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Advanced real-time indoor tracking based on the Viterbi algorithm and semantic data

Jens Trogh UGent, David Plets UGent, Luc Martens UGent and Wout Joseph UGent (2015) INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS.
abstract
A real-time indoor tracking system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy, that is, the environment of the object that is being tracked and a motion model. The starting point is a fingerprinting technique for which an advanced network planner is used to automatically construct the radio map, avoiding a time consuming measurement campaign. The developed algorithm was verified with simulations and with experiments in a building-wide testbed for sensor experiments, where a median accuracy below 2 m was obtained. Compared to a reference algorithm without Viterbi or semantic data, the results indicated a significant improvement: the mean accuracy and standard deviation improved by, respectively, 26.1% and 65.3%. Thereafter a sensitivity analysis was conducted to estimate the influence of node density, grid size, memory usage, and semantic data on the performance.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
LOCALIZATION, NETWORKS
journal title
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Int. J. Distrib. Sens. Netw.
article number
271818
pages
11 pages
publisher
HINDAWI PUBLISHING CORP
place of publication
NEW YORK
Web of Science type
Article
Web of Science id
000363579300001
JCR category
TELECOMMUNICATIONS
JCR impact factor
0.906 (2015)
JCR rank
51/82 (2015)
JCR quartile
3 (2015)
ISSN
1550-1329
DOI
10.1155/2015/271818
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7092074
handle
http://hdl.handle.net/1854/LU-7092074
date created
2016-02-19 10:06:28
date last changed
2017-01-02 09:55:13
@article{7092074,
  abstract     = {A real-time indoor tracking system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy, that is, the environment of the object that is being tracked and a motion model. The starting point is a fingerprinting technique for which an advanced network planner is used to automatically construct the radio map, avoiding a time consuming measurement campaign. The developed algorithm was verified with simulations and with experiments in a building-wide testbed for sensor experiments, where a median accuracy below 2 m was obtained. Compared to a reference algorithm without Viterbi or semantic data, the results indicated a significant improvement: the mean accuracy and standard deviation improved by, respectively, 26.1\% and 65.3\%. Thereafter a sensitivity analysis was conducted to estimate the influence of node density, grid size, memory usage, and semantic data on the performance.},
  articleno    = {271818},
  author       = {Trogh, Jens and Plets, David and Martens, Luc and Joseph, Wout},
  issn         = {1550-1329},
  journal      = {INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS},
  keyword      = {LOCALIZATION,NETWORKS},
  language     = {eng},
  pages        = {11},
  publisher    = {HINDAWI PUBLISHING CORP},
  title        = {Advanced real-time indoor tracking based on the Viterbi algorithm and semantic data},
  url          = {http://dx.doi.org/10.1155/2015/271818},
  year         = {2015},
}

Chicago
Trogh, Jens, David Plets, Luc Martens, and Wout Joseph. 2015. “Advanced Real-time Indoor Tracking Based on the Viterbi Algorithm and Semantic Data.” International Journal of Distributed Sensor Networks.
APA
Trogh, J., Plets, D., Martens, L., & Joseph, W. (2015). Advanced real-time indoor tracking based on the Viterbi algorithm and semantic data. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS.
Vancouver
1.
Trogh J, Plets D, Martens L, Joseph W. Advanced real-time indoor tracking based on the Viterbi algorithm and semantic data. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS. NEW YORK: HINDAWI PUBLISHING CORP; 2015;
MLA
Trogh, Jens, David Plets, Luc Martens, et al. “Advanced Real-time Indoor Tracking Based on the Viterbi Algorithm and Semantic Data.” INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2015): n. pag. Print.