| LDR | | 01665nam u200385 4500 |
| 001 | | 000000422879 |
| 005 | | 20190215170501 |
| 008 | | 181129s2017 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780355611564 |
| 035 | |
▼a (MiAaPQ)AAI10623358 |
| 035 | |
▼a (MiAaPQ)purdue:21975 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Egodagamage, Ruwan Janapriya. |
| 245 | 12 |
▼a A Collaborative Monocular Visual Simultaneous Localization and Mapping Solution to Generate a Semi-dense 3D Map. |
| 260 | |
▼a [S.l.]:
▼b Purdue University.,
▼c 2017. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2017. |
| 300 | |
▼a 107 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B. |
| 500 | |
▼a Adviser: Mihran Tuceryan. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2017. |
| 506 | |
▼a This item is not available from ProQuest Dissertations & Theses. |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0183. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a Purdue University.
▼b Computer Sciences. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-07B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0183 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996652
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |