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Indoor Localization

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

Papers

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Showing 51–75 of 250 papers

TitleStatusHype
Evaluation of An Indoor Localization Engine—0
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen EnvironmentsCode1
Differentially Private GANs for Generating Synthetic Indoor Location Data—0
Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning—0
Fully Geometric Panoramic LocalizationCode2
Infrastructure-less Localization from Indoor Environmental Sounds Based on Spectral Decomposition and Spatial Likelihood Model—0
Improving BLE Based Localization Accuracy Using Proximity Sensors—0
Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction—0
A Survey of Application of Machine Learning in Wireless Indoor Positioning Systems—0
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization—0
Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI—0
Representing 3D sparse map points and lines for camera relocalizationCode3
Indoor Localization of Smartphones Thanks to Zero-Energy-Devices Beacons—0
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective—0
Improved Indoor Localization with Machine Learning Techniques for IoT applications—0
Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA—0
Neural 5G Indoor Localization with IMU Supervision—0
A Survey on Indoor Visible Light Positioning Systems: Fundamentals, Applications, and Challenges—0
Dynamic Indoor Fingerprinting Localization based on Few-Shot Meta-Learning with CSI Images—0
Algorithm-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks—0
LEO Satellite and RIS: Two Keys to Seamless Indoor and Outdoor Localization—0
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor NodeCode1
STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor LocalizationCode0
IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI—0
Multimodal Indoor Localization Using Crowdsourced Radio Maps—0
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