公开(公告)号：US20230245429A1

公开(公告)日：2023-08-03

申请号：US18003463

申请日：2022-01-29

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Yue He ,  Yingying Li ,  Xiao Tan ,  Hao Sun

IPC: G06V10/774 ,  G06V20/56

CPC classification number: G06V10/774 ,  G06V20/588

Abstract: A method for training a lane line detection model includes: obtaining a plurality of road condition sample images and a plurality pieces of labeled lane line information corresponding to the plurality of road condition sample images; determining a plurality of elements corresponding to the plurality of road condition sample images and a plurality of element semantics corresponding to the plurality of elements; and obtaining the lane line detection model by training an initial artificial intelligence model based on the plurality of road condition sample images, the plurality of elements, the plurality of element semantics and the plurality pieces of labeled lane line information.