Intelligent Vision Impaired Indoor Navigation Using Visible Light Communication

Author(s):  
Jayakody Arachchilage Don Chaminda Jayakody ◽  
Iain Murray ◽  
Johannes Hermann ◽  
Shashika Lokuliyana ◽  
Vandhana Dunuwila
Author(s):  
Kevin Jerome ◽  
Varghese Tony ◽  
R. Vinayak ◽  
K.J. Dhanaraj

In This Paper, an Indoor navigation system is proposed for persons with visually disability that utilize VLC (Visible Light Communication) Technology. Using VLC we can provide precise locational coordinates or directions regarding their journey. Light Fidelity (Li-Fi) refers to the VLC technology. VLC is based on the concept that uses visible light as a means of communication enabling faster flow of information [1]. The principle of VLC is that it uses light as a medium to deliver high speed communication. The main idea is to create internal navigation system for the area to create automatic navigation for the visitor who are visually challenged. The Li-Fi is preferred over Wi-Fi because Wi-Fi is nothing but radio-telecommunication which effective within premises, while Li-Fi is effective for faster communication in restricted places without any hurdles. The concept of Li-Fi is used to give the navigation path for visually challenged person and particularly voice guidance of the walk way. Headphone is used to give the voice message to such people. The data is transmitted through the LED light which emits the visible light and an embedded system accepts from receiver. The received data is converted into audio format for the blind people. The suitability of system has been confirmed by means of useful prototype through a trail with blind person.


2019 ◽  
Vol 11 (4) ◽  
pp. 427
Author(s):  
Jun Yan ◽  
Bingcheng Zhu ◽  
Liang Chen ◽  
Jin Wang ◽  
Jingbin Liu

Affected by the complexity of the indoor environment, accurate indoor positioning is challenging in many localization based services (LBS). Recently, it has been recognized that, visible light communication (VLC) is promising for indoor navigation and positioning, due to the low implementation cost with marginal modification to the existing infrastructure and the possibility to achieve high accurate positioning results. Provided that the positions of the light emitting diodes (LEDs) are known to the receiver, the angle of arrival (AOA) of the light signal is able to be estimated by a camera embedded in a smart phone, and thus the position of the smart phone can be derived based on the triangulation. In this paper, the performance of the positioning accuracy is analyzed based on indoor positioning with VLC, and the analytical upper bound of location error is derived. Extensive simulation results have verified the theoretical analysis on the VLC-based localization approach in different indoor scenarios. In order to obtain better location performance, the principles of choosing reference LED and localization LED are also given.


Author(s):  
Ya-Hsin Hsueh ◽  
Po-Cheng Su ◽  
Yi-Fong Lin ◽  
Hsin-Han Huang ◽  
Ting-Chun Liu

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