NDLI: Neural Network-Based Indoor Positioning Using Virtual Projective Invariants

Content Provider	Springer Nature Link
Author	Ifthekhar, Md. Shareef Le, Nam Tuan Hossain, M. Arif Nguyen, Trang Jang, Yeong Min
Copyright Year	2016
Abstract	Indoor positioning techniques has become a key research issue for future smart services because of the high market value in providing location-based services via smartphones and ondemand services. In image sensor communications (ISC) case, one of the main advantages of the indoor navigation system is that the LED itself can transmit its location information using visible light communication. In addition, the camera usually has an angle of arrival sensor that facilitates the precise determination of not only user position but also user orientation. However, because of the nonlinear and highly complicated relationship between 3D scenery and a pictured 2D image, the development of a complex mathematical model is needed to estimate user position using a camera. Neural network is a good approach for minimizing this complicated relationship. Hence, it is possible to develop a precise positioning technique without any complicated mathematical model between the 3D world and 2D image coordinates. This paper proposes a neural network-based novel positioning technique. The proposed method exploits the projective invariant properties of a line that is virtually constructed with the help of ISC. Then, a neural network scheme is used to extract the camera orientation information from that virtual line. Next, a simple mathematical equation is used to estimate user position. Simulation results show the proposed method has better performance than the previous methods.
Starting Page	1813
Ending Page	1828
Page Count	16
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	86
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2016-01-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Indoor positioning Neural network Image sensor communications Camera Smartphone Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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