Abstract
Indoor positioning on mobile phones has become more and more important to many applications. This paper presents a sensor-based 3D positioning system on mobile phones. It also proposes an efficient approach to determine the initial position which has a great influence on the position precision. By taking a photo of the pre-deployed cross board, the camera’s position can be identified immediately using the principle of single-photo resection. The proposed positioning scheme performs location estimation in three phases. First, use cross boards to precisely determine the initial position. Second, employ accelerometer, magnetometer embedded in mobile phones and INS to track the user’s position automatically. Finally, visualize the user’s location in the 3D model of the building based on GPU rendering technology. The experiment carried out in this paper has good results and indicates that the new method with the embedded sensors and close-range photogrammetry is a promising solution for indoor location.
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Acknowledgement
This work was supported by a grant from the National High Technology Research and Development Program of China (863 program) (No. 2012BAH35B03 and No. 2013AA12A203) and a grant from Shenzhen Science and Technology Development Program.
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Li, X., Zhou, Y., Xiong, H. (2015). 3D Indoor Location on Mobile Phones Using Embedded Sensors and Close-Range Photogrammetry. In: Gartner, G., Huang, H. (eds) Progress in Location-Based Services 2014. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11879-6_6
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DOI: https://doi.org/10.1007/978-3-319-11879-6_6
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