| maplab: An Open Framework for Research in Visual-inertial Mapping and Localization T Schneider, M Dymczyk, M Fehr, K Egger, S Lynen, I Gilitschenski, ... IEEE Robotics and Automation Letters 3 (3), 1418 - 1425, 2018 | 184 | 2018 |
| The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-rotor Aerial Vehicle M Kamel, S Verling, O Elkhatib, C Sprecher, P Wulkop, ZJ Taylor, ... IEEE Robotics & Automation Magazine, 2018 | 121 | 2018 |
| A data-driven approach for pedestrian intention estimation B Völz, K Behrendt, H Mielenz, I Gilitschenski, R Siegwart, J Nieto 2016 ieee 19th international conference on intelligent transportation …, 2016 | 78 | 2016 |
| Unscented orientation estimation based on the Bingham distribution I Gilitschenski, G Kurz, SJ Julier, UD Hanebeck IEEE Transactions on Automatic Control 61 (1), 172-177, 2015 | 72 | 2015 |
| Recursive nonlinear filtering for angular data based on circular distributions G Kurz, I Gilitschenski, UD Hanebeck 2013 American Control Conference, 5439-5445, 2013 | 68 | 2013 |
| Recursive Bayesian filtering in circular state spaces G Kurz, I Gilitschenski, UD Hanebeck IEEE Aerospace and Electronic Systems Magazine 31 (3), 70-87, 2016 | 63 | 2016 |
| Learning robust control policies for end-to-end autonomous driving from data-driven simulation A Amini, I Gilitschenski, J Phillips, J Moseyko, R Banerjee, S Karaman, ... IEEE Robotics and Automation Letters 5 (2), 1143-1150, 2020 | 60 | 2020 |
| Incremental-segment-based localization in 3-d point clouds R Dubé, MG Gollub, H Sommer, I Gilitschenski, R Siegwart, C Cadena, ... IEEE Robotics and Automation Letters 3 (3), 1832-1839, 2018 | 48 | 2018 |
| Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds C Baykal, L Liebenwein, I Gilitschenski, D Feldman, D Rus International Conference on Learning Representations, 2019 | 47 | 2019 |
| Recursive estimation of orientation based on the bingham distribution G Kurz, I Gilitschenski, S Julier, UD Hanebeck Proceedings of the 16th International Conference on Information Fusion, 1487 …, 2013 | 45 | 2013 |
| TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery M Fehr, F Furrer, I Dryanovski, J Sturm, I Gilitschenski, R Siegwart, ... 2017 IEEE International Conference on Robotics and automation (ICRA), 5237-5244, 2017 | 43 | 2017 |
| Recursive Bingham filter for directional estimation involving 180 degree symmetry G Kurz, I Gilitschenski, S Julier, UD Hanebeck Journal of Advances in Information Fusion 9 (2), 90-105, 2014 | 36 | 2014 |
| Inferring Pedestrian Motions at Urban Crosswalks B Völz, H Mielenz, I Gilitschenski, R Siegwart, J Nieto IEEE Transactions on Intelligent Transportation Systems 20 (2), 544-555, 2019 | 35 | 2019 |
| Appearance-based landmark selection for efficient long-term visual localization M Bürki, I Gilitschenski, E Stumm, R Siegwart, J Nieto 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 33 | 2016 |
| A new probability distribution for simultaneous representation of uncertain position and orientation I Gilitschenski, G Kurz, SJ Julier, UD Hanebeck 17th International Conference on Information Fusion (FUSION), 1-7, 2014 | 33 | 2014 |
| Nonlinear measurement update for estimation of angular systems based on circular distributions G Kurz, I Gilitschenski, UD Hanebeck 2014 American Control Conference, 5694-5699, 2014 | 33 | 2014 |
| Efficient deterministic dirac mixture approximation of Gaussian distributions I Gilitschenski, UD Hanebeck 2013 American Control Conference, 2422-2427, 2013 | 31 | 2013 |
| Map management for efficient long-term visual localization in outdoor environments M Bürki, M Dymczyk, I Gilitschenski, C Cadena, R Siegwart, J Nieto 2018 IEEE Intelligent Vehicles Symposium (IV), 682-688, 2018 | 29 | 2018 |
| Unscented von mises–fisher filtering G Kurz, I Gilitschenski, UD Hanebeck IEEE Signal Processing Letters 23 (4), 463-467, 2016 | 28 | 2016 |
| Evaluation of Combined Time-Offset Estimation and Hand-Eye Calibration on Robotic Datasets F Furrer, M Fehr, T Novkovic, H Sommer, I Gilitschenski, R Siegwart Field and Service Robotics (FSR), 145-159, 2017 | 27 | 2017 |
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
