aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. - Keenan Burnett; Sepehr Samavi; Steven L. Waslander; Timothy D. Barfoot; Angela P. Schoellig (CRV, 2019)

Building a Winning Self-Driving Car in Six Months. - Keenan Burnett; Andreas Schimpe; Sepehr Samavi; Mona Gridseth; Chengzhi Winston Liu; Qiyang Li; Zachary Kroeze; Angela P. Schoellig (ICRA, 2019)

Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation? - Keenan Burnett; Angela P. Schoellig; Timothy D. Barfoot (CoRR, 2020)

Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning. - Keenan Burnett; David J. Yoon; Angela P. Schoellig; Tim D. Barfoot (Robotics: Science and Systems, 2021)

Zeus: A system description of the two-time winner of the collegiate SAE autodrive competition. - Keenan Burnett; Jingxing Qian; Xintong Du; Linqiao Liu; David J. Yoon; Tianchang Shen; Susan Sun; Sepehr Samavi; Michael J. Sorocky; Mollie Bianchi; Kaicheng Zhang; Arkady Arkhangorodsky; et al. (J. Field Robotics, 2021)

Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation? - Keenan Burnett; Angela P. Schoellig; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2021)

Should Radar Replace Lidar in All-Weather Mapping and Localization? - Keenan Burnett; Yuchen Wu 001; David J. Yoon; Angela P. Schoellig; Timothy D. Barfoot (CoRR, 2022)

Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization? - Keenan Burnett; Yuchen Wu 001; David J. Yoon; Angela P. Schoellig; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2022)

Need for Speed: Fast Correspondence-Free Lidar-Inertial Odometry Using Doppler Velocity. - David J. Yoon; Keenan Burnett; Johann Laconte; Yi Chen; Heethesh Vhavle; Sören Kammel; James Reuther; Timothy D. Barfoot (IROS, 2023)

Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity. - David J. Yoon; Keenan Burnett; Johann Laconte; Yi Chen; Heethesh Vhavle; Sören Kammel; James Reuther; Timothy D. Barfoot (CoRR, 2023)

Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights. - Daniil Lisus; Johann Laconte; Keenan Burnett; Timothy D. Barfoot (CoRR, 2023)

Picking up Speed: Continuous-Time Lidar-Only Odometry Using Doppler Velocity Measurements. - Yuchen Wu 001; David J. Yoon; Keenan Burnett; Sören Kammel; Yi Chen; Heethesh Vhavle; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2023)

Boreas: A multi-season autonomous driving dataset. - Keenan Burnett; David J. Yoon; Yuchen Wu 001; Andrew Zou Li; Haowei Zhang; Shichen Lu; Jingxing Qian; Wei-Kang Tseng; Andrew Lambert; Keith Yu Kit Leung; Angela P. Schoellig; Timothy D. Barfoot (Int. J. Robotics Res., 2023)

IMU as an Input vs. a Measurement of the State in Inertial-Aided State Estimation. - Keenan Burnett; Angela P. Schoellig; Timothy D. Barfoot (CoRR, 2024)

Are Doppler Velocity Measurements Useful for Spinning Radar Odometry? - Daniil Lisus; Keenan Burnett; David J. Yoon; Timothy D. Barfoot (CoRR, 2024)

IMU as an input versus a measurement of the state in inertial-aided state estimation. - Keenan Burnett; Angela P. Schoellig; Timothy D. Barfoot (Robotica, 2025)

Continuous-Time Radar-Inertial and Lidar-Inertial Odometry Using a Gaussian Process Motion Prior. - Keenan Burnett; Angela P. Schoellig; Timothy D. Barfoot (IEEE Trans. Robotics, 2025)

Are Doppler Velocity Measurements Useful for Spinning Radar Odometry? - Daniil Lisus; Keenan Burnett; David J. Yoon; Richard Poulton; John Marshall; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2025)