DE112018003499A5 - Verfahren und Vorrichtung zum Erkennen von Fahrspuren, Fahrerassistenzsystem und Fahrzeug - Google Patents
Verfahren und Vorrichtung zum Erkennen von Fahrspuren, Fahrerassistenzsystem und Fahrzeug Download PDFInfo
- Publication number
- DE112018003499A5 DE112018003499A5 DE112018003499.2T DE112018003499T DE112018003499A5 DE 112018003499 A5 DE112018003499 A5 DE 112018003499A5 DE 112018003499 T DE112018003499 T DE 112018003499T DE 112018003499 A5 DE112018003499 A5 DE 112018003499A5
- Authority
- DE
- Germany
- Prior art keywords
- vehicle
- assistance system
- driver assistance
- recognizing lanes
- lanes
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
- G06T2207/30256—Lane; Road marking
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017216802.1 | 2017-09-22 | ||
DE102017216802.1A DE102017216802A1 (de) | 2017-09-22 | 2017-09-22 | Verfahren und vorrichtung zum erkennen von fahrspuren, fahrerassistenzsystem und fahrzeug |
PCT/DE2018/200078 WO2019057252A1 (de) | 2017-09-22 | 2018-08-31 | Verfahren und vorrichtung zum erkennen von fahrspuren, fahrerassistenzsystem und fahrzeug |
Publications (1)
Publication Number | Publication Date |
---|---|
DE112018003499A5 true DE112018003499A5 (de) | 2020-04-30 |
Family
ID=63637607
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DE102017216802.1A Withdrawn DE102017216802A1 (de) | 2017-09-22 | 2017-09-22 | Verfahren und vorrichtung zum erkennen von fahrspuren, fahrerassistenzsystem und fahrzeug |
DE112018003499.2T Pending DE112018003499A5 (de) | 2017-09-22 | 2018-08-31 | Verfahren und Vorrichtung zum Erkennen von Fahrspuren, Fahrerassistenzsystem und Fahrzeug |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DE102017216802.1A Withdrawn DE102017216802A1 (de) | 2017-09-22 | 2017-09-22 | Verfahren und vorrichtung zum erkennen von fahrspuren, fahrerassistenzsystem und fahrzeug |
Country Status (5)
Country | Link |
---|---|
US (1) | US11417117B2 (de) |
JP (1) | JP2020534600A (de) |
CN (1) | CN111066024A (de) |
DE (2) | DE102017216802A1 (de) |
WO (1) | WO2019057252A1 (de) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112164228A (zh) * | 2020-09-15 | 2021-01-01 | 深圳市点创科技有限公司 | 驾驶电动车未佩戴头盔行为检测方法、电子设备、存储介质 |
Family Cites Families (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH08202877A (ja) * | 1995-01-31 | 1996-08-09 | Toyota Motor Corp | 画像認識装置 |
DE19926559A1 (de) | 1999-06-11 | 2000-12-21 | Daimler Chrysler Ag | Verfahren und Vorrichtung zur Detektion von Objekten im Umfeld eines Straßenfahrzeugs bis in große Entfernung |
DE10127034A1 (de) * | 2001-06-02 | 2002-12-05 | Opel Adam Ag | Verfahren und Vorrichtung zur Ermittlung eines Spurverlaufs einer Fahrbahn |
US8452053B2 (en) | 2008-04-24 | 2013-05-28 | GM Global Technology Operations LLC | Pixel-based texture-rich clear path detection |
US8670592B2 (en) * | 2008-04-24 | 2014-03-11 | GM Global Technology Operations LLC | Clear path detection using segmentation-based method |
US8773535B2 (en) | 2010-12-08 | 2014-07-08 | GM Global Technology Operations LLC | Adaptation for clear path detection using reliable local model updating |
