首页> 外国专利> METHOD AND SYSTEM FOR LEARNING LANE CHANGEABLE TIME BASED ON CAMERA AND METHOD AND SYSTEM FOR PREDICTING TIME LANE CHANGEABLE TIME

METHOD AND SYSTEM FOR LEARNING LANE CHANGEABLE TIME BASED ON CAMERA AND METHOD AND SYSTEM FOR PREDICTING TIME LANE CHANGEABLE TIME

机译:基于摄像机的车道变更时间的学习方法及系统,时间变更时间的预测方法及系统

摘要

Disclosed are a method for learning a lane changeable time point based on a camera and a system thereof and a method for predicting a lane changeable time point and a system thereof. According to an embodiment of the present invention, the method for learning a lane changeable time point comprises the steps of: receiving an image, in which a first or second label is assigned to an individual frame by being input through a camera in relation to a side-rear region of a vehicle, wherein the image, to which the first label is assigned, includes an image indicating a lane change in a blocked state and the image, to which the second label is assigned, includes an image indicating the lane change in a free state; assigning a label defining that a lane is changeable after n seconds (n is a natural number) in at least one frame before a switching time point in accordance with a frame per second (FPS) with respect to the switching time point when a state is switched from the blocked state to the free state; and learning a lane changeable time point based on the frames of the image and the label included in the frames.
机译:公开了一种基于相机的学习车道改变时间点的方法及其系统,以及用于预测车道改变时间点的方法及其系统。根据本发明的实施例,用于学习车道改变时间点的方法包括以下步骤:接收图像,其中通过相对于摄像机通过摄像机输入将第一或第二标签分配给单独的帧。车辆的后部区域,其中分配有第一标签的图像包括指示在阻塞状态下的车道变化的图像,分配有第二标签的图像包括指示车道变化的图像处于自由状态根据状态相对于切换时间点的每秒切换帧数(FPS),在切换时间点之前的至少一帧中分配一个定义为车道在n秒钟后变化的标签(n是自然数)。从阻塞状态切换到空闲状态;并且基于图像的帧和帧中包括的标签来学习车道改变时间点。

著录项

  • 公开/公告号KR20200029652A

    专利类型

  • 公开/公告日2020-03-19

    原文格式PDF

  • 申请/专利权人 NAVER LABS CORPORATION;

    申请/专利号KR20180105530

  • 发明设计人 SEONGGYUN JEONG;DONGKYU LEE;JAESIK MIN;

    申请日2018-09-04

  • 分类号G08G1/16;B60W30/18;B60W40/02;G06N3/08;G06T7/11;G06T7/20;

  • 国家 KR

  • 入库时间 2022-08-21 11:07:36

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