Vision-Based Indoor Positioning (VBIP) - An Indoor AR Navigation System with a Virtual Tour Guide

被引：4

作者：

Tsai, Hung-Ya ^{[1
]}

Kuwahara, Yamato ^{[2
]}

Leiri, Yuya ^{[2
]}

Hishiyama, Reiko ^{[1
,2
]}

机构：

[1] OSENSE Technol Co Ltd, Taipei, Taiwan

[2] Waseda Univ, Grad Sch Creat Sci & Engn, Shinjuku Ku, 3-4-1 Okubo, Tokyo 1698555, Japan

来源：

COLLABORATION TECHNOLOGIES AND SOCIAL COMPUTING (CRIWG+COLLABTECH 2019) | 2019年 / 11677卷

关键词：

Indoor navigation; Computer vision; Augmented Reality;

D O I：

10.1007/978-3-030-28011-6_7

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 350m 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 350m tracking. For the experiment result, we believe that VBIP is one step closer to perfection.

引用

页码：96 / 109

页数：14

共 14 条

[1]

[Anonymous], 2013, P INT C IND POS IND

[2]

Bekkali A, 2007, IEEE CONF WIREL MOB

[3] Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback [J].