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dc.contributor.advisorRamesh Raskar.en_US
dc.contributor.authorErdozain, Jack,Jr.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-07-15T20:32:09Z
dc.date.available2019-07-15T20:32:09Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/121664
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 69-72).en_US
dc.description.abstract3D 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.en_US
dc.description.statementofresponsibilityby Jack Erdozain Jr.en_US
dc.format.extent72 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleLong wave infrared structured lighten_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1102055593en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-07-15T20:32:07Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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