Adapting Gaussian processes for cross-device Wi-Fi localization

Hsiao Chieh Yen, Chieh-Chih Wang

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

We investigate the use of linear adaptation on Gaussian processes for Wi-Fi localization in a cross-device setting. We focus on the case where one has a training set collected with one or more devices and a very small labeled adaptation set from the test device. We first present an algorithm to find reliable linear fits between a training set and a small adaptation set by exploiting the Gaussian process assumption that all measurements are spatially correlated. Such regression algorithm is more reliable than total least squares when the adaptation set is very small. Second, we show that the regression misfit can be used to model the additional uncertainty in a linearly adapted map for cross-device Wi-Fi localization. When such uncertainty estimate is used to fuse Gaussian process maps created from one or more training sets and an adaptation set, localization performance can be greatly improved given just a few adaptation samples.

原文English
主出版物標題2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013
發行者IEEE Computer Society
ISBN(列印)9781479940431
DOIs
出版狀態Published - 1 一月 2013
事件2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013 - Montbeliard-Belfort, France
持續時間: 28 十月 201331 十月 2013

出版系列

名字2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013

Conference

Conference2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013
國家France
城市Montbeliard-Belfort
期間28/10/1331/10/13

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