Satish Ravindran — accepted AI-conference papers

2025

Deep Unfolding Using Score-based Generative Networks for Automotive Radar Interference Mitigation

Xinyi Wei, Jihwan Youn, Jeroen Overdevest, Jun Li, Satish Ravindran, Ruud J. G. van Sloun

ICASSP 2025accepted

Automotive frequency-modulated continuous wave (FMCW) radars, essential in Advanced Driver Assistance Systems, encounter mutual interference issues that degrade their detection capabilities. Model-based algorithms, though widely used, rely heavily on predetermined assumptions about the statistical p…

Cited by 0 Source ↗Scholar ↗

2023

ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals

Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin Ren +1

ICRA 2023poster

Among various sensors for assisted and autonomous driving systems, automotive radar has been considered as a robust and low-cost solution even in adverse weather or lighting conditions. With the recent development of radar technologies and open-sourced annotated data sets, semantic segmentation with…

Cited by 5 Source ↗Scholar ↗