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An intelligent vehicle security system based on human behaviors modeling.

by Meng Xiaoning. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 99-106). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Overview --- p.2 / Chapter 1.3 --- Organization of the Thesis --- p.3 / Chapter 2 --- Related Research --- p.6 / Chapter 2.1 --- Information Technology in Cars --- p.6 / Chapter 2.2 --- Anti-theft Protection --- p.8 / Chapter 2.3 --- Learning Human Behaviors --- p.10 / Chapter 2.4 --- Neural Network Learning --- p.11 / Chapter 3 --- Experimental Design --- p.14 / Chapter 3.1 --- Overview --- p.14 / Chapter 3.2 --- Driving Simulation Subsystem --- p.14 / Chapter 3.3 --- Data Sensing and Capturing Subsystem --- p.15 / Chapter 3.4 --- Data Analysis Subsystem --- p.17 / Chapter 4 --- Data Preprocessing for Feature Selection --- p.23 / Chapter 4.1 --- Introduction --- p.23 / Chapter 4.2 --- Fast Fourier Transform --- p.23 / Chapter 4.3 --- Principal Component Analysis --- p.24 / Chapter 4.4 --- Independent Component Analysis --- p.26 / Chapter 5 --- Classification via Support Vector Machine --- p.28 / Chapter 5.1 --- Introduction --- p.28 / Chapter 5.1.1 --- Why Using Support Vector Machine --- p.28 / Chapter 5.1.2 --- Mathematic Description --- p.29 / Chapter 5.2 --- Problem Formulation --- p.31 / Chapter 5.3 --- Approach --- p.31 / Chapter 5.4 --- Experimental Results --- p.34 / Chapter 5.4.1 --- Preprocess Data Analysis --- p.34 / Chapter 5.4.2 --- Models Design --- p.37 / Chapter 5.5 --- Discussion --- p.44 / Chapter 6 --- Evaluation via Hidden Markov Model --- p.47 / Chapter 6.1 --- Introduction --- p.47 / Chapter 6.1.1 --- Why Using Hidden Markov Model --- p.48 / Chapter 6.1.2 --- Mathematic Description --- p.50 / Chapter 6.2 --- Problem Formulation --- p.51 / Chapter 6.3 --- Approach --- p.53 / Chapter 6.4 --- Experimental Results --- p.56 / Chapter 6.4.1 --- Model-to-model Measure --- p.56 / Chapter 6.4.2 --- Human-to-model Measure --- p.63 / Chapter 6.4.3 --- Parameters Optimization --- p.66 / Chapter 6.5 --- Discussion --- p.69 / Chapter 7 --- System Design and Implementation --- p.71 / Chapter 7.1 --- Introduction --- p.71 / Chapter 7.2 --- Hardware --- p.72 / Chapter 7.3 --- Software --- p.78 / Chapter 7.4 --- System Demonstration --- p.80 / Chapter 8 --- Conclusion and Future Work --- p.82 / Chapter 8.1 --- Contributions --- p.82 / Chapter 8.2 --- Future Work --- p.84 / Chapter A --- Hidden Markov Model Training --- p.87 / Chapter A.1 --- Forward-backward Algorithm --- p.87 / Chapter A.2 --- Baum-Welch Algorithm --- p.87 / Chapter B --- Human Driving Behavior Data --- p.90 / Chapter C --- Publications Resulted from the Study --- p.98

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_325741
Date January 2006
ContributorsMeng, Xiaoning., Chinese University of Hong Kong Graduate School. Division of Automation and Computer-Aided Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, x, 106 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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