Indoor Localization
35 papers with code • 0 benchmarks • 5 datasets
Indoor localization is a fundamental problem in indoor location-based applications.
Benchmarks
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Libraries
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NILoc
RISEdb
dichasus-cf0x
Latest papers with no code
Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning
Indoor positioning systems based on Ultra-wideband (UWB) technology are gaining recognition for their ability to provide cm-level localization accuracy.
Differentially Private GANs for Generating Synthetic Indoor Location Data
In recent years, Differentially Private Generative Adversarial Networks (DPGANs) have emerged as a powerful methodology that aims to protect the privacy of individual data points while generating realistic synthetic data similar to original data.
Infrastructure-less Localization from Indoor Environmental Sounds Based on Spectral Decomposition and Spatial Likelihood Model
The proposed method can be used to evaluate the spatial likelihood from environmental sounds.
Improving BLE Based Localization Accuracy Using Proximity Sensors
The paper describes a concept of a hybrid localization system in which Bluetooth Low Energy technology is supported with the use of laser proximity sensors.
Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction
Smart indoor tourist attractions, such as smart museums and aquariums, usually require a significant investment in indoor localization devices.
A Survey of Application of Machine Learning in Wireless Indoor Positioning Systems
Numerous attempts have been made in the literature to develop efficient indoor positioning systems (IPSs), with a growing focus on machine learning (ML) based techniques.
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
Indoor localization is a critical task in many embedded applications, such as asset tracking, emergency response, and realtime navigation.
Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI
Passive indoor localization, integral to smart buildings, emergency response, and indoor navigation, has traditionally been limited by a focus on single-target localization and reliance on multi-packet CSI.
Indoor Localization of Smartphones Thanks to Zero-Energy-Devices Beacons
We accurately simulate the ambient waves from a BS of Orange 4G commercial network, inside an existing large building covered with ZED beacons, thanks to a ray-tracing-based propagation simulation tool.
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective
As a case study, we have constructed a dynamic database covering three floors of the IR building of XJTLU based on RSSI measurements, over 44 days, and investigated the differences between static and dynamic databases in terms of statistical characteristics and localization performance.
