Complex Architecture/ Indoor Navigation using Augmented Reality

Indoor navigation faces significant challenges, as traditional methods like GPS are ineffective in indoor environment. An Augmented Reality (AR)-based navigation system provides a promising solution by blending real-time interactive elements with indoor positioning technology. This paper surveys a cost-effective AR-based indoor navigation framework that integrates Simultaneous Localization and Mapping (SLAM), QR code repositioning, and the A* pathfinding algorithm. The system leverages mobile device sensors like accelerometers, gyroscopes, and cameras. To enhance spatial awareness and provide dynamic real-time navigation assistance, QR codes serve as exact reference points to fix SLAM drift errors, ensuring accurate user localization. AR-based visual guidance, with floating arrows and directional markers, makes the user experience better. The system operates independently of external technologies like GPS or Wi-Fi, enabling scalable deployment in complex indoor environments like train stations, shopping centers, and hospitals. Future upgrades will focus on AI-driven pedestrian flow analysis, better SLAM accuracy, and cloudbased data synchronization. Overall, this study demonstrates the potential of AR to transform indoor navigation by serving an interactive, accurate, and cost-effective solution to modern wayfinding challenges. Keywords—Indoor Navigation, Indoor Positioning, Augmented Reality, Simultaneous Localization and Mapping (SLAM), QR code, A* Pathfinding Algorithm, ARCore, NavMesh*.