In this work, we use a novel hierarchical navigable small world graph technique to build a search structure so the location of a sample can be efficiently found ...
Jul 16, 2024 · The main goal of an Indoor Positioning System (IPS) is to estimate the position of mobile devices in indoor environments.
A Small World Graph Approach for an Efficient Indoor Positioning System
pubmed.ncbi.nlm.nih.gov › ...
The main goal of an Indoor Positioning System (IPS) is to estimate the position of mobile devices in indoor environments.
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The goal of this study was to create a model capable of accurately detecting users' locations during indoor localization.
This work uses a novel hierarchical navigable small world graph technique to fit the training database so that the samples can be efficiently classified.
A Small World Graph Approach for an Efficient Indoor Positioning System · Max ... This paper presents an efficient map matching system for indoor localization ...
Dec 11, 2023 · This method involves using a Graph Neural Network (GNN) based algorithm in a supervised manner to classify a specific location into a particular region based ...
Jan 4, 2021 · In order to solve the above problems, this paper proposes the indoor positioning method combining PCA with naive bayes classifier (NBC), namely ...
Indoor Positioning Systems (IPSs) are used to estimate the position of mobile devices in indoor environments. Fingerprinting is the most use.
Abstract: Indoor positioning systems are becoming more popular due to the limitations of Global Positioning System (GPS) in locating.