Samsung Electronics Co., Ltd.

Korea University Research and Business Foundation

Hojin Ju

Donghoon Sagong

Jaehwan Pi

Yuntae Kim

Kyungboo Jung

Hyun Cheol Jeon

Hyun Sung Chang

Yun-tae Kim

Sanghoon Sull

Seongwook Yoon

Jaehyun Kim

Wonhee Lee

Heejeong Lim

Chui Kang

Kyung Boo Jung

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, the first tracking coordinate including an image-based tracking coordinate in second 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.

Apparatus and method for estimating uncertainty of image coordinate

A sensing data processing device is provided. The sensing data processing device may track keypoints within a full observable range of the sensing data processing device based on sensing data collected from a previous frame and a sensing data collected from a current frame through a reference sensor, the full observable range determined based on a combined field of view (FOV) of sensors, manage a new keypoint together with the keypoints in response to the new keypoint being detected, and perform localization of the device based on the managed keypoints.

Method and device with sensing data processing

A processor-implemented method with pose estimation includes: tracking a position of a feature point extracted from image information comprising a plurality of image frames, the image information being received from an image sensor; predicting a current state variable of an estimation model for determining a pose of an electronic device, based on motion information received from a motion sensor; determining noise due to an uncertainty of the estimation model based on a residual between a first position of the feature point extracted from the image frames and a second position of the feature point predicted based on the current state variable; updating the current state variable based on the current state variable, the tracked position of the feature point, and the noise; and determining the pose of the electronic device based on the updated current state variable.

Method and apparatus with pose estimation

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.

Electronic device for predicting pose and operating method thereof

A processor-implemented pose prediction method includes: estimating a pose of a user for a predetermined period of time in real time; calculating an estimation confidence of the estimated pose; determining a weight for the pose of the user based on the estimated pose and the estimation confidence; and predicting a pose of the user after the predetermined period of time, based on the weight.

Method and apparatus with pose prediction

An operation method of a navigation apparatus includes: obtaining valid global positioning system (GPS) data at a current time point corresponding to a current position of a target device; determining first neighboring map elements corresponding to a first region indicated by the valid GPS data at the current time point from among a plurality of map elements of map data; and determining a pose parameter of the target device at the current time point based on a first direction specified by at least a portion of the first neighboring map elements.

Navigation apparatus and operation method of navigation apparatus

A method and apparatus with pose determination are provided. The method includes determining first pose information of a computing apparatus dependent on motion sensor information of motion of the computing apparatus, estimating second pose information of the computing apparatus dependent on feature point position information that is pre-defined for an object, and one or more feature points of the object that are extracted from an image captured by the computing apparatus, determining respective reliability values of the first pose information and the second pose information, and determining a pose of the computing apparatus for augmented reality (AR) content based on the first pose information, the second pose information, and the respective reliability values. AR content may be generated based on the determined pose.

Method and apparatus with augmented reality pose determination

A simultaneous localization and mapping-based electronic device includes: a data acquisition device configured to acquire external data; a memory; and a processor configured to be operatively connected to the data acquisition device and the memory, wherein the processor is further configured to extract features of surrounding objects from the acquired external data, calculate a score of a registration error of the extracted features when the number of the extracted features is greater than a set number stored in the memory, and select the set number of features from the among the extracted features, based on the calculated score.

Slam-based electronic device and an operating method thereof

A method of estimating a position of an image display device, the method including determining position information of a neck of a user based on position information of an image display device worn by the user, filtering the position information of the neck, and estimating a position of the image display device based on the filtered position information of the neck.

Method and apparatus for estimating position of image display device

A position information estimating method and apparatus are provided, wherein the position information estimating method includes estimating initial position information of a vehicle based on motion information of the vehicle that is obtained from one or more sensors, calculating search position information of one or more objects included in an image of surroundings of the vehicle based on the initial position information, evaluating a final reliability of each of the one or more objects based on the initial position information and the search position information, obtaining a filter adaptation parameter corresponding to a weight of the search position information based on the final reliability, and estimating final position information of the vehicle based on the initial position information, the search position information, and the filter adaptation parameter.

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Suwon-si, South Korea

Hojin Ju