Embedded sensor speed and width estimation

dc.contributor.advisorEvans, Brian L. (Brian Lawrence), 1965-
dc.contributor.committeeMemberValvano, Jonathan
dc.creatorDeKoning, Matthew Wayne
dc.creator.orcid0000-0002-4841-3299
dc.date.accessioned2018-02-28T18:43:26Z
dc.date.available2018-02-28T18:43:26Z
dc.date.created2017-12
dc.date.issued2017-12
dc.date.submittedDecember 2017
dc.date.updated2018-02-28T18:43:26Z
dc.description.abstractThe goal of this report is to provide a novel system of estimating width and velocity of an object passing perpendicularly through a sensor field. By fixing four sensors on an axis at known angles the distance and velocity of an object can be estimated from the times of detection of each sensor using a system of equations. To develop a prototype of this system the scenario was modeled and simulated, a processor and sensors were selected, and algorithms for detection and estimation were developed. The goal of the report was to develop a self-contained sensor network and computing platform that would correctly estimate the speed of the object in miles per hour within 15% accuracy, and to estimate the width of the object within 20% accuracy. Due to prototype design errors, these requirements were not met, however useful algorithms and simulations were developed to lead towards successful future work.
dc.description.departmentElectrical and Computer Engineering
dc.format.mimetypeapplication/pdf
dc.identifierdoi:10.15781/T2FF3MH0W
dc.identifier.urihttp://hdl.handle.net/2152/63778
dc.language.isoen
dc.subjectThermal sensing
dc.subjectSensor networks
dc.subjectEstimation
dc.titleEmbedded sensor speed and width estimation
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering

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