| Introduction to autonomous mobile robots R Siegwart, IR Nourbakhsh, D Scaramuzza Massachusetts Institute of Technology, 2011 | 5115 | 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 | 3445 | 2016 |
| SVO: Fast Semi-Direct Monocular Visual Odometry C Forster, M Pizzoli, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2014 | 2325 | 2014 |
| Visual odometry [tutorial] D Scaramuzza, F Fraundorfer Robotics & Automation Magazine, IEEE 18 (4), 80-92, 2011 | 2038* | 2011 |
| On-Manifold Preintegration for Real-Time Visual-Inertial Odometry C Forster, L Carlone, F Dellaert, D Scaramuzza IEEE Transactions on Robotics, 2016 | 1174 | 2016 |
| 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 | 1165 | 2020 |
| A toolbox for easily calibrating omnidirectional cameras D Scaramuzza, A Martinelli, R Siegwart 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 969* | 2006 |
| Visual odometry: Part ii: Matching, robustness, optimization, and applications F Fraundorfer, D Scaramuzza IEEE Robotics & Automation Magazine 19 (2), 78-90, 2012 | 892 | 2012 |
| 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 | 831 | 2016 |
| 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 | 785 | 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 | 643 | 2011 |
| 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 | 602 | 2006 |
| 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 | 548 | 2010 |
| 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 | 534 | 2015 |
| 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 | 526 | 2017 |
| Monocular‐SLAM–based navigation for autonomous micro helicopters in GPS‐denied environments S Weiss, D Scaramuzza, R Siegwart Journal of Field Robotics 28 (6), 854-874, 2011 | 512 | 2011 |
| 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 | 483 | 2018 |
| 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 | 481 | 2018 |
| DroNet: Learning to Fly by Driving A Loquercio, AI Maqueda, CR del-Blanco, D Scaramuzza IEEE Robotics and Automation Letters, 2018 | 442 | 2018 |
| A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots J Delmerico, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2018., 2018 | 436 | 2018 |
Roland SiegwartProfessor of Robotics, ETH Zurich, Switzerlandethz.ch의 이메일 확인됨
