Skip to content
DroidAR Mobile Locationbased Augmented Reality Framework for Android
Java C Other
Pull request Compare This branch is 1 commit behind simon-heinen:master.
Latest commit 24c5b6b Jan 9, 2015 @simon-heinen simon-heinen Update README.md

README.md

DroidAR

DroidAR is a framework for Augmented Reality on Android. Location based AR and marker based AR are both possible. Also read the wiki articles (or the FAQ) for more detailed information about DroidAR.

This framework can be used for many different scenarios, there are already some demo applications available (check the videos below). For the latest news about DroidAR also visit our blog.

DroidAR is available under commercial license (contact us at "info (at) bitstars.com" for more details) and can be downloaded and used for non commercial use under the GNU GPL v3 ( http://www.gnu.org/licenses/gpl.html ) license.

Register here to get notified for important news

If you want to you can support the opensource development of this project at https://www.gittip.com/bitstars

Contributing to the code

I would be great if you want to help working on the code, fixing bugs, refactorings and adding you own ideas. Contributing to DroidAR is easy on GitHub (that's the main reason why we switched from Google Code).

  1. Click "Fork", check out your fork and do your changes in your local copy of DroidAR
  2. When you are done commite all changes to you online copy
  3. Send a Pull-Request to via the Github webpage (see Pull-Requests for more infos).
  4. I will review your changes and merge them in the main repository so that everyone can use them.

There are some rules to allow an easy integration of your code and changes:

  • You have to use the default code formatting style of Eclipse
  • You should enable auto formatting whenever you save a file. This way you can't forget to format: Go to Preferences->Java->Editor->Save Actions and enable "Format source code" and "Organize imports".

Now when you save the code is formatted automatically. This will avoid commit conflicts and changes in the code can be reviewed more easily.

Demo Videos

Link to the DroidAR video

Link to the DroidAR video Link to the DroidAR video Link to the DroidAR video Link to the DroidAR video Link to the DroidAR video Link to the DroidAR video

Details

Location based AR and marker based AR are both possible. This framework can be used for many different scenarios, there are already some demo applications available.

  • Footstep recognition & Indoor AR
  • Locationbased Gaming & Crowdsourcing Framework

Since the initial creation of the prototype of an augmented reality development tool in 2010, it was continuously improved and new features were added. The created development tool (SDK) enables other programmers to integrate augmented reality in their own applications. We provided the SDK without charge with an Open Source License for non-commercial projects. It has since evolved into one of the most used open source augmented reality SDKs for the Android platform. The regular feedback from the developers as well as its application in seminars and practical project seminars, where the SDK was used as basis for their projects, greatly aided its improvement. The framework meets and raises interests and is currently being used by numerous developers around the globe. The recorded numbers of the site are about 1500 website visits per month with an increasing tendency. Also, 83% of the about 3200 developers return to the website following their initial visit.

Also take a look at the DroidAR FAQ and the other Wiki pages

Installation

A new instructions video is comming soon. You can watch the old one here:

Link to the DroidAR video

githalytics.com alpha

Applications using DroidAR

(If you use DroidAR in your application you can write us a mail to be added hiere)

Temple Treasure

CHIO Aachen

DroidAR 2 (currently closed source)

  • DroidAR 2 has a plugin for the free to use and fully open source rendering engine jMonkey which allows rapid testing on the desktop and full customization for any application scenario
  • The SDK combines sensor-based, location-based and SLAM tracking, everything offline on the phone
  • Combinable detection techniques: Markers, 2d images, 3d objects, geolocations and gesture detection
  • Strucutre from motion, 3D geometry reconstruction and texture projection
  • Multiplayer components for adhoc network sessions between users and mixed AR+VR scenarios

Contact us for more details

Something went wrong with that request. Please try again.