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Indoor Localization

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

Papers

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Showing 181–190 of 250 papers

TitleStatusHype
Self-Calibrating Indoor Localization with Crowdsourcing Fingerprints and Transfer Learning—0
DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization—0
RISEdb: a Novel Indoor Localization Dataset—0
Peer-to-Peer Localization for Single-Antenna Devices—0
Energy Neutral Devices: Can Hybrid RF Acoustic Signals Point Them Out?—0
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking—0
MetaLocalization: Reconfigurable Intelligent Surface Aided Multi-user Wireless Indoor Localization—0
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications—0
Database Assisted Nonlinear Least Squares Algorithm for Visible Light Positioning in NLOS Environments—0
Novel Visible Light Communication Assisted Perspective-Four-Line Algorithm for Indoor Localization—0
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