DC Field | Value | Language |
---|---|---|
dc.contributor.author | 성창기 | ko |
dc.contributor.author | 명현 | ko |
dc.date.accessioned | 2021-08-31T07:50:30Z | - |
dc.date.available | 2021-08-31T07:50:30Z | - |
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/10203/287543 | - |
dc.description.abstract | Recently, there has been a lot of research on localization of the autonomous vehicle. For better localization result, the system requires better feature extraction and map matching result. In this paper, we propose a feature extraction method using traffic signs and HD map matching to have better localization of the autonomous vehicle using a 3D LiDAR sensor. The map matching result can be utilized in the Monte Carlo Localization (MCL) and graph-based Simultaneous Localization and Mapping System (SLAM). We verified the proposed method in the city and inside the campus. | - |
dc.language | Korean | - |
dc.publisher | 제어•로봇•시스템학회 | - |
dc.title | 3차원 라이다 센서를 이용한 표지판 추출 및 고정밀 지도 매칭 | - |
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 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.