EP3899915A1 - Procédé de validation de données d'image d'environnement, dispositif, programme d'ordinateur et support d'enregistrement lisible par ordinateur - Google Patents

Procédé de validation de données d'image d'environnement, dispositif, programme d'ordinateur et support d'enregistrement lisible par ordinateur

Info

Publication number
EP3899915A1
EP3899915A1 EP19824260.4A EP19824260A EP3899915A1 EP 3899915 A1 EP3899915 A1 EP 3899915A1 EP 19824260 A EP19824260 A EP 19824260A EP 3899915 A1 EP3899915 A1 EP 3899915A1
Authority
EP
European Patent Office
Prior art keywords
image data
comparison
probability value
display unit
cross correlation
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
Application number
EP19824260.4A
Other languages
German (de)
English (en)
Inventor
Torsten Lahr
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.)
Continental Automotive Technologies GmbH
Original Assignee
Continental Automotive GmbH
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 Continental Automotive GmbH filed Critical Continental Automotive GmbH
Publication of EP3899915A1 publication Critical patent/EP3899915A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
    • G09G2330/12—Test circuits or failure detection circuits included in a display system, as permanent part thereof
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/12—Overlay of images, i.e. displayed pixel being the result of switching between the corresponding input pixels
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2360/00—Aspects of the architecture of display systems
    • G09G2360/14—Detecting light within display terminals, e.g. using a single or a plurality of photosensors
    • G09G2360/145—Detecting light within display terminals, e.g. using a single or a plurality of photosensors the light originating from the display screen
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2360/00—Aspects of the architecture of display systems
    • G09G2360/16—Calculation or use of calculated indices related to luminance levels in display data
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2380/00—Specific applications
    • G09G2380/10—Automotive applications

