| Robust Monte Carlo Localization for Mobile Robots S Thrun, D Fox, W Burgard, F Dellaert Artificial intelligence 128 (1-2), 99-141, 2001 | 2639 | 2001 |
| Monte Carlo Localization for Mobile Robots F Dellaert, D Fox, W Burgard, S Thrun Robotics and Automation, 1999. Proceedings. 1999 IEEE International …, 1999 | 2303 | 1999 |
| Monte Carlo Localization: Efficient position estimation for mobile robots D Fox, W Burgard, F Dellaert, S Thrun Proceedings of the National Conference on Artificial Intelligence, 343-349, 1999 | 1680 | 1999 |
| iSAM: Incremental smoothing and mapping M Kaess, A Ranganathan, F Dellaert IEEE Transactions on Robotics 24 (6), 1365-1378, 2008 | 1299 | 2008 |
| Square Root SAM: Simultaneous localization and mapping via square root information smoothing F Dellaert, M Kaess The International Journal of Robotics Research 25 (12), 1181-1203, 2006 | 1260 | 2006 |
| iSAM2: Incremental smoothing and mapping using the Bayes tree M Kaess, H Johannsson, R Roberts, V Ila, JJ Leonard, F Dellaert The International Journal of Robotics Research 31 (2), 216-235, 2012 | 1236 | 2012 |
| MINERVA: A second-generation museum tour-guide robot S Thrun, M Bennewitz, W Burgard, AB Cremers, F Dellaert, D Fox, ... Robotics and Automation, 1999. Proceedings. 1999 IEEE International …, 1999 | 1118 | 1999 |
| MCMC-based particle filtering for tracking a variable number of interacting targets Z Khan, T Balch, F Dellaert Pattern Analysis and Machine Intelligence, IEEE Transactions on 27 (11 …, 2005 | 1088 | 2005 |
| On-manifold preintegration for real-time visual--inertial odometry C Forster, L Carlone, F Dellaert, D Scaramuzza IEEE Transactions on Robotics 33 (1), 1-21, 2016 | 999 | 2016 |
| Recognizing emotion in speech F Dellaert, T Polzin, A Waibel Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International …, 1996 | 873 | 1996 |
| Probabilistic algorithms and the interactive museum tour-guide robot minerva S Thrun, M Beetz, M Bennewitz, W Burgard, AB Cremers, F Dellaert, ... The International Journal of Robotics Research 19 (11), 972-999, 2000 | 750 | 2000 |
| Factor graphs and GTSAM: A hands-on introduction F Dellaert Georgia Institute of Technology, 2012 | 652 | 2012 |
| An MCMC-based particle filter for tracking multiple interacting targets Z Khan, T Balch, F Dellaert Computer Vision-ECCV 2004, 279-290, 2004 | 532 | 2004 |
| IMU preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation C Forster, L Carlone, F Dellaert, D Scaramuzza Georgia Institute of Technology, 2015 | 497 | 2015 |
| Particle filters for mobile robot localization D Fox, S Thrun, W Burgard, F Dellaert Sequential Monte Carlo Methods in Practice, 401-428, 2001 | 494 | 2001 |
| Structure from motion without correspondence F Dellaert, SM Seitz, CE Thorpe, S Thrun Proceedings IEEE conference on computer vision and pattern recognition. CVPR …, 2000 | 475 | 2000 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 415* | 2006 |
| Factor graphs for robot perception F Dellaert, M Kaess Foundations and Trends® in Robotics 6 (1-2), 1-139, 2017 | 403 | 2017 |
| The expectation maximization algorithm F Dellaert Georgia Institute of Technology, 2002 | 399 | 2002 |
| Using the condensation algorithm for robust, vision-based mobile robot localization F Dellaert, W Burgard, D Fox, S Thrun Computer Vision and Pattern Recognition, 1999. IEEE Computer Society …, 1999 | 385 | 1999 |
Michael KaessAssociate Professor, Carnegie Mellon UniversityVerified email at cmu.edu
