DC Field | Value | Language |
---|---|---|
dc.contributor.author | 전진우 | ko |
dc.contributor.author | 임현준 | ko |
dc.contributor.author | 명현 | ko |
dc.date.accessioned | 2022-11-23T03:00:11Z | - |
dc.date.available | 2022-11-23T03:00:11Z | - |
dc.date.created | 2022-11-21 | - |
dc.date.issued | 2022-11-10 | - |
dc.identifier.citation | 2022 한국군사과학기술학회 추계학술대회 | - |
dc.identifier.uri | http://hdl.handle.net/10203/300578 | - |
dc.description.abstract | This paper proposes a 3D relative position estimation method for swarm robots through feature-based visual SLAM. Dynamic features are detected and utilized to represent a moving robot. Then, the relative 3D position of the robot is estimated from the depth of the estimated dynamic feature. The proposed algorithm operates in real-time and can be used in various applications. | - |
dc.language | Korean | - |
dc.publisher | 한국군사기술학회 | - |
dc.title | 시각 SLAM 에서의 동적 특징점 검출을 통한 군집 로봇 내의 상대 위치 추정 | - |
dc.title.alternative | Utilizing dynamic features for relative pose estimation of swarm robots in visual SLAM | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2022 한국군사과학기술학회 추계학술대회 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 대전컨벤션센터 | - |
dc.contributor.localauthor | 명현 | - |
dc.contributor.nonIdAuthor | 전진우 | - |
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