Outdoor localization through GPS data and matching of lane markers for a mobile robot

Yong Hoon Ji, Ji Hun Bae, Jae Bok Song, Jae Kwan Ryu, Joo Hyun Baek

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Accurate localization is very important to stable navigation of a mobile robot. This paper deals with local localization of a mobile robot especially for outdoor environments. The GPS information is the easiest way to obtain the outdoor position information. However, the GPS accuracy can be severely affected by environmental conditions. To deal with this problem, the GPS and wheel odometry can be combined using an EKF (Extended Kalman Filter). However, this is not enough for safe navigation of a mobile robot in outdoor environments. This paper proposes a novel method using lane features from the road image. The pose data of a mobile robot can be corrected by analyzing the detected lane features. This can improve the accuracy of the localization process substantially.

Original languageEnglish
Pages (from-to)594-600
Number of pages7
JournalJournal of Institute of Control, Robotics and Systems
Volume18
Issue number6
DOIs
Publication statusPublished - 2012

Keywords

  • EKF (Extended Kalman Filter)
  • GPS
  • Lane
  • Localization
  • Outdoor navigation

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Applied Mathematics

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