Indoor Navigation System

Abstract

Abstract: At some point in their life, everyone has probably gotten lost in an auditorium, had trouble finding an exit at an airport, or maybe they got there late because they didn't find suitable lecture hall in a university. But this way of getting lost in complexes and large halls could soon be a thing of the past. Today, indoor navigation apps for mobile devices are common and people need to find their destination inside tall buildings. Most indoor navigation apps use different technologies such as Wi-Fi fingerprints and Bluetooth beacons. These applications use pre-computed paths and fixed background maps to guide users to their destinations. Users of these systems need to understand how specific interior cards and card reading signals work in general. Additionally, these systems require complex and precise calculations to determine a route before navigating begins, which can be affected by spotty Wi-Fi signals. Discover Indoor Maps, the new generation of indoor navigation. In this article, we offer an indoor map that expands to 3D capabilities using augmented reality, with an increasing focus on commerce and general orientation. Indoor navigation systems integrating augmented reality allow users to locate locations in buildings and gain more knowledge about their surroundings. Although different efforts with different technologies, infrastructures and capabilities have been introduced, the procedures used to specify these systems have not yet been standardized. Additionally, while systems generally manage location contextual information in a proprietary format, a platform-independent model is desirable, which would encourage its access, updating, and management. This article proposes an approach for the development of an indoor navigation system based on the integration of augmented reality and semantic web technologies to present navigation instructions and contextual information about the environment. It consists of four modules: Defining Spatial Models, Data Management (Ontology Supported), Location and Navigation, and Content Visualization.