• DocumentCode
    2150559
  • Title

    Hidden Markov model based graph matching for calibration of localization maps

  • Author

    Shahidi, Shervin ; Valaee, Shahrokh

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Toronto, Canada
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    4606
  • Lastpage
    4611
  • Abstract
    We investigate the problem of graph matching to translate topological indoor localization to geographical localization, by modeling the building map and the semantic maps as graphs. A matching algorithm based on hidden Markov models is proposed. The matching algorithm is tested on both simulations and real data and accuracies as high as 94% on real data is achieved, while the matching is shown to be robust to noise, scale variance and partial matching via simulations.
  • Keywords
    Accuracy; Buildings; Hidden Markov models; Noise; Robustness; Semantics; Signal processing algorithms; Graph matching; HMM; Indoor Localization; Indoor Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249049
  • Filename
    7249049
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2150559