arXiv AI September 24, 2026 By Saimunur Rahman, Sagun Singh Shrestha, Abdelwahed Khamis, Peyman Moghadam

Automotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation Representation

The paper introduces SGCA‑Net, a framework for place recognition using automotive spinning FMCW radar. It combines rotation‑robust feature extraction with Spatially Gated Correlation Aggregation, which learns spatial weights to mitigate unstable radar regions while preserving informative pairwise correlations. Experiments on the MulRan dataset show SGCA‑Net outperforms state‑of‑the‑art methods in various environments, and tests on the HeRCULES dataset demonstrate its ability to generalize to unseen settings and sensors without fine‑tuning.

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