Open source GPS+IMU sensor fusion?

1. What is IMU sensor fusion?
2. What is GPS and IMU?
3. Why use Kalman filter with IMU?

What is IMU sensor fusion?

IMU and GPS sensor fusion to determine orientation and position. Use inertial sensor fusion algorithms to estimate orientation and position over time. The algorithms are optimized for different sensor configurations, output requirements, and motion constraints.

What is GPS and IMU?

Global Positioning System (GPS) and Inertial Measurement Unit (IMU) sensor can be used to obtain information about object location and attitude. This IMU consists of some sensors, i.e. accelerometer, gyroscope, and magnetometer.

Why use Kalman filter with IMU?

It is more akin to a "recursive estimator." The Kalman filter is most valuable in systems where a predicted location can be more useful than an otherwise unfiltered noisy solution that could have positional error. The Kalman filter estimates orientation angles using all of the sensor axis contributions within the IMU.