AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception
Radar is a critical perception modality in autonomous driving systems due to its all-weather characteristics and ability to measure range and Doppler velocity. However, the sheer volume of high-dimensional raw radar data saturates the communication link to the computing engine (e.g., an NPU), which is often a low-bandwidth interface with data rate provisioned only for a few low-resolution range-Doppler frames. A generalized codec for utilizing high-dimensional radar data is notably absent, while existing image-domain approaches are unsuitable, as they typically operate at fixed compression ratios and fail to adapt to varying or adversarial conditions. In light of this, we propose radar da...
| Authors | Jinho Park, Se Young Chun, Mingoo Seok |
|---|---|
| Primary category | cs.CV |
| Published | 18 March 2026 |
| Last updated at source | 1 April 2026 |
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