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020 ▼a 9780438382763
035 ▼a (MiAaPQ)AAI10828044
035 ▼a (MiAaPQ)colorado:15580
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 629.8
1001 ▼a Falquez, Juan M.
24510 ▼a Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM).
260 ▼a [S.l.] : ▼b University of Colorado at Boulder., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 128 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Christoffer Heckman.
5021 ▼a Thesis (Ph.D.)--University of Colorado at Boulder, 2018.
520 ▼a Long-term autonomy is the dream of many roboticists -- and if a robotic system can be split into three main categories: perception, planning and control -- then the biggest challenges to achieve this dream are undoubtedly faced in perception. La
520 ▼a The objective of this dissertation is to present components that would lead to a robust dense visual SLAM system. It starts by exploring 3D reconstruction algorithms, showing distinctions between local and global methods and presenting an increm
520 ▼a It then introduces the concept of sensor fusion, where multiple sensors are joined to provide a higher degree of tracking accuracy. It compares different visual SLAM systems -- dense and semi-dense -- and shows how the inclusion of an Inertial M
520 ▼a Finally, it explores different error metrics used in direct photometric optimization -- the foundation of dense tracking systems. It introduces the Normalized Information Distance (NID), an entropy based metric that is shown to achieve high loca
590 ▼a School code: 0051.
650 4 ▼a Robotics.
690 ▼a 0771
71020 ▼a University of Colorado at Boulder. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0051
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999108 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자