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Indoor Localization

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

Papers

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Showing 61–70 of 250 papers

TitleStatusHype
Wireless Channel Aware Data Augmentation Methods for Deep Learning-Based Indoor Localization—0
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems—0
Solving Short-Term Relocalization Problems In Monocular Keyframe Visual SLAM Using Spatial And Semantic DataCode0
Hierarchical Stage-Wise Training of Linked Deep Neural Networks for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi RSSI Fingerprinting—0
Mean Teacher based SSL Framework for Indoor Localization Using Wi-Fi RSSI Fingerprinting—0
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks—0
A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain—0
Localization in Multipath Environments via Active Sensing with Reconfigurable Intelligent Surfaces—0
Evaluation of Sparse Acoustic Array Geometries for Indoor Localization—0
Floor-Plan-aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and PrototypeCode0
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