One of the limitations with sensor-based tracking is the sensors. As we introduced before, some of the sensors are inaccurate, noisy, or have drift. A technique to compensate their individual issue is to combine their values to improve the overall rotation you can get with them. This technique is called sensor fusion. There are different methods for fusing the sensors, we will use the method presented by Paul Lawitzki with a source code under MIT License available at http://www.thousand-thoughts.com/2012/03/android-sensor-fusion-tutorial/. In this section, we will briefly explain how the technique works and how to integrate sensor fusion to our JME AR application.
Argentina
Australia
Austria
Belgium
Brazil
Bulgaria
Canada
Chile
Colombia
Cyprus
Czechia
Denmark
Ecuador
Egypt
Estonia
Finland
France
Germany
Great Britain
Greece
Hungary
India
Indonesia
Ireland
Italy
Japan
Latvia
Lithuania
Luxembourg
Malaysia
Malta
Mexico
Netherlands
New Zealand
Norway
Philippines
Poland
Portugal
Romania
Russia
Singapore
Slovakia
Slovenia
South Africa
South Korea
Spain
Sweden
Switzerland
Taiwan
Thailand
Turkey
Ukraine
United States