Long-range outdoor monocular localization with active features for ship air wake measurement
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019 === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 85-87). === Monocular pose estimation is a well-studied aspect of computer vision with a wide array of applic...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-1225042019-11-23T03:51:02Z Long-range outdoor monocular localization with active features for ship air wake measurement Draper, Brandon J. Jonathan P. How. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Aeronautics and Astronautics. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 85-87). Monocular pose estimation is a well-studied aspect of computer vision with a wide array of applications, including camera calibration, autonomous navigation, object pose tracking, augmented reality, and numerous other areas. However, some unexplored areas of camera pose estimation remain academically interesting. This thesis provides a detailed description of the system hardware and software that permits operation in one application area in particular: long-range, precise monocular pose estimation in feature-starved environments. The novel approach to pose extraction uses special hardware, including active LED features and a bandpass-interference optical filter, to significantly simplify the image processing step of the Perspective-n-Point (PnP) problem. The PnP problem describes the calculation of pose from n extracted image points corresponding to n known 3D world points. The proposed application method operates in tandem with a tethered unmanned aerial vehicle (UAV) and mobile ground control station (GCS). The integrated localization and flight system serves as a platform for future U.S. Navy air flow research. Indoor tests at the RAVEN flight space of MIT's Aerospace Controls Lab and outdoor tests at a grass strip runway demonstrate the system's efficacy in providing an accurate and precise pose estimate of the UAV relative to the mobile GCS. "Sources of funding for the project and my educational pursuits at MIT: Creare, LLC., the Small Business Technology Transfer (STTR), and the Office of Naval Research"--Page 5 by Brandon J. Draper. S.M. S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics 2019-10-11T21:53:36Z 2019-10-11T21:53:36Z 2019 2019 Thesis https://hdl.handle.net/1721.1/122504 1121198620 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 87 pages application/pdf Massachusetts Institute of Technology |
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Aeronautics and Astronautics. Draper, Brandon J. Long-range outdoor monocular localization with active features for ship air wake measurement |
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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019 === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 85-87). === Monocular pose estimation is a well-studied aspect of computer vision with a wide array of applications, including camera calibration, autonomous navigation, object pose tracking, augmented reality, and numerous other areas. However, some unexplored areas of camera pose estimation remain academically interesting. This thesis provides a detailed description of the system hardware and software that permits operation in one application area in particular: long-range, precise monocular pose estimation in feature-starved environments. The novel approach to pose extraction uses special hardware, including active LED features and a bandpass-interference optical filter, to significantly simplify the image processing step of the Perspective-n-Point (PnP) problem. The PnP problem describes the calculation of pose from n extracted image points corresponding to n known 3D world points. The proposed application method operates in tandem with a tethered unmanned aerial vehicle (UAV) and mobile ground control station (GCS). The integrated localization and flight system serves as a platform for future U.S. Navy air flow research. Indoor tests at the RAVEN flight space of MIT's Aerospace Controls Lab and outdoor tests at a grass strip runway demonstrate the system's efficacy in providing an accurate and precise pose estimate of the UAV relative to the mobile GCS. === "Sources of funding for the project and my educational pursuits at MIT: Creare, LLC., the Small Business Technology Transfer (STTR), and the Office of Naval Research"--Page 5 === by Brandon J. Draper. === S.M. === S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics |
author2 |
Jonathan P. How. |
author_facet |
Jonathan P. How. Draper, Brandon J. |
author |
Draper, Brandon J. |
author_sort |
Draper, Brandon J. |
title |
Long-range outdoor monocular localization with active features for ship air wake measurement |
title_short |
Long-range outdoor monocular localization with active features for ship air wake measurement |
title_full |
Long-range outdoor monocular localization with active features for ship air wake measurement |
title_fullStr |
Long-range outdoor monocular localization with active features for ship air wake measurement |
title_full_unstemmed |
Long-range outdoor monocular localization with active features for ship air wake measurement |
title_sort |
long-range outdoor monocular localization with active features for ship air wake measurement |
publisher |
Massachusetts Institute of Technology |
publishDate |
2019 |
url |
https://hdl.handle.net/1721.1/122504 |
work_keys_str_mv |
AT draperbrandonj longrangeoutdoormonocularlocalizationwithactivefeaturesforshipairwakemeasurement |
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1719295344370515968 |