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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)
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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.
Keywords
LOCALIZATION, NETWORKS

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Citation

Please use this url to cite or link to this publication:

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.
@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},
}

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