CN114531913A - 车道线检测方法、相关设备及计算机可读存储介质 - Google Patents

车道线检测方法、相关设备及计算机可读存储介质 Download PDF

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CN114531913A
CN114531913A CN202080006576.2A CN202080006576A CN114531913A CN 114531913 A CN114531913 A CN 114531913A CN 202080006576 A CN202080006576 A CN 202080006576A CN 114531913 A CN114531913 A CN 114531913A
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point
lane line
target pixel
pixel point
points
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CN202080006576.2A
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屈展
金欢
夏晗
彭凤超
杨臻
张维
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/588Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • G06T2207/30256Lane; Road marking

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)

Abstract

一种车道线检测方法、相关设备及计算机可读存储介质,该方法可以包括如下步骤:首先,获取待识别的车道线图像(S400);然后,基于车道线图像,确定用于识别车道线区域的候选像素点,得到候选点集(S402);车道线区域为车道线图像中车道线所在位置的区域以及车道线所在位置的周边区域;之后,在候选点集中选择目标像素点,并获取目标像素点在邻域内关联的至少三个位置点;至少三个位置点在同一条车道线上(S404);最后,以目标像素点为起点,根据目标像素点关联的至少三个位置点进行扩展,获取目标像素点对应的车道线点集(S406)。实施本方法,可以快速、准确地识别出车道线图像中的车道线。

Description

PCT国内申请,说明书已公开。

Claims (15)

  1. PCT国内申请,权利要求书已公开。
CN202080006576.2A 2020-09-09 2020-09-09 车道线检测方法、相关设备及计算机可读存储介质 Pending CN114531913A (zh)

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PCT/CN2020/114289 WO2022051951A1 (zh) 2020-09-09 2020-09-09 车道线检测方法、相关设备及计算机可读存储介质

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US (1) US20230215191A1 (zh)
EP (1) EP4202759A4 (zh)
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115131968A (zh) * 2022-06-28 2022-09-30 重庆长安汽车股份有限公司 一种基于车道线点集与注意力机制的匹配融合方法
CN115471708A (zh) * 2022-09-27 2022-12-13 禾多科技(北京)有限公司 车道线类型信息生成方法、装置、设备和计算机可读介质

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116091648B (zh) * 2023-02-09 2023-12-01 禾多科技(北京)有限公司 车道线的生成方法及装置、存储介质及电子装置

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5926080B2 (ja) * 2012-03-19 2016-05-25 株式会社日本自動車部品総合研究所 走行区画線認識装置およびプログラム
CN103839264B (zh) * 2014-02-25 2016-09-14 中国科学院自动化研究所 一种车道线的检测方法
CN109583280A (zh) * 2017-09-29 2019-04-05 比亚迪股份有限公司 车道线识别方法、装置、设备及存储介质
CN108875603B (zh) * 2018-05-31 2021-06-04 上海商汤智能科技有限公司 基于车道线的智能驾驶控制方法和装置、电子设备
CN109147368A (zh) * 2018-08-22 2019-01-04 北京市商汤科技开发有限公司 基于车道线的智能驾驶控制方法装置与电子设备
CN111126106B (zh) * 2018-10-31 2023-09-05 沈阳美行科技股份有限公司 一种车道线识别方法和装置
CN109740469B (zh) * 2018-12-24 2021-01-22 百度在线网络技术(北京)有限公司 车道线检测方法、装置、计算机设备和存储介质

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115131968A (zh) * 2022-06-28 2022-09-30 重庆长安汽车股份有限公司 一种基于车道线点集与注意力机制的匹配融合方法
CN115131968B (zh) * 2022-06-28 2023-07-11 重庆长安汽车股份有限公司 一种基于车道线点集与注意力机制的匹配融合方法
CN115471708A (zh) * 2022-09-27 2022-12-13 禾多科技(北京)有限公司 车道线类型信息生成方法、装置、设备和计算机可读介质
CN115471708B (zh) * 2022-09-27 2023-09-12 禾多科技(北京)有限公司 车道线类型信息生成方法、装置、设备和计算机可读介质

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WO2022051951A1 (zh) 2022-03-17
EP4202759A4 (en) 2023-10-25
US20230215191A1 (en) 2023-07-06

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