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

H. Liu, J. C. Yuan, F. Gao, Y. Mae, Mamoru 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 - 2006
Externally publishedYes
Event3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005 - Fukui, Japan
Duration: Sep 20 2005Sep 22 2005

Other

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

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Education

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) https://doi.org/10.1007/3-540-29344-2_29