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Augmented Reality Approach For Position-based Service using Handheld Smartphone

Published: 12 November 2019 Publication History

Abstract

In this work, we present an augmented reality (AR) approach for position based service using a smartphone in an indoor environment. The AR method, combined with position estimation, provides a user with a smartphone with a service that is specific to a particular position without using a marker or any other hardware device. The position in an indoor environment is estimated using an IMU sensor only in the smartphone. The accuracy of the position and heading direction of the user is improved by integrating the values from the accelerometer and the gyro using Principal Component Analysis(PCA) and Extended Kalman Filter(EKF). Then, a drift noise of the estimated position is reduced by a registration step performed at a specific position. The estimated position is given to the position based service, which is provided to the user on the smartphone screen through AR. The concept of the proposed method is demonstrated with some examples.

References

[1]
A. R. Jiménez, F. Seco, J. C. Prieto, and J. Guevara. 2010. Indoor Pedestrian navigation using an INS/EKF framework for yaw drift reduction and a foot-mounted IMU. Proceedings of the 2010 7th Workshop on Positioning, Navigation and Communication, WPNC’10, 135 – 143. https://doi.org/10.1109/WPNC.2010.5649300
[2]
Mathieu Labbé and François Michaud. 2018. RTAB-Map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation: LABBÉ and MICHAUD. Journal of Field Robotics 36 (10 2018). https://doi.org/10.1002/rob.21831
[3]
Nesma Mohssen, Rana Momtaz, Heba Aly, and Moustafa Youssef. 2014. It’s the Human that Matters: Accurate User Orientation Estimation for Mobile Computing Applications. CoRR abs/1411.2156(2014). arxiv:1411.2156http://arxiv.org/abs/1411.2156
[4]
Zengshan Tian, Yuan Zhang, Mu Zhou, and Yu Liu. 2014. Pedestrian dead reckoning for MARG navigation using a smartphone. EURASIP Journal on Advances in Signal Processing 2014 (2014), 1–9.

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Published In

cover image ACM Conferences
VRST '19: Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology
November 2019
498 pages
ISBN:9781450370011
DOI:10.1145/3359996
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 November 2019

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Author Tags

  1. Augmented reality
  2. indoor position estimation
  3. position-based service

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  • Abstract
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  • Refereed limited

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VRST '19
VRST '19: 25th ACM Symposium on Virtual Reality Software and Technology
November 12 - 15, 2019
NSW, Parramatta, Australia

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Overall Acceptance Rate 66 of 254 submissions, 26%

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