- Ph.D. Student, Aerospace Science and Engineering (Autonomous Space Robotics Lab, Dynamic Systems Lab, University of Toronto Institute for Aerospace Studies)
- M.A.Sc., Aerospace Science and Engineering (Autonomous Space Robotics Lab, Dynamic Systems Lab, University of Toronto Institute for Aerospace Studies)
- B.A.Sc., Engineering Science ECE Option (Engineering Science, University of Toronto)
Keenan Burnett
Ph.D. Student (Autonomous Space Robotics Lab, Dynamic Systems Lab, University of Toronto Institute for Aerospace Studies)
M.A.Sc. (Autonomous Space Robotics Lab, Dynamic Systems Lab, University of Toronto Institute for Aerospace Studies)
B.A.Sc. (Engineering Science ECE Option, University of Toronto)
Institute for Aerospace Studies
University of Toronto
aUToronto
4925 Dufferin Street
Toronto, Ontario, Canada
M3H 5T6
keenan.burnett [at] robotics.utias.utoronto.ca
Google Scholar
Linkedin
Github
YouTube
Research
After leading the team for three successful years, I am now an advisor to UofT's self-driving car team, aUToronto. My current research centers around localizing autonomous vehicles in adverse weather conditions through the application of radar. Autonomous vehicles are one of the most interesting engineering problems today and have the potential to provide numerous benefits to society. I am motivated to work on robotics applications that benefit people in their everyday lives.
Education
Teaching
- AER1514: Introduction to Mobile Robotics - Teaching Assistant (Winter 2019)
- ROB301: Introduction to Robotics - Teaching Assistant (Fall 2020, Fall 2021)
Publications
Journal and Magazine Articles
- Wu Y, Yoon D J, Burnett K, Kammel S, Chen Y, Vhavle H, and Barfoot T D. “Picking Up Speed: Continuous-Time Lidar-Only Odometry using Doppler Velocity Measurements”. IEEE Robotics and Automation Letters (RAL), 8(1):264–271, 2023. doi: 10.1109/LRA.2022.3226068 (google) (pdf) (arXiv:2209.03304 [cs.RO]) (Video), to be presented at ICRA 2023.
- Burnett K, Yoon D J, Wu Y, Li A, Zhang H, Li S, Qian J, Tseng W, Lambert A, Leung K, Schoellig A P, and Barfoot T D. "Boreas: A Multi-Season Autonomous Driving Dataset". International Journal of Robotics Research (IJRR), 2023. doi: 10.1177/02783649231160195 (google) (pdf) (arXiv:2203.10168 [cs.RO]) (Video) (Dataset)
- Burnett K, Wu Y, Yoon D J, Schoellig A P, and Barfoot T D. “Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?” IEEE Robotics and Automation Letters (RAL), 7(4):10328–10335, 2022. doi: 10.1109/LRA.2022.3192885 (google) (arXiv:2203.10174 [cs.RO]) (Video1) (Video2) (Code), presented at IROS 2022.
- Burnett K, Schoellig A P, and Barfoot T D. "Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?" IEEE Robotics and Automation Letters (RAL), 6(2):771–778, 2021. doi: 10.1109/LRA.2021.3052439 (google). (pdf) (arXiv:2011.03512 [cs.RO]) (Video1) (Video2) (Code), presented at ICRA 2021.
- Burnett K, Qian J, Du X, Samavi S, Liu L, Yoon D, Sun S, Shen T, Sorocky M, Bianchi M, Zhang K, Sykora Q, Arkhangorodsky A, Schoellig A P, and Barfoot T D."Zeus: A system description of the two-time winner of the collegiate SAE autodrive competition." Journal of Field Robotics, 38(1):139–166, 2021. doi: 10.1002/rob.21958, (google). (pdf), (arXiv:2004.08752 [cs.RO]) (Video)
Conference Papers
- Yoon D J, Burnett K, Laconte J, Chen Y, Vhavle H, Kammel S, Reuther J, and Barfoot T D. "Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity". Submitted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) on March 1, 2023. Manuscript # 2064. (arXiv:2303.06511 [cs.RO])
- Burnett K, Yoon D, Schoellig A P, and Barfoot T D. "Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning." In Proceedings of Robotics: Science and Systems (RSS). 12-16 July 2021. (arXiv:2105.14152 [cs.RO]) (Video1) (Video2) (Code).
- Burnett K, Samavi S, Waslander S L, Barfoot T D, and Schoellig A P. "aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge." In Proceedings of the 16th Conference on Computer and Robot Vision (CRV). Kingston, Canada, 29-31 May 2019. doi: 10.1109/CRV.2019.00036 (google) (pdf), CRV 2019 Best Poster Presentation Award, (arXiv:1905.08758 [cs.RO]) (Video).
- Burnett K, Schimpe A, Samavi S, Gridseth M, Liu C W, Li Q, Kroeze Z, and Schoellig A P."Building a Winning Self-Driving Car in Six Months." In Proceedings of the International Conference on Robotics and Automation (ICRA). Montreal, QC, Canada. May 2019. (arXiv:1811.01273 [cs.RO]) (Video).