Today, car navigation systems have great popularity. These devices provide us the required accuracy in open air, but they aren't working indoors because of the lack of signals. However, the spreading of wireless communication also developed an infrastructure, which is ideal to build an indoor system with similar functionality. By knowing the positions indoor, one can introduce novel services like finding friends inside buildings, location dependent chat rooms, or route planning and navigation. Although there several early prototypes and products exist, which provide location service indoor, the topic is still widely investigated and there remained many questions to answer.
This thesis is an insight to an indoor localization project running at BME, which is based on the open-source Redpin. Our goal was to create a system that could help for the freshmen to navigate in the campus area. We worked in a team during the project execution, each of us designing and implementing different extensions to the original system. My task was to enhance Redpin with vector graphical components and 3D visualization.
In this report I present the details of design, implementation and evaluation related to a new vector graphical map editor and an Android based 3D visualization client. Besides I reviewed and summarized the related state of the art, including indoor positioning, vector graphics and similar approaches like our system. Finally I draw conclusions and make suggestions for further developments.