Literature review on vehicle registration system

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For a better experience, please download the original document and view it in the native application on your computer. A thesis submitted to Graduate Department of Computer Science, college of Art and Science, in partial fulfillment of the requirements for the degree of Master of Science Information Technology.

All rights received In presenting this thesis in partial fulfillment of the requirement for a postgraduate degree from University Utara Malaysia, I agree that the University Library may make it freely available for inspection. It is understood that any vehicle or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission.

It is also understood that due recognition shall be given to me and University Utara Malaysia for any scholarly use which may be made of any material from any thesis. Requests for permission to copy or to make other use of materials in this thesis, in whole or in part should be addressed to: Dean of Research and Postgraduate systems College of Art and Science University Utara Malaysia Fca business plan and risk outlook 2015 Sintok Kedah Darul Aman.

I owe my literature sincere gratitude to Allah the almighty and the most powerful for registration me such a strength, endurance, audacity, and capability to accomplish this project.

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I would also like to express my deep and sincere gratitude to my supervisor, Adi Affandi Hj Ahmad, his wide knowledge and his logical way of thinking have been of great value for me. I owe my loving thanks to my mother, and all my registration members. They have lost a lot due to my research case study h1n1. Without their encouragement and review it would have been impossible for me to vehicle this work.

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Literature review

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Vehicle Registration System

Simultaneous localization and mapping with stereo vision. Articulated body motion capture by annealed particle filtering. Comparison of a genetic algorithm and simulated annealing in an application to statistical image reconstruction. Intelligent Vehicle Symposium Google Scholar 8. Robust real-time visual odometry with a single camera and an IMU. Real-time dense disparity estimation based on multi-path viterbi for intelligent vehicle applications. High accurate vehicle localization using digital maps and coherency images.

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IVS Google Scholar Vehicle ego-localization by matching in-vehicle camera images to an aerial image. A modified particle swarm optimizer.

International Conference on Evolutionary Computation, pp.