The paper introduces and validates WiLoc, the largest public CSI dataset for machine-learning-based Wi-Fi localization, spanning millions of locations across indoor and outdoor environments.
A comprehensive survey of machine learning based localization with wireless signals
3 Pith papers cite this work. Polarity classification is still indexing.
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OmniLoc presents a geometry-aware foundation model for anchor-free user equipment localization from wireless signals that claims to generalize across diverse indoor environments.
Adaptive AoA localization framework uses hierarchical offline learning for large data and online incremental models for small data to achieve high accuracy on real mMIMO OFDM CSI dataset.
citing papers explorer
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WiLoc: Massive Measured Dataset of Wi-Fi Channel State Information with Application to Machine-Learning Based Localization
The paper introduces and validates WiLoc, the largest public CSI dataset for machine-learning-based Wi-Fi localization, spanning millions of locations across indoor and outdoor environments.
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OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments
OmniLoc presents a geometry-aware foundation model for anchor-free user equipment localization from wireless signals that claims to generalize across diverse indoor environments.
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Adaptive Learning Strategies for AoA-Based Outdoor Localization: A Comprehensive Framework
Adaptive AoA localization framework uses hierarchical offline learning for large data and online incremental models for small data to achieve high accuracy on real mMIMO OFDM CSI dataset.