Effect of EKF Localization on Path Tracking in Autonomous Vehicle Navigation Systems

  • Eun Ho Cho
  • , Seung Geon Yang
  • , Girim Kwon
  • , Seung Chan Lim

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

Abstract

This paper presents an integrated approach to evalu-ating the interplay between localization and path-tracking performances in autonomous vehicle navigation systems. Considering stochastic uncertainties in motion and measurement models, we design an extended Kalman filter (EKF) for localization and employ the pure pursuit method for steering control. We analyze how localization accuracy impacts path-tracking performance through extensive simulations, varying the number of landmarks and noise covariance settings. Our results highlight the critical role of accurate localization in improving path tracking, offering valuable insights for designing robust autonomous navigation systems.

Original languageEnglish
Title of host publication2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331510756
DOIs
StatePublished - 2025
Event2025 International Conference on Electronics, Information, and Communication, ICEIC 2025 - Osaka, Japan
Duration: 19 Jan 202522 Jan 2025

Publication series

Name2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

Conference

Conference2025 International Conference on Electronics, Information, and Communication, ICEIC 2025
Country/TerritoryJapan
CityOsaka
Period19/01/2522/01/25

Keywords

  • Autonomous vehicle
  • extended Kalman filtering
  • localization
  • path tracking
  • pure pursuit

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