| 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 | 318 | 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 | 240 | 2018 |
| 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 | 229 | 2020 |
| 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 | 112 | 2016 |
| SPIn-NeRF: Multiview segmentation and perceptual inpainting with neural radiance fields A Mirzaei, T Aumentado-Armstrong, KG Derpanis, J Kelly, MA Brubaker, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 100 | 2023 |
| 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 | 94 | 2015 |
| 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 | 93 | 2019 |
| Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles A Amini, TH Wang, I Gilitschenski, W Schwarting, Z Liu, S Han, ... 2022 International Conference on Robotics and Automation (ICRA), 2419-2426, 2022 | 87 | 2022 |
| 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 | 84 | 2017 |
| Recursive Bayesian filtering in circular state spaces G Kurz, I Gilitschenski, UD Hanebeck IEEE Aerospace and Electronic Systems Magazine 31 (3), 70-87, 2016 | 83 | 2016 |
| 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 | 80 | 2018 |
| Recursive nonlinear filtering for angular data based on circular distributions G Kurz, I Gilitschenski, UD Hanebeck 2013 American Control Conference, 5439-5445, 2013 | 76 | 2013 |
| Deep Orientation Uncertainty Learning based on a Bingham Loss I Gilitschenski, R Sahoo, W Schwarting, A Amini, S Karaman, D Rus International Conference on Learning Representations, 2020 | 73 | 2020 |
| Housekeep: Tidying Virtual Households using Commonsense Reasoning Y Kant, A Ramachandran, S Yenamandra, I Gilitschenski, D Batra, A Szot, ... European Conference on Computer Vision, 2022 | 67 | 2022 |
| 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 | 55 | 2019 |
| Robust estimation and applications in robotics M Bosse, G Agamennoni, I Gilitschenski Foundations and Trends® in Robotics 4 (4), 225-269, 2016 | 53 | 2016 |
| Vehicle trajectory prediction using generative adversarial network with temporal logic syntax tree features X Li, G Rosman, I Gilitschenski, CI Vasile, JA DeCastro, S Karaman, ... IEEE Robotics and Automation Letters 6 (2), 3459-3466, 2021 | 51 | 2021 |
| 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 | 50 | 2014 |
| Autonomous navigation in inclement weather based on a localizing ground penetrating radar T Ort, I Gilitschenski, D Rus IEEE Robotics and Automation Letters 5 (2), 3267-3274, 2020 | 49 | 2020 |
| 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 | 49 | 2017 |
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
