Keenan Burnett

According to our database, Keenan Burnett authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior.

Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot

CoRR, 2024

2023

Boreas: A multi-season autonomous driving dataset.

Keenan Burnett, David J. Yoon, Yuchen Wu, Andrew Zou Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Yk Leung, Angela P. Schoellig, Timothy D. Barfoot

Int. J. Robotics Res., January, 2023

Picking up Speed: Continuous-Time Lidar-Only Odometry Using Doppler Velocity Measurements.

Yuchen Wu, David J. Yoon, Keenan Burnett, Sören Kammel, Yi Chen, Heethesh Vhavle, Timothy D. Barfoot

IEEE Robotics Autom. Lett., 2023

Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights.

Daniil Lisus, Johann Laconte, Keenan Burnett, Timothy D. Barfoot

CoRR, 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

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

2022

Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?

Keenan Burnett, Yuchen Wu, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot

IEEE Robotics Autom. Lett., 2022

Should Radar Replace Lidar in All-Weather Mapping and Localization?

Keenan Burnett, Yuchen Wu, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot

CoRR, 2022

Boreas: A Multi-Season Autonomous Driving Dataset.

Keenan Burnett, David J. Yoon, Yuchen Wu, Andrew Zou Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Yu Kit Leung, Angela P. Schoellig, Timothy D. Barfoot

CoRR, 2022

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

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, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot

J. Field Robotics, 2021

Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning.

Keenan Burnett, David J. Yoon, Angela P. Schoellig, Tim D. Barfoot

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

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

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

Proceedings of the International Conference on Robotics and Automation, 2019

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

Proceedings of the 16th Conference on Computer and Robot Vision, 2019