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arXiv Computer Vision By Lyuzhou Ye, Heng Fan, Yan Huang

SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations

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SymNetPro is a localization framework that extends SymNet by adding a line‑of‑sight aware attention bias and a transmitter‑drop augmentation technique. These components help the model learn obstruction‑aware spatial relations and handle varying numbers of transmitters. Experiments on ray‑traced urban environments demonstrate lower OSPA errors compared to baseline methods, especially under sparse sampling, noise, and higher transmitter counts.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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