CN109284664B - 驾驶员辅助系统和护栏检测方法 - Google Patents

驾驶员辅助系统和护栏检测方法 Download PDF

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CN109284664B
CN109284664B CN201810787842.4A CN201810787842A CN109284664B CN 109284664 B CN109284664 B CN 109284664B CN 201810787842 A CN201810787842 A CN 201810787842A CN 109284664 B CN109284664 B CN 109284664B
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guardrail
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CN109284664A (zh
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V·V·阿斯瓦塔纳拉亚南
V·S·巴度里亚
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Continental Zhixing Germany Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/165Anti-collision systems for passive traffic, e.g. including static obstacles, trees
    • 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
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/269Analysis of motion using gradient-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/277Analysis of motion involving stochastic approaches, e.g. using Kalman filters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/50Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • 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)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)
CN201810787842.4A 2017-07-20 2018-07-18 驾驶员辅助系统和护栏检测方法 Active CN109284664B (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017212418.0A DE102017212418A1 (de) 2017-07-20 2017-07-20 Fahrerassistenzsystem und -verfahren zur leitplankenerkennung
DE102017212418.0 2017-07-20

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CN109284664A CN109284664A (zh) 2019-01-29
CN109284664B true CN109284664B (zh) 2023-10-27

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DE (1) DE102017212418A1 (de)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110068321B (zh) * 2019-03-27 2020-04-24 清华大学 定点降落标志的uav相对位姿估计方法
CN111241900B (zh) * 2019-04-12 2021-02-05 宁夏爱特云翔信息技术有限公司 交通环境现场维护方法
KR102628027B1 (ko) 2019-09-10 2024-01-24 주식회사 에이치엘클레무브 객체 인식 장치 및 그 방법
CN111081033B (zh) * 2019-11-21 2021-06-01 北京百度网讯科技有限公司 车辆朝向角确定的方法及装置
CN112446314B (zh) * 2020-11-19 2022-07-29 武汉中海庭数据技术有限公司 一种基于投影图提取护栏高程的方法及系统
CN113344874B (zh) * 2021-06-04 2024-02-09 温州大学 一种基于高斯混合建模的行人越界检测方法
CN117090133A (zh) * 2023-08-23 2023-11-21 青岛迪乐普精密机械有限公司 一种护栏及其检测方法

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005322002A (ja) * 2004-05-07 2005-11-17 Kazuo Iwane 複合人工知能装置
JP2007183912A (ja) * 2005-12-06 2007-07-19 Nissan Motor Co Ltd 走路境界線検出装置、および走路境界線検出方法
JP2011010010A (ja) * 2009-06-25 2011-01-13 Sanyo Electric Co Ltd 画像再生装置及び撮像装置
CN103226835A (zh) * 2013-04-15 2013-07-31 北京大学深圳研究生院 基于在线初始化梯度增强回归树的目标跟踪方法及系统
CN105488811A (zh) * 2015-11-23 2016-04-13 华中科技大学 一种基于深度梯度的目标跟踪方法与系统
FR3035725A1 (fr) * 2015-04-28 2016-11-04 Bluecime Procede de detection de position de gardecorps de nacelles de telesiege par analyse d'image

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6533249B2 (en) * 1999-09-23 2003-03-18 Icom Engineering, Inc. Guardrail beam with improved edge region and method of manufacture
US20060041448A1 (en) * 2004-08-20 2006-02-23 Patterson Robbie L Number of new and unique manufacturing and assembley methods and processes to cost effectively refit and market legacy implements like "The Gilhoolie" presently names "The Wili Grip" TM
JP2011243154A (ja) * 2010-05-21 2011-12-01 Mitsubishi Electric Corp 車両検出装置及び車両検出方法
US9679196B2 (en) * 2013-02-27 2017-06-13 Hitachi Automotive Systems, Ltd. Object sensing device
JP5888275B2 (ja) * 2013-03-29 2016-03-16 アイシン・エィ・ダブリュ株式会社 道路端検出システム、方法およびプログラム
JP6295859B2 (ja) * 2014-07-08 2018-03-20 株式会社デンソー 車載システム、情報処理装置、及びプログラム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005322002A (ja) * 2004-05-07 2005-11-17 Kazuo Iwane 複合人工知能装置
JP2007183912A (ja) * 2005-12-06 2007-07-19 Nissan Motor Co Ltd 走路境界線検出装置、および走路境界線検出方法
JP2011010010A (ja) * 2009-06-25 2011-01-13 Sanyo Electric Co Ltd 画像再生装置及び撮像装置
CN103226835A (zh) * 2013-04-15 2013-07-31 北京大学深圳研究生院 基于在线初始化梯度增强回归树的目标跟踪方法及系统
FR3035725A1 (fr) * 2015-04-28 2016-11-04 Bluecime Procede de detection de position de gardecorps de nacelles de telesiege par analyse d'image
CN105488811A (zh) * 2015-11-23 2016-04-13 华中科技大学 一种基于深度梯度的目标跟踪方法与系统

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JP2019021317A (ja) 2019-02-07
JP7164342B2 (ja) 2022-11-01
CN109284664A (zh) 2019-01-29
DE102017212418A1 (de) 2019-01-24

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