Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments

Kwangjae Sung, Hwangnam Kim

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

2 Citations (Scopus)

Abstract

A Bayesian navigation system is designed to enhance the performance of the position estimate for a pedestrian in urban canyon environments using particle filtering and digital compass on Smartphone. The particle filtering is used to correct the inaccurate GPS positioning data (position and direction) caused by the strong multipath in the urban areas. The digital compass readings are employed to correct the directional measurements of the positioning information estimated by the particle filtering, but they need to be calibrated with another particle filtering and GPS since they are subject to cumulative errors. In this demo, we demonstrate a real implementation of the proposed Bayesian navigation system on the iPhone 4S. The demo shows the enhanced performance of the new navigation scheme compared to using only GPS signals.

Original languageEnglish
Title of host publication2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012
Pages73-75
Number of pages3
DOIs
Publication statusPublished - 2012
Event2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012 - Seoul, Korea, Republic of
Duration: 2012 Jun 182012 Jun 21

Publication series

NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Volume1
ISSN (Print)2155-5486
ISSN (Electronic)2155-5494

Other

Other2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012
CountryKorea, Republic of
CitySeoul
Period12/6/1812/6/21

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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