In densely populated areas or indoors, the accuracy of GPS signals can be significantly reduced. This is because satellite signals can be obscured by buildings and reflected from them, which creates so- called multi-layer reflections. As a result, the system can incorrectly determine the position, which leads to a significant error. This creates serious problems for indoor navigation, especially if high accuracy is required. Alternative indoor navigation technologies are being actively developed to solve this problem. Since Wi-Fi routers are often found in indoor environments, they can be used to determine location. This allows you to choose the approximate location with an accuracy of several meters. However, this system requires many access points for accurate operation, which is a problem in the case of Lviv Polytechnic National University buildings. There is incomplete or no coverage, large wall thickness, underground passages between buildings, and classrooms in underground rooms. Therefore, there was an objective need to develop a project for the implementation of navigation and positioning in enclosed spaces by developing a mobile application for searching for classrooms and offices, forming and visualizing routes based on two-dimensional matrix codes and taking into account the Location Services indicators overlaid on the plans of the academic buildings of Lviv Polytechnic National University. It is proposed that a QR or Aztec code be used to determine the location and provide brief information about a particular office or classroom of an academic building. The location can also be set manually or determined using data from the saved plans of the university buildings and campus. The Dijkstra algorithm is used to calculate the shortest path. This made it possible to develop a conceptual model of the information system, considering the stakeholders' requirements.
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Oleh Veres (2025) studied this question.
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