公开(公告)号：US20230154206A1

公开(公告)日：2023-05-18

申请号：US17862821

申请日：2022-07-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： NAYEON KIM ,  MOONSUB BYEON ,  DOKWAN OH ,  DAE HYUN JI

IPC: G06V20/56 ,  B60W40/06

CPC classification number: G06V20/588 ,  B60W40/06 ,  B60W2552/53

Abstract: A method of generating lane information using a neural network includes generating a lane probability map based on an input image, generating lane feature information and depth feature information by applying the lane probability map to a second neural network, generating depth distribution information by applying the depth feature information to a third neural network, generating spatial information based on the lane feature information and the depth distribution information, generating offset information including a displacement between a position of a lane and a reference line by applying the spatial information to a fourth neural network, and generating three-dimensional (3D) lane information using the offset information.

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.