3D Point Cloud의 영역 확장 기법을 이용한 Ground Plane 및 이동 가능 영역 검출
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 박주현 | ko |
| dc.contributor.author | 명현 | ko |
| dc.date.accessioned | 2020-12-01T02:30:36Z | - |
| dc.date.available | 2020-12-01T02:30:36Z | - |
| dc.date.created | 2020-11-26 | - |
| dc.date.issued | 2020-07-02 | - |
| dc.identifier.citation | 제 35회 제어•로봇•시스템학회 학술대회 (ICROS 2020), pp.97 - 98 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/277820 | - |
| dc.description.abstract | Recently, research has been actively conducted to determine the surrounding environment for autonomous driving of autonomous vehicles or mobile robots. Therefore, it is important to determine the correct driving environment. In this paper, the region growing technique is applied to 3D point cloud data to detect movable area. By the proposed method, the real-time detection of movable areas is possible. In addition, the experimental results are presented by comparing the ground truth 2D grid map with the detected movable area. | - |
| dc.language | Korean | - |
| dc.publisher | 제어•로봇•시스템학회 | - |
| dc.title | 3D Point Cloud의 영역 확장 기법을 이용한 Ground Plane 및 이동 가능 영역 검출 | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 97 | - |
| dc.citation.endingpage | 98 | - |
| dc.citation.publicationname | 제 35회 제어•로봇•시스템학회 학술대회 (ICROS 2020) | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 속초 델피노리조트 | - |
| dc.contributor.localauthor | 명현 | - |
| dc.contributor.nonIdAuthor | 박주현 | - |
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