2026-09-19T00:00:41Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1216642026-06-06T00:48:38Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Ramesh Raskar.
Erdozain, Jack,Jr.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2019-07-15T20:32:09Z
2019-07-15T20:32:09Z
2019
2019
https://hdl.handle.net/1721.1/121664
1102055593
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 69-72).
3D sensing technologies have been exploited for many applications in autonomous vehicles, manufacturing, and consumer products, however, existing techniques may suer in challenging conditions, where scattering due to fog, dust, or smoke is present. While light in the visible and near IR spectrum are heavily affected by by common scattering mediums, long-wave infrared (also known as thermal IR) experiences less scattering, especially when scattering particles are small. This thesis proposes and demonstrates a structured light scanning approach which operates in the long-wave IR Spectrum. We believe that structured light technique with long-wave IR leads to more robust 3D sensing in some challenging environments. In this thesis the conceptual framework behind the technology is presented, the technology is demonstrated, and testing of long-wave infrared projection is compared to the visible spectrum.
by Jack Erdozain Jr.
M.Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
72 pages
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Long wave infrared structured light
Thesis
application/pdf
2019-07-15T20:32:07Z
Publication
Master
EECS
unknown
unknown
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<Abstract>3D sensing technologies have been exploited for many applications in autonomous vehicles, manufacturing, and consumer products, however, existing techniques may suer in challenging conditions, where scattering due to fog, dust, or smoke is present. While light in the visible and near IR spectrum are heavily affected by by common scattering mediums, long-wave infrared (also known as thermal IR) experiences less scattering, especially when scattering particles are small. This thesis proposes and demonstrates a structured light scanning approach which operates in the long-wave IR Spectrum. We believe that structured light technique with long-wave IR leads to more robust 3D sensing in some challenging environments. In this thesis the conceptual framework behind the technology is presented, the technology is demonstrated, and testing of long-wave infrared projection is compared to the visible spectrum.</Abstract>
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