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A vehicular positioning enhancement with connected vehicle assistance

  • Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies
  • University of British Columbia
  • Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2015 IEEE 82nd Vehicular Technology Conference, VTC2015-Fall, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980918
DOIs
StatePublished - 2015
Event82nd IEEE Vehicular Technology Conference, VTC 2015-Fall - Boston, United States
Duration: 6 Sep 2015 → 9 Sep 2015

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1090-3038

Conference

Conference82nd IEEE Vehicular Technology Conference, VTC 2015-Fall
Country/TerritoryUnited States
CityBoston
Period6/09/15 → 9/09/15

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