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公开(公告)号:US20230048497A1
公开(公告)日:2023-02-16
申请号:US17862704
申请日:2022-07-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jinhyuk CHOI , SEHO SHIN , ByeongJu LEE , Sung Hyun CHUNG , DAE HYUN JI
IPC: G06V20/70 , G06V20/58 , G06V10/776 , G06V10/82
Abstract: Disclosed is an apparatus and method with object detection. The method may include updating a pre-trained model based on sensing data of an image sensor, performing pseudo labeling using an interim model provided a respective training set, determining plural confidence thresholds based on an evaluation of the interim model, performing multiple trainings using the interim model and the generated pseudo labeled data, by applying the determined plural confidence thresholds to the multiple trainings, respectively, and generating an object detection model dependent on the performance of the multiple trainings, including generating an initial candidate object detection model when the interim model is the updated model.
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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:US20220383529A1
公开(公告)日:2022-12-01
申请号:US17525183
申请日:2021-11-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: ByeongJu LEE , Seho SHIN , Sung Hyun CHUNG , Jinhyuk CHOI
Abstract: A method with vanishing point estimation includes: obtaining an image of a current time point of objects comprising a target vehicle; detecting the objects in the image of the current time point; tracking positions of the objects in a world coordinate system by associating the objects with current position coordinates of the objects determined from images of previous time points that precede the current time point; determining a vanishing point for each of the objects based on the positions of the objects; and outputting the vanishing point determined for each of the objects.
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