@inproceedings{3dc3b96b521d4a14b4ae0ba10d47ce6c,
title = "Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide",
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.",
keywords = "Augmented Reality, Computer vision, Indoor navigation",
author = "Tsai, {Hung Ya} and Yamato Kuwahara and Yuya leiri and Reiko Hishiyama",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019 ; Conference date: 04-09-2019 Through 06-09-2019",
year = "2019",
doi = "10.1007/978-3-030-28011-6_7",
language = "English",
isbn = "9783030280109",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "96--109",
editor = "Hideyuki Nakanishi and Hironori Egi and Irene-Angelica Chounta and Hideyuki Takada and Satoshi Ichimura and Ulrich Hoppe",
booktitle = "Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings",
}