Keenan Burnett

Orcid: 0000-0001-7496-1144

According to our database1, Keenan Burnett authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Are Doppler Velocity Measurements Useful for Spinning Radar Odometry?
CoRR, 2024

IMU as an Input vs. a Measurement of the State in Inertial-Aided State Estimation.
CoRR, 2024

Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior.
CoRR, 2024

2023
Boreas: A multi-season autonomous driving dataset.
Int. J. Robotics Res., January, 2023

Picking up Speed: Continuous-Time Lidar-Only Odometry Using Doppler Velocity Measurements.
IEEE Robotics Autom. Lett., 2023

Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights.
CoRR, 2023

Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity.
CoRR, 2023

Need for Speed: Fast Correspondence-Free Lidar-Inertial Odometry Using Doppler Velocity.
IROS, 2023

2022
Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?
IEEE Robotics Autom. Lett., 2022

Should Radar Replace Lidar in All-Weather Mapping and Localization?
CoRR, 2022

Boreas: A Multi-Season Autonomous Driving Dataset.
CoRR, 2022

2021
Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?
IEEE Robotics Autom. Lett., 2021

Zeus: A system description of the two-time winner of the collegiate SAE autodrive competition.
J. Field Robotics, 2021

Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning.
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?
CoRR, 2020

2019
Building a Winning Self-Driving Car in Six Months.
Proceedings of the International Conference on Robotics and Automation, 2019

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019


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