On Fri, Dec 13, 2013 at 1:42 AM, Ramasamy Kannan <[email protected]> wrote: > Indoor Navigation applications use sensor fusion algorithms on raw > accelerometer, gyroscope, magnetometer, barometer sensor data along with GPS > data to estimate the position of the mobile phone user. Sensor Fusion uses > extended kalman filter signal processing which normally gives better > estimation of position, height, orientation data when sampling rate is > increased for example to 25Hz or 50Hz or 100Hz. There are lots of research > papers online which provide information on this.
Indeed. Such solutions are generally proprietary and I would expect this to be another process that gets information from the sensor framework and feeds it upwards through geoclue (another process). The way the location stack is currently designed, making such a software solution that performs well is going to be difficult. Much of the sensor fusion work is moving into dedicated processors (such as in Apple's iPhone 5s), anyway. Modernizing our location stack, however, is something that is probably out of scope for a scheduling discussion. Cheers -- Michael Leibowitz _______________________________________________ Dev mailing list [email protected] https://lists.tizen.org/listinfo/dev
