DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최준호 | ko |
dc.contributor.author | 정명우 | ko |
dc.contributor.author | 명현 | ko |
dc.date.accessioned | 2023-03-22T07:01:35Z | - |
dc.date.available | 2023-03-22T07:01:35Z | - |
dc.date.created | 2023-03-20 | - |
dc.date.issued | 2023-02-15 | - |
dc.identifier.citation | 제 18회 한국로봇종합학술대회 (KRoC 2023) | - |
dc.identifier.uri | http://hdl.handle.net/10203/305746 | - |
dc.description.abstract | In order to implement the tasks on the various environments such as unknown or dangerous environments, unmanned aerial vehicles (UAVs) are being researched. However, for a single UAV, the tasks are restricted owing to the low payload and short flight time. With the aim of overcoming the limitation of a single UAV, the multi-UAV system is being researched. Meanwhile, to utilize the multi-UAV system efficiently, it is important to estimate the relative position of each UAV. Without the global navigation satellite system (GNSS), the vision-based relative position estimation methods such as image matching are widely used. However, sharing the vision data is unsuitable for the multi-UAV system because of its high communication bandwidth load. In this study, we propose a novel ultra-wideband (UWB) and odometry fusion method that shares odometry and range data which have significantly smaller size compared with the image data to estimate the relative position between the UAVs. | - |
dc.language | Korean | - |
dc.publisher | 한국로봇학회 (KROS) | - |
dc.title | UWB-Odometry 융합을 통한 최적화 기반 다중 무인 비행체 상대 위치 추정 기법 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 제 18회 한국로봇종합학술대회 (KRoC 2023) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 휘닉스 평창 | - |
dc.contributor.localauthor | 명현 | - |
dc.contributor.nonIdAuthor | 정명우 | - |
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