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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150629
Doc. No : ET22421
Main Entry : Navaneethakrishnan Balraj
Title Proper : AUTOMATED ACCIDENT DETECTION IN INTERSECTIONS VIA DIGITAL AUDIO SIGNAL PROCESSING
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The aim of this thesis is to design a system for automated accident detection in intersections. The input to the system is a three-second audio signal. The system can be operated in two modes: two-class and multi-class. The output of the two-class system is a label of ب‍crashپ or ب‍non-crash.پ In the multi-class system, the output is the label of ب‍crashپ or various non-crash incidents including ب‍pile driveب‍ ,پbrakeپ, and ب‍normal-trafficپ sounds. The system designed has three main steps in processing the input audio signal. They are: feature extraction, feature optimization and classification. Five different methods of feature extraction are investigated and compared; they are based on the discrete wavelet transform, fast Fourier transform, discrete cosine transform, real....-...,..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 : TL45637.pdf
Title and statement of responsibility and : AUTOMATED ACCIDENT DETECTION IN INTERSECTIONS VIA DIGITAL AUDIO SIGNAL PROCESSING [Thesis]
 
 
 
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