Samsung Electronics Co., Ltd.

Chul Woo Kang

Kyungboo Jung

Hwiryong Jung

Hyun Cheol Jeon

Wonhee Lee

Sunghoon Hong

Kyung Boo Jung

An electronic device includes: a timekeeping processor configured to: determine a sensing time point of reference sensing data, generated through sensing by a reference sensor of a plurality of sensors, and a sensing time point of other sensing data of another sensor of the plurality of sensors, based on a clock rate of the timekeeping processor; determine a time difference between the sensing time point of the reference sensing data and the sensing time point of the other sensing data; and determine a task latency from the sensing time point of the reference sensing data to a task complete time point based on the clock rate of the timekeeping processor; and one or more other processors configured to correct, based on the task latency, a task result processed according to localization of the electronic device determined for the sensing time point of the reference sensing data based on the determined time difference, the reference sensing data, and the other sensing data.

Electronic device and method with independent time point management

A processor-implemented motion information estimating method includes: estimating motion information based on at least one set of initial motion information of a vehicle that is obtained from at least one sensor; predicting a plurality of sets of image feature information corresponding to a periphery of the vehicle based on the estimated motion information; obtaining a plurality of sets of detected image feature information detected from an input image obtained from an image sensor and an accuracy of each of the sets of the detected image feature information using a neural network; evaluating a reliability of each of the sets of the detected image feature information by comparing the sets of the predicted image feature information and the sets of the detected image feature information; and correcting the estimated motion information based on at least one set of the sets of the detected image feature information selected based on a result of the evaluating of the reliability and on the accuracy.

Method and apparatus with motion information estimation

Disclosed is a method and apparatus with localization. The method includes determining a sensor-based reference position using a position sensor of the vehicle, determining an image-based reference position of the vehicle based on image information of the vehicle captured using a camera of the vehicle, setting an acceptance range for the image-based reference position based on a driving situation of the vehicle, and comparing an error level of the image-based reference position to the acceptance range and estimating a current position of the vehicle.

Method and apparatus with localization

A method of calculating a depth map includes dividing an input image into segments, calculating reliabilities of the segments, selecting at least one of the segments based on the reliabilities, estimating pose information of a camera with respect to the input image using the selected segment, and calculating a depth map of the input image based on the pose information of the camera.

Method and apparatus for calculating depth map based on reliability

Disclosed is a position estimating method and apparatus that estimates a position based on main sensing data and secondarily determines the position based on the main sensing data and auxiliary sensing data when the auxiliary sensing data is found to be reliable.

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Suwon-si, South Korea

Chul Woo Kang