WO2004029877A2 - Verfahren und vorrichtung zur videobasierten beobachtung und vermessung der seitlichen umgebung eines fahrzeugs - Google Patents

Verfahren und vorrichtung zur videobasierten beobachtung und vermessung der seitlichen umgebung eines fahrzeugs Download PDF

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Publication number
WO2004029877A2
WO2004029877A2 PCT/EP2003/010456 EP0310456W WO2004029877A2 WO 2004029877 A2 WO2004029877 A2 WO 2004029877A2 EP 0310456 W EP0310456 W EP 0310456W WO 2004029877 A2 WO2004029877 A2 WO 2004029877A2
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WO
WIPO (PCT)
Prior art keywords
vehicle
camera
images
volume elements
image
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.)
Ceased
Application number
PCT/EP2003/010456
Other languages
German (de)
English (en)
French (fr)
Other versions
WO2004029877A3 (de
Inventor
Thomas BRÄUNL
Uwe Franke
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mercedes Benz Group AG
Original Assignee
DaimlerChrysler AG
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 DaimlerChrysler AG filed Critical DaimlerChrysler AG
Priority to US10/528,810 priority Critical patent/US7365831B2/en
Priority to JP2004538958A priority patent/JP4327726B2/ja
Priority to EP03753435A priority patent/EP1543475A2/de
Publication of WO2004029877A2 publication Critical patent/WO2004029877A2/de
Publication of WO2004029877A3 publication Critical patent/WO2004029877A3/de
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/593Depth or shape recovery from multiple images from stereo images
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/586Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of parking space

