Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide

Hung Ya Tsai, Yamato Kuwahara, Yuya leiri, Reiko Hishiyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we describe the structure of a Vision-Based Indoor Positioning (VBIP) system which is a pure software solution without any hardware deployment. We conducted an experiment by providing our VBIP system to navigate visitors through three different buildings with a total length over 350 m during Science and Technology Festival 2018 at Waseda University. This large scale experiment pointed out our incomprehensive thinking while designing the algorithm only based on human behavior, and motivated us to remodify our algorithm based on natural features in the environment. We further conducted another experiment and found out that our VBIP system is improved. VBIP system can now reduce the drift error of VIO (Visual Inertial Odometry) to around 1.4% for over 350 m tracking. For the experiment result, we believe that VBIP is one step closer to perfection.

Original languageEnglish
Title of host publicationCollaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings
EditorsHideyuki Nakanishi, Hironori Egi, Irene-Angelica Chounta, Hideyuki Takada, Satoshi Ichimura, Ulrich Hoppe
PublisherSpringer-Verlag
Pages96-109
Number of pages14
ISBN (Print)9783030280109
DOIs
Publication statusPublished - 2019 Jan 1
Event25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019 - Kyoto, Japan
Duration: 2019 Sep 42019 Sep 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11677 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019
CountryJapan
CityKyoto
Period19/9/419/9/6

Keywords

  • Augmented Reality
  • Computer vision
  • Indoor navigation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tsai, H. Y., Kuwahara, Y., leiri, Y., & Hishiyama, R. (2019). Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide. In H. Nakanishi, H. Egi, I-A. Chounta, H. Takada, S. Ichimura, & U. Hoppe (Eds.), Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings (pp. 96-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11677 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-28011-6_7