessor für Informatik, Universität TübingenVerified email at uni-tuebingen.de
