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Indoor Localization

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

Papers

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Showing 1–10 of 250 papers

TitleStatusHype
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation—0
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning—0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
MMWiLoc: A Multi-Sensor Dataset and Robust Device-Free Localization Method Using Commercial Off-The-Shelf Millimeter Wave Wi-Fi DevicesCode0
CiUAV: A Multi-Task 3D Indoor Localization System for UAVs based on Channel State Information—0
OWP-IMU: An RSS-based Optical Wireless and IMU Indoor Positioning Dataset—0
AI-Assisted NLOS Sensing for RIS-Based Indoor Localization in Smart Factories—0
Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization—0
Robust Indoor Localization via Conformal Methods and Variational Bayesian Adaptive Filtering—0
EnviKal-Loc: Sub-10m Indoor LoRaWAN Localization using an Environmental-Aware Path Loss and Adaptive RSSI SmoothingCode0
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