RAVEN introduces a chirp-wise streaming radar perception network with MIMO-preserving encoders, learnable cross-antenna mixing, and early-exit to deliver competitive detection and BEV segmentation at reduced compute and latency.
Toward efficient and robust sequential chirp-based data-driven radar processing for object detection.IEEE Transactions on Radar Systems, 3:1435–1448
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RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation
RAVEN introduces a chirp-wise streaming radar perception network with MIMO-preserving encoders, learnable cross-antenna mixing, and early-exit to deliver competitive detection and BEV segmentation at reduced compute and latency.