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

Kwangjae Sung; Hwangnam Kim

doi:10.1109/SECON.2012.6275846

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

Kwangjae Sung, Hwangnam Kim

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012
Pages	73-75
Number of pages	3
DOIs	https://doi.org/10.1109/SECON.2012.6275846
Publication status	Published - 2012
Event	2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012 - Seoul, Korea, Republic of Duration: 2012 Jun 18 → 2012 Jun 21

Publication series

Name	Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Volume	1
ISSN (Print)	2155-5486
ISSN (Electronic)	2155-5494

Other

Other	2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012
Country/Territory	Korea, Republic of
City	Seoul
Period	12/6/18 → 12/6/21

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/SECON.2012.6275846

Cite this

Sung, K., & Kim, H. (2012). Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments. In 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012 (pp. 73-75). [6275846] (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; Vol. 1). https://doi.org/10.1109/SECON.2012.6275846

Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments. / Sung, Kwangjae; Kim, Hwangnam.

2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012. 2012. p. 73-75 6275846 (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sung, K & Kim, H 2012, Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments. in 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012., 6275846, Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops, vol. 1, pp. 73-75, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012, Seoul, Korea, Republic of, 12/6/18. https://doi.org/10.1109/SECON.2012.6275846

Sung K, Kim H. Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments. In 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012. 2012. p. 73-75. 6275846. (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops). doi: 10.1109/SECON.2012.6275846

Sung, Kwangjae ; Kim, Hwangnam. / Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments. 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012. 2012. pp. 73-75 (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops).

@inproceedings{4b36ab11f7a441518d4a111da84646a0,

title = "Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments",

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.",

author = "Kwangjae Sung and Hwangnam Kim",

year = "2012",

doi = "10.1109/SECON.2012.6275846",

language = "English",

isbn = "9781467319058",

series = "Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops",

pages = "73--75",

booktitle = "2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012",

note = "2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012 ; Conference date: 18-06-2012 Through 21-06-2012",

}

TY - GEN

T1 - Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments

AU - Sung, Kwangjae

AU - Kim, Hwangnam

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84867964395&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867964395&partnerID=8YFLogxK

U2 - 10.1109/SECON.2012.6275846

DO - 10.1109/SECON.2012.6275846

M3 - Conference contribution

AN - SCOPUS:84867964395

SN - 9781467319058

T3 - Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops

SP - 73

EP - 75

BT - 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012

T2 - 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012

Y2 - 18 June 2012 through 21 June 2012

ER -

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

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this