Evolutionary recognition of marker using adaptive model-based matching

Goa Feng, Li Yan, Zhu Hongying, Minami Mamoru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to ensure recognizing automatically and traveling stably for a mobile robot traveling along corridor and to confirm its capability in intelligence, the research presents a corridor recognition method using genetic algorithm with the adaptive model length based on the surface-strips model. The feasibility and stability of the proposed real-time detection method for the corridor's markers with high robustness against the noises such as lighting condition varieties and obstacles are discussed. The robustness of the method against environmental noises and the effectiveness of the method for real-time recognition with the adaptive model have been verified using real corridor images.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 - Conference Proceedings
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 - Chengdu, China
Duration: Apr 21 2008Apr 24 2008

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Other

Other2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008
CountryChina
CityChengdu
Period4/21/084/24/08

Keywords

  • Corridor's recognition
  • Genetic algorithm
  • Surface-strip model

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Evolutionary recognition of marker using adaptive model-based matching'. Together they form a unique fingerprint.

Cite this