Definitions

  • the invention relates to a method and a device for video-based observation and measurement of the lateral surroundings around a road vehicle.
  • the first driver assistance systems available on the market require a compromise between the resolution of the scanning and the size of the detected area.
  • the radar sensors for an ACC application must be limited horizontally to a few degrees of detection area, while for a parking aid function in the detection of the surroundings, only a small range and resolution can be realized in addition to the vehicle using ultrasound.
  • Conventional video-based systems offer a good compromise between resolution and coverage, but they generally do not provide direct distance information.
  • a device for detecting the position of an agricultural vehicle carrying a scanning sensor is described in US Pat. No. 5,809,440 A1.
  • the track of the vehicle is tracked using a global navigation system (GPS).
  • GPS global navigation system
  • the scanning optical sensor used to record the growth does not provide any distance information, only a two-dimensional cartography of the background is achieved by lining up the sensor information.
  • stereo camera systems are increasingly being used, with the aid of which the object width can be calculated by means of the known geometric arrangement of the camera pair used.
  • stereo image processing an object is scanned from different directions with a pair of cameras. The distance between the stereo camera system and the object is then determined taking into account the camera positions and orientations as well as the camera parameters based on the principle of triangulation.
  • DE 199 26 559 A1 mentions a method and a device for the detection of objects in the vicinity of a road vehicle.
  • the distance to a moving vehicle is calculated by evaluating stereo image pairs and properties of the detected objects are determined.
  • distance-based image segmentation is carried out using stereo image processing.
  • Object recognition is then carried out in the segmented image areas.
  • EP 108 72 57 A2 an arrangement for fastening a stereo camera system in a vehicle is described, which is used to calculate a three-dimensional distance distribution for a viewed object.
  • the invention has for its object to provide a novel method for video-based observation and measurement of the lateral environment of a vehicle and a vehicle with a sensor system for performing the method according to the preambles of claims 1 and 15, which has a high mechanical robustness and without can adjust high effort.
  • the object is achieved according to the invention by a method and a device with the features of claims 1 and 15.
  • the observation and measurement of the lateral surroundings of a vehicle takes place, primarily for the detection of parking spaces, on the one hand by means of a camera with which digital images are recorded and on the other hand by means of a DV unit which serves to provide the digital images with a time stamp and cache.
  • the device further comprises a unit for detecting the vehicle's own movement in order to select image pairs on the basis of this data from the temporarily stored images.
  • a further means is provided to determine the position and orientation of the camera present at the two recording times. Using an algorithm for stereo image processing, a local 3D depth image can be generated on the basis of the image pair, taking into account the position and orientation of the camera at the time of recording as part of a synthetic stereo geometry.
  • the novel design of the subject matter of the invention makes this possible dynamic scenarios, such as capturing the side 3D geometry to the edge of the lane from the perspective of the actively dynamic vehicle and evaluating it to its advantage when parking.
  • the inventive monocular camera system in conjunction with the method according to the invention offers the advantage of a significantly smaller space requirement.
  • such a system represents an advantageous solution for integration into the vehicle and additionally offers the advantage of comparatively low costs by dispensing with a second camera.
  • the mechanical robustness of monocular camera systems is comparatively higher than that of stereo cameras.
  • Another advantage that single camera systems offer is a significantly reduced effort in assembly and adjustment.
  • the images to be selected for image pairs need not necessarily be two immediately successive image recordings.
  • the time stamp should ideally be selected in such a way that the time difference, taking into account the vehicle's own speed, corresponds to a fixed distance (stereo basis).
  • the distance (stereo base) should preferably be selected such that it is in a range between 0.2 m and 1 m, depending on the current speed at the time of two image recordings. Since the average vehicle speed when parking a road vehicle is approx.
  • the object of the invention can be used in a particularly advantageous manner with the aim of accumulating a global 3D depth view from the sequence of local 3D depth views obtained by means of the image pairs.
  • the image data of the individual local 3D depth views which are to be assigned to the same location points of the surroundings of the vehicle, are added together and stored in a geometric data structure.
  • the geometric data structure is continuously expanded in the same direction according to the direction of travel of the vehicle by the newly added image areas.
  • the image data of the respective local location points to be added for a global 3D depth view are subjected to a weighting before the accumulation. Because of this weighting, the noise generated during accumulation can be reduced by subsequently filtering individual pixels.
  • the volume displayed as part of the weighting by means of the accumulated 3D depth views is divided into individual volume elements and the pixels to be added are distributed to the volume elements.
  • All volume elements preferably comprise a predefined, uniform volume, for example in the form of cubes.
  • each node uses a 3D key to distribute the volume of the stored volumes to eight subtrees (volume elements).
  • volume elements are assigned the number of pixels within the individual volume elements as a weight. For this reason, the weight of the volume elements is stored in the tree structure in addition to the data of the pixels. It is particularly advantageous to determine the average weight of all volume elements and thus to determine a total weight.
  • a threshold value is formed with the total weight, on the basis of which a decision is made as to whether the pixels contained in the individual volume elements are taken into account in further processing. Only those image points are considered in which the volume element assigned to them has a weight that is equal to or greater than the threshold value. In an advantageous manner, only those volume elements that contain pixels are used to determine the total weight.
  • the object of the invention can be used in a particularly advantageous manner with the aim of forming the threshold value by multiplying the total weight by a tuning factor.
  • a tuning factor 1.5, the number of pixels per image was reduced from 46013 to 29792.
  • the camera used in the context of the invention can be a camera which is part of another image recording system already present in the vehicle.
  • the figure shows an example of a traffic scenario using the device according to the invention, for video-based observation and measurement of the lateral surroundings around a road vehicle (10).
  • the measurement of the lateral 3D geometry of a moving vehicle to the edge of the road is used here to measure a parking space.
  • a parking vehicle (40), a guardrail can be parked at the edge of the road . 501 or be . liehi ⁇ p _nHoro r.hiol. , _. , On w; - -; - t. . _....; - .. ...... -J - ⁇ r __.-_. _i - T - - ⁇ ⁇ __.
  • a monocular camera (30) is installed in the road vehicle (10) in connection with a computer unit.
  • the camera (30) is aligned such that the angle between its optical axis and the direction of travel (20) is ideally 90 °.
  • the possible orientation of the camera (30) is not limited to the orientation perpendicular to the direction of travel (20), but can also be aimed at areas to be recorded at an angle of 45 ° - 135 ° to the direction of travel (20).
  • the variation of the orientation of the camera can be used in an advantageous manner in particular for different design options with regard to the integration into the overall vehicle.
  • the image sequence resulting from the movement of the vehicle (10) when recording with the camera (30) is provided with time stamps by means of the computer unit and temporarily stored.
  • An algorithm for stereo image processing is used to generate a 3D image of the parking space from the temporarily stored images, taking into account the vehicle's own movement (10). Based on the 3D information, it can be decided, taking into account a defined parking strategy, whether the 3D space detected is suitable for parking the vehicle and, in particular, sufficient space is available for parking.
  • the object of the invention is also suitable for other uses in road traffic.
  • the invention is also profitably suitable for use as a warning system which measures the lateral distance of a vehicle from the edge of the road and warns the driver when the distance falls below a minimum, analogously to the exemplary embodiment mentioned above.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Traffic Control Systems (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Measurement Of Optical Distance (AREA)
  • Closed-Circuit Television Systems (AREA)
PCT/EP2003/010456 2002-09-23 2003-09-19 Verfahren und vorrichtung zur videobasierten beobachtung und vermessung der seitlichen umgebung eines fahrzeugs Ceased WO2004029877A2 (de)

