Skip to content

A mobile application that delivers highly accurate indoor mapping and navigation using Augmented Reality built on the principles of SLAM.

Notifications You must be signed in to change notification settings

thisisKushagr/HTNE_SUBMISSION_NAV_AR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

40 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Greetings from Team Cypher,

We are glad to present our idea

" NAV-AR "

What is NAV-AR ?

NAV-AR is a mobile application that delivers highly accurate indoor mapping and navigation using Augmented Reality built on the principles of SLAM.

Inspiration

In this age almost every inch of our world is already mapped. You’ll navigate using google maps or some other GPS app. However, once you reach your destination and go indoors, GPS has no line of sight and you go back for asking directions. This is where NAV-AR “comes into play”(enters).

How We built it

We built Nav-AR by use of SLAM i.e., Simultaneous Localization and Mapping, a computational technique that involves the task of constructing an internal map of an unknown area whilst keeping track of its position inside the area. Next we rendered the map and made use of A* pathfinding algorithm for finding shortest path. To deliver a highly interactive Augmented Reality Experience, we used Unity Engine and Google ARCore. Lastly we made use of a QR code scan mechanism for calibration and localisation purposes.

Our Team built NAV-AR using :

  • Unity
  • Google ARCore
  • SLAM
  • C#
  • A* Pathfinding algo

Challenges We ran into

(re)positioning the user inside the map while navigation

Accomplishments that we are proud of

Creating a fully functional Augmented Reality app(prototype) in a short span of time with a explanation video of the same

What we learned

Implementing Augmented Reality, A* Pathfinding algo for, baking navmesh and had a great experience.

What's next for "NAV-AR"

Making it more cloud dependent so that the user can download the map from the database to navigate.

Our Team

1. Deepak Chaturvedi
2. Kushagra Goel
3. Kartik Gupta
4. Saurabh Chaudhary

Link to the video

About

A mobile application that delivers highly accurate indoor mapping and navigation using Augmented Reality built on the principles of SLAM.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages