A visual localization method for mobile robot based on background subtraction and optical flow tracking

Shuai Li, Yajin Zhou, Max Q.H. Meng, Huawei Liang, Yangming Li, Zhuhong You, Wanming Chen, Xiao Liu, Kai Jiang, Qinglei Guo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, a newly vision-based localization method for mobile robots is presented. The cost of hardware for this localization system is very low. Based on background subtraction and optical flow tracking, the presented method overcomes the shortcoming of general background subtracting method--- being sensitive to noises and interferences of other mobile objects. Besides, the presented method is enough robust to find the new optical flow point after it is lost. Experiments reveal that this presented method is effective and is able to meet needs of localization for mobile robots.
Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages3870-3874
Number of pages5
DOIs
Publication statusPublished - 25 Sep 2008
Externally publishedYes
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
CountryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Background subtraction
  • Localization
  • Mobile robot
  • Optical flow

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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