EP2549408A1 (de) * | 2011-07-20 | 2013-01-23 | Delphi Technologies, Inc. | Verfahren zur Detektion und Klassifikation von Objekten |
DE102011111856B4 (de) * | 2011-08-27 | 2019-01-10 | Volkswagen Aktiengesellschaft | Verfahren und Vorrichtung zur Detektion mindestens einer Fahrspur in einem Fahrzeugumfeld |
DE102011122310A1 (de) * | 2011-12-23 | 2015-06-18 | Daimler Ag | Verfahren und Vorrichtung zur Erkennung von Fahrspurmarkierungen |
JP6185418B2 (ja) * | 2014-03-27 | 2017-08-23 | トヨタ自動車株式会社 | 走路境界区画線検出装置 |
JP6141788B2 (ja) * | 2014-04-14 | 2017-06-07 | 本田技研工業株式会社 | レーンマーク認識装置 |
CN104036253A (zh) * | 2014-06-20 | 2014-09-10 | 智慧城市系统服务(中国)有限公司 | 一种车道线追踪方法及系统 |
DE102015209467A1 (de) | 2015-05-22 | 2016-11-24 | Continental Teves Ag & Co. Ohg | Verfahren zur Schätzung von Fahrstreifen |
US9884623B2 (en) * | 2015-07-13 | 2018-02-06 | GM Global Technology Operations LLC | Method for image-based vehicle localization |
CN105046235B (zh) * | 2015-08-03 | 2018-09-07 | 百度在线网络技术(北京)有限公司 | 车道线的识别建模方法和装置、识别方法和装置 |
CN105260699B (zh) * | 2015-09-10 | 2018-06-26 | 百度在线网络技术(北京)有限公司 | 一种车道线数据的处理方法及装置 |
US10124730B2 (en) | 2016-03-17 | 2018-11-13 | Ford Global Technologies, Llc | Vehicle lane boundary position |
CN111542860A (zh) * | 2016-12-30 | 2020-08-14 | 迪普迈普有限公司 | 用于自主车辆的高清地图的标志和车道创建 |
CN107092862A (zh) * | 2017-03-16 | 2017-08-25 | 浙江零跑科技有限公司 | 一种基于卷积神经网络的车道边缘检测方法 |
US10401866B2 (en) * | 2017-05-03 | 2019-09-03 | GM Global Technology Operations LLC | Methods and systems for lidar point cloud anomalies |
US10634317B2 (en) * | 2017-08-03 | 2020-04-28 | Toyota Motor Engineering & Manufacturing North America, Inc. | Dynamic control of vehicle lamps during maneuvers |
-
2017
- 2017-09-22 DE DE102017216802.1A patent/DE102017216802A1/de not_active Withdrawn
-
2018
- 2018-08-31 CN CN201880054786.1A patent/CN111066024A/zh active Pending
- 2018-08-31 US US16/643,973 patent/US11417117B2/en active Active
- 2018-08-31 DE DE112018003499.2T patent/DE112018003499A5/de active Pending
- 2018-08-31 WO PCT/DE2018/200078 patent/WO2019057252A1/de active Application Filing
- 2018-08-31 JP JP2020514970A patent/JP2020534600A/ja active Pending
Also Published As
Publication number | Publication date |
---|---|
DE102017216802A1 (de) | 2019-03-28 |
US20200410256A1 (en) | 2020-12-31 |
CN111066024A (zh) | 2020-04-24 |
JP2020534600A (ja) | 2020-11-26 |
WO2019057252A1 (de) | 2019-03-28 |
US11417117B2 (en) | 2022-08-16 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
R081 | Change of applicant/patentee |
Owner name: CONTINENTAL AUTONOMOUS MOBILITY GERMANY GMBH, DE Free format text: FORMER OWNER: CONTINENTAL TEVES AG & CO. OHG, 60488 FRANKFURT, DE |
|
R079 | Amendment of ipc main class |
Free format text: PREVIOUS MAIN CLASS: G06K0009620000 Ipc: G06V0030190000 |
|
R081 | Change of applicant/patentee |
Owner name: CONTINENTAL AUTONOMOUS MOBILITY GERMANY GMBH, DE Free format text: FORMER OWNER: CONTINENTAL TEVES AG & CO. OHG, 60488 FRANKFURT, DE |