3D positioning information on augmented identification for indoor localization

Augmented and virtual reality have one big thing in common. They both have the remarkable ability to alter our perception of the world. Virtual reality is able to transpose the user. Augmented reality however, takes our current reality and adds something to it. Hence, the 3D positioning information in Augmented reality system is very important. In our study, the authors prosed the three parts of newly technologies, including the weighted ratio method, the advanced geometric model and the Kalman learning system to improve the accuracy of 3D indoor positioning system, the results show that our proposed method not only can increase the positioning accuracy, but also save the large computation time than the comparing method in Chen's method.