SEGMENTATION, CLASSIFICATION, AND TRACKING OF HUMANS FOR SMART AIRBAG APPLICATIONS

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" SEGMENTATION, CLASSIFICATION, AND TRACKING OF HUMANS FOR SMART AIRBAG APPLICATIONS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150173
Doc. No	:	ET21965
Main Entry	:	Michael E. Farmer
Title Proper	:	SEGMENTATION, CLASSIFICATION, AND TRACKING OF HUMANS FOR SMART AIRBAG APPLICATIONS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	There has been considerable attention paid to developing 'smart' airbags that candetermine, not only, if they should be deployed in a crash event, but also with what forcethey should be deployed. Information on the size and type of front passenger seatoccupant is used to determine the safe level of force with which to deploy the airbag. Todate vision systems have been success~lly applied to relatively controlled environments,such as for manufacturing, or they have been used in uncontrolled environments, such asfor surveillance, where there is a human in the loop to monitor the performance of thesystem.In this thesis we have developed a computer vision-based approach to airbag.,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45161.pdf
Title and statement of responsibility and	:	SEGMENTATION, CLASSIFICATION, AND TRACKING OF HUMANS FOR SMART AIRBAG APPLICATIONS [Thesis]