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

Other

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

Fingerprint

Ceilings
Costs
Experiments

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

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] https://doi.org/10.1109/URAI.2011.6145932
Choi, Hyukdoo ; Kim, Euntai ; Park, Yong Woon ; Kim, Chong Hui. / Map management system for cv-SLAM. URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence. 2011. pp. 55-57
@inproceedings{7289b511a3f24797bb1885e51b4b58a1,
title = "Map management system for cv-SLAM",
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.",
author = "Hyukdoo Choi and Euntai Kim and Park, {Yong Woon} and Kim, {Chong Hui}",
year = "2011",
month = "12",
day = "1",
doi = "10.1109/URAI.2011.6145932",
language = "English",
isbn = "9781457707223",
pages = "55--57",
booktitle = "URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence",

}

Choi, H, Kim, E, Park, YW & Kim, CH 2011, Map management system for cv-SLAM. in URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence., 6145932, pp. 55-57, 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011, Incheon, Korea, Republic of, 11/11/23. https://doi.org/10.1109/URAI.2011.6145932

Map management system for cv-SLAM. / Choi, Hyukdoo; Kim, Euntai; Park, Yong Woon; Kim, Chong Hui.

URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence. 2011. p. 55-57 6145932.

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

TY - GEN

T1 - Map management system for cv-SLAM

AU - Choi, Hyukdoo

AU - Kim, Euntai

AU - Park, Yong Woon

AU - Kim, Chong Hui

PY - 2011/12/1

Y1 - 2011/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84863125241&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863125241&partnerID=8YFLogxK

U2 - 10.1109/URAI.2011.6145932

DO - 10.1109/URAI.2011.6145932

M3 - Conference contribution

AN - SCOPUS:84863125241

SN - 9781457707223

SP - 55

EP - 57

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

ER -

Choi H, Kim E, Park YW, Kim CH. Map management system for cv-SLAM. In URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence. 2011. p. 55-57. 6145932 https://doi.org/10.1109/URAI.2011.6145932