Orientation Estimation using Unscented Kalman Filter(UKF)

Date:

source code
demo 1 / demo 2 / demo 3 / demo 4

  1. Succeeded in implementing a Kalman filter to track three-dimensional orientation of a hand-handled camera.
  2. Given IMU sensor readings from gyroscopes and accelerometers, the algorithm will estimate the underlying 3D orientation by learning the appropriate model parameters from ground truth data given by a Vicon motion capture system.
  3. Generated a real-time panoramic image using images captured by the camera and information filtered by the 3D orientation filter.