EKF localization with lateral distance information for mobile robots in urban environments

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

3 Scopus citations

Abstract

This paper proposes the EKF localization with lateral distance information for the mobile robots in urban environments. The mobile robot is assumed to be operated at common roads where the lane marker exists. The lateral distance information given by the lane marker detector is used to compensate the measurement of global positioning system (GPS) before the EKF update step. In addition, the proposed method also uses Mahalanobis distance approach to validate the sensors measurements. The GPS compensation and Mahalanobis distance validation effectively reduce the sensors error, in particular drift error and jumping position of GPS. As a result, the accuracy of the estimated position is better than normal EKF localization.

Original languageEnglish
Title of host publicationURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence
Pages281-286
Number of pages6
DOIs
StatePublished - 2011
Event2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011 - Incheon, Korea, Republic of
Duration: 23 Nov 201126 Nov 2011

Publication series

NameURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence

Conference

Conference2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011
Country/TerritoryKorea, Republic of
CityIncheon
Period23/11/1126/11/11

Keywords

  • EKF Localization
  • Lane Marker
  • Mahalanobis Distance

Fingerprint

Dive into the research topics of 'EKF localization with lateral distance information for mobile robots in urban environments'. Together they form a unique fingerprint.

Cite this