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        <identifier>oai:www.ideals.illinois.edu:2142/89154</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:description>Made available in DSpace on 2016-03-02T20:24:16Z (GMT). No. of bitstreams: 2
DENG-THESIS-2015.pdf: 10264670 bytes, checksum: 79c01524ac593eb282a62d77039463b6 (MD5)
LICENSE.txt: 4207 bytes, checksum: 906aa460aa653867500b8233c87788c2 (MD5)
  Previous issue date: 2015-12-08</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 91356
Lift date: 2018-03-02T20:24:31Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 91356 on 2018-03-03T10:15:25Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/89154</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2015 Xinke Deng</dc:rights>
          <dc:subject>Visual-inertial Navigation</dc:subject>
          <dc:contributor>Bretl, Timothy W.</dc:contributor>
          <dc:creator>Deng, Xinke</dc:creator>
          <dc:date>2016-03-02T20:24:16Z</dc:date>
          <dc:date>2016-03-02T20:24:16Z</dc:date>
          <dc:date>2018-03-03T10:15:25Z</dc:date>
          <dc:date>2015-12-08</dc:date>
          <dc:date>2015-12</dc:date>
          <dc:description>In this thesis, we present a system that uses a single camera and an inertial
measurement unit (IMU) to navigate an Unmanned Aerial Vehicle (UAV) in a
previously unknown environment. The approach consists of two parts. First,
we apply a state-of-the-art simultaneous localization and mapping (SLAM)
method to the video stream of a onboard camera. From the SLAM system,
an up-to-a-scale pose of the camera is estimated, because the absolute size
of the environment cannot be estimated with a single camera. Second, the
estimated pose is fused with the data from IMU to resolve the scale ambiguity.
While analyzing the performance of the system, we find that the conver-
gence rate of scale decreases when the magnitude of scale increases. This
relationship has not been demonstrated and explained before. In this thesis,
we present an analysis and explanation of this phenomenon.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2017-12-01</dc:description>
          <dc:description>The student, Xinke Deng, accepted the attached license on 2015-12-07 at 23:03.</dc:description>
          <dc:description>The student, Xinke Deng, submitted this Thesis for approval on 2015-12-07 at 23:13.</dc:description>
          <dc:description>This Thesis was approved for publication on 2015-12-08 at 11:34.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #8960 on 2016-03-02 at 14:07:51</dc:description>
          <dc:subject>Scale Estimation</dc:subject>
          <dc:title>Autonomous visual-inertial navigation and absolute visual scale estimation</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Aerospace Engineering</department>
            <discipline>Aerospace Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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