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Self localization method for mobile sensor in navigation applications

  • Yuntai Kyong
  • , Shung Han Cho
  • , Sangjin Hong
  • , Peom Park
  • , We Duke Cho
  • IEEE
  • Stony Brook University
  • Ajou University

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

Abstract

This paper presents a novel self localization method using parallel projection model for mobile sensor in navigation applications. The algorithm estimates the coordinate and the orientation of mobile sensor using projected references on visual image. The proposed method considers non-linearity of the lens' view distortion and compensate the distortion using a calibration table. The method determines the coordinates and orientations with iterative process, which is very accurate with low computational demand. We identify various sources of error on the coordinate and orientation estimations, and present both static sensitivity analysis of the algorithm and dynamic behavior of the mobile sensor. The algorithm can be utilized in mobile robot navigation as well as positioning application where accurate self localization is necessary.

Original languageEnglish
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
PublisherIEEE Computer Society
Pages1643-1647
Number of pages5
ISBN (Print)9781424421107
DOIs
StatePublished - 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC 2007 - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers

Conference

Conference41st Asilomar Conference on Signals, Systems and Computers, ACSSC 2007
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

Keywords

  • Localization
  • Mobile sensors
  • Parallel projection model
  • Visual processing

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