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Indoor Localization

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

Papers

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Showing 176–200 of 250 papers

TitleStatusHype
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
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking—0
Adaptive Channel Estimation based on Deep LearningCode1
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
Neural Network-Based Ranging with LTE Channel Impulse Response for Localization in Indoor Environments—0
EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks—0
Multiview Variational Deep Learning with Application to Scalable Indoor Localization—0
Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization—0
Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization—0
MetaRadar: Indoor Localization by Reconfigurable Metamaterials—0
Zero-Shot Multi-View Indoor Localization via Graph Location NetworksCode1
GPU-accelerated Hierarchical Panoramic Image Feature Retrieval for Indoor Localization—0
Outlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning—0
Robot-assisted Backscatter Localization for IoT Applications—0
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization—0
Statistical learning for sensor localization in wireless networks—0
Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of ThingsCode1
Learning-based Bias Correction for Ultra-wideband Localization of Resource-constrained Mobile Robots—0
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