Bridge Monitoring System Using Embedded Computer Vision

dc.contributor.author	Modi, Kenan	en_US
dc.date.accessioned	2011-10-11T20:48:20Z
dc.date.available	2011-10-11T20:48:20Z
dc.date.issued	2011-10-11
dc.date.submitted	January 2011	en_US
dc.identifier.other	DISS-11325	en_US
dc.identifier.uri	http://hdl.handle.net/10106/6152
dc.description.abstract	The bridges and overpass are integral part of road network. These structures deteriorate the moment the construction is over. The factors of deterioration are impact loads of vehicles, natural factors such as wind, rain, earthquake, floods, etc. These deterioration leads to structural failures. In order to prevent failures these structure should be periodically monitored and maintained. In this research project a novel method for early detection of bridge failure using computer vision application and 3D road profiling system is proposed. The objective of this research work to check the feasibility of this bridge monitoring system for any structural movement detection. Several computer vision techniques is studied and implemented for the process of bridge movement detection	en_US
dc.description.sponsorship	Walker, Roger	en_US
dc.language.iso	en	en_US
dc.publisher	Electrical Engineering	en_US
dc.title	Bridge Monitoring System Using Embedded Computer Vision	en_US
dc.type	M.S.	en_US
dc.contributor.committeeChair	Walker, Roger	en_US
dc.degree.department	Electrical Engineering	en_US
dc.degree.discipline	Electrical Engineering	en_US
dc.degree.grantor	University of Texas at Arlington	en_US
dc.degree.level	masters	en_US
dc.degree.name	M.S.	en_US