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Georeferencing in GNSS-challenged environment: Integrating UWB and IMU technologies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312348" target="_blank" >RIV/68407700:21230/17:00312348 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/175/2017/" target="_blank" >https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/175/2017/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/isprs-archives-XLII-1-W1-175-2017" target="_blank" >10.5194/isprs-archives-XLII-1-W1-175-2017</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Georeferencing in GNSS-challenged environment: Integrating UWB and IMU technologies

  • Original language description

    Acquiring geospatial data in GNSS compromised environments remains a problem in mapping and positioning in general. Urban canyons, heavily vegetated areas, indoor environments represent different levels of GNSS signal availability from weak to no signal reception. Even outdoors, with multiple GNSS systems, with an ever-increasing number of satellites, there are many situations with limited or no access to GNSS signals. Independent navigation sensors, such as IMU can provide high-data rate information but their initial accuracy degrades quickly, as the measurement data drift over time unless positioning fixes are provided from another source. At The Ohio State University's Satellite Positioning and Inertial Navigation (SPIN) Laboratory, as one feasible solution, UltraWideband (UWB) radio units are used to aid positioning and navigating in GNSS compromised environments, including indoor and outdoor scenarios. Here we report about experiences obtained with georeferencing a pushcart based sensor system under canopied areas. The positioning system is based on UWB and IMU sensor integration, and provides sensor platform orientation for an electromagnetic inference (EMI) sensor. Performance evaluation results are provided for various test scenarios, confirming acceptable results for applications where high accuracy is not required.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

  • ISBN

  • ISSN

    2194-9034

  • e-ISSN

    2194-9034

  • Number of pages

    6

  • Pages from-to

    175-180

  • Publisher name

    ISPRS

  • Place of publication

    Munich

  • Event location

    Hannover

  • Event date

    Jun 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article