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Indoor Localization

Indoor localization is a fundamental problem in indoor location-based applications.

Papers

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Showing 111–120 of 250 papers

TitleStatusHype
NeRF2: Neural Radio-Frequency Radiance Fields—0
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge ComputingCode0
Method for Specifying Location Data Requirements for Intralogistics Applications—0
Flexible K Nearest Neighbors Classifier: Derivation and Application for Ion-mobility Spectrometry-based Indoor Localization—0
WiRiS: Transformer for RIS-Assisted Device-Free Sensing for Joint People Counting and Localization using Wi-Fi CSI—0
A New Paradigm for Device-free Indoor Localization: Deep Learning with Error Vector Spectrum in Wi-Fi Systems—0
High-Precision Machine-Learning Based Indoor Localization with Massive MIMO System—0
Federated Learning based Hierarchical 3D Indoor Localization—0
VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization—0
Technology Report : Smartphone-Based Pedestrian Dead Reckoning Integrated with Data-Fusion-Adopted Visible Light Positioning—0
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