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公开(公告)号：US20240153208A1
公开(公告)日：2024-05-09
申请号：US18193747
申请日：2023-03-31
发明人： Kapje SUNG , Daeul PARK
CPC分类号： G06T17/20 , G06T7/20 , G06V20/56 , G06T2207/30252
摘要： An electronic device includes: a camera sensor, disposed on a body, and configured to generate an image including image data by sequentially scanning scan lines; and memory storing instructions configured to cause a processor to: obtain a default mesh with vertices corresponding to positions of image pixels along a scan line of the camera sensor and back-projected onto a target plane, obtain a planar mesh from the default mesh according to motion of the body, and generate a scene view image from the image data based on the obtained planar mesh.
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公开(公告)号：US20220414933A1
公开(公告)日：2022-12-29
申请号：US17575092
申请日：2022-01-13
发明人： Kapje SUNG , Daeul PARK , Dongwook LEE , Jaewoo LEE
摘要： A processor-implemented method with sensor calibration includes: estimating a portion of a rotation parameter for a target sensor among a plurality of sensors based on a capture of a reference object; estimating another portion of the rotation parameter for the target sensor based on an intrinsic parameter of the target sensor and a focus of expansion (FOE) determined based on sensing data collected with consecutive frames by the target sensor while the electronic device rectilinearly moves based on one axis; and performing calibration by determining a first extrinsic parameter for the target sensor based on the portion and the other portion of the rotation parameter.
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公开(公告)号：US20230406209A1
公开(公告)日：2023-12-21
申请号：US18097771
申请日：2023-01-17
发明人： Daeul PARK , Kapje SUNG , Dongwook LEE , Jaewoo LEE
CPC分类号： B60R1/23 , G06T7/70 , B60R2300/802 , B60R2300/60 , B60R2300/302 , B60R2300/105 , G06T2207/30252
摘要： An electronic device includes: a processor configured to: based on two images captured at two different time points by a camera of a vehicle that is traveling and traveling information of the vehicle, determine a first transformation matrix of a camera coordinate system comprising a rotation matrix and a translation matrix for a movement of the vehicle between the two time points; transform the first transformation matrix into a second transformation matrix of a vehicle coordinate system; update a parameter of the camera to apply the movement of the vehicle to the parameter of the camera, based on either one or both of roll information and pitch information of the vehicle acquired from the rotation matrix; and visualize a blind spot of the camera based on the either one or both of the roll information and the pitch information, and based on the updated parameter and the second transformation matrix.
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公开(公告)号：US20230360381A1
公开(公告)日：2023-11-09
申请号：US18109928
申请日：2023-02-15
发明人： Jaewoo LEE , Yonggonjong PARK , Kapje SUNG , Sujin JANG
CPC分类号： G06V10/82 , G01S19/07 , G06V10/242 , G06V10/25 , G06V10/44 , G06V2201/07
摘要： An apparatus and method with data labeling are provided. An apparatus includes one or more processors configured to obtain localization information related to an object, based on the localization information, extract a landmark point from a landmark map including coordinates of a landmark, generate a ground truth image based on the extracted landmark point, and generate training data by refining the ground truth image.
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公开(公告)号：US20220366604A1
公开(公告)日：2022-11-17
申请号：US17669760
申请日：2022-02-11
发明人： Daeul PARK , Jaewoo LEE , Kapje SUNG , Dongwook LEE
摘要： A processor-implemented method with calibration includes: detecting a preset pattern comprised in a surface of a road from a driving image of a vehicle; transforming image coordinates in an image domain of the pattern into world coordinates in a world domain; determining whether to calibrate a camera capturing the driving image by comparing a size predicted based on the world coordinates of the pattern and a reference size of the pattern; in response to a determination to calibrate the camera, determining relative world coordinates of the pattern with respect to a motion of the camera, using images captured by the camera at different time points; transforming the relative world coordinates of the pattern into absolute world coordinates of the pattern; and calibrating the camera using a corresponding relationship between the absolute world coordinates of the pattern and the image coordinates of the pattern.
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