Space recognition in multi-floor building environment

Susang Park, Sungbae Cho, Youngouk Kim

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

Abstract

Space recognition is one of the essential techniques for service robot. The purpose of this paper is finding out where the floor is collect in similar structural multi-floor building environment. We propose space recognition which is dividing spaces to similar space group and distinct space group and give different weight to each group and calculate state probability. Because our algorithm contains prestate probability, it is robust for temporary recognition error. In order to evaluate our proposed method, we compared a method which is not applied weighted space recognition and a method which is applied weighted space method. The experiment result shows that our method is suitable for service robot in multi-floor building environment

Original languageEnglish
Title of host publication2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
Pages439-441
Number of pages3
DOIs
Publication statusPublished - 2012
Event2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012 - Daejeon, Korea, Republic of
Duration: 2012 Nov 262012 Nov 29

Publication series

Name2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012

Other

Other2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
CountryKorea, Republic of
CityDaejeon
Period12/11/2612/11/29

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction

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