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Keenan Burnett
Keenan Burnett
Verified email at robotics.utias.utoronto.ca
Title
Cited by
Cited by
Year
Do we need to compensate for motion distortion and doppler effects in spinning radar navigation?
K Burnett, AP Schoellig, TD Barfoot
IEEE Robotics and Automation Letters 6 (2), 771-778, 2021
292021
autotrack: A lightweight object detection and tracking system for the sae autodrive challenge
K Burnett, S Samavi, S Waslander, T Barfoot, A Schoellig
2019 16th Conference on Computer and Robot Vision (CRV), 209-216, 2019
182019
Building a winning self-driving car in six months
K Burnett, A Schimpe, S Samavi, M Gridseth, CW Liu, Q Li, Z Kroeze, ...
2019 International Conference on Robotics and Automation (ICRA), 9583-9589, 2019
172019
Radar odometry combining probabilistic estimation and unsupervised feature learning
K Burnett, DJ Yoon, AP Schoellig, TD Barfoot
Robotics: Science and Systems (RSS) 2021, 2021
162021
Boreas: A multi-season autonomous driving dataset
K Burnett, DJ Yoon, Y Wu, AZ Li, H Zhang, S Lu, J Qian, WK Tseng, ...
arXiv preprint arXiv:2203.10168, 2022
152022
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
82021
Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?
K Burnett, Y Wu, DJ Yoon, AP Schoellig, TD Barfoot
arXiv preprint arXiv:2203.10174, 2022
62022
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
2022
On the Design and Development of a Self-driving Car for the SAE AutoDrive Challenge
K Burnett
University of Toronto (Canada), 2020
2020
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