Millimeter-wave (mmWave) radar has gained increasing attention in environmental
perception due to its robustness under low-light conditions. However, existing methods fail …

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 …

Millimeter wave (mmWave) sensing is an emerging technology with applications in 3D
object characterization and environment mapping. However, realizing precise 3D …

Millimeter wave radar is a promising sensing modality for enabling pervasive and privacy-
preserving human sensing. However, the lack of large-scale radar datasets limits the …

Millimeter Wave Radar is being adopted as a viable alternative to lidar and radar in adverse
visually degraded conditions, such as the presence of fog and dust. However, this sensor …

Neural fields have been broadly investigated as scene representations for the reproduction
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …

Compared with an extensive list of automotive radar datasets that support autonomous
driving, indoor radar datasets are scarce at a smaller scale in the format of low-resolution …

Millimeter wave sensing has recently attracted a lot of attention given its environmental
robust nature. In situations where visual sensors like cameras fail to perform, mmwave …

This paper explores a machine learning approach on data from a single-chip mmWave
radar for generating high resolution point clouds–a key sensing primitive for robotic …

Millimeter-wave radars are increasingly integrated into commercial vehicles to support
advanced driver-assistance systems, enabling robust object detection, localization, and …