Development of Augmented Reality Indoor Navigation System based on Enhanced A* Algorithm

Abstract

Nowadays modern cities develop in a very rapid speed. Buildings become larger than ever and the interior structures of the buildings are even more complex. This drives a high demand for precise and accurate indoor navigation systems. Although the existing commercially available 2D indoor navigation system can help users quickly find the best path to their destination, it does not intuitively guide users to their destination. In contrast, an indoor navigation system combined with augmented reality technology can efficiently guide the user to the destination in real time. Such practical applications still have various problems like position accuracy, position drift, and calculation delay, which causes errors in the navigation route and result in navigation failure. During the navigation process, the large computation load and frequent correction of the displayed paths can be a huge burden for the terminal device. Therefore, the navigation algorithm and navigation logic need to be improved in the practical applications. This paper proposes an improved navigation algorithm and navigation logic to solve the problems, creating a more accurate and effective augmented reality indoor navigation system.

GoMap: Combining step counting technique with augmented reality for a mobile-based indoor map locator

“…Alternatively, an indoor navigation system can be combined with augmented reality technology in order to help indoor navigation. Yao et al [20] proposed an augmented reality indoor navigation system that can quickly search for the shortest path to the destination and with the improved navigation algorithm. However, one of its setbacks was motion blur due to jerky camera motion which blurred the edges and made it difficult to perform continuous tracking.…”