Graduation Semester and Year
2014
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Roger Walker
Abstract
Supervising Professor: Roger Walker With bridges representing a significant part of the road network in the United States, continual monitoring and early detection of deterioration in these structures is vital to prevent expensive repairs or catastrophic failures. Advances in sensing and information technologies help in monitoring and evaluating the health of a bridge. Currently, all the bridge monitoring systems are static in nature. With the help of TxDOTs Pavement Management Information System (PMIS) survey, the proposed mobile Bridge Monitoring System will periodically monitor these structural changes and help the maintanance management decision making process. The mobile Bridge Monitoring System has been the topic of ongoing research at the Transportation Instrumentation Laboratory for a few years now. The objective of this research is to solve issues related to the proposed Bridge Monitoring System which are necessary for its implementation.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Mune Gowda, Sushruth, "Computer Vision Aided Bridge Monitoring System" (2014). Electrical Engineering Theses. 288.
https://mavmatrix.uta.edu/electricaleng_theses/288
Comments
Degree granted by The University of Texas at Arlington