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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SP2026

Cellular Signal Constructed Convolutional Vision Transformer for High Accuracy Positioning

Junshi Chen, Xuhong Li, Russ Whiton +1

The paper introduces a hybrid convolutional‑vision transformer (ConViT) that combines CNN local filtering with Transformer global attention to improve high‑accuracy positioning usi…

eess.SP2026

Probabilistic Occupancy Grid for Radio-Based SLAM

Xuhong Li, Erik Leitinger, Fredrik Tufvesson +1

Sensing is an integral part of 6G and beyond systems, providing exceptional environmental perception along with communication. Radio frequency (RF)-based sensing often relies on si…

eess.SP2026

Adaptive Multipath-Based SLAM for Distributed MIMO Systems

Xuhong Li, Benjamin J. B. Deutschmann, Erik Leitinger +1

Localizing users and mapping the environment using radio signals is a key task in emerging applications such as low-latency communications and safety-critical navigation. Recently…

eess.SP2025

Posterior Cramér-Rao Bounds on Localization and Mapping Errors in Distributed MIMO SLAM

Benjamin J. B. Deutschmann, Xuhong Li, Florian Meyer +1

Radio-frequency simultaneous localization and mapping (RF-SLAM) methods jointly infer the position of mobile transmitters and receivers in wireless networks, together with a geomet…

eess.SP2025

Robust Localization in Modern Cellular Networks using Global Map Features

Junshi Chen, Xuhong Li, Russ Whiton +2

Radio frequency (RF) signal-based localization using modern cellular networks has emerged as a promising solution to accurately locate objects in challenging environments. One of t…

eess.SP2025

Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm

Dumitra Iancu, Liang Liu, Ove Edfors +2

Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate…