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Geo-spatial Information Science Volume 22, 2019 - Issue 2: Special Issue: Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)
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Articles

A regression model-based method for indoor positioning with compound location fingerprints

Tomofumi TakayamaHewlett-Packard Japan, Ltd, Tokyo, JapanORCID Iconhttp://orcid.org/0000-0002-3042-5881View further author information
ORCID Icon,
Takeshi UmezawaGraduate School of Engineering, Chiba University, Chiba, JapanCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-5972-0377View further author information
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Nobuyoshi KomuroGraduate School of Engineering, Chiba University, Chiba, JapanORCID Iconhttp://orcid.org/0000-0002-3312-454XView further author information
ORCID Icon &
Noritaka OsawaGraduate School of Engineering, Chiba University, Chiba, JapanORCID Iconhttp://orcid.org/0000-0002-7676-9911View further author information
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Pages 107-113 | Received 15 Nov 2018, Accepted 19 Mar 2019, Published online: 17 May 2019

References

  • Breiman, L. 2001. “Random Forests.” Machine Learning 45 (1): 5–32. doi:10.1023/A:1010933404324.
  • Breiman, L., A. Cutler, A. Liaw, and M. Wiener 2001. “Breiman and Cutler’s Random Forests for Classification and Regression.” Accessed 22 March 2018. https://cran.r-project.org/web/packages/randomForest/randomForest.pdf
  • Chang, Q., S. Van de Velde, W. Wang, Q. Li, H. Hou, and S. Heidi 2015. “Wi-Fi Fingerprint Positioning Updated by Pedestrian Dead Reckoning for Mobile Phone Indoor Localization.” China Satellite Navigation Conference (CSNC), Xian, China, May 13-15. doi: 10.1007/978-3-662-46632-2_63.
  • Cortes, C., and V. Vapnik. 1995. “Support-Vector Networks.” Machine Learning 20 (3): 273–297. doi:10.1007/BF00994018.
  • Jimenez, A. R., F. Seco, C. Prieto, and J. Guevara 2009. “A Comparison of Pedestrian Dead-Reckoning Algorithms Using A Low-Cost MEMS IMU.” IEEE International Symposium on Intelligent Signal Processing, Budapest, Hungary, August 26-28. doi: 10.1109/WISP.2009.5286542.
  • Kjærgaard, M. B. 2007. “A Taxonomy for Radio Location Fingerprinting.” International Symposium on Location- and Context-Awareness,Oberpfaffenhofen, Germany, September 20–21. doi: 10.1007/978-3-540-75160-1_9.
  • Liu, H., H. Darabi, P. Banerjee, and J. Liu. 2007. “Survey of Wireless Indoor Positioning Techniques and Systems.” IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37 (6): 1067–1080. doi:10.1109/TSMCC.2007.905750.
  • Liu, J., Q. Cui, X. Tao, and P. Zhang 2006. “A Method to Enhance the Accuracy of Location Systems Based on TOA-Location Algorithms.” 6th International Conference on ITS Telecommunications, Chengdu, China, June 21–23. doi: 10.1109/ITST.2006.288717.
  • Liu, Y., Z. Yang, X. Wang, and L. Jian. 2010. “Location, Localization, and Localizability.” Journal of Computer Science and Technology 25 (2): 274–297. doi:10.1007/s11390-010-9324-2.
  • Pei, L., Z. Min, D. Zou, R. Chen, and Y. Chen. 2016. “A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization.” Mobile Information Systems 2016 (3): 1–16. doi:10.1155/2016/4041291.
  • Seitz, J., J. Jahn, J. G. Boronat, T. Vaupel, S. Meyer, and J. Thielecke 2010. “A Hidden Markov Model for Urban Navigation Based on Fingerprinting and Pedestrian Dead Reckoning.” 13th Conference on Information Fusion (FUSION),Edinburgh, July 26–29. doi: 10.1109/ICIF.2010.5712025.
  • Shan, Z., and T. P. Yum 2007. “Precise Localization with Smart Antennas in Ad-Hoc Networks,” Global Telecommunications Conference (GLOBECOM), Washington, November 26–30. doi: 10.1109/GLOCOM.2007.203.
  • Takayama, T., T. Umezawa, N. Komuro, and N. Osawa 2018. “An Indoor Positioning Method Based on Regression Models with Compound Location Fingerprints“, 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS), Wuhan,Chin, March 22–23. doi: 10.1109/UPINLBS.2018.8559728.
  • Xiao, Z., H. Wen, A. Markham, N. Trigoni, P. Blunsom, and J. Frolik. 2015. “Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength.” IEEE Transactions on Wireless Communications 14 (3): 1689–1702. doi:10.1109/TWC.2014.2372341.

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