Map management system for cv-SLAM

Hyukdoo Choi, Euntai Kim, Yong Woon Park, Chong Hui Kim

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

1 Citation (Scopus)

Abstract

This paper present a map management system for ceiling vision (cv)-SLAM where a map is comprised of line landmarks on the ceiling. Since the size of a map, which is the number of landmarks, is related to computational and memorial cost, it should be managed in an appropriate size. For this purpose, the binary Bayes filter is utilized to estimate the probability of existence of a landmark. We demonstrate the system in the real world experiment to prove its performance.

Original languageEnglish
Title of host publicationURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence
Pages55-57
Number of pages3
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011 - Incheon, Korea, Republic of
Duration: 2011 Nov 232011 Nov 26

Publication series

NameURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence

Other

Other2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011
CountryKorea, Republic of
CityIncheon
Period11/11/2311/11/26

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

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    Choi, H., Kim, E., Park, Y. W., & Kim, C. H. (2011). Map management system for cv-SLAM. In URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (pp. 55-57). [6145932] (URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence). https://doi.org/10.1109/URAI.2011.6145932