Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/458461
Title: Evaluating contemporary navigation systems for enhanced performance and augmented user experience
Researcher: Saravjeet Singh
Guide(s): Jaiteg Singh
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: Chitkara University, Punjab
Completed Date: 2021
Abstract: Navigation system could be defined as a system to determine the vehicle newlineposition for providing manoeuvre instructions to its user. Navigation system newlineis extensively used for location identification and route finding process newlinebetween two geographical areas. Present GNSS based navigation system newlinemeets the requirement of maximum users but still faces some challenges newlinedue to the existence of positioning error, time and space trade off and proprietary newlinespatial database. These positional errors occur when GPS receivers newlineare unable to provide GPS fix due to signals abeyance. Positional accuracy newlineof navigation systems can be achieved by improving the performance of newlinemap matching algorithms. Challenges associated with proprietary data can newlinebe overcome by the use of crowd sourced spatial data. The crowd sourced newlinemaps such as OpenStreetMap being non proprietary data source produces newlinehuge spatial data, with less effort and developer would work on the devising newlinemethod to use the data rather than collecting the data. In this research newlinewe designed a prototype of the navigation system that will give much effective newlinegeographic positioning, augmented user interface and reduced space/ newlinetime complexity. In this study we disseminated the quality issue associated newlinewith the navigation system. These quality issues can be due to spatial data, newlinepositional components and other components of the navigation system. The newlineperformance issue associated with positional interface also evaluated by the newlinemap matching algorithm and to overcome these issues we proposed GiMM newline(Genetic induced map Matching) algorithm to enhance the performance of newlinemap matching algorithms. Further to enhance the navigation system experience, newlinean augment interface is introduced in the system. In brief, we developed newlinean algorithm for a navigation system that provides an augmented newlineuser interface with crowd sourced data in a low GPS signal environment. newline
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URI: http://hdl.handle.net/10603/458461
Appears in Departments:Faculty of Computer Science

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chapter1.pdf2.09 MBAdobe PDFView/Open
chapter2.pdf4.01 MBAdobe PDFView/Open
chapter3.pdf587.56 kBAdobe PDFView/Open
chapter4.pdf2.3 MBAdobe PDFView/Open
chapter5.pdf2.82 MBAdobe PDFView/Open
chapter6.pdf2.73 MBAdobe PDFView/Open
chapter7.pdf2.8 MBAdobe PDFView/Open
chapter8.pdf1.81 MBAdobe PDFView/Open
chapter9.pdf720.64 kBAdobe PDFView/Open
conference certificate.pdf417.28 kBAdobe PDFView/Open
title.pdf63.54 kBAdobe PDFView/Open
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