| A smooth representation of belief over so (3) for deep rotation learning with uncertainty V Peretroukhin, M Giamou, DM Rosen, WN Greene, N Roy, J Kelly arXiv preprint arXiv:2006.01031, 2020 | 81 | 2020 |
| Improving foot-mounted inertial navigation through real-time motion classification B Wagstaff, V Peretroukhin, J Kelly 2017 International Conference on Indoor Positioning and Indoor Navigation …, 2017 | 78 | 2017 |
| Robust data-driven zero-velocity detection for foot-mounted inertial navigation B Wagstaff, V Peretroukhin, J Kelly IEEE Sensors Journal 20 (2), 957-967, 2019 | 74 | 2019 |
| Dpc-net: Deep pose correction for visual localization V Peretroukhin, J Kelly IEEE Robotics and Automation Letters 3 (3), 2424-2431, 2017 | 64 | 2017 |
| The battle for filter supremacy: A comparative study of the multi-state constraint kalman filter and the sliding window filter LE Clement, V Peretroukhin, J Lambert, J Kelly 2015 12th Conference on Computer and Robot Vision, 23-30, 2015 | 58 | 2015 |
| Reducing drift in visual odometry by inferring sun direction using a bayesian convolutional neural network V Peretroukhin, L Clement, J Kelly 2017 IEEE International Conference on Robotics and Automation (ICRA), 2035-2042, 2017 | 40 | 2017 |
| Certifiably globally optimal extrinsic calibration from per-sensor egomotion M Giamou, Z Ma, V Peretroukhin, J Kelly IEEE Robotics and Automation Letters 4 (2), 367-374, 2019 | 33 | 2019 |
| Self-supervised deep pose corrections for robust visual odometry B Wagstaff, V Peretroukhin, J Kelly 2020 IEEE International Conference on Robotics and Automation (ICRA), 2331-2337, 2020 | 29 | 2020 |
| PROBE-GK: Predictive robust estimation using generalized kernels V Peretroukhin, W Vega-Brown, N Roy, J Kelly 2016 IEEE International Conference on Robotics and Automation (ICRA), 817-824, 2016 | 29 | 2016 |
| Convex iteration for distance-geometric inverse kinematics M Giamou, F Marić, DM Rosen, V Peretroukhin, N Roy, I Petrović, J Kelly IEEE Robotics and Automation Letters 7 (2), 1952-1959, 2022 | 27 | 2022 |
| PROBE: Predictive robust estimation for visual-inertial navigation V Peretroukhin, L Clement, M Giamou, J Kelly 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 27 | 2015 |
| Optimizing camera perspective for stereo visual odometry V Peretroukhin, J Kelly, TD Barfoot 2014 Canadian Conference on Computer and Robot Vision, 1-7, 2014 | 19 | 2014 |
| Deep Probabilistic Regression of Elements of SO (3) using Quaternion Averaging and Uncertainty Injection. V Peretroukhin, B Wagstaff, J Kelly CVPR Workshops, 83-86, 2019 | 18 | 2019 |
| Inferring sun direction to improve visual odometry: A deep learning approach V Peretroukhin, L Clement, J Kelly The International Journal of Robotics Research 37 (9), 996-1016, 2018 | 14 | 2018 |
| Probabilistic regression of rotations using quaternion averaging and a deep multi-headed network V Peretroukhin, B Wagstaff, M Giamou, J Kelly arXiv preprint arXiv:1904.03182, 2019 | 13 | 2019 |
| Improving the accuracy of stereo visual odometry using visual illumination estimation L Clement, V Peretroukhin, J Kelly 2016 International Symposium on Experimental Robotics, 409-419, 2017 | 10 | 2017 |
| Towards autonomous mobile robots for the exploration of steep terrain B Stenning, L Bajin, C Robson, V Peretroukhin, GR Osinski, TD Barfoot Field and Service Robotics: Results of the 9th International Conference, 33-47, 2015 | 8 | 2015 |
| On the coupling of depth and egomotion networks for self-supervised structure from motion B Wagstaff, V Peretroukhin, J Kelly IEEE Robotics and Automation Letters 7 (3), 6766-6773, 2022 | 7 | 2022 |
| Toward robust and efficient online adaptation for deep stereo depth estimation M Knowles, V Peretroukhin, WN Greene, N Roy 2021 IEEE International Conference on Robotics and Automation (ICRA), 12192 …, 2021 | 5 | 2021 |
| Self-supervised structure-from-motion through tightly-coupled depth and egomotion networks B Wagstaff, V Peretroukhin, J Kelly arXiv preprint arXiv:2106.04007 7, 2021 | 2 | 2021 |
Jonathan KellyUniversity of Toronto Institute for Aerospace StudiesAdresse e-mail validée de utias.utoronto.ca
