SOURCE-LINKED INTELLIGENCE

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

arXiv · AI, language, vision and robotics · article · Sep 23, 2026 · UTC

Automotive spinning FMCW radar provides dense, $360^\circ$ sensing and remains reliable under poor illumination and adverse weather, making it well-suited to autonomous navigation. Place recognition uses these observations to identify previously visited locations for re-localization and long-term navigation. However, heading changes appear as circular shifts in the polar radar representation, and conventional global aggregation can lose relationships among radar responses that are important for distinguishing similar places. We propose SGCA-Net, a spinning radar place recognition framework tha

Read original source ↗ Open in workspace

recordType

paper

region

Global