Definitions

  • the invention relates to a method for validating transmitted image data, in particular in a motor vehicle, and a display unit.
  • the invention relates to the reliable display of safety-relevant information on a display unit.
  • the invention further relates to a computer program and a computer-readable storage medium.
  • a CRC (cyclic redundancy check) actual checksum is calculated over a defined image area to detect warning symbols. This checksum is then compared with a calculated target checksum. If there is an exact match, the symbol is recognized.
  • EP 2273369 B1 discloses a method for the safe display of security-relevant information, comprising: inputting at least one input variable into a computer unit, computer processing of the input variable in the computer unit to an image data sequence representing the input variable, forwarding the image data sequence to a display unit and displaying the image data sequence on the display unit, supplying the image data sequence to a test unit and performing a security check by computationally creating a test code for the image data sequence, comparing the test code with several comparison codes present in the test unit, Assigning the comparison code determined in this way to a corresponding possible value of the input variable and comparing it with the value of the input variable to form either a positive or negative test result in the test unit to initiate a safety-related reaction.
  • a precalculated CRC checksum is used as the comparison code.
  • DE 102007048608 A1 discloses a method for checking the validity of display signals, the display signals being generated from image data of a predetermined image, a defined range of image data being determined from the display signals, a test value being formed from the image data ascertained, wherein the determined test value is compared with a stored test value for the corresponding image and the validity of the display signals is only determined if the determined and the stored test value match.
  • This object is achieved by specifying a method for validating image data with the features of claim 1. Furthermore, the object is achieved by specifying a display unit with the features of claim 9. In addition, the object is achieved by specifying a vehicle with the characteristics of claim 11, by specifying a computer program with the characteristics of claim 12 and the Specification of a computer-readable storage medium with the features of claim 13.
  • the task is solved by specifying a method for validating transmitted image data with the steps:
  • the display unit can in particular be understood as the display unit of a vehicle. This can be the display of an entertainment system, for example.
  • the generation of the image data and transmission can be provided, for example, in a processor of the vehicle and / or in a control unit.
  • the comparison unit can be an electronic unit which is designed to receive image data and to compare it with reference image data.
  • image data can be understood to mean pixels which can be represented on the display unit.
  • the pixels can be divided into subpixels / light pixels, each of which has, for example, one of the three additive primary colors red, green and blue (RGB system).
  • RGB system red, green and blue
  • the image data thus preferably comprise regulations on how the individual pixel is to be represented.
  • image data includes information for the display device, which enables it to visually display the image data.
  • the image data can be information for the display of a warning symbol / symbol or a signature or a note (for example a tank symbol) or it can represent weather information (be careful snowfall).
  • the limit probability value can be set by the manufacturer, for example.
  • the expression “above a provided, predetermined limit probability value” can also include “equal to a provided, specified limit probability value”.
  • the transmission of data can be wired or wireless.
  • the method mentioned here tolerates minor transmission errors and changes in the image data through signal processing. Even with lossy compression to reduce the transmission bandwidth, reliable detection of the image data is still guaranteed. By checking a larger monitoring area, a slight shift of the symbols / sig natures can be tolerated.
  • the method can ignore minor errors in the image data as long as the image data is still recognizable.
  • the method is independent of a position change, e.g. by calibrating the image data to form a mechanical frame.
  • the image data is recognized regardless of the background as long as it is clearly different from it.
  • the image data is reliably discovered by the process. A premature replacement reaction, for example switching off the display unit, is avoided.
  • the method is preferably suitable for use in a motor vehicle.
  • the cross correlation is preferably designed as a normalized cross correlation or a non-normal cross correlation or a feature-based cross correlation or a pixel-based cross correlation.
  • a characteristic feature is added to the image data. This makes it easier to check the transmitted image data.
  • the image data are preferably formed as an identifier.
  • the identifier camera data (image), which are recorded by a sensor, is preferably added.
  • the identifier can be a clear, invisible pattern, for example a digital fingerprint (digital footprint) in the form of a checksum or other clear marking, which is added, for example, camera data / video data recorded by a sensor.
  • the image data are then checked for the presence of the identifier, for example the checksum, by means of cross correlation.
  • the camera data / video data shown on the display unit can be monitored for freezing by introducing the identifier, in particular in front of preferably alternating or changing identifiers at the same position.
  • the limit probability value is preferably weighted in relation to various image data. For example, a higher limit probability value can be provided for image data which represent warning notices for driving safety than for less safety-relevant warning notices.
  • the substitute reaction preferably comprises completely or partially switching off the display unit.
  • the replacement reaction comprises displaying an error message on the display unit and / or outputting a signal and / or text information.
  • the shutdown can be a shutdown of the lighting of the display unit and / or an end of the display of the image data on the display unit.
  • the display unit can also be reset. This can also be an audible error message at the same time or alternatively, for example a warning tone.
  • the object is further achieved by specifying a display unit comprising a comparison unit which is designed to compare transmitted image data with reference image data as to whether the reference image data is present in the transmitted image data, the comparison unit being designed to carry out the comparison by means of cross-correlation and using the To create a comparison probability value, the display unit being designed to display the transmitted image data when the comparison probability value lies above a provided, predetermined limit probability value and to output a replacement reaction when the comparison probability value is below the provided, predetermined limit probability value.
  • the display unit is designed to carry out the method described above.
  • the invention relates to a vehicle with a display unit as described above.
  • the vehicle is advantageously formed as a passenger car.
  • the object is further achieved by specifying a computer program comprising commands which cause the display unit as described above to carry out the method as described above. Furthermore, the object is achieved by specifying a computer-readable storage medium on which the computer program as described above is stored. The method can thus also be installed subsequently, for example in a vehicle.
  • the invention thus provides a method, a display unit, a vehicle, a computer program and a computer-readable storage medium for validating transmitted image data, in which the transmitted image data can be represented reliably and robustly, and an early replacement reaction can be avoided.
  • the displayed content can be symbols, barcodes, finger pints, characters etc.
  • FIG. 1 shows a flowchart of a method according to the invention in a first embodiment
  • FIG. 4 shows a vehicle according to the invention.
  • Image data are selected in a first step S1 by a control unit 4 (FIG. 4) in a driver assistance system 3 (FIG. 4).
  • the image data are assigned to pixels of a display unit 2 (FIG. 4).
  • the pixels can be divided into subpixels / light pixels, each of which has one of the three additive primary colors red, green and blue (RGB system).
  • RGB system the three additive primary colors red, green and blue
