Pedestrian Localization in Moving Platforms Using Dead Reckoning, Particle Filtering and Map Matching

Jayaprasad Bojja, Jussi Collin, Simo Särkkä, Jarmo Takala

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    7 Citations (Scopus)
    109 Downloads (Pure)

    Abstract

    Localization in global navigation satellite system denied environments using inertial sensors alone, or radio sensors alone or a combination of both are the currently active research topics. The current research works are primarily focused on static environments with earth fixed coordinate frames, having nonmoving maps. In this research work, we use micro electromechanical sensors based inertial sensors, band pass filtering, particle filtering, maps and map matching techniques for pedestrian localization with respect to on ground moving platforms such as train or bus. Since these platforms are moving, the maps of such platforms are moving maps with respect to earth centered, earth fixed coordinate frames. The techniques of this research work could further be extended and adapted to other moving platforms such as airplanes, boats and submarines.
    Original languageEnglish
    Title of host publicationProceedings of IEEE International Conference on Acoustics Speech and Signal Processessing
    PublisherIEEE
    Pages1116-1120
    ISBN (Print)9781467369978
    DOIs
    Publication statusPublished - 2015
    Publication typeA4 Article in conference proceedings
    EventIEEE International Conference on Acoustics, Speech and Signal Processing -
    Duration: 1 Jan 19001 Jan 2000

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing
    Period1/01/001/01/00

    Publication forum classification

    • Publication forum level 1

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