Thursday, 10 December 2009

My 3 favorite mobile augmented reality applications

Since the iPhone 3GS and Android platform mobile phones have appeared, a lot of mobile augmented reality application have launched. These include LBS (Location-Based Service) mobile augmented reality applications, games and so on.

I have tried some of these applications and here are my three favorite mobile augmented reality applications so far. This is only my personal opinion, and I only chose applications which are related to GIS or LBS.

1. Layar
Layar is a platform for mobile augmented reality. The great thing about this platform you can make your own augmented reality application on your Android phone and your iPhone.
In order to do this you need to get a developerID and a developer Key from Layar. I think Layar will help to diffuse the usage of augmented reality in the mobile world.
The video clip is here

2. Acrossair's Nearest tube
Acrossair's Nearest tube is one of the first augmented reality applications on the iPhone. The reason I like this application is that the user interface is very simple and easy. I think that is the most important factor if an application is to become widely used. In addition, this application has showed how we can use augmented reality with GIS (or LBS) in the first stage of mobile augmented reality.
However, producing only directions and distance is not enough for real-life usage. I have used this application only once since I downloaded it several months ago, but it does a great job of showing us what the future can hold when we combine augmented reality with GIS and LBS.
The video clip is here

3.WIKITUDE Drive - AR Navigation
AR Navigation is the best application when it comes to combining GIS with augmented reality. It also features world-wide coverage. In order to improve this application in the future, it could be fused with other technologies. For example, as display technology has improved there have been several attempts to use a car's windshield as a display material. If we can use this transparent display to provide information to a driver, we can have a significantly safer driving environment. And in order to enhance the accuracy of figure information, image recognition and detection technology should be improved.
The video clip is here

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