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David J. Yoon
David J. Yoon
PhD student, University of Toronto
Dirección de correo verificada de robotics.utias.utoronto.ca
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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
822023
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
822019
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
472022
Radar odometry combining probabilistic estimation and unsupervised feature learning
K Burnett, DJ Yoon, AP Schoellig, TD Barfoot
arXiv preprint arXiv:2105.14152, 2021
472021
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
382019
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
342018
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
302020
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
222020
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
192020
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
182021
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
152022
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
142021
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
142018
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
102018
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
3*2023
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
12023
Are Doppler Velocity Measurements Useful for Spinning Radar Odometry?
D Lisus, K Burnett, DJ Yoon, TD Barfoot
arXiv preprint arXiv:2404.01537, 2024
2024
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Artículos 1–17