| Human motion trajectory prediction: A survey A Rudenko, L Palmieri, M Herman, KM Kitani, DM Gavrila, KO Arras The International Journal of Robotics Research 39 (8), 895-935, 2020 | 803 | 2020 |
| Using boosted features for the detection of people in 2D range data KO Arras, OM Mozos, W Burgard Robotics and Automation, 2007 IEEE International Conference on, 3402-3407, 2007 | 544 | 2007 |
| People detection in RGB-D data L Spinello, KO Arras Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011 | 505 | 2011 |
| People tracking with human motion predictions from social forces M Luber, JA Stork, GD Tipaldi, KO Arras 2010 IEEE international conference on robotics and automation, 464-469, 2010 | 411 | 2010 |
| Robox at Expo.02: A large-scale installation of personal robots R Siegwart, KO Arras, S Bouabdallah, D Burnier, G Froidevaux, X Greppin, ... Robotics and Autonomous Systems 42 (3), 203-222, 2003 | 336 | 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: Results of the 10th International Conference …, 2016 | 308 | 2016 |
| People tracking in RGB-D data with on-line boosted target models M Luber, L Spinello, KO Arras Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011 | 237 | 2011 |
| Feature extraction and scene interpretation for map-based navigation and map building KO Arras, R Siegwart Proceedings of SPIE, Mobile Robotics XII, 42-53, 1997 | 227 | 1997 |
| Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities KO Arras, S Grzonka, M Luber, W Burgard 2008 IEEE international conference on robotics and automation, 1710-1715, 2008 | 215 | 2008 |
| Inverse reinforcement learning algorithms and features for robot navigation in crowds: an experimental comparison D Vasquez, B Okal, KO Arras IEEE/RSJ International Conference on Intelligent Robots and Systems, 1341-1346, 2014 | 201 | 2014 |
| Socially-aware robot navigation: A learning approach M Luber, L Spinello, J Silva, KO Arras IEEE/RSJ Int. Conf. on Intelligent Robots and Intelligent Systems, 2012 | 200 | 2012 |
| A layered approach to people detection in 3D range data L Spinello, KO Arras, R Triebel, R Siegwart 24th AAAI Conference on Artificial Intelligence (AAAI-10), 2010 | 183 | 2010 |
| 2D mapping of cluttered indoor environments by means of 3D perception O Wulf, KO Arras, HI Christensen, B Wagner IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 179 | 2004 |
| An introduction to error propagation: derivation, meaning and examples of Cy = Fx Cx Fx’ KO Arras Autonomous Systems Lab, Swiss Federal Institute of Technology Lausanne (EPFL …, 1998 | 177* | 1998 |
| Multisensor on-the-fly localization: precision and reliability for applications KO Arras, N Tomatis, BT Jensen, R Siegwart Robotics and Autonomous Systems 34 (2), 131-143, 2001 | 176 | 2001 |
| Do we want to share our lives and bodies with robots? A 2000 people survey KO Arras, D Cerqui Technical report 605, 2005 | 158 | 2005 |
| Learning socially normative robot navigation behaviors with bayesian inverse reinforcement learning B Okal, KO Arras 2016 IEEE international conference on robotics and automation (ICRA), 2889-2895, 2016 | 150 | 2016 |
| Real-time obstacle avoidance for polygonal robots with a reduced dynamic window KO Arras, J Persson, N Tomatis, R Siegwart Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002 | 145 | 2002 |
| On multi-modal people tracking from mobile platforms in very crowded and dynamic environments T Linder, S Breuers, B Leibe, KO Arras 2016 IEEE international conference on robotics and automation (ICRA), 5512-5519, 2016 | 142 | 2016 |
| FLIRT: interest regions for 2d range data GD Tipaldi, KO Arras Robotics and Automation (ICRA), 2010 IEEE International Conference on, 3616-3622, 2010 | 142 | 2010 |
Luigi PalmieriRobert Bosch GmbH Corporate Research在 informatik.uni-freiburg.de 的电子邮件经过验证
