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A Study on Augmented Reality Assisted Navigation App Using Machine Learning and Computer Vision

Waheeda Dhokley1 , Asif Syed2 , Nitika Tomar3 , Riya Patil4

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 412-415, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.412415

Online published on Feb 28, 2019

Copyright © Waheeda Dhokley, Asif Syed, Nitika Tomar, Riya Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Waheeda Dhokley, Asif Syed, Nitika Tomar, Riya Patil, “A Study on Augmented Reality Assisted Navigation App Using Machine Learning and Computer Vision,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.412-415, 2019.

MLA Style Citation: Waheeda Dhokley, Asif Syed, Nitika Tomar, Riya Patil "A Study on Augmented Reality Assisted Navigation App Using Machine Learning and Computer Vision." International Journal of Computer Sciences and Engineering 7.2 (2019): 412-415.

APA Style Citation: Waheeda Dhokley, Asif Syed, Nitika Tomar, Riya Patil, (2019). A Study on Augmented Reality Assisted Navigation App Using Machine Learning and Computer Vision. International Journal of Computer Sciences and Engineering, 7(2), 412-415.

BibTex Style Citation:
@article{Dhokley_2019,
author = { Waheeda Dhokley, Asif Syed, Nitika Tomar, Riya Patil},
title = {A Study on Augmented Reality Assisted Navigation App Using Machine Learning and Computer Vision},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {412-415},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3678},
doi = {https://doi.org/10.26438/ijcse/v7i2.412415}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.412415}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3678
TI - A Study on Augmented Reality Assisted Navigation App Using Machine Learning and Computer Vision
T2 - International Journal of Computer Sciences and Engineering
AU - Waheeda Dhokley, Asif Syed, Nitika Tomar, Riya Patil
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 412-415
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Indoor navigation has become as important as outdoor navigation. Navigating in big, unknown indoor environments with static 2D maps is a challenge, especially when time is a critical factor. Here we try to present a solution to this problem through an augmented reality based indoor navigation application to assist people in navigating indoor environments, which runs on mobile devices like smartphones or tablets. The excellent computing capabilities in today’s high-end phones or smartphones in combination with their multiple sensors, such as Global Positioning System (GPS), motion sensors, camera, wireless receivers, will allow us to develop a system more advanced than any previous attempts for indoor navigation. The solution will utilize an indoor image based positioning system that takes advantage of smartphones augmented reality (AR) and inertial tracking. The system will have the capability of delivering continuous 3D positioning and orientation of the mobile device which makes it ideal for any navigational application.

Key-Words / Index Term

Augmented Reality (AR), Global Positioning System (GPS), Indoor Navigation, Technology

References

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