4 papers
RaUF: Learning the Spatial Uncertainty Field of Radar
Shengpeng Wang, Kuangyu Wang, Wei Wang
Millimeter-wave radar offers unique advantages in adverse weather but suffers from low spatial fidelity, severe azimuth ambiguity, and clutter-induced spurious returns. Existing me…
RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion
Ruijie Zhang, Bixin Zeng, Shengpeng Wang +2
Millimeter-wave radar offers a promising sensing modality for autonomous systems thanks to its robustness in adverse conditions and low cost. However, its utility is significantly…
SE: Self-Supervised State Estimation for Radar-Inertial System
Shengpeng Wang, Yulong Xie, Qing Liao +1
Millimeter-wave radar for state estimation is gaining significant attention for its affordability and reliability in harsh conditions. Existing localization solutions typically rel…
SDDiff: Boost Radar Perception via Spatial-Doppler Diffusion
Shengpeng Wang, Xin Luo, Yulong Xie +1
Point cloud extraction (PCE) and ego velocity estimation (EVE) are key capabilities gaining attention in 3D radar perception. However, existing work typically treats these two task…