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

Autor: Yamato Kuwahara, Yuya leiri, Reiko Hishiyama, Hung Ya Tsai
Rok vydání: 2019
Předmět:
Zdroj: Collaboration Technologies and Social Computing ISBN: 9783030280109
CRIWG/CollabTech
DOI: 10.1007/978-3-030-28011-6_7
Popis: 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.
Databáze: OpenAIRE