Pose-graph based indoor navigation test for unmanned underwater vehicle navigation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이영준 | - |
dc.contributor.author | 정종대 | - |
dc.contributor.author | 최현택 | - |
dc.date.accessioned | 2021-12-08T08:40:55Z | - |
dc.date.available | 2021-12-08T08:40:55Z | - |
dc.date.issued | 20191104 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/2556 | - |
dc.description.abstract | This paper presents a preliminary experimental result of testing pose-graph based indoor navigation for the purpose of application to unmanned underwater vehicles (UUV). To verify the usefulness and to estimate the performance of the pose-graph technique, we conduct an indoor test using a ground robot kobuki [1]. In this experiment, the robot travels indoor at an office and at a corridor. This allows creating a pose-graph of robot path continuously and building a map using a light detection and ranging (LIDAR) sensor at the front of the robot, simultaneously. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Pose-graph based indoor navigation test for unmanned underwater vehicle navigation | - |
dc.title.alternative | Pose-graph based indoor navigation test for unmanned underwater vehicle navigation | - |
dc.type | Conference | - |
dc.citation.title | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 879 | - |
dc.citation.endPage | 879 | - |
dc.citation.conferenceName | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems | - |
dc.citation.conferencePlace | 중국 | - |
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