Honors Theses and Capstones
Date Completed
Spring 2017
Abstract
Through data analysis of various plots and figures it will be possible to determine the best control parameters to get the best performance out of the autonomous driving platform. This data, presented in this thesis, will show quantitatively what the best control strategies are through comparison of different versions of the platform.
First Advisor
Thomas Miller
College or School
CEPS
Department or Program
Computer Engineering
Degree Name
Bachelor of Science
Recommended Citation
Rickarby, Charles R., "Autonomous Driving Platform Performance Analysis" (2017). Honors Theses and Capstones. 338.
https://scholars.unh.edu/honors/338