Abstract: 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.

Abstract: A non-aqueous electrolyte for a lithium secondary battery and a lithium secondary battery including the same are disclosed herein. In some embodiments, a non-aqueous electrolyte for a lithium secondary battery includes an organic solvent, a lithium salt, and a compound represented by Formula 1. In some embodiments, the compound represented by Formula 1 is present in an amount of 0.5 part by weight to 5 parts by weight based on 100 parts by weight of the non-aqueous electrolyte.

Abstract: An apparatus for predicting performance of a wheel in a vehicle: includes a learning device that generates a latent space for a plurality of two-dimensional (2D) wheel images based on a convolutional autoencoder (CAE), extracts a predetermined number of the plurality of 2D wheel images from the latent space, and learns a dataset having the plurality of 2D wheel images and performance values corresponding to the plurality of 2D wheel images; and a controller that predicts performance for the plurality of 2D wheel images based on a performance prediction model obtained by the learning device.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A vehicle localization method and a vehicle localization apparatus are disclosed. The vehicle localization method includes estimating an initial position of a vehicle based on data sensed by a position sensor, determining a driving lane of the vehicle based on a front-view image captured from the vehicle, correcting the initial position of the vehicle based on the driving lane, and determining a position of the vehicle in the driving lane based on geometry information of a lane boundary in the front-view image.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and apparatus for outputting pose information selects first points from a frames captured by a first sensor, estimates rotation information between the frames based on motion information sensed by a second sensor, corrects the estimated rotation information based on third points, the third points being remaining points when second points corresponding to a dynamic object are excluded from the first points, obtains translation information between the frames based on the third points and the corrected rotation information, and outputs the corrected rotation information and the translation information.

Abstract: A method and apparatus for estimating a position of a target is provided. The apparatus estimates a position of a target vehicle based on sensing data, calculates an error of the estimated position of the target based on the estimated position, acquired map data, and captured image data, and corrects the estimated position of the target based on the calculated error of the estimated position.

Abstract: A vehicle localization method and a vehicle localization apparatus are disclosed. The vehicle localization method includes estimating an initial position of a vehicle based on data sensed by a position sensor, determining a driving lane of the vehicle based on a front-view image captured from the vehicle, correcting the initial position of the vehicle based on the driving lane, and determining a position of the vehicle in the driving lane based on geometry information of a lane boundary in the front-view image.

Abstract: A method and apparatus for outputting pose information selects first points from a frames captured by a first sensor, estimates rotation information between the frames based on motion information sensed by a second sensor, corrects the estimated rotation information based on third points, the third points being remaining points when second points corresponding to a dynamic object are excluded from the first points, obtains translation information between the frames based on the third points and the corrected rotation information, and outputs the corrected rotation information and the translation information.

Abstract: 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.

Abstract: 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.

Abstract: A position estimation apparatus may measure 3-axis accelerations by at least two acceleration sensors disposed at different distances from a center of rotation of the position estimation apparatus, measure 3-axis angular velocity by a gyro sensor, and detect an azimuth angle using a geomagnetic sensor. Using the 3-axis accelerations measured by the acceleration sensors and the 3-axis angular velocity measured by the gyro sensor, the position estimation apparatus calculates gravity acceleration from which a rotational motion component is extracted.