Indoor Localization with an Autoencoder based Convolutional Neural Network

Nowadays, studies on indoor localization systems based on wireless systems are increasing widely. Indoor localization is the process of determining the location of objects or people inside a building. Global Navigation Satellite System (GPS) signals do not provide sufficient location data indoors be...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE access Ročník 12; s. 1
Hlavní autoři:	Arslantas, Hatice, Okdem, Selcuk
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks autoencoder Buildings convolutional neural network Convolutional neural networks Deep learning Encoding Fingerprint recognition Floors Global navigation satellite system Indoor environment Indoor localization Localization Location awareness Machine learning Neural networks Satellite navigation systems Systems design Training Wi-Fi fingerprint localization Wireless fidelity
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!