SMART INDOOR

NAVIGATION
USING
AUGMENTED REALITY
- Sponsored By Arnima 3D
Team
Project Guide - Prof. Suchitra Morwadkar

Yogita Bacchewar Rutuja Chandegave Pooja Dendage Seema Dhamgunde

C22018441605 C22018441606 C22018441615 C22018441620
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TODAY’S AGENDA
1 PROJECT INTRODUCTION

2 LITERATURE SURVEY AND RESEARCH WORK

3 EXPLORING SDKs & NAVIGATION DEMO

4 BUILDING HOME INDOOR NAVIGATION

5 BUILDING COLLEGE FLOOR INDOOR NAVIGATION

 ABSTRACT
RESEARCH

● Explored 20+ IEEE

OBJECTIVE 03 research papers to get a
brief idea about
● Proposing a solution for localisation techniques.
Indoor Navigation ● Studied other navigation
systems.
● Creating an appealing and
a convenient experience
for navigating in indoor
spaces.
SIGNIFICANCE
.
01 02
● Asset to sighted as
well as impaired
people.
● Hassle-free navigation
for all age groups.
 INTRODUCTION
Augmented Reality into picture
● Superimposes digital data and images on
the physical world and promises to close
this gap thus creating an interactive user
experience.

● Indoor Navigation is in trend

these days.
● Current technologies for Indoor
● Assisting people navigate in indoor
Navigation are either not
environments using environment
accurate or have high hardware
tracking technology and AR
requirements.
instructions.
● 3D point cloud localization requires a
pre deployment stage i.e 3D scanning
WHY AUGMENTED REALITY?
Beacons-based indoor navigation
needs improvement
● ACCURACY : 5-6 mts
● COST : 10-20$ per beacon
● MAINTENANCE : 1-2 years

Augmented reality refines indoor positioning

● ACCURACY : millimeters.
● HARDWARE : Only Mobile
● Directions to users on screen overlaid
on top of real environments

WiFi RTT
● ACCURACY : 5-15 mts
● SUPPORTED BY ANDROID PIE
DEVICES ONLY.
● Depends upon wifi signal strength.
NAVIGATION DEMO
- Using Unity 3D
ARWay
ARWAY is an indoor navigation platform that uses augmented reality and voice guidance, enabled by machine
learning to connect, inform, guide users and ensure building safety.

build and With Azure

test their Spatial
software fast, scalable, Anchors by
on location highly Microsoft
AI and customizable, No
cloud web-based, Hardware,
support With real-time. No
Flutter Markers
by
Google
CLOUD POINT MAPPING &
LOCALISATION
1. With Map
Task 1 METHODOLOGY
2. Without Map

With all the research and the

CONFIGURING WEB STUDIO Task 2 references we went through, we
finally decided to go with the
markerless, point cloud based
indoor navigation system which
had the minimum hardware
UNITY DEPLOYMENT Task 3 requirements.

FINAL DEPLOYMENT AND

NAVIGATION
HOME PLAN NAVIGATION
( With Map)

COLLEGE PLAN NAVIGATION

( Without Map)
01 ARWay Point cloud mapping

Setting the point cloud and map

with the locations and waypoints. 02
13
UNITY MODULE
1. Unity’s Compatibility
with ARway
2. Importing SDKs
3. Deploying point clouds
from ARWay to Unity
 COLLEGE
NAVIGATION
DEMO
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 PROPOSED OUTCOMES + FEASIBILITY

01 02 03 04
Hassle-free Implementation
Real-time Both iOS and
Indoor of both methods-
handling with android
navigation with localisation using
Intelligent compatible.
least hardware maps and
pathfinding.
requirements. without maps.
SOCIAL IMPACT
FUTURE SCOPE
1. Integrating voice
assistant for visually
impaired people.
2. Merging indoor and
outdoor navigation.
3. Integrating Flutter with
Unity and ARWay to
create enhanced UI
features to match users
goals and intentions .
4. Multifloor
implementation.
Achievements
● Literature Survey paper
presented in ICDMAI
Conference which is Scopus
Indexed.
● 1st winner at Mutation,
Sinhgad college-Lonavala
● 1st winner at Avishkar,JSPM
Tathawade,Pune
● Secured 2nd prize at Tech
Srujan, State level project
competition.
● Won BEST project in AR at
National level project
competition by NMIET 19
PATENTABLE?
We are in touch with R&D
Dean of Cummins College of
Engineering Dr. Sunita
Jahirabadkar ma’am and the
project is under patent
search.
TIMELINE
Deploying ARWay point
Exploring ARWay SDK clouds in Unity and Creating Navigation app
and point cloud checking unity for College floor with
mapping. compatibility just point clouds

