Abstract: A method of obtaining and imputing missing data and a measurement system having the same are disclosed. The method.

Abstract: An electronic device includes a memory storing a plurality of motion prediction models, and a processor configured to estimate a current pose of the electronic device based on external data; predict a first motion of the electronic device at a future first prediction time through a first model in which the plurality of motion prediction models are combined for the future first prediction time, and calculate a first pose of the electronic device at the first prediction time based on the current pose and the first motion; and predict a second motion of the electronic device at a future second prediction time through a second model in which the plurality of motion prediction models are combined for the future second prediction time, and calculate a second pose of the electronic device at the second prediction time based on the first pose and the second motion.

Abstract: An apparatus for estimating an uncertainty includes a processor configured to receive a first tracking coordinate corresponding to a reference coordinate, the reference coordinate being included in first image data acquired by a camera sensor, image data acquired after the first image data; acquire, based on motion data acquired from a motion sensor and a depth value of the first image data, a second tracking coordinate corresponding to the reference coordinate, the second tracking coordinate including a motion-based tracking coordinate in the second image data; calculate a target coordinate distribution in the second image data based on the first tracking coordinate and the second tracking coordinate; acquire an estimated target coordinate and an uncertainty of the estimated target coordinate based on the calculated target coordinate distribution; and update the first tracking coordinate based on the estimated target coordinate.