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Indoor Localization

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

Papers

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Showing 31–40 of 250 papers

TitleStatusHype
3-D Localization with Multiple LEDs Lamps in OFDM-VLC system—0
A Simplistic and Cost-Effective Design for Real-World Development of an Ambient Assisted Living System for Fall Detection and Indoor Localization: Proof of Concept—0
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information—0
A Deep Learning Approach for Generating Soft Range Information from RF Data—0
Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks—0
A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning—0
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning—0
Application-driven Test and Evaluation Framework for Indoor Localization Systems in Warehouses—0
Appearance-based indoor localization: A comparison of patch descriptor performance—0
Adaptive Sampling of RF Fingerprints for Fine-grained Indoor Localization—0
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