4D mmWave radar for autonomous driving perception: a comprehensive survey
The rapid development of autonomous driving technology has driven continuous innovation
in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key …
in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key …
Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior
In this work, we demonstrate continuous-time radar-inertial and lidar-inertial odometry using
a Gaussian process motion prior. Using a sparse prior, we demonstrate improved …
a Gaussian process motion prior. Using a sparse prior, we demonstrate improved …
Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model
Millimeter wave (mmWave) radars have attracted significant attention from both academia
and industry due to their capability to operate in extreme weather conditions. However, they …
and industry due to their capability to operate in extreme weather conditions. However, they …
Towards introspective loop closure in 4D radar SLAM
Imaging radar is an emerging sensor modality in the context of Localization and Mapping
(SLAM), especially suitable for vision-obstructed environments. This article investigates the …
(SLAM), especially suitable for vision-obstructed environments. This article investigates the …
RAVE: A Framework for Radar Ego-Velocity Estimation
State estimation is an essential component of autonomous systems, usually relying on
sensor fusion that integrates data from cameras, LiDARs and IMUs. Recently, radars have …
sensor fusion that integrates data from cameras, LiDARs and IMUs. Recently, radars have …