Sensor integration of 3D map aided GNSS and smartphone PDR in urban canyon with dense foliage

Li Ta Hsu, Yanlei Gu, Shunsuke Kamijo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)

Abstract

Pedestrian localization service is required in deep urban canyons. Many studies demonstrated the potentials of 3D building model to GNSS positioning, especially in city center areas. However, many narrow building canyon also contains dense foliage of street trees. This foliage not only strongly attenuates but also blocks the line-of-sight (LOS) visible GNSS signals. The number of the trackable satellites is hence greatly decreased to less than 4, which GPS receiver cannot provide positioning result. Even through the commercial GNSS receiver implemented strong filtering technique to provide the positioning solutions during the signal blockage, the results are usually erroneous. This research proposes to integrate a 3D map aided GNSS (3D-GNSS) with a smartphone-based pedestrian dead reckoning (PDR) to provide localization service in urban area with dense foliage.

Original languageEnglish
Title of host publicationProceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-90
Number of pages6
ISBN (Electronic)9781509020423
DOIs
Publication statusPublished - 26 May 2016
Externally publishedYes
EventIEEE/ION Position, Location and Navigation Symposium, PLANS 2016 - Savannah, Georgia
Duration: 11 Apr 201614 Apr 2016

Publication series

NameProceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016

Conference

ConferenceIEEE/ION Position, Location and Navigation Symposium, PLANS 2016
Country/TerritoryGeorgia
CitySavannah
Period11/04/1614/04/16

Keywords

  • 3D maps
  • Dead Reckoning
  • Foliage
  • Global Positioning System
  • Multipath
  • Pedestrian
  • Smartphone
  • Urban Canyon

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Instrumentation

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