MX341857B - Reconocedor de imagenes en vehiculo. - Google Patents
Reconocedor de imagenes en vehiculo.Info
- Publication number
- MX341857B MX341857B MX2015001004A MX2015001004A MX341857B MX 341857 B MX341857 B MX 341857B MX 2015001004 A MX2015001004 A MX 2015001004A MX 2015001004 A MX2015001004 A MX 2015001004A MX 341857 B MX341857 B MX 341857B
- Authority
- MX
- Mexico
- Prior art keywords
- vehicle
- unit
- detection sensitivity
- local
- lens
- Prior art date
Links
- 238000001514 detection method Methods 0.000 abstract 7
- 230000035945 sensitivity Effects 0.000 abstract 5
- 238000012937 correction Methods 0.000 abstract 1
- 230000003287 optical effect Effects 0.000 abstract 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/0006—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00 with means to keep optical surfaces clean, e.g. by preventing or removing dirt, stains, contamination, condensation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/002—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles specially adapted for covering the peripheral part of the vehicle, e.g. for viewing tyres, bumpers or the like
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/254—Analysis of motion involving subtraction of images
-
- 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
- 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
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- 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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
- H04N23/811—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation by dust removal, e.g. from surfaces of the image sensor or processing of the image signal output by the electronic image sensor
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- 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
- G06T2207/30261—Obstacle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Optics & Photonics (AREA)
- Signal Processing (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
- Studio Devices (AREA)
- Image Processing (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
Este dispositivo de reconocimiento de imágenes montado en vehículo detecta de manera fiable los cuerpos en movimiento de las imágenes capturadas, incluso cuando la lente está sucia. Una unidad (10) de captura de imágenes dispuesta en el vehículo (5) local observa la periferia del vehículo (5) local a través de una lente (12) y convierte en una señal de imagen la señal óptica de la periferia observada del vehículo (5) local. De las imágenes capturadas por la unidad (10) de captura de imágenes, una unidad (70) de detección de vehículo (unidad de ejecución de aplicación de reconocimiento de imagen) detecta otros vehículos (6) (cuerpos en movimiento) presentes en la periferia del vehículo (5) local con una sensibilidad de detección prescrita. Dependiendo de qué tan alta es la turbiedad blanca (U), una unidad (50) de ajuste de sensibilidad de detección ajusta la sensibilidad de detección de la unidad (70) de detección de vehículo en la dirección para mejorar la sensibilidad de detección. Una unidad (26) de cálculo de grado de adherencia calcula el grado de adhesión (M) de la materia adherida tal como gotas de agua o lodo que se adhiere a la lente (12), y las correcciones se hacen basándose en tal grado de adhesión (M) en tal unidad (50) de ajuste de sensibilidad de detección.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2012167702 | 2012-07-27 | ||
PCT/JP2013/069667 WO2014017403A1 (ja) | 2012-07-27 | 2013-07-19 | 車載用画像認識装置 |
Publications (2)
Publication Number | Publication Date |
---|---|
MX2015001004A MX2015001004A (es) | 2015-11-23 |
MX341857B true MX341857B (es) | 2016-09-05 |
Family
ID=49997216
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2015001004A MX341857B (es) | 2012-07-27 | 2013-07-19 | Reconocedor de imagenes en vehiculo. |
Country Status (10)
Country | Link |
---|---|
US (1) | US9288381B2 (es) |
EP (1) | EP2879370B1 (es) |
JP (1) | JP6126094B2 (es) |
CN (1) | CN104509090B (es) |
BR (1) | BR112015001872B1 (es) |
IN (1) | IN2015KN00489A (es) |
MX (1) | MX341857B (es) |
MY (1) | MY184347A (es) |
RU (1) | RU2573110C1 (es) |
WO (1) | WO2014017403A1 (es) |
Families Citing this family (40)
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CN104520913B (zh) * | 2012-07-03 | 2016-12-07 | 歌乐株式会社 | 车载环境识别装置 |
US9445057B2 (en) * | 2013-02-20 | 2016-09-13 | Magna Electronics Inc. | Vehicle vision system with dirt detection |
CN105393293B (zh) | 2013-07-18 | 2017-05-03 | 歌乐株式会社 | 车载装置 |
JP6380843B2 (ja) * | 2013-12-19 | 2018-08-29 | 株式会社リコー | 物体検出装置及びこれを備えた移動体機器制御システム並びに物体検出用プログラム |
CN106415598B (zh) * | 2014-05-27 | 2020-08-28 | 罗伯特·博世有限公司 | 用于车载式相机系统的镜头污染的检测、识别和缓解 |
CN104299244B (zh) * | 2014-09-26 | 2017-07-25 | 东软集团股份有限公司 | 基于单目相机的障碍物检测方法及装置 |
KR102263731B1 (ko) * | 2014-11-11 | 2021-06-11 | 현대모비스 주식회사 | 주변차량의 위치정보 보정 시스템 및 방법 |