Priority Applications (3)

Application Number Priority Date Filing Date Title
US10/528,810 US7365831B2 (en) 2002-09-23 2003-09-19 Method and device for video-based observation and measurement of the lateral environment of a vehicle
JP2004538958A JP4327726B2 (ja) 2002-09-23 2003-09-19 車両の側方周囲の、ビデオベースの監視及び測定のための方法及び装置
EP03753435A EP1543475A2 (de) 2002-09-23 2003-09-19 Verfahren und vorrichtung zur videobasierten beobachtung und vermessung der seitlichen umgebung eines fahrzeugs

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10244148A DE10244148A1 (de) 2002-09-23 2002-09-23 Verfahren und Vorrichtung zur videobasierten Beobachtung und Vermessung der seitlichen Umgebung eines Fahrzeugs
DE10244148.0 2002-09-23

Publications (2)

Publication Number Publication Date
WO2004029877A2 true WO2004029877A2 (de) 2004-04-08
WO2004029877A3 WO2004029877A3 (de) 2004-06-10

Family

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Application Number Title Priority Date Filing Date
PCT/EP2003/010456 Ceased WO2004029877A2 (de) 2002-09-23 2003-09-19 Verfahren und vorrichtung zur videobasierten beobachtung und vermessung der seitlichen umgebung eines fahrzeugs

Country Status (5)

Country Link
US (1) US7365831B2 (enExample)
EP (1) EP1543475A2 (enExample)
JP (1) JP4327726B2 (enExample)
DE (1) DE10244148A1 (enExample)
WO (1) WO2004029877A2 (enExample)

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JP2006236094A (ja) * 2005-02-25 2006-09-07 Toyota Motor Corp 障害物認識システム
DE102010011629A1 (de) 2010-03-16 2011-01-05 Daimler Ag Verfahren zur Umgebungsrepräsentation eines Fahrzeugs
US8121350B2 (en) 2006-12-29 2012-02-21 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Apparatus, method and computer program for determining a position on the basis of a camera image from a camera
DE102011113016A1 (de) 2011-09-09 2012-03-29 Daimler Ag Verfahren zur Umgebungsrepräsentation eines Fahrzeugs
WO2012003941A3 (de) * 2010-07-06 2012-04-26 Daimler Ag Verfahren und vorrichtung zur erfassung eines seitlichen umfeldes eines fahrzeuges
ITTO20101060A1 (it) * 2010-12-24 2012-06-25 Magneti Marelli Spa Sistema e procedimento di rivelazione di uno spazio di parcheggio per un veicolo
CN109959919A (zh) * 2017-12-22 2019-07-02 比亚迪股份有限公司 汽车及单目摄像头测距方法、装置

