| Dynamic object aware lidar slam based on automatic generation of training data P Pfreundschuh, HFC Hendrikx, V Reijgwart, R Dubé, R Siegwart, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 11641 …, 2021 | 67 | 2021 |
| Team cerberus wins the darpa subterranean challenge: Technical overview and lessons learned M Tranzatto, M Dharmadhikari, L Bernreiter, M Camurri, S Khattak, ... arXiv preprint arXiv:2207.04914, 2022 | 37 | 2022 |
| Dynablox: Real-time detection of diverse dynamic objects in complex environments L Schmid, O Andersson, A Sulser, P Pfreundschuh, R Siegwart IEEE Robotics and Automation Letters, 2023 | 20 | 2023 |
| COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry P Pfreundschuh, H Oleynikova, C Cadena, R Siegwart, O Andersson arXiv preprint arXiv:2310.01235, 2023 | 3 | 2023 |
| MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments L Schaupp, P Pfreundschuh, M Bürki, C Cadena, R Siegwart, J Nieto 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 2 | 2020 |
| Resilient Terrain Navigation with a 5 DOF Metal Detector Drone P Pfreundschuh, R Bähnemann, T Kazik, T Mantel, R Siegwart, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 10652 …, 2023 | 1 | 2023 |
| Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild T Tuna, J Nubert, P Pfreundschuh, C Cadena, S Khattak, M Hutter arXiv preprint arXiv:2408.11809, 2024 | | 2024 |
| A robust baro-radar-inertial odometry m-estimator for multicopter navigation in cities and forests R Girod, M Hauswirth, P Pfreundschuh, M Biasio, R Siegwart arXiv preprint arXiv:2408.05764, 2024 | | 2024 |
| TULIP: Transformer for Upsampling of LiDAR Point Clouds B Yang, P Pfreundschuh, R Siegwart, M Hutter, P Moghadam, V Patil Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Flying Robotic Workers: High-precision Aerial Physical Interaction M Pantic, R Girod, C Lanegger, M Biasio, E Cuniato, M Allenspach, ... Swiss Robotics Day 2022, 2022 | | 2022 |
| TULIP: Transformer for Upsampling of LiDAR Point Clouds (Supplementary Material) B Yang, P Pfreundschuh, R Siegwart, M Hutter, P Moghadam, V Patil | | |
Roland SiegwartProfessor of Robotics, ETH Zurich, Switzerland在 ethz.ch 的电子邮件经过验证
