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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151453
Doc. No : ET23245
Main Entry : Yee Chin Wong
Title Proper : TARGET TRACKING IN A MULTISENSOR ENVIRONMENT USING NEURAL NETWORKS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The advent of technology has brought to the field of engineering many tools thatwere once considered impractical. For example, the increased processing speed ofmicroprocessors now allows measurements from image sensors to be used for targettracking or target identification in real time - a task once thought unachievable. Of latethe advances made in artificial intelligence (AI), specifically the artificial neural network,have sprung many different applications among which the implementation of AIcontrollers being the most popular. However, these advances have been slow in theirimplementation in the field of target tracking for several reasons. First, there seems to bea lack of sound tracking architectures that can expioit the use of artificial intelligentagents. Second, there is some difficulty in fusing the different fonns of information thatcan be measured from the various available sensors such as the image sensor, millimeterwave radar, Doppler radar, erc. Third, the increased computational....-....,....-...,..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 : TL46481.pdf
Title and statement of responsibility and : TARGET TRACKING IN A MULTISENSOR ENVIRONMENT USING NEURAL NETWORKS [Thesis]
 
 
 
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