We are committed to using various indoor and outdoor images, 3D objects and static scenes as recognition objects to build an augmented reality world. This paper focuses on the research and application of indoor augmented reality navigation. Indoor navigation has a variety of technical solutions, such as Wi-Fi Based and indoor sensor based. As one of them, augmented reality has the advantages of no need to deploy additional hardware devices in advance, six degrees of freedom and high precision. By analyzing the development of augmented reality indoor navigation and the underlying technology, we summarize and implement three solutions: map based (MB), point-cloud based (PCB), image based (IB). We first conducted a control experiment, and compared these schemes with the flow theory and the experimental data. At the same time, we collected the feedback and suggestions during the experiment, and carried out a second experiment on some components of augmented reality navigation (such as path, point of interest), and obtained the corresponding quantitative data.
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