VLC-based indoor location awareness using LED light and image sensors

Seok-Ju Lee; Jong-Ho Yoo; Sung-Yoon Jung

doi:10.1117/12.999807

30 November 2012 VLC-based indoor location awareness using LED light and image sensors

Seok-Ju Lee, Jong-Ho Yoo, Sung-Yoon Jung

Proceedings Volume 8558, Optoelectronic Imaging and Multimedia Technology II; 85580L (2012) https://doi.org/10.1117/12.999807
Event: Photonics Asia, 2012, Beijing, China

Abstract

Recently, indoor LED lighting can be considered for constructing green infra with energy saving and additionally providing LED-IT convergence services such as visible light communication (VLC) based location awareness and navigation services. For example, in case of large complex shopping mall, location awareness to navigate the destination is very important issue. However, the conventional navigation using GPS is not working indoors. Alternative location service based on WLAN has a problem that the position accuracy is low. For example, it is difficult to estimate the height exactly. If the position error of the height is greater than the height between floors, it may cause big problem. Therefore, conventional navigation is inappropriate for indoor navigation. Alternative possible solution for indoor navigation is VLC based location awareness scheme. Because indoor LED infra will be definitely equipped for providing lighting functionality, indoor LED lighting has a possibility to provide relatively high accuracy of position estimation combined with VLC technology. In this paper, we provide a new VLC based positioning system using visible LED lights and image sensors. Our system uses location of image sensor lens and location of reception plane. By using more than two image sensor, we can determine transmitter position less than 1m position error. Through simulation, we verify the validity of the proposed VLC based new positioning system using visible LED light and image sensors.

Citation Download Citation

Seok-Ju Lee, Jong-Ho Yoo, and Sung-Yoon Jung "VLC-based indoor location awareness using LED light and image sensors", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85580L (30 November 2012); https://doi.org/10.1117/12.999807

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