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DE10260555A1 (de) * 2002-12-21 2004-07-01 Eads Radio Communication Systems Gmbh & Co.Kg System zur Hinderniswarnung für spurgeführte Fahrzeuge
CN101132965B (zh) * 2005-03-03 2010-09-29 大陆-特韦斯贸易合伙股份公司及两合公司 用于在车辆变换车道时避免碰撞的方法和装置
DE102005015463B4 (de) 2005-04-04 2007-02-15 Magna Donnelly Gmbh & Co. Kg Fahrzeug mit Distanzkontrollsystem
DE102005022882A1 (de) * 2005-05-18 2006-11-23 Volkswagen Ag Verfahren und Vorrichtung zur Parkraumvermessung mittels einer Monokamera
JP4600760B2 (ja) * 2005-06-27 2010-12-15 アイシン精機株式会社 障害物検出装置
DE102006011590B4 (de) * 2006-03-10 2019-02-28 Adc Automotive Distance Control Systems Gmbh Vorrichtung zum Vermessen einer Parklücke
FR2921324B1 (fr) * 2007-09-25 2010-02-05 Renault Sas Procede et dispositif d'assistance au parcage d'un vehicule automobile
DE102008060684B4 (de) * 2008-03-28 2019-05-23 Volkswagen Ag Verfahren und Vorrichtung zum automatischen Einparken eines Kraftfahrzeugs
ATE533350T1 (de) * 2009-09-07 2011-12-15 Claas Agrosystems Gmbh & Co Kg Steuerungssystem eines landwirtschaftlichen fahrzeugs mit einem güterträger, landwirtschaftliches fahrzeug und verfahren zur steuerung eines güterträgers des landwirtschaftlichen fahrzeugs
US8451139B2 (en) * 2010-02-22 2013-05-28 Cnh America Llc System and method for coordinating harvester and transport vehicle unloading operations
DE102010011093A1 (de) * 2010-03-11 2011-09-15 Daimler Ag Verfahren zur Bestimmung einer Fahrzeugaufbaubewegung
DE102010019146A1 (de) 2010-05-03 2011-11-03 Daimler Ag Verfahren zur Erfassung einer Umgebung eines Fahrzeugs
US8471908B2 (en) * 2010-10-18 2013-06-25 GM Global Technology Operations LLC Three-dimensional mirror display system for a vehicle and method
DE102011083745B4 (de) * 2011-09-29 2019-01-10 Bayerische Motoren Werke Aktiengesellschaft Verfahren zum monokularen Motion-Stereo-basierten automatischen Vermessen von freien Parkplätzen, Computerprogrammprodukt und Vorrichtung
DE102011116169A1 (de) * 2011-10-14 2013-04-18 Continental Teves Ag & Co. Ohg Vorrichtung zur Unterstützung eines Fahrers beim Fahren eines Fahrzeugs oder zum autonomen Fahren eines Fahrzeugs
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US9280826B2 (en) * 2013-12-10 2016-03-08 GM Global Technologies Operations LLC Distance determination using a monoscopic imager in a vehicle
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DE102015205244B3 (de) 2015-03-24 2015-12-10 Bayerische Motoren Werke Aktiengesellschaft Verfahren zum Bereitstellen von Hinderniskarten für Fahrzeuge
JP6872128B2 (ja) * 2015-09-30 2021-05-19 ソニーグループ株式会社 情報処理装置、情報処理方法、およびプログラム
CN105451000B (zh) * 2015-12-27 2019-02-15 高田汽车电子(上海)有限公司 一种基于单目后视摄像头的车载全景环视系统及方法
DE102016104730A1 (de) * 2016-03-15 2017-09-21 Connaught Electronics Ltd. Verfahren zum Detektieren eines Objekts entlang einer Straße eines Kraftfahrzeugs, Rechenvorrichtung, Fahrerassistenzsystem sowie Kraftfahrzeug
CN106203272B (zh) * 2016-06-29 2018-07-20 上海小蚁科技有限公司 确定可移动对象的移动的方法和装置
CN109764858B (zh) * 2018-12-24 2021-08-06 中公高科养护科技股份有限公司 一种基于单目相机的摄影测量方法及系统
DE102020003662A1 (de) 2020-06-19 2020-08-06 Daimler Ag Verfahren zur Bestimmung einer Eigenbewegung mittels Lidar-Odometrie und Fahrzeug

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Publication number Priority date Publication date Assignee Title
JP2006236094A (ja) * 2005-02-25 2006-09-07 Toyota Motor Corp 障害物認識システム
US8121350B2 (en) 2006-12-29 2012-02-21 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Apparatus, method and computer program for determining a position on the basis of a camera image from a camera
DE102010011629A1 (de) 2010-03-16 2011-01-05 Daimler Ag Verfahren zur Umgebungsrepräsentation eines Fahrzeugs
WO2012003941A3 (de) * 2010-07-06 2012-04-26 Daimler Ag Verfahren und vorrichtung zur erfassung eines seitlichen umfeldes eines fahrzeuges
ITTO20101060A1 (it) * 2010-12-24 2012-06-25 Magneti Marelli Spa Sistema e procedimento di rivelazione di uno spazio di parcheggio per un veicolo
EP2468573A1 (en) * 2010-12-24 2012-06-27 Magneti Marelli S.p.A. A system and a method for detecting a parking slot for a vehicle
DE102011113016A1 (de) 2011-09-09 2012-03-29 Daimler Ag Verfahren zur Umgebungsrepräsentation eines Fahrzeugs
CN109959919A (zh) * 2017-12-22 2019-07-02 比亚迪股份有限公司 汽车及单目摄像头测距方法、装置
CN109959919B (zh) * 2017-12-22 2021-03-26 比亚迪股份有限公司 汽车及单目摄像头测距方法、装置

Also Published As

Publication number Publication date
US7365831B2 (en) 2008-04-29
WO2004029877A3 (de) 2004-06-10
EP1543475A2 (de) 2005-06-22
JP4327726B2 (ja) 2009-09-09
JP2006501542A (ja) 2006-01-12
DE10244148A1 (de) 2004-04-08
US20070165908A1 (en) 2007-07-19

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