Sledovat
Davide Scaramuzza
Davide Scaramuzza
Professor of Robotics and Perception, University of Zurich
E-mailová adresa ověřena na: ifi.uzh.ch - Domovská stránka
Název
Citace
Citace
Rok
Introduction to autonomous mobile robots
R Siegwart, IR Nourbakhsh, D Scaramuzza
Massachusetts Institute of Technology, 2011
51052011
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
34122016
SVO: Fast Semi-Direct Monocular Visual Odometry
C Forster, M Pizzoli, D Scaramuzza
IEEE International Conference on Robotics and Automation (ICRA), 2014
23062014
Visual odometry [tutorial]
D Scaramuzza, F Fraundorfer
Robotics & Automation Magazine, IEEE 18 (4), 80-92, 2011
2031*2011
On-Manifold Preintegration for Real-Time Visual-Inertial Odometry
C Forster, L Carlone, F Dellaert, D Scaramuzza
IEEE Transactions on Robotics, 2016
11632016
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
11402020
A toolbox for easily calibrating omnidirectional cameras
D Scaramuzza, A Martinelli, R Siegwart
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006
967*2006
Visual odometry: Part ii: Matching, robustness, optimization, and applications
F Fraundorfer, D Scaramuzza
IEEE Robotics & Automation Magazine 19 (2), 78-90, 2012
8922012
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
8222016
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
7822016
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
6402011
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
6002006
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
5482010
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
5322015
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
5152017
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
5112011
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
4792018
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
4732018
DroNet: Learning to Fly by Driving
A Loquercio, AI Maqueda, CR del-Blanco, D Scaramuzza
IEEE Robotics and Automation Letters, 2018
4392018
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
4332018
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Články 1–20