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Image-based lane detection and ego-lane recognition method and apparatus

机译:基于图像的车道检测和EGO车道识别方法和装置

摘要

An image-based lane detection method and apparatus using an artificial intelligence model for learning/predicting lane information expressed in the form of a surface rather than a line segment such as a straight line or curve is provided. An apparatus for detecting a lane according to an embodiment of the present invention includes: an acquisition unit configured to acquire a front image of a vehicle; and a processor that detects lane information on a road by inputting the image obtained through the acquisition unit into the artificial intelligence model, wherein the artificial intelligence model is trained to detect lane information expressed in the form of a plane from the input image. can Accordingly, it is possible to solve the extreme data imbalance between the lane area and the non-lane area by using an artificial intelligence model that learns/predicts lane information expressed in the form of a surface rather than a line segment such as a straight line or curve.
机译:提供了一种基于图像的车道检测方法和使用用于学习/预测以表面的形式表示的车道信息而不是诸如直线或曲线的线段表示的车道信息。 根据本发明的实施例的用于检测车道的装置包括:获取单元,被配置为获取车辆的前图像; 并且通过将通过获取单元获得的图像输入到人工智能模型中来检测道路上的道路信息的处理器,其中培训人工智能模型以检测从输入图像以平面形式表示的通道信息。 因此,可以通过使用学习/预测以表面形式表示的人工智能模型而不是诸如直线的线段表示的人工智能模型来解决车道区域和非线区域之间的极端数据不平衡。 线或曲线。

著录项

  • 公开/公告号KR20210132496A

    专利类型

  • 公开/公告日2021-11-04

    原文格式PDF

  • 申请/专利权人 한국전자기술연구원;

    申请/专利号KR20200050966

  • 发明设计人 박민규;윤주홍;이민호;

    申请日2020-04-27

  • 分类号G06K9;G06K9/48;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 22:27:47

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