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IN2015KN00489A - - Google Patents

Info

Publication number
IN2015KN00489A
IN2015KN00489A IN489KON2015A IN2015KN00489A IN 2015KN00489 A IN2015KN00489 A IN 2015KN00489A IN 489KON2015 A IN489KON2015 A IN 489KON2015A IN 2015KN00489 A IN2015KN00489 A IN 2015KN00489A
Authority
IN
India
Prior art keywords
unit
vehicle
detection sensitivity
lens
periphery
Prior art date
Application number
Inventor
Irie Kota
Takemura Masayuki
Muramatsu Shoji
Hayakawa Yasuhisa
Fukata Osamu
Kiyohara Masahiro
Utagawa Akira
Original Assignee
Clarion Co Ltd
Nissan Motor
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Clarion Co Ltd, Nissan Motor filed Critical Clarion Co Ltd
Publication of IN2015KN00489A publication Critical patent/IN2015KN00489A/en

Links

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
    • 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)
  • Signal Processing (AREA)
  • Optics & Photonics (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

This vehicle-mounted image recognition device reliably detects moving bodies from the captured images even when the lens is dirty. An image capturing unit (10) arranged in the local vehicle (5) observes the periphery of the local vehicle (5) through a lens (12) and converts to an image signal the optical signal of the observed periphery of the local vehicle (5). From the images captured by the image capturing unit (10), a vehicle detection unit (70) (image recognition application execution unit) detects other vehicles (6) (moving bodies) present in the periphery of the local vehicle (5) with a prescribed detection sensitivity. Depending on how high the white turbidity (U) is, a detection sensitivity adjustment unit (50) adjusts the detection sensitivity of the vehicle detection unit (70) in the direction for improving the detection sensitivity. An adhesion degree calculation unit (26) calculates the adhesion degree (M) of adhering matter such as water droplets or mud adhering to the lens (12), and corrections are made on the basis of said adhesion degree (M) in said detection sensitivity adjustment unit (50).
IN489KON2015 2012-07-27 2013-07-19 IN2015KN00489A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2012167702 2012-07-27
PCT/JP2013/069667 WO2014017403A1 (en) 2012-07-27 2013-07-19 Vehicle-mounted image recognition device

Publications (1)

Publication Number Publication Date
IN2015KN00489A true IN2015KN00489A (en) 2015-07-17

Family

ID=49997216

Family Applications (1)

Application Number Title Priority Date Filing Date
IN489KON2015 IN2015KN00489A (en) 2012-07-27 2013-07-19

Country Status (10)

Country Link
US (1) US9288381B2 (en)
EP (1) EP2879370B1 (en)
JP (1) JP6126094B2 (en)
CN (1) CN104509090B (en)
BR (1) BR112015001872B1 (en)
IN (1) IN2015KN00489A (en)
MX (1) MX341857B (en)
MY (1) MY184347A (en)
RU (1) RU2573110C1 (en)
WO (1) WO2014017403A1 (en)

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JP6476921B2 (en) * 2015-01-29 2019-03-06 住友電気工業株式会社 Dangerous vehicle detection system and in-vehicle information processing apparatus
KR101757263B1 (en) * 2015-07-08 2017-07-12 현대자동차주식회사 Apparatus and method for detecting object of short range, vehicle using the same
JP6644509B2 (en) * 2015-10-01 2020-02-12 アルパイン株式会社 Vehicle detection alarm device and vehicle detection alarm method
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US11176698B2 (en) 2016-03-30 2021-11-16 Nec Corporation Analysis apparatus, analysis method, and storage medium
EP3493536B1 (en) * 2016-07-27 2022-10-12 Kyocera Corporation Detection device, image pickup device, movable body, and detection method
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 (en) * 2016-10-24 2020-09-16 株式会社デンソーテン Adhesion detection device and deposit detection method
US11034295B2 (en) * 2017-02-02 2021-06-15 Magna Electronics Inc. Vehicle vision system using at least two cameras
JP7112181B2 (en) * 2017-03-24 2022-08-03 株式会社Ｓｃｒｅｅｎホールディングス Image processing method and image processing apparatus
JP6832224B2 (en) * 2017-04-28 2021-02-24 株式会社デンソーテン Adhesion detection device and deposit detection method
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JP7210882B2 (en) * 2018-01-30 2023-01-24 株式会社デンソーテン Attached matter detection device and attached matter detection method
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JP7163766B2 (en) * 2018-12-28 2022-11-01 株式会社デンソーテン Attached matter detection device and attached matter detection method
JP2020109541A (en) * 2018-12-28 2020-07-16 株式会社デンソーテン Attachment detection device and attachment detection method
JP7234630B2 (en) * 2018-12-28 2023-03-08 株式会社デンソーテン Deposit detection device
US11257375B2 (en) * 2018-12-31 2022-02-22 Ficosa Adas, S.L.U. Method and system for detecting objects in a vehicle blind spot
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CN111583169A (en) * 2019-01-30 2020-08-25 杭州海康威视数字技术股份有限公司 Pollution treatment method and system for vehicle-mounted camera lens
CN113632450B (en) * 2019-03-26 2023-07-04 株式会社小糸制作所 Imaging system and image processing apparatus
CN113841188B (en) * 2019-05-13 2024-02-20 日本电信电话株式会社 Traffic flow estimating device, traffic flow estimating method, and storage medium
JP7151675B2 (en) * 2019-09-20 2022-10-12 株式会社デンソーテン Attached matter detection device and attached matter detection method
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Also Published As

Publication number Publication date
MY184347A (en) 2021-04-01
JP6126094B2 (en) 2017-05-10
CN104509090B (en) 2016-08-24
US9288381B2 (en) 2016-03-15
JPWO2014017403A1 (en) 2016-07-11
CN104509090A (en) 2015-04-08
RU2573110C1 (en) 2016-01-20
BR112015001872A2 (en) 2017-08-08
MX2015001004A (en) 2015-11-23
WO2014017403A1 (en) 2014-01-30
US20150201120A1 (en) 2015-07-16
EP2879370A1 (en) 2015-06-03
MX341857B (en) 2016-09-05
EP2879370B1 (en) 2020-09-02
EP2879370A4 (en) 2016-05-11
BR112015001872B1 (en) 2021-11-03

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