| Introduction to autonomous mobile robots R Siegwart, IR Nourbakhsh, D Scaramuzza Massachusetts Institute of Technology, 2011 | 5504 | 2011 |
| Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age C Cadena, L Carlone, H Carrillo, Y Latif, D Scaramuzza, J Neira, I Reid, ... IEEE Transactions on Robotics 32 (6), 1309-1332, 2016 | 4333 | 2016 |
| SVO: Fast Semi-Direct Monocular Visual Odometry C Forster, M Pizzoli, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2014 | 2712 | 2014 |
| Visual odometry [tutorial] D Scaramuzza, F Fraundorfer Robotics & Automation Magazine, IEEE 18 (4), 80-92, 2011 | 2271* | 2011 |
| Event-based Vision: A Survey G Gallego, T Delbruck, G Orchard, C Bartolozzi, B Taba, A Censi, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020., 2020 | 2050 | 2020 |
| On-Manifold Preintegration for Real-Time Visual-Inertial Odometry C Forster, L Carlone, F Dellaert, D Scaramuzza IEEE Transactions on Robotics, 2016 | 1532 | 2016 |
| A toolbox for easily calibrating omnidirectional cameras D Scaramuzza, A Martinelli, R Siegwart 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 1056* | 2006 |
| SVO: Semi-Direct Visual Odometry for Monocular and Multi-Camera Systems C Forster, Z Zhang, M Gassner, M Werlberger, D Scaramuzza IEEE Transactions on Robotics (TRO), PP (99), 1-17, 2016 | 1013 | 2016 |
| Visual odometry: Part ii: Matching, robustness, optimization, and applications F Fraundorfer, D Scaramuzza IEEE Robotics & Automation Magazine 19 (2), 78-90, 2012 | 982 | 2012 |
| A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots A Giusti, J Guzzi, D Ciresan, FL He, JP Rodriguez, F Fontana, M Faessler, ... IEEE Robotics and Automation Letters, 2016 | 868 | 2016 |
| A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation L Kneip, D Scaramuzza, R Siegwart IEEE Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011 | 722 | 2011 |
| The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM E Mueggler, H Rebecq, G Gallego, T Delbruck, D Scaramuzza International Journal of Robotics Research 36 (2), 142-149, 2017 | 703 | 2017 |
| A Tutorial on Quantitative Trajectory Evaluation for Visual (-Inertial) Odometry Z Zhang, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2018 | 676 | 2018 |
| A flexible technique for accurate omnidirectional camera calibration and structure from motion D Scaramuzza, A Martinelli, R Siegwart Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 45-45, 2006 | 648 | 2006 |
| IMU preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation C Forster, L Carlone, F Dellaert, D Scaramuzza Robotics: Science and Systems, 2015 | 641 | 2015 |
| Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars AI Maqueda, A Loquercio, G Gallego, N Garcia, D Scaramuzza IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 639 | 2018 |
| High Speed and High Dynamic Range Video with an Event Camera H Rebecq, R Ranftl, V Koltun, D Scaramuzza IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 | 638 | 2019 |
| Vision based MAV navigation in unknown and unstructured environments M Blösch, S Weiss, D Scaramuzza, R Siegwart 2010 IEEE International Conference on Robotics and Automation, 21-28, 2010 | 586 | 2010 |
| DroNet: Learning to Fly by Driving A Loquercio, AI Maqueda, CR del-Blanco, D Scaramuzza IEEE Robotics and Automation Letters, 2018 | 548 | 2018 |
| Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios AR Vidal, H Rebecq, T Horstschaefer, D Scaramuzza IEEE Robotics and Automation Letters, 2018 | 545 | 2018 |
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandEmail verificata su ethz.ch
