Dynamic WIFI-Based Indoor Positioning in 3D Virtual World

A web-based system based on the 3DTown project was proposed using Google Earth plug-in that brings information from indoor positioning devices and real-time sensors into an integrated 3D indoor and outdoor virtual world to visualize the dynamics of urban life within the 3D context of a city. We addr...

Full description

Bibliographic Details
Main Authors: S. Chan, G. Sohn, L. Wang, W. Lee
Format: Article
Language:English
Published: Copernicus Publications 2013-11-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W4/1/2013/isprsarchives-XL-4-W4-1-2013.pdf
id doaj-18f3de2c90e7437da35bc7eae4ca90c1
record_format Article
spelling doaj-18f3de2c90e7437da35bc7eae4ca90c12020-11-25T00:06:34ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-11-01XL-4/W41610.5194/isprsarchives-XL-4-W4-1-2013Dynamic WIFI-Based Indoor Positioning in 3D Virtual WorldS. Chan0G. Sohn1L. Wang2W. Lee3GeoICT Lab, York University, Toronto, CanadaGeoICT Lab, York University, Toronto, CanadaGeoICT Lab, York University, Toronto, CanadaKICT, SOC Research Institute, Goyang-Si, Republic of KoreaA web-based system based on the 3DTown project was proposed using Google Earth plug-in that brings information from indoor positioning devices and real-time sensors into an integrated 3D indoor and outdoor virtual world to visualize the dynamics of urban life within the 3D context of a city. We addressed limitation of the 3DTown project with particular emphasis on video surveillance camera used for indoor tracking purposes. The proposed solution was to utilize wireless local area network (WLAN) WiFi as a replacement technology for localizing objects of interest due to the wide spread availability and large coverage area of WiFi in indoor building spaces. Indoor positioning was performed using WiFi without modifying existing building infrastructure or introducing additional access points (AP)s. A hybrid probabilistic approach was used for indoor positioning based on previously recorded WiFi fingerprint database in the Petrie Science and Engineering building at York University. In addition, we have developed a 3D building modeling module that allows for efficient reconstruction of outdoor building models to be integrated with indoor building models; a sensor module for receiving, distributing, and visualizing real-time sensor data; and a web-based visualization module for users to explore the dynamic urban life in a virtual world. In order to solve the problems in the implementation of the proposed system, we introduce approaches for integration of indoor building models with indoor positioning data, as well as real-time sensor information and visualization on the web-based system. In this paper we report the preliminary results of our prototype system, demonstrating the system's capability for implementing a dynamic 3D indoor and outdoor virtual world that is composed of discrete modules connected through pre-determined communication protocols.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W4/1/2013/isprsarchives-XL-4-W4-1-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Chan
G. Sohn
L. Wang
W. Lee
spellingShingle S. Chan
G. Sohn
L. Wang
W. Lee
Dynamic WIFI-Based Indoor Positioning in 3D Virtual World
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet S. Chan
G. Sohn
L. Wang
W. Lee
author_sort S. Chan
title Dynamic WIFI-Based Indoor Positioning in 3D Virtual World
title_short Dynamic WIFI-Based Indoor Positioning in 3D Virtual World
title_full Dynamic WIFI-Based Indoor Positioning in 3D Virtual World
title_fullStr Dynamic WIFI-Based Indoor Positioning in 3D Virtual World
title_full_unstemmed Dynamic WIFI-Based Indoor Positioning in 3D Virtual World
title_sort dynamic wifi-based indoor positioning in 3d virtual world
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2013-11-01
description A web-based system based on the 3DTown project was proposed using Google Earth plug-in that brings information from indoor positioning devices and real-time sensors into an integrated 3D indoor and outdoor virtual world to visualize the dynamics of urban life within the 3D context of a city. We addressed limitation of the 3DTown project with particular emphasis on video surveillance camera used for indoor tracking purposes. The proposed solution was to utilize wireless local area network (WLAN) WiFi as a replacement technology for localizing objects of interest due to the wide spread availability and large coverage area of WiFi in indoor building spaces. Indoor positioning was performed using WiFi without modifying existing building infrastructure or introducing additional access points (AP)s. A hybrid probabilistic approach was used for indoor positioning based on previously recorded WiFi fingerprint database in the Petrie Science and Engineering building at York University. In addition, we have developed a 3D building modeling module that allows for efficient reconstruction of outdoor building models to be integrated with indoor building models; a sensor module for receiving, distributing, and visualizing real-time sensor data; and a web-based visualization module for users to explore the dynamic urban life in a virtual world. In order to solve the problems in the implementation of the proposed system, we introduce approaches for integration of indoor building models with indoor positioning data, as well as real-time sensor information and visualization on the web-based system. In this paper we report the preliminary results of our prototype system, demonstrating the system's capability for implementing a dynamic 3D indoor and outdoor virtual world that is composed of discrete modules connected through pre-determined communication protocols.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W4/1/2013/isprsarchives-XL-4-W4-1-2013.pdf
work_keys_str_mv AT schan dynamicwifibasedindoorpositioningin3dvirtualworld
AT gsohn dynamicwifibasedindoorpositioningin3dvirtualworld
AT lwang dynamicwifibasedindoorpositioningin3dvirtualworld
AT wlee dynamicwifibasedindoorpositioningin3dvirtualworld
_version_ 1725421441232404480