• DocumentCode
    730638
  • Title

    Bayesian path estimation using the spatial attributes of a road network

  • Author

    Morelande, Mark ; Duckham, Matt ; Kealy, Allison ; Legg, Jonathan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkville, VIC, Australia
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    4090
  • Lastpage
    4094
  • Abstract
    We consider the problem of estimating the path taken by an object in a road network from sparse, noisy position measurements. Path estimation is posed in a Bayesian framework which allows the incorporation of prior information about vehicle movements. A carefully designed importance sampler is used to approximate the posterior path probabilities. The algorithm is demonstrated on simulated data.
  • Keywords
    belief networks; probability; Bayesian path estimation framework; posterior path probabilities; road network; spatial attributes; vehicle movements; Navigation; Roads; Bayesian estimation; Monte Carlo approximation; path estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178740
  • Filename
    7178740
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=730638