Experiment of a low cost computation particle filter for localization of an electric wheelchair

Ananta Adhi Wardana, Augie Widyotriatmo, Supri Janto, Endang Juliastuti

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

Abstract

In this paper, an experiment of a novel particle filter for localization of an electric wheelchair is presented. The particle filter algorithm is modified in the sense of using a minimum number of particles, thus a low cost computation particle filter isperformed. The prediction is calculated based upon the dead reckoning methods; the estimation is performed using the vision system which provides position and orientation measurements in the global coordinate. Only a small number of particles are used in the prediction step. The experimental results in the electric wheelchair show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems, ROBIONETICS 2013
Pages155-159
Number of pages5
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems, ROBIONETICS 2013 - Yogyakarta, Indonesia
Duration: 25 Nov 201327 Nov 2013

Publication series

NameProceedings of 2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems, ROBIONETICS 2013

Conference

Conference2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems, ROBIONETICS 2013
Country/TerritoryIndonesia
CityYogyakarta
Period25/11/1327/11/13

Keywords

  • dead reckoning
  • electric wheelchair
  • estimation
  • experiment
  • particle filter
  • prediction
  • vision-based localization

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