Evolutionary recognition of corridor and branch using adaptive model with layered structure

H. Liu, J. C. Yuan, F. Gao, Y. Mae, M. Minami

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

Abstract

A new method to recognize corridors for autonomous mobile robot is described. The method, based on the both genetic-algorithm and adaptive matching of surface-strip model length, detects the edge markers of a corridor. To recognize the branch of corridor, the surface-strip model with layered structure is proposed. The experimental results show the method is effective for real-time recognition of corridor and its branch.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
Pages195-200
Number of pages6
DOIs
Publication statusPublished - Dec 1 2006
Externally publishedYes
Event3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005 - Fukui, Japan
Duration: Sep 20 2005Sep 22 2005

Publication series

NameProceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005

Other

Other3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
CountryJapan
CityFukui
Period9/20/059/22/05

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Education

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  • Cite this

    Liu, H., Yuan, J. C., Gao, F., Mae, Y., & Minami, M. (2006). Evolutionary recognition of corridor and branch using adaptive model with layered structure. In Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005 (pp. 195-200). (Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005). https://doi.org/10.1007/3-540-29344-2_29