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Vision-Wireless Fusion for Multi-User Localization: A Cross-Modal Transformer Approach
Accurate multi-user localization is challenging in complex urban environments, where wireless measurements can become ambiguous under noise, blockage, and multipath, while visual observations provide complementary spatial context. This paper presents a vision-wireless fusion framework for multi-user localization using pilot-indexed channel state information (CSI). Orthogonal pilot indices preserve the identities of the communicating UEs in the CSI token sequence and localization outputs. The model encodes each pilot-indexed CSI observation as a query token and uses cross-attention to retrieve
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T05:46:38.000Z
First collected: 2026-09-23T10:01:48.231Z. This is not the publication date.