Cited 0 time in
단일 1차원 거리센서를 이용한 이동 로봇의 2차원 위치 추정 알고리즘
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jeon, Hyeong-Guk | - |
| dc.contributor.author | Jeong, Jin-Han | - |
| dc.contributor.author | Kim, Jin-Soo | - |
| dc.contributor.author | Yoon, Yook-Hyun | - |
| dc.contributor.author | Park, Jahng-Hyon | - |
| dc.date.accessioned | 2021-07-30T05:24:50Z | - |
| dc.date.available | 2021-07-30T05:24:50Z | - |
| dc.date.issued | 2017-10 | - |
| dc.identifier.issn | 1976-5622 | - |
| dc.identifier.issn | 2233-4335 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4761 | - |
| dc.description.abstract | This paper proposes a position estimation algorithm of mobile robots, which estimates the x and y coordinates in a 2D map using a particle filter and a single distance sensor. In addition, this paper describes a method for the indoor global localization of mobile robots by combining the proposed algorithm and Monte Carlo localization algorithm. The combination of the two algorithms can compensate for the disadvantages of the Monte Carlo localization algorithm and remarkably reduce the required time for global localization of a mobile robot. The indoor global localization method using the proposed algorithm is verified by simulation using the MATLAB Robotics System Toolbox and Gazebo simulator of ROS (Robot Operating System). Various simulations confirm that the proposed method successfully operates. | - |
| dc.format.extent | 8 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 제어·로봇·시스템학회 | - |
| dc.title | 단일 1차원 거리센서를 이용한 이동 로봇의 2차원 위치 추정 알고리즘 | - |
| dc.title.alternative | Two-dimensional position estimation algorithm of mobile robot using single-dimensional distance sensor | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.5302/J.ICROS.2017.17.0117 | - |
| dc.identifier.scopusid | 2-s2.0-85030550896 | - |
| dc.identifier.bibliographicCitation | 제어.로봇.시스템학회 논문지, v.23, no.10, pp 858 - 865 | - |
| dc.citation.title | 제어.로봇.시스템학회 논문지 | - |
| dc.citation.volume | 23 | - |
| dc.citation.number | 10 | - |
| dc.citation.startPage | 858 | - |
| dc.citation.endPage | 865 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002263692 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordPlus | Indoor positioning systems | - |
| dc.subject.keywordPlus | MATLAB | - |
| dc.subject.keywordPlus | Mobile robots | - |
| dc.subject.keywordPlus | Robots | - |
| dc.subject.keywordPlus | Distance sensors | - |
| dc.subject.keywordPlus | Global localization | - |
| dc.subject.keywordPlus | Monte Carlo localization | - |
| dc.subject.keywordPlus | Particle filter | - |
| dc.subject.keywordPlus | Position estimation | - |
| dc.subject.keywordPlus | Required time | - |
| dc.subject.keywordPlus | Robot operating system | - |
| dc.subject.keywordPlus | Robotics systems | - |
| dc.subject.keywordPlus | Monte Carlo methods | - |
| dc.subject.keywordAuthor | Distance sensor | - |
| dc.subject.keywordAuthor | Indoor global localization | - |
| dc.subject.keywordAuthor | Mobile robot | - |
| dc.subject.keywordAuthor | Monte carlo localization | - |
| dc.subject.keywordAuthor | Particle filter | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07243098&language=ko_KR&hasTopBanner=true | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
