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Indoor Localization

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

Papers

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Showing 71–80 of 250 papers

TitleStatusHype
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization—0
Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization—0
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization—0
Federated Learning based Hierarchical 3D Indoor Localization—0
A New Statistical Approach to Calibration-Free Localization Using Unlabeled Crowdsourced Data—0
A Deep Learning Approach in RIS-based Indoor Localization—0
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks—0
Federated Distillation based Indoor Localization for IoT Networks—0
Exploring Indoor Localization for Smart Education—0
A New Paradigm for Device-free Indoor Localization: Deep Learning with Error Vector Spectrum in Wi-Fi Systems—0
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