On assessing the positioning accuracy of Google Tango in challenging indoor environments

Khuong An Nguyen, Zhiyuan Luo

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

The major challenges for optical based tracking are the lighting condition, the similarity of the scene, and the position of the camera.

This paper demonstrates that under such conditions, the positioning accuracy of Google's Tango platform may deteriorate from fine-grained centimetre level to metre level.

The paper proposes a particle filter based approach to fuse the WiFi signal and the magnetic field, which are not considered by Tango, and outlines a dynamic positioning selection module to deliver seamless tracking service in these challenging environments.
Original languageEnglish
Title of host publicationThe 8th International Conference on Indoor Positioning and Indoor Navigation
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Print)9781509062997
DOIs
Publication statusPublished - 23 Nov 2017
Event8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017) - , Japan
Duration: 18 Sep 201721 Sep 2017
https://ipin-conference.org/

Publication series

Name
ISSN (Electronic)2471-917X

Conference

Conference8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017)
CountryJapan
Period18/09/1721/09/17
Internet address

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  • Cite this

    Nguyen, K. A., & Luo, Z. (2017). On assessing the positioning accuracy of Google Tango in challenging indoor environments. In The 8th International Conference on Indoor Positioning and Indoor Navigation (pp. 1-8). IEEE. https://doi.org/10.1109/IPIN.2017.8115933