| Introduction to autonomous mobile robots R Siegwart, IR Nourbakhsh, D Scaramuzza MIT press, 2011 | 5024 | 2011 |
| BRISK: Binary robust invariant scalable keypoints S Leutenegger, M Chli, RY Siegwart 2011 International conference on computer vision, 2548-2555, 2011 | 4743 | 2011 |
| PID vs LQ control techniques applied to an indoor micro quadrotor S Bouabdallah, A Noth, R Siegwart 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004 | 1921 | 2004 |
| Keyframe-based visual–inertial odometry using nonlinear optimization S Leutenegger, S Lynen, M Bosse, R Siegwart, P Furgale The International Journal of Robotics Research 34 (3), 314-334, 2015 | 1736 | 2015 |
| Backstepping and sliding-mode techniques applied to an indoor micro quadrotor S Bouabdallah, R Siegwart Proceedings of the 2005 IEEE international conference on robotics and …, 2005 | 1559 | 2005 |
| The EuRoC micro aerial vehicle datasets M Burri, J Nikolic, P Gohl, T Schneider, J Rehder, S Omari, MW Achtelik, ... The International Journal of Robotics Research 35 (10), 1157-1163, 2016 | 1516 | 2016 |
| Design and control of an indoor micro quadrotor S Bouabdallah, P Murrieri, R Siegwart IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 1210 | 2004 |
| Full control of a quadrotor S Bouabdallah, R Siegwart 2007 IEEE/RSJ international conference on intelligent robots and systems …, 2007 | 1107 | 2007 |
| Robust visual inertial odometry using a direct EKF-based approach M Bloesch, S Omari, M Hutter, R Siegwart 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 881 | 2015 |
| A toolbox for easily calibrating omnidirectional cameras D Scaramuzza, A Martinelli, R Siegwart 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 873 | 2006 |
| Comparing ICP variants on real-world data sets: Open-source library and experimental protocol F Pomerleau, F Colas, R Siegwart, S Magnenat Autonomous robots 34, 133-148, 2013 | 812 | 2013 |
| Unified temporal and spatial calibration for multi-sensor systems P Furgale, J Rehder, R Siegwart 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 688 | 2013 |
| A review of point cloud registration algorithms for mobile robotics F Pomerleau, F Colas, R Siegwart Foundations and Trends® in Robotics 4 (1), 1-104, 2015 | 660 | 2015 |
| 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 CVPR 2011, 2969-2976, 2011 | 641 | 2011 |
| A robust and modular multi-sensor fusion approach applied to mav navigation S Lynen, MW Achtelik, S Weiss, M Chli, R Siegwart 2013 IEEE/RSJ international conference on intelligent robots and systems …, 2013 | 607 | 2013 |
| 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 | 600 | 2006 |
| From coarse to fine: Robust hierarchical localization at large scale PE Sarlin, C Cadena, R Siegwart, M Dymczyk Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 587 | 2019 |
| Social integration of robots into groups of cockroaches to control self-organized choices J Halloy, G Sempo, G Caprari, C Rivault, M Asadpour, F Tâche, I Saïd, ... Science 318 (5853), 1155-1158, 2007 | 585 | 2007 |
| 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 |
| Rotors—a modular gazebo mav simulator framework F Furrer, M Burri, M Achtelik, R Siegwart Robot Operating System (ROS) The Complete Reference (Volume 1), 595-625, 2016 | 547 | 2016 |
Juan NietoMicrosoft - Mixed Reality and AI LabVerified email at microsoft.com
