Verwendung von Halbüberwachtem Variierendem Autocodierer für Wi-Fi-Basierte Innenraumlokalisierung

Details

Veröffentlichungs-Nr.

EP3798918

Aktenzeichen

EP19306204

Anmeldetag

26. September 2019

Veröffentlichung

29. Oktober 2025

Erteilung

29. Oktober 2025

Rechtsraum

EP

IPC

G06N3/088G06N3/045G06N3/047G01S5/02// G06N3/048

Abstract

Methods of training predictors for the location of a computing device in an indoor environment are provided. The methods comprise receiving training data comprising labelled data and unlabelled data. A method of training a predictor comprises training a variational autoencoder, wherein the variational autoencoder comprises encoder neural networks, which encode signal strength values in a latent variable, and decoder neural networks, which decode the latent variable to reconstructed signal strength values, and training a classification neural network that employs the latent variable to generate a predicted location. Another method of training a predictor comprises training a classification neural network together with a variational autoencoder, wherein the classification neural network receives signal strength values of the training data as input and outputs a predicted location to decoder neural networks of the variational autoencoder.

Anmelder

Firmen

Naver Corporation
Naver Labs Corporation

Land

🇰🇷 Südkorea

Fachgebiete