3 papers
cs.CV2026
Revisiting Radar Perception With Spectral Point Clouds
Hamza Alsharif, Jing Gu, Pavol Jancura +2
Radar perception models are trained with different inputs, from range-Doppler spectra to sparse point clouds. Dense spectra are assumed to outperform sparse point clouds, yet they…
eess.SP2026
Robust Radar Mounting Angle Estimation in Operational Driving Conditions
Simin Zhu, Satish Ravindran, Lihui Chen +2
The robust estimation of the mounting angle for millimeter-wave automotive radars installed on moving vehicles is investigated. We propose a novel signal processing pipeline that c…
eess.SP2025
Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds
Simin Zhu, Satish Ravindran, Alexander Yarovoy +1
Conventional radar segmentation research has typically focused on learning category labels for different moving objects. Although fundamental differences between radar and optical…