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Proceedings Paper

Research on indoor visible light positioning system based on SLAM maps
Author(s): Congcong Wen; Chengzeng You; Ling Peng; Tong Wu ; Boyu Song; Beiru Lv
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Paper Abstract

The development of satellite positioning technology has solved the problem of precise positioning in the broad outdoor space, and location service (LBS) has gradually become an indispensable part of people's life and work. However, since satellite positioning signals are shielded by buildings in an indoor environment, satellite positioning technology cannot achieve precise positioning in an indoor environment. Most of the existing indoor positioning systems need to be equipped with additional devices, which increases the cost of hardware purchase and maintenance. At the same time, the map production needs to be manually drawn, which takes a lot of time and manpower. In order to solve these problems, this paper designed a low cost and high efficiency indoor high-precision positioning system, which uses indoor LED lamps as positioning base station and the SLAM technology commonly used in robotics to perform the 2D or 3D indoor map mapping.

Paper Details

Date Published: 29 October 2018
PDF: 6 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361Z (29 October 2018); doi: 10.1117/12.2512460
Show Author Affiliations
Congcong Wen, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Chengzeng You, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Ling Peng, Institute of Remote Sensing and Digital Earth (China)
Tong Wu , Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Boyu Song, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Beiru Lv, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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