JP6476921B2 (ja) * | 2015-01-29 | 2019-03-06 | 住友電気工業株式会社 | 危険車両検知システム及び車載情報処理装置 |
KR101757263B1 (ko) * | 2015-07-08 | 2017-07-12 | 현대자동차주식회사 | 근거리 물체 감지 장치 및 방법과 이를 이용한 차량 |
JP6644509B2 (ja) * | 2015-10-01 | 2020-02-12 | アルパイン株式会社 | 車両検知警報装置および車両検知警報方法 |
SE541846C2 (en) * | 2016-02-10 | 2019-12-27 | Scania Cv Ab | Method and control unit for rear view |
JP6217888B1 (ja) | 2016-03-30 | 2017-10-25 | 日本電気株式会社 | 解析装置、解析方法及びプログラム |
JP6655721B2 (ja) * | 2016-07-27 | 2020-02-26 | 京セラ株式会社 | 検出装置、撮像装置、移動体及び検出方法 |
EP3306523A1 (en) * | 2016-10-06 | 2018-04-11 | Continental Automotive GmbH | Device for determining a glare situation caused by a transparent screen of a vehicle |
EP3306522A1 (en) * | 2016-10-06 | 2018-04-11 | Continental Automotive GmbH | Device for determining a region of interest on and/or within a vehicle windscreen |
JP6755161B2 (ja) * | 2016-10-24 | 2020-09-16 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
US11034295B2 (en) * | 2017-02-02 | 2021-06-15 | Magna Electronics Inc. | Vehicle vision system using at least two cameras |
JP7112181B2 (ja) * | 2017-03-24 | 2022-08-03 | 株式会社Screenホールディングス | 画像処理方法および画像処理装置 |
JP6832224B2 (ja) * | 2017-04-28 | 2021-02-24 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
CN107317700B (zh) * | 2017-06-09 | 2020-06-30 | 湖北理工学院 | 车载边缘计算节点选择系统及方法 |
JP6772113B2 (ja) * | 2017-08-02 | 2020-10-21 | クラリオン株式会社 | 付着物検出装置、および、それを備えた車両システム |
JP6996200B2 (ja) * | 2017-09-29 | 2022-01-17 | 富士通株式会社 | 画像処理方法、画像処理装置、および画像処理プログラム |
EP3483781B1 (en) * | 2017-11-13 | 2021-10-06 | Continental Automotive GmbH | Device for detecting windshield blockage |
JP7210882B2 (ja) * | 2018-01-30 | 2023-01-24 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
US10691957B2 (en) * | 2018-02-12 | 2020-06-23 | ITS Plus, Inc. | Method for increasing the accuracy of traffic cameras using optical masking technology |
JP7234630B2 (ja) * | 2018-12-28 | 2023-03-08 | 株式会社デンソーテン | 付着物検出装置 |
JP7163766B2 (ja) * | 2018-12-28 | 2022-11-01 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
JP2020109541A (ja) * | 2018-12-28 | 2020-07-16 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
US11257375B2 (en) * | 2018-12-31 | 2022-02-22 | Ficosa Adas, S.L.U. | Method and system for detecting objects in a vehicle blind spot |
US10943129B2 (en) | 2019-01-04 | 2021-03-09 | Ford Global Technologies, Llc | Low-light sensor cleaning |
CN119048462A (zh) * | 2019-01-30 | 2024-11-29 | 杭州海康威视数字技术股份有限公司 | 一种车载相机镜头的污染处理方法及系统 |
CN113632450B (zh) * | 2019-03-26 | 2023-07-04 | 株式会社小糸制作所 | 摄影系统及图像处理装置 |
EP3971855B1 (en) * | 2019-05-13 | 2024-11-20 | Nippon Telegraph And Telephone Corporation | Traffic flow estimation apparatus, traffic flow estimation method, traffic flow estimation program, and storage medium storing traffic flow estimation program |
JP7151675B2 (ja) * | 2019-09-20 | 2022-10-12 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
JP7200894B2 (ja) * | 2019-09-20 | 2023-01-10 | 株式会社デンソーテン | 付着物検出装置および付着物検出方法 |
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EP2351351B1 (en) * | 2008-10-01 | 2015-09-16 | Connaught Electronics Limited | A method and a system for detecting the presence of an impediment on a lens of an image capture device to light passing through the lens of an image capture device |
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KR101042302B1 (ko) * | 2010-12-27 | 2011-06-17 | 위재영 | 차량 외부 영상 장치용 하우징 |
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JP6120395B2 (ja) * | 2012-07-03 | 2017-04-26 | クラリオン株式会社 | 車載装置 |
-
2013
- 2013-07-19 BR BR112015001872-6A patent/BR112015001872B1/pt active IP Right Grant
- 2013-07-19 JP JP2014526897A patent/JP6126094B2/ja active Active
- 2013-07-19 CN CN201380039863.3A patent/CN104509090B/zh active Active
- 2013-07-19 WO PCT/JP2013/069667 patent/WO2014017403A1/ja active Application Filing
- 2013-07-19 EP EP13823445.5A patent/EP2879370B1/en active Active
- 2013-07-19 US US14/416,851 patent/US9288381B2/en active Active
- 2013-07-19 RU RU2015106695/11A patent/RU2573110C1/ru active
- 2013-07-19 MX MX2015001004A patent/MX341857B/es active IP Right Grant
- 2013-07-19 MY MYPI2015000197A patent/MY184347A/en unknown
- 2013-07-19 IN IN489KON2015 patent/IN2015KN00489A/en unknown
Also Published As
Publication number | Publication date |
---|---|
MX2015001004A (es) | 2015-11-23 |
BR112015001872A2 (pt) | 2017-08-08 |
CN104509090B (zh) | 2016-08-24 |
EP2879370A4 (en) | 2016-05-11 |
WO2014017403A1 (ja) | 2014-01-30 |
US20150201120A1 (en) | 2015-07-16 |
RU2573110C1 (ru) | 2016-01-20 |
IN2015KN00489A (es) | 2015-07-17 |
EP2879370B1 (en) | 2020-09-02 |
US9288381B2 (en) | 2016-03-15 |
MY184347A (en) | 2021-04-01 |
JP6126094B2 (ja) | 2017-05-10 |
BR112015001872B1 (pt) | 2021-11-03 |
JPWO2014017403A1 (ja) | 2016-07-11 |
CN104509090A (zh) | 2015-04-08 |
EP2879370A1 (en) | 2015-06-03 |
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FG | Grant or registration |