Vehicular localization enhancement via consensus

Hong Ki Kim, Minji Kim, Sang Hyun Lee

Research output: Contribution to journalLetterpeer-review

1 Citation (Scopus)

Abstract

This paper presents a strategy to cooperatively enhance the vehicular localization in vehicle-to-everything (V2X) networks by exchanges and updates of local data in a consensus-based manner. Where each vehicle in the network can obtain its location estimate despite its possible inaccuracy, the proposed strategy takes advantage of the abundance of the local estimates to improve the overall accuracy. During the execution of the strategy, vehicles exchange each other’s inter-vehicular relationship pertaining to measured distances and angles in order to update their own estimates. The iteration of the update rules leads to averaging out the measurement errors within the network, resulting in all vehicles’ localization error to retain similar magnitudes and orientations with respect to the ground truth locations. Furthermore, the estimate error of the anchor—the vehicle with the most reliable localization performance—is temporarily aggravated through the iteration. Such circumstances are exploited to simultaneously counteract the estimate errors and effectively improve the localization performance. Simulated experiments are conducted in order to observe the nature and its effects of the operations. The outcomes of the experiments and analysis of the protocol suggest that the presented technique successfully enhances the localization performances, while making additional insights regarding performance according to environmental changes and different implementation techniques.

Original languageEnglish
Article number6506
Pages (from-to)1-16
Number of pages16
JournalSensors (Switzerland)
Volume20
Issue number22
DOIs
Publication statusPublished - 2020 Nov 2

Bibliographical note

Funding Information:
Funding: This work was supported in part by a Korea University Grant, in part by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT). (No. 2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5G-V2X (vehicle-to-everything) Services.), and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C1084855).

Funding Information:
This work was supported in part by a Korea University Grant, in part by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT). (No. 2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5G-V2X (vehicle-to-everything) Services.), and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C1084855).

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Autonomous vehicular networks
  • Consensus algorithm
  • Cooperative localization
  • Vehicle-to-everything (V2X)

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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