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Indoor Localization

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

Papers

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Showing 171–180 of 250 papers

TitleStatusHype
OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based FingerprintingCode1
QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices—0
Towards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis—0
Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile RobotsCode1
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
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor LocalizationCode1
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