Doctoral Dissertations
Date of Award
12-2019
Degree Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Engineering Science
Major Professor
Howard Hall, John Auxier II
Committee Members
Robert Bond, Matthew Cook, Zhili Zhang, John Schmisseur
Abstract
The primary intention of this project was to improve upon the current state-of-the-art radiological detection methods by integrating autonomous control methods, Bayesian statistics, Savitzky-Golay filtering, other search methods, and novel swarming techniques together to create a single push-button multi-agent radiation search algorithm (the Padua algorithm). The primary agents the algorithm was designed for onboard usage with were multirotor-type unmanned aerial vehicles (UAV’s) and, in certain portions of search, fixed wing UAV’s. The development of Padua for this project was performed entirely in simulation using the Python Dronekit SITL API. The final algorithm performed exceptionally well with the ability to narrow down the predicted location of a large radioactive source to only a few meters or less from a space that was 1 sq. km. in less than an hour.
Recommended Citation
Magocs, Benjamin, "PADUA RADIOLOGICAL SEARCH SYSTEM. " PhD diss., University of Tennessee, 2019.
https://trace.tennessee.edu/utk_graddiss/5708