This Report was presented to the Faculty of the Graduate School of The University of Texas at Austin in partial fulfillment of the requirements for the degree of

Master of Science in Engineering


Embedded Sensor Speed and Width Estimation  


Matthew W. DeKoning, M.S.E.

The University of Texas at Austin, December 2017


Supervisor: Brian L. Evans

Reader: Jonathan Valvano


The 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.

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For more information contact: Matthew DeKoning <>