DC Field | Value | Language |
---|---|---|
dc.contributor.author | 현지음 | ko |
dc.contributor.author | 오택준 | ko |
dc.contributor.author | 명현 | ko |
dc.date.accessioned | 2021-06-09T23:30:15Z | - |
dc.date.available | 2021-06-09T23:30:15Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2021-05-19 | - |
dc.identifier.citation | 제 16회 한국로봇종합학술대회 (KRoC 2021) | - |
dc.identifier.uri | http://hdl.handle.net/10203/285665 | - |
dc.description.abstract | In fire disaster situation, vision or LiDAR sensors can hardly be used due to smokes. To deal with this environment, the localization methods using UWB signals have been researched. In this paper, the UWB-IMU sensor fusion-based localization algorithm designed to be robust in NLOS (non-line-of-sight) environment is proposed. When UWB sensors are in NLOS situation, the TOA of the signal is increased. The NLOS factor of the UWB is calculated using IMU measurement. The RMSE error of estimated trajectory is about 10 cm compared to the ground truth. | - |
dc.language | Korean | - |
dc.publisher | 한국로봇학회 | - |
dc.title | NLOS 환경에서 강결합을 이용한 강인한 UWB-IMU 기반 위치 추정 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 제 16회 한국로봇종합학술대회 (KRoC 2021) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 휘닉스 평창 | - |
dc.contributor.localauthor | 명현 | - |
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