e.g. odometry, in order to obtain information which enables accurate localization at
higher tracking frequencies. Odometry is an natural choice as it is available in most mobile robot systems, where sensors are used for monitoring the rotation of the robot’s wheels. Odometry can be employed for pose estimation at a high frequency. However, in opposite to localization methods based on vision or laser data, odometry allows only a relative localization, i.e. it computes the movements relative to the last pose. The consequence is that the estimation errors are accumulated over time and, thus, the odometry localization becomes inaccurate in the long run.