Advanced search
Publication Cover
Geo-spatial Information Science Volume 22, 2019 - Issue 2: Special Issue: Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)
Submit an article Journal homepage
2,067
Views
5
CrossRef citations to date
0
Altmetric
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
ORCID Icon,
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
ORCID Icon
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.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.