Dissertation/Thesis Abstract

Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S., California State University, Long Beach, 2015, 37; 1603749
Abstract (Summary)

Vehicle classification is one of the active research topic in Intelligent Transport System. This project proposes an approach to classify the vehicles on freeway with respect to the size of the vehicle. This vehicle classification is based on threshold based algorithm. This system consists of two AMR magneto-resistive sensors connected to TI msp430 development board. The data collected from the two magneto resistive sensors is analyzed and supplied to threshold based algorithm to differentiate the vehicles. With the use of minimum number features extracted from the data it was possible to produce very efficient algorithm that is capable of differentiating the vehicles.

Indexing (document details)
Advisor: Mozumdar, Mohammad
Commitee: Ary, James, Teng, Robert
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/02M(E), Masters Abstracts International
Subjects: Electrical engineering
Keywords: Amr magneto-resistive sensor, I2c, Intelligent traffic system (its), Threshold based algorithm, Timsp430
Publication Number: 1603749
ISBN: 978-1-339-23505-9
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy