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

Khuong An Nguyen; Zhiyuan Luo

doi:10.1109/IPIN.2017.8115933

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 ISBN › Conference contribution with ISSN or ISBN › peer-review

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 language	English
Title of host publication	The 8th International Conference on Indoor Positioning and Indoor Navigation
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Print)	9781509062997
DOIs	https://doi.org/10.1109/IPIN.2017.8115933
Publication status	Published - 23 Nov 2017
Event	8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017) - , Japan Duration: 18 Sept 2017 → 21 Sept 2017 https://ipin-conference.org/

Publication series

Name
ISSN (Electronic)	2471-917X

Conference

Conference	8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017)
Country/Territory	Japan
Period	18/09/17 → 21/09/17
Internet address	https://ipin-conference.org/

Access to Document

10.1109/IPIN.2017.8115933

Tango_optical_tracking_challenging_environmentsAccepted author manuscript, 9.23 MB

http://khuong.uk/Papers/Tango_optical_tracking_challenging_environments.pdf

Cite this

@inproceedings{5f3c074a58b04beb9d74d65cc30c7432,

title = "On assessing the positioning accuracy of Google Tango in challenging indoor environments",

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.",

author = "Nguyen, {Khuong An} and Zhiyuan Luo",

year = "2017",

month = nov,

day = "23",

doi = "10.1109/IPIN.2017.8115933",

language = "English",

isbn = "9781509062997",

publisher = "IEEE",

pages = "1--8",

booktitle = "The 8th International Conference on Indoor Positioning and Indoor Navigation",

note = "8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017) ; Conference date: 18-09-2017 Through 21-09-2017",

url = "https://ipin-conference.org/",

}

TY - GEN

T1 - On assessing the positioning accuracy of Google Tango in challenging indoor environments

AU - Nguyen, Khuong An

AU - Luo, Zhiyuan

PY - 2017/11/23

Y1 - 2017/11/23

N2 - 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.

AB - 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.

U2 - 10.1109/IPIN.2017.8115933

DO - 10.1109/IPIN.2017.8115933

M3 - Conference contribution with ISSN or ISBN

SN - 9781509062997

SP - 1

EP - 8

BT - The 8th International Conference on Indoor Positioning and Indoor Navigation

PB - IEEE

T2 - 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017)

Y2 - 18 September 2017 through 21 September 2017

ER -

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

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this