Are Doppler Velocity Measurements Useful for Spinning Radar Odometry?
IEEE Robotics Autom. Lett., January, 2025
Continuous-Time Radar-Inertial and Lidar-Inertial Odometry Using a Gaussian Process Motion Prior.
IEEE Trans. Robotics, 2025
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
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
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
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
Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation?
CoRR, 2020
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