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公开(公告)号:US20250022172A1
公开(公告)日:2025-01-16
申请号:US18432712
申请日:2024-02-05
Applicant: Samsung Electronics Co. , Ltd.
Inventor: Yonggonjong Park , Daeul Park , Moonsub BYEON , Seho SHIN , Jaewook YOO , Jaewoo LEE , Sung Hyun CHUNG
Abstract: A method and apparatus for calibrating a camera are provided. The method and apparatus include obtaining a driving image captured by a camera mounted on a vehicle, segmenting line regions including straight lines from the captured driving image, extracting feature points of the straight lines from the line regions, projecting the feature points of the straight lines into a world coordinate system, and estimating an error for a calibration parameter of the camera including at least one of a pitch, a roll, or a yaw so that the feature points projected into the world coordinate system satisfy a line parallel condition.
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公开(公告)号:US20250166393A1
公开(公告)日:2025-05-22
申请号:US18602299
申请日:2024-03-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Dae Ung JO , Jaewook YOO
IPC: G06V20/58 , G06V10/25 , G06V10/32 , G06V10/762
Abstract: Disclosed is a method of detecting a traffic light with an object recognition model configured to recognize traffic lights. The method includes: obtaining an input image from a camera included in a vehicle, the input image among frames, including previous frames, captured by the camera; estimating, based on prior information about traffic light objects, a first region of interest (RoI) for the input image; determining a second RoI based on the first RoI and based on detection results of the previous frames, wherein the detection of results correspond to recognition results of recognizing traffic lights in the previous frames by the object recognition model; and recognizing, by the object recognition model, a traffic light in the input image, wherein the recognizing is based on the input image and the second RoI.
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公开(公告)号:US20240144452A1
公开(公告)日:2024-05-02
申请号:US18303930
申请日:2023-04-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaewook YOO , Youngwan SEO , Dokwan OH , Dasol HAN
CPC classification number: G06T7/0002 , B60W50/14 , B60W60/0053 , G06T7/70 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: An electronic device and method for detecting contamination of a camera lens, where the electronic device includes at least one camera configured to capture an image, a memory configured to store the image, and a contamination detection model configured to detect a contaminated portion of a lens of the at least one camera, in response to the image being input, and a processor configured to determine whether an operation of the electronic device is hindered by the contaminated portion, in response to the contamination detection model detecting the contaminated portion in the lens of the at least one camera.
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公开(公告)号:US20240060595A1
公开(公告)日:2024-02-22
申请号:US18211914
申请日:2023-06-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Yonggu DO , Jaewook YOO , Chulyong CHO , Soonsuk SEO
CPC classification number: F16M11/18 , F16M11/105 , F16M11/041 , F16M2200/028
Abstract: A display stand includes: a support stand comprising a slide groove extending in one direction; a stand arm couplable to a display module and configured to be movable along the slide groove; a slider mounted in the support stand, the slider being coupled to the stand arm and being configured to be slid in the one direction with the stand arm; a locker mounted in the support stand, the locker comprising a stopper movable between a locking position and an unlocking position, when in the locking position, the stopper being interfered with the slider to prevent the stand arm from moving in the one direction along the slide groove; and a supporter couplable to the support stand, the supporter being configured to support the support stand and retain the stopper at the unlocking position by being coupled to the support stand.
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公开(公告)号:US20220383623A1
公开(公告)日:2022-12-01
申请号:US17696354
申请日:2022-03-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jaewook YOO , Dokwan OH , Dasol HAN
IPC: G06V10/776 , G06V10/82 , G06V10/77 , G06V10/764
Abstract: Disclosed are a method and apparatus for training a neural network model to increase performance of the neural network model, the method including receiving input data and target data, pooling, by a neural network model, on a feature map extracted from the input data based on a probability for each of classes of the feature map, generating output data by inputting the input data to a neural network model, determining a loss based on comparing the output data and the target data and an auxiliary loss of the pooling, and training the neural network model based on the loss.
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