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Mobile solutions for indoor positioning and navigation

Student: Sergeeva Ekaterina

Supervisor: Maxim Leykin

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Software Engineering (Bachelor)

Final Grade: 9

Year of Graduation: 2019

The primary purpose of the work is to research different mobile solutions for indoor positioning and navigation, describe their advantages and disadvantages and propose an algorithm to get better accuracy. Chapter 1 shows the relevance of the project. In Chapter 2 purposes, tasks and requirement are set. In Chapter 3, existing solutions, their strengths and weaknesses are analysing. Chapter 4 describes the advantages and disadvantages of each technology and the algorithms. Chapter 5 describes the Kalman filter and its application in the project. Chapter 6 describes the functionality and architecture of the application. Chapter 7 compares described technologies in terms of accuracy, power consumption and cost. Chapter 8 shows the results of the research.

Full text (added May 20, 2019)

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