| Boreas: A multi-season autonomous driving dataset K Burnett, DJ Yoon, Y Wu, AZ Li, H Zhang, S Lu, J Qian, WK Tseng, ... The International Journal of Robotics Research 42 (1-2), 33-42, 2023 | 116 | 2023 |
| Mapless online detection of dynamic objects in 3d lidar D Yoon, T Tang, T Barfoot 2019 16th Conference on Computer and Robot Vision (CRV), 113-120, 2019 | 102 | 2019 |
| Are we ready for radar to replace lidar in all-weather mapping and localization? K Burnett, Y Wu, DJ Yoon, AP Schoellig, TD Barfoot IEEE Robotics and Automation Letters 7 (4), 10328-10335, 2022 | 64 | 2022 |
| Radar odometry combining probabilistic estimation and unsupervised feature learning K Burnett, DJ Yoon, AP Schoellig, TD Barfoot arXiv preprint arXiv:2105.14152, 2021 | 62 | 2021 |
| A White-Noise-on-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3) TY Tang, DJ Yoon, TD Barfoot IEEE Robotics and Automation Letters 4 (2), 594-601, 2019 | 45 | 2019 |
| Exactly sparse Gaussian variational inference with application to derivative-free batch nonlinear state estimation TD Barfoot, JR Forbes, DJ Yoon The International Journal of Robotics Research 39 (13), 1473-1502, 2020 | 42 | 2020 |
| Learning a bias correction for lidar-only motion estimation TY Tang, DJ Yoon, F Pomerleau, TD Barfoot 2018 15th Conference on Computer and Robot Vision (CRV), 166-173, 2018 | 33 | 2018 |
| Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition K Burnett, J Qian, X Du, L Liu, DJ Yoon, T Shen, S Sun, S Samavi, ... Journal of Field Robotics 38 (1), 139-166, 2021 | 27 | 2021 |
| A Data-Driven Motion Prior for Continuous-Time Trajectory Estimation on SE(3) JN Wong, DJ Yoon, AP Schoellig, TD Barfoot IEEE Robotics and Automation Letters 5 (2), 1429-1436, 2020 | 25 | 2020 |
| Variational inference with parameter learning applied to vehicle trajectory estimation JN Wong, DJ Yoon, AP Schoellig, TD Barfoot IEEE Robotics and Automation Letters 5 (4), 5291-5298, 2020 | 23 | 2020 |
| Picking up speed: Continuous-time lidar-only odometry using doppler velocity measurements Y Wu, DJ Yoon, K Burnett, S Kammel, Y Chen, H Vhavle, TD Barfoot IEEE Robotics and Automation Letters 8 (1), 264-271, 2022 | 22 | 2022 |
| Unsupervised learning of lidar features for use ina probabilistic trajectory estimator DJ Yoon, H Zhang, M Gridseth, H Thomas, TD Barfoot IEEE Robotics and Automation Letters 6 (2), 2130-2138, 2021 | 15 | 2021 |
| Field deployment of the tethered robotic explorer to map extremely steep terrain P McGarey, D Yoon, T Tang, F Pomerleau, TD Barfoot Field and Service Robotics: Results of the 11th International Conference …, 2018 | 14 | 2018 |
| Developing and deploying a tethered robot to map extremely steep terrain P McGarey, D Yoon, T Tang, F Pomerleau, TD Barfoot Journal of Field Robotics 35 (8), 1327-1341, 2018 | 13 | 2018 |
| Need for speed: Fast correspondence-free LiDAR-inertial odometry using doppler velocity DJ Yoon, K Burnett, J Laconte, Y Chen, H Vhavle, S Kammel, J Reuther, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7* | 2023 |
| Are doppler velocity measurements useful for spinning radar odometry? D Lisus, K Burnett, DJ Yoon, R Poulton, J Marshall, TD Barfoot IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
| Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model DJ Yoon, TD Barfoot 2023 IEEE International Conference on Robotics and Automation (ICRA), 3962-3968, 2023 | 1 | 2023 |
Timothy D BarfootProfessor, University of TorontoVerified email at utoronto.ca
