Research on AR Positioning System Based on Kalman Filtering Algorithm

This study focuses on the application of the Kalman filtering algorithm in the AR positioning system. It elaborates on the principles of both and constructs the corresponding system model. Verified by cases such as indoor AR navigation and industrial AR-assisted assembly, as well as indoor and outdoor experiments, this algorithm can significantly improve the positioning accuracy and system stability. However, complex noise and sensor failures will affect its performance. In the future, it is planned to integrate advanced algorithms, optimize the hardware, and customize scenario solutions to facilitate the development and widespread application of the AR positioning system.