JP6571658B2 - 奥行分解された画像データからのオブジェクトを認識するための方法ならびに装置 - Google Patents
奥行分解された画像データからのオブジェクトを認識するための方法ならびに装置 Download PDFInfo
- Publication number
- JP6571658B2 JP6571658B2 JP2016539421A JP2016539421A JP6571658B2 JP 6571658 B2 JP6571658 B2 JP 6571658B2 JP 2016539421 A JP2016539421 A JP 2016539421A JP 2016539421 A JP2016539421 A JP 2016539421A JP 6571658 B2 JP6571658 B2 JP 6571658B2
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- 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.)
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Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
- G06V20/647—Three-dimensional objects by matching two-dimensional images to three-dimensional objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/20—Image signal generators
- H04N13/204—Image signal generators using stereoscopic image cameras
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/20—Image signal generators
- H04N13/271—Image signal generators wherein the generated image signals comprise depth maps or disparity maps
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/20—Image signal generators
- H04N13/275—Image signal generators from 3D object models, e.g. computer-generated stereoscopic image signals
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/10—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used
- B60R2300/107—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used using stereoscopic cameras
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/8093—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for obstacle warning
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Traffic Control Systems (AREA)
- Mechanical Engineering (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102013217915.4 | 2013-09-09 | ||
| DE102013217915.4A DE102013217915A1 (de) | 2013-09-09 | 2013-09-09 | Verfahren und Vorrichtung zur Objekterkennung aus tiefenaufgelösten Bilddaten |
| PCT/DE2014/200443 WO2015032399A1 (de) | 2013-09-09 | 2014-09-04 | Verfahren und vorrichtung zur objekterkennung aus tiefenaufgelösten bilddaten |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2016530639A JP2016530639A (ja) | 2016-09-29 |
| JP2016530639A5 JP2016530639A5 (enExample) | 2017-09-28 |
| JP6571658B2 true JP6571658B2 (ja) | 2019-09-04 |
Family
ID=51627909
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2016539421A Active JP6571658B2 (ja) | 2013-09-09 | 2014-09-04 | 奥行分解された画像データからのオブジェクトを認識するための方法ならびに装置 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US9870513B2 (enExample) |
| EP (1) | EP3044727B1 (enExample) |
| JP (1) | JP6571658B2 (enExample) |
| DE (2) | DE102013217915A1 (enExample) |
| WO (1) | WO2015032399A1 (enExample) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102015010514B4 (de) * | 2015-08-13 | 2019-06-13 | Audi Ag | Verfahren zur Ermittlung von Karteninformationen für einen Kartendatensatz einer Navigationsumgebung und Recheneinrichtung |
| US10466714B2 (en) * | 2016-09-01 | 2019-11-05 | Ford Global Technologies, Llc | Depth map estimation with stereo images |
| KR101907883B1 (ko) * | 2017-05-10 | 2018-10-16 | 국방과학연구소 | 객체 검출 및 분류 방법 |
| DE102018209388A1 (de) * | 2018-06-13 | 2019-12-19 | Robert Bosch Gmbh | Erkennung fahrtrelevanter Situationen auf größere Entfernung |
| ES2882402T3 (es) | 2018-07-09 | 2021-12-01 | Argo Ai Gmbh | Método para estimar una posición relativa de un objeto en el entorno de una unidad de vehículo y unidad de control electrónico para un vehículo y vehículo |
| US11514594B2 (en) | 2019-10-30 | 2022-11-29 | Vergence Automation, Inc. | Composite imaging systems using a focal plane array with in-pixel analog storage elements |
| US11462041B2 (en) * | 2019-12-23 | 2022-10-04 | Zoox, Inc. | Pedestrians with objects |
| JP7655918B2 (ja) * | 2019-12-23 | 2025-04-02 | ズークス インコーポレイテッド | オブジェクトを伴う歩行者 |
| US11789155B2 (en) | 2019-12-23 | 2023-10-17 | Zoox, Inc. | Pedestrian object detection training |
| US12230649B2 (en) | 2020-05-19 | 2025-02-18 | Vergence Automation, Inc. | AI system on chip (SOC) for robotics vision applications |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05265547A (ja) * | 1992-03-23 | 1993-10-15 | Fuji Heavy Ind Ltd | 車輌用車外監視装置 |
| 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 |
| DE10336638A1 (de) | 2003-07-25 | 2005-02-10 | Robert Bosch Gmbh | Vorrichtung zur Klassifizierung wengistens eines Objekts in einem Fahrzeugumfeld |
| DE502004005375D1 (de) | 2003-07-25 | 2007-12-13 | Bosch Gmbh Robert | Vorrichtung zur klassifizierung wenigstens eines objekts in einem fahrzeugumfeld |
| US7558762B2 (en) * | 2004-08-14 | 2009-07-07 | Hrl Laboratories, Llc | Multi-view cognitive swarm for object recognition and 3D tracking |
| EP1892149B1 (en) | 2006-08-24 | 2009-02-04 | Harman Becker Automotive Systems GmbH | Method for imaging the surrounding of a vehicle and system therefor |
| EP2026246A1 (en) * | 2007-08-03 | 2009-02-18 | Harman/Becker Automotive Systems GmbH | Method and apparatus for evaluating an image |
| US8401225B2 (en) * | 2011-01-31 | 2013-03-19 | Microsoft Corporation | Moving object segmentation using depth images |
| JP5693994B2 (ja) * | 2011-02-16 | 2015-04-01 | 富士重工業株式会社 | 車両検出装置 |
| DE102011101246A1 (de) | 2011-05-11 | 2012-11-15 | Conti Temic Microelectronic Gmbh | Redudante objektdetektion für fahrerassistenzsysteme |
| JP5516998B2 (ja) * | 2011-06-09 | 2014-06-11 | アイシン精機株式会社 | 画像生成装置 |
| DE102012113009A1 (de) | 2012-12-21 | 2014-06-26 | Jenoptik Robot Gmbh | Verfahren zum automatischen Klassifizieren von sich bewegenden Fahrzeugen |
| CN104217208B (zh) * | 2013-06-03 | 2018-01-16 | 株式会社理光 | 目标检测方法和装置 |
-
2013
- 2013-09-09 DE DE102013217915.4A patent/DE102013217915A1/de not_active Withdrawn
-
2014
- 2014-09-04 JP JP2016539421A patent/JP6571658B2/ja active Active
- 2014-09-04 EP EP14777256.0A patent/EP3044727B1/de active Active
- 2014-09-04 US US14/902,176 patent/US9870513B2/en active Active
- 2014-09-04 DE DE112014002562.3T patent/DE112014002562A5/de not_active Withdrawn
- 2014-09-04 WO PCT/DE2014/200443 patent/WO2015032399A1/de not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| EP3044727B1 (de) | 2022-01-19 |
| DE102013217915A1 (de) | 2015-03-12 |
| DE112014002562A5 (de) | 2016-03-03 |
| EP3044727A1 (de) | 2016-07-20 |
| JP2016530639A (ja) | 2016-09-29 |
| US20160371549A1 (en) | 2016-12-22 |
| US9870513B2 (en) | 2018-01-16 |
| WO2015032399A1 (de) | 2015-03-12 |
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