PHASE - 1 PHASE - 2 PHASE - 3 PHASE - 4 PHASE - 5 PHASE - 6

Exploring Unity and DESIGN & App Deployment and

building a basic demo IMPLEMENTATION: Point testing in Home
for understanding cloud mapping of home
Navigation using A* plan in ARWay
algorithm.
CONCLUSION
Proposed a system for Indoor Navigation using Augmented
1 Reality

2 Has wide range of applications in different domains.

3 Capable of handling emergencies

Future scopes if implemented will definitely help visually

4 impaired people also.
 REFERENCES (A)
1. [Ayush Sharma, [2]Nisarg Gandhewar, [3]Naushad Dhun, [4]Neeraj Nehra Student, 2 Assistant Professor Department
of Computer Science and Engineering S.B. Jain Institute of Technology, Management and Research, Nagpur
2. Bo-Chen Huang 1, Jiun Hsu 2 , Edward T.-H. Chu 1,* and Hui-Mei Wu Department of Computer Science and
Information Engineering, National Yunlin University of Science- 2018
3. Indoor Navigation using Augmented Reality Ashly Martin*, John Cheriyan, JJ Ganesh, Joel Sebastian, Jayakrishna V
Amal Jyothi College of Engineering, Kottayam, Kerala, India - 2021
4. S. Hilsenbeck, A. M¨oller, R. Huitl, G. Schroth, M. Kranz, and E. Steinbach. Scale-preserving long-term visual odometry
for indoor navigation. In International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2012.
5. Andreas Möller, Matthias Kranz, Robert Huitl, Stefan Diewald, Luis Roalter. A Mobile Indoor Navigation System
Interface Adapted to Vision-Based Localization ,International Conference on Indoor Positioning and Indoor Navigation
(IPIN), 2012.
6. Alessandro Mulloni, Hartmut Seichter, Dieter Schmalstieg ,Handheld Augmented Reality Indoor Navigation,Institute
for Computer Graphics and Vision Conference Paper · August 2011
7. Pradeep Kumar G H, Akhila N, Aravind R, Mohith P ,INDOOR NAVIGATION USING AR TECHNOLOGY, International Journal
of Engineering Applied Sciences and Technology, 2020 Published Online January 2020 in IJEAST

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 REFERENCES (B)
1. C.G. Low*, Y.L. Lee, "SUNMAP+: AN INTELLIGENT LOCATION-BASED VIRTUAL INDOOR NAVIGATION SYSTEM
USING AUGMENTED REALITY", International Conference on System Engineering and Technology (ICSET),
(2015)Published: https://ieeexplore.ieee.org/xpl/conhome/7114925/proceeding
2. A.R. Pratama, Widyawan, and R. Hidayat, "Smartphone-based Pedestrian Dead Reckoning as an Indoor
Positioning System", International Conference on System Engineering and Technology (ICSET), pp.1-6,
(2012)
3. S. Beauregard and H. Haas, “Pedestrian Dead Reckoning : A Basis for Personal Positioning,” in
Proceedings of the 3rd Workshop on Positioning, Navigation and Communication, pp. 27-35, 2006.
4. “Indoor Navigation Using A* Algorithm”, Faculty of Computer Science and Information Technology,
Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia, © Springer International Publishing AG 2017
5. “Indoor Navigation for Visually Impaired Using AR Markers”, Guojun Yang and Jafar Saniie Department of
Electrical and Computer Engineering Illinois Institute of Technology Chicago, Illinois, United States 15
6. Delling, D., Sanders, P., Schultes, D., Wagner, D.: Engineering route planning algorithms. In: Lerner, J.,
Wagner, D., Zweig, Katharina, A. (eds.) Algorithmics of Large and Complex Networks. LNCS, vol. 5515, pp.
117–139. Springer, Heidelberg (2009). doi:10.1007/978-3-642-02094-0_7

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THANK YOU