DC Field | Value | Language |
---|---|---|
dc.contributor.author | 현지음 | ko |
dc.contributor.author | 명현 | ko |
dc.date.accessioned | 2021-08-31T07:50:35Z | - |
dc.date.available | 2021-08-31T07:50:35Z | - |
dc.date.created | 2021-08-31 | - |
dc.date.issued | 2021-06-23 | - |
dc.identifier.citation | 제 36회 제어로봇시스템학회 학술대회 (ICROS 2021) | - |
dc.identifier.uri | http://hdl.handle.net/10203/287544 | - |
dc.description.abstract | In disaster environment, LiDAR or vision sensors can hardly be used due to dust and smoke. To deal with this situation, the localization techniques using UWB (ultra-wideband) signals have been researched. In this paper, the tightly-coupled UWB-IMU-based localization algorithm designed to be robust in NLOS (non-line-of-sight) environment is proposed. The NLOS error factor is estimated using UWB range and IMU measurement. The experimental results demonstrate the effectiveness of the proposed algorithm. | - |
dc.language | Korean | - |
dc.publisher | 제어•로봇•시스템학회 | - |
dc.title | 강결합 UWB-IMU 기반의 로봇 위치 인식 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 제 36회 제어로봇시스템학회 학술대회 (ICROS 2021) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 여수 소노캄 | - |
dc.contributor.localauthor | 명현 | - |
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