公开(公告)号：US20250131736A1

公开(公告)日：2025-04-24

申请号：US18612385

申请日：2024-03-21

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jaeseok CHOI ,  Dongwook LEE ,  ByeongJu LEE ,  Younghwa JUNG ,  Young Rae CHO

IPC: G06V20/58 ,  G06V10/77

Abstract: A processor-implemented method with object recognition includes obtaining sensor data comprising points representing a surrounding environment of a sensor, detecting, from the sensor data, a shaded region in which the points are not generated due to occlusion by a surrounding object, generating feature data using the shaded region, and performing object recognition for the surrounding environment of the sensor based on the feature data.

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

IPC: G06T7/536 ,  G06T7/73 ,  G06K9/00

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.

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.