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A Collaborative Monocular Visual Simultaneous Localization and Mapping Solution to Generate a Semi-dense 3D Map
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | A Collaborative Monocular Visual Simultaneous Localization and Mapping Solution to Generate a Semi-dense 3D Map. |
| 개인저자 | Egodagamage, Ruwan Janapriya. |
| 단체저자명 | Purdue University. Computer Sciences. |
| 발행사항 | [S.l.]: Purdue University., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 107 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-07B(E). Dissertation Abstract International |
| ISBN | 9780355611564 |
| 학위논문주기 | Thesis (Ph.D.)--Purdue University, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Adviser: Mihran Tuceryan. |
| 이용제한사항 | This item is not available from ProQuest Dissertations & Theses. |
| 요약 | The utilization and generation of indoor maps are critical in accurate indoor tracking. Simultaneous Localization and Mapping (SLAM) is one of the main techniques used for such map generation. In SLAM, an agent generates a map of an unknown envi |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
