Paper
29 October 2018 Research on indoor visible light positioning system based on SLAM maps
Congcong Wen, Chengzeng You, Ling Peng, Tong Wu , Boyu Song, Beiru Lv
Author Affiliations +
Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108361Z (2018) https://doi.org/10.1117/12.2512460
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Congcong Wen, Chengzeng You, Ling Peng, Tong Wu , Boyu Song, and Beiru Lv "Research on indoor visible light positioning system based on SLAM maps", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361Z (29 October 2018); https://doi.org/10.1117/12.2512460
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KEYWORDS
Visible radiation

Databases

Clouds

Sensors

Signal detection

Data modeling

Light emitting diodes

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