| 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 | 2509 | 2016 |
| 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 | 1255 | 2015 |
| Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback M Bloesch, M Burri, S Omari, M Hutter, R Siegwart The International Journal of Robotics Research 36 (10), 1053-1072, 2017 | 625 | 2017 |
| One thousand and one hours: Self-driving motion prediction dataset J Houston, G Zuidhof, L Bergamini, Y Ye, L Chen, A Jain, S Omari, ... Conference on Robot Learning, 409-418, 2021 | 592 | 2021 |
| nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles H Caesar, J Kabzan, KS Tan, WK Fong, E Wolff, A Lang, L Fletcher, ... arXiv preprint arXiv:2106.11810, 2021 | 453 | 2021 |
| Structural inspection path planning via iterative viewpoint resampling with application to aerial robotics A Bircher, K Alexis, M Burri, P Oettershagen, S Omari, T Mantel, ... 2015 IEEE International Conference on Robotics and Automation (ICRA), 6423-6430, 2015 | 315 | 2015 |
| Three-dimensional coverage path planning via viewpoint resampling and tour optimization for aerial robots A Bircher, M Kamel, K Alexis, M Burri, P Oettershagen, S Omari, T Mantel, ... Autonomous Robots 40 (6), 1059-1078, 2016 | 257 | 2016 |
| Lyft level 5 av dataset 2019 R Kesten, M Usman, J Houston, T Pandya, K Nadhamuni, A Ferreira, ... | 162 | 2019 |
| Nonlinear control of VTOL UAVs incorporating flapping dynamics S Omari, MD Hua, G Ducard, T Hamel 2013 IEEE/RSJ international conference on intelligent robots and systems …, 2013 | 104 | 2013 |
| Systems and methods for detecting and recording anomalous vehicle events R Clément, HR Lurie, S Omari US Patent 11,861,458, 2024 | 97 | 2024 |
| Driving in real life with inverse reinforcement learning T Phan-Minh, F Howington, TS Chu, SU Lee, MS Tomov, N Li, C Dicle, ... arXiv preprint arXiv:2206.03004, 2022 | 85 | 2022 |
| Visual industrial inspection using aerial robots S Omari, P Gohl, M Burri, M Achtelik, R Siegwart Proceedings of the 2014 3rd International Conference on Applied Robotics for …, 2014 | 83 | 2014 |
| Level 5 perception dataset 2020 R Kesten, M Usman, J Houston, T Pandya, K Nadhamuni, A Ferreira, ... Woven Planet Holdings, Tokyo, Japan, 2019 | 78 | 2019 |
| An incremental sampling-based approach to inspection planning: the rapidly exploring random tree of trees A Bircher, K Alexis, U Schwesinger, S Omari, M Burri, R Siegwart Robotica 35 (6), 1327-1340, 2017 | 65 | 2017 |
| Hardware and software architecture for nonlinear control of multirotor helicopters S Omari, MD Hua, G Ducard, T Hamel IEEE/ASME Transactions on mechatronics 18 (6), 1724-1736, 2013 | 60 | 2013 |
| Lyft level 5 perception dataset 2020 R Kesten, M Usman, J Houston, T Pandya, K Nadhamuni, A Ferreira, ... S. Shah, A. Kulkarni, A. Kazakova, LPC Tao, W. Jiang, and a. V. Shet,“Lyft …, 2019 | 59 | 2019 |
| The Swiss approach for a heartbeat-driven lead-and batteryless pacemaker A Zurbuchen, A Haeberlin, L Bereuter, J Wagner, A Pfenniger, S Omari, ... Heart rhythm 14 (2), 294-299, 2017 | 58 | 2017 |
| Dynamic object detection model based on static map collection data S Omari, S Qureshi US Patent 11,170,567, 2021 | 56 | 2021 |
| Lyft level 5 av dataset 2019. urlhttps R Kesten, M Usman, J Houston, T Pandya, K Nadhamuni, A Ferreira, ... level5. lyft. com/dataset 1 (2), 3, 2019 | 52 | 2019 |
| Towards autonomous mine inspection P Gohl, M Burri, S Omari, J Rehder, J Nikolic, M Achtelik, R Siegwart Proceedings of the 2014 3rd international conference on applied robotics for …, 2014 | 49 | 2014 |
