| Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks M Engelcke, D Rao, DZ Wang, CH Tong, I Posner 2017 IEEE International Conference on Robotics and Automation (ICRA), 1355-1361, 2017 | 584 | 2017 |
| Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression. TD Barfoot, CH Tong, S Särkkä Robotics: Science and Systems 10, 1-10, 2014 | 113 | 2014 |
| Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression S Anderson, TD Barfoot, CH Tong, S Särkkä Autonomous Robots 39, 221-238, 2015 | 74 | 2015 |
| Continuous-time batch trajectory estimation using temporal basis functions P Furgale, CH Tong, TD Barfoot, G Sibley The International Journal of Robotics Research 34 (14), 1688-1710, 2015 | 67 | 2015 |
| Gaussian process gauss–newton for non-parametric simultaneous localization and mapping CH Tong, P Furgale, TD Barfoot The International Journal of Robotics Research 32 (5), 507-525, 2013 | 52 | 2013 |
| The Canadian planetary emulation terrain 3D mapping dataset CH Tong, D Gingras, K Larose, TD Barfoot, É Dupuis The International Journal of Robotics Research 32 (4), 389-395, 2013 | 52 | 2013 |
| Three‐dimensional SLAM for mapping planetary work site environments CH Tong, TD Barfoot, É Dupuis Journal of Field Robotics 29 (3), 381-412, 2012 | 44 | 2012 |
| Pose interpolation for laser‐based visual odometry CH Tong, S Anderson, H Dong, T D. Barfoot Journal of Field Robotics 31 (5), 731-757, 2014 | 38 | 2014 |
| Scheduled perception for energy-efficient path following P Ondrúška, C Gurău, L Marchegiani, CH Tong, I Posner 2015 IEEE International Conference on Robotics and Automation (ICRA), 4799-4806, 2015 | 37 | 2015 |
| Into darkness: Visual navigation based on a lidar-intensity-image pipeline TD Barfoot, C McManus, S Anderson, H Dong, E Beerepoot, CH Tong, ... Robotics Research: The 16th International Symposium ISRR, 487-504, 2016 | 34 | 2016 |
| Learn from experience: Probabilistic prediction of perception performance to avoid failure C Gurău, D Rao, CH Tong, I Posner The International Journal of Robotics Research 37 (9), 981-995, 2018 | 30 | 2018 |
| Gaussian process Gauss-Newton for 3D laser-based visual odometry CH Tong, TD Barfoot 2013 IEEE International Conference on Robotics and Automation, 5204-5211, 2013 | 29 | 2013 |
| Off the beaten track: Predicting localisation performance in visual teach and repeat J Dequaire, CH Tong, W Churchill, I Posner 2016 IEEE International Conference on Robotics and Automation (ICRA), 795-800, 2016 | 26 | 2016 |
| Know your limits: Embedding localiser performance models in teach and repeat maps W Churchill, CH Tong, C Gurău, I Posner, P Newman 2015 IEEE International Conference on Robotics and Automation (ICRA), 4238-4244, 2015 | 24 | 2015 |
| Gaussian process Gauss-Newton: Non-parametric state estimation CH Tong, P Furgale, TD Barfoot 2012 Ninth Conference on Computer and Robot Vision, 206-213, 2012 | 23 | 2012 |
| A self-calibrating 3D ground-truth localization system using retroreflective landmarks CH Tong, TD Barfoot 2011 IEEE International Conference on Robotics and Automation, 3601-3606, 2011 | 22 | 2011 |
| Wrong today, right tomorrow: Experience-based classification for robot perception J Hawke, C Gurău, CH Tong, I Posner Field and Service Robotics: Results of the 10th International Conference …, 2016 | 19 | 2016 |
| Rover odometry aided by a star tracker JD Gammell, CH Tong, P Berczi, S Anderson, TD Barfoot, J Enright 2013 IEEE Aerospace Conference, 1-10, 2013 | 16 | 2013 |
| Batch heterogeneous outlier rejection for feature-poor SLAM CH Tong, TD Barfoot 2011 IEEE International Conference on Robotics and Automation, 2630-2637, 2011 | 15 | 2011 |
| Fit for purpose? predicting perception performance based on past experience C Gurău, CH Tong, I Posner 2016 International Symposium on Experimental Robotics, 454-464, 2017 | 14 | 2017 |
Timothy D BarfootProfessor, University of TorontoVerified email at utoronto.ca
