Visual odometry technique using circular marker identification for motion parameter estimation

Savan Chhaniyara, Kaspar Althoefer, Lakmal D. Seneviratne

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

2 Scopus citations

Abstract

This paper presents a new visual odometry approach for mobile robot self-localization utilizing natural circular invariant features during motion. It is proposed that the onboard camera acquires sequences of overlapping mages and senses the distance and orientation of the vehicle with respect to identified markers. The paper uses an effective image filtering technique based on convolution that can be used to localize the natural markers in the images. The proposed approach simplifies the problem of feature localization and allows a robust estimation of the vehicle's trajectory. Initial experiments are carried out on a mobile robot and results are presented.

Original languageBritish English
Title of host publicationAdvances in Mobile Robotics - Proceedings of the 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages1069-1076
Number of pages8
ISBN (Print)9812835768, 9789812835765
DOIs
StatePublished - 2008
Event11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008 - Coimbra, Portugal
Duration: 8 Sep 200810 Sep 2008

Publication series

NameAdvances in Mobile Robotics - Proceedings of the 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008

Conference

Conference11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008
Country/TerritoryPortugal
CityCoimbra
Period8/09/0810/09/08

Keywords

  • Circular invariant features
  • Convolution
  • Visual odometry

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