  • the color components red, green and blue are saved separately for each pixel.
  • the proportion of red, green and blue determines the final color.
  • Other representations are also possible.
  • image data thus include regulations on how the individual pixel is to be represented.
  • image data include information for the display device, which enables it to visually display the image data.
  • the image data can be information for the display of a warning symbol / symbol or a signature or a note (for example a tank symbol) or it can represent weather information (be careful snowfall).
  • a comparison unit 5 (FIG. 4), which comprises, for example, a graphics chip.
  • This transmission can be accomplished wirelessly or by means of a cable connection.
  • a wireless transmission can include, for example, WiFi, Bluetooth or infrared transmission.
  • camera image data can also be provided for display (for example a street map) or a surrounding image, these camera image data also being converted into pixels for display on the display unit 2 (FIG. 4).
  • the transmitted image data are then to be displayed with this camera image data on the display unit 2 (FIG. 4).
  • the transmitted image data can also be displayed alone.
  • a third step S3 the image data transmitted to the display unit 2 (FIG. 4) are compared with stored reference image data.
  • a comparison unit 5 (FIG. 4), which can be integrated in particular in the display unit 2 (FIG. 4).
  • the image segment area in which the transmitted image data lie is extracted from the received data stream.
  • the transmitted image data that are in the image segment to be examined are range are compared with the reference image data by means of a cross correlation (method).
  • the stored reference image data can be stored in the display unit 2 (FIG. 4).
  • the stored reference image data can include a small selection of the actual image data, which preferably represent fixed points on the display unit 2 (FIG. 4).
  • the cross correlation evaluates the difference between the reference image data and the transmitted image data.
  • the advantage of cross-correlation over other methods is the easy-to-implement algorithm.
  • Cross correlations are robust to light disturbances such as B. Noise.
  • the cross correlation can be calculated, for example, using the Fourier transformation.
  • Cross-correlation is also to be understood as a cross-correlation method, such as binary pixel-based cross-correlation, or a cross-correlation based on feature lists. The latter is characterized by its speed; low noise provided. A non-normalized cross correlation can also be used. This is characterized by reduced computing effort and less storage effort.
  • the standardized cross-correlation is also suitable for the real-time method.
  • a comparison probability value can now be determined on the basis of the cross-correlation carried out as a result of the comparison, with which probability the reference image data are present in the transmitted image data.
  • a fifth step S5 the comparison probability value determined in this way is compared with a predetermined limit probability value.
  • a sixth step S6 if the comparison probability value is higher than the limit probability value, the transmitted image data are displayed on the display unit 2 (FIG. 4). Higher can also mean that the comparison probability value is equal to the limit probability value. Alternatively, this is not included.
  • the limit probability value can also be set weighted. For example, a higher limit probability value can be provided for image data that represent warning notices for driving safety, for example “Caution smoothness”, than for less safety-relevant warning notices.
  • a substitute reaction is initiated. Such can be, for example, switching off the display unit 2 (FIG. 4), which is usually a display of an entertainment system, or displaying a central error warning or overlaying the checked, transmitted image data with the reference image data.
  • the process can tolerate minor changes, such as a different coloring or a different font size, and does not lead to an error alarm.
  • An image memory can thus be dispensed with, for example.
  • the process tolerates minor transmission errors and changes in the image data due to signal processing. Even with lossy compression to reduce the transmission bandwidth, reliable detection of symbols / signatures is still guaranteed. By checking a larger monitoring area, a slight shift of the symbols / signatures can be tolerated.
  • image data are selected in a first step A1 by the control unit 4 (FIG. 4) in the driver assistance system 3 (FIG. 4).
  • a comparison unit 5 (FIG. 4), which for example comprises a graphics chip.
  • a characteristic feature is supplied to the transmitted image data.
  • the reference image data is formed based on this characteristic. Several or different characteristic features can also be inserted.
  • a fourth step A4 the cross-correlation is used to compare the image data transmitted to the display unit 2 (FIG. 4) with the stored reference image data, and to check for the presence of the characteristic feature.
  • the cross correlation can be more efficient and effective with regard to the cha- characteristic feature can be performed. This can also reduce the computing power required.
  • the cross-correlation can be used to determine the comparison probability value as the result of the comparison, with which probability the reference image data with the characteristic feature are present in the transmitted image data with the characteristic feature.
  • a sixth step A6 the comparison probability value determined in this way is compared with a predetermined limit probability value.
  • a seventh step A7 if the comparison probability value is higher than the limit probability value, the transmitted image data with the characteristic feature are displayed on the display unit 2 (FIG. 4).
  • step A8 if the comparison probability value is lower than the limit probability value, a substitute reaction is initiated.
  • the image data are shown as identifier 6.
  • the identifier 6 is preferably formed as identifier data.
  • Camera data which can also be video data and is therefore referred to below as camera data / ideo data, has been recorded here by a camera, for example a sensor. These can represent a camera image / video image, for example of a vehicle environment. Before preferably camera data streams / video data streams are recorded, which represent a sequence of camera / video images. Camera data / ideo data means any data recorded by, for example, a sensor.
  • the identifier 6 is added to the camera data / ideo data.
  • 3 shows the camera data shown on the display unit 2 with the identifier 6.
  • the identifier 6 can be a clear, invisible pattern, for example a digital fingerprint, which is added to the camera data / ideo data.
  • the identifier 6 can be inserted by computer-assisted steganography, so that preferably a user does not notice the identifier 6.
  • the identifier 6 can, however also be an easily identifiable barcode, character, symbol or lettering. Other configurations are also possible.
  • the camera data A / ideo data to be displayed which are transmitted to the display unit 2, are checked with the identifier 6 by means of cross correlation for the presence of the identifier 6.
  • the comparison probability value is created on the basis of the comparison as to whether the identifier 6 is present in the transmitted camera data / video data.
  • the transmitted camera data / video data are displayed on a display unit 2.
  • the camera data / video data shown on the display unit 2 can be monitored for freezing.
  • the camera data / video data shown on the display unit 2 are evaluated as frozen and a replacement reaction, for example a warning symbol on the display unit 2 or a switching off of the display unit 2, is initiated.
  • a replacement reaction for example a warning symbol on the display unit 2 or a switching off of the display unit 2
  • the source from which the camera data / video data originate can be determined.
  • the identifier 6 can be supplied to the camera data / ideo data by means of an identification device.
  • the 4 shows a vehicle 1 with the display unit 2 according to the invention.
  • the vehicle 1 is in particular designed as a passenger vehicle.
  • the display unit 2 can be integrated in a driver assistance system 3.
  • the display unit 2 can be designed as a display.
  • the display unit 2 also includes a comparison unit 5.
  • the vehicle 1 further comprises a control unit 4, which transmits the corresponding warning symbol in image data to the comparison unit 5, for example in the event of a malfunction of the vehicle operation, for example due to a failed component.
  • the control unit 4 can also be integrated in the driver assistance system 3.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un procédé de validation de données d'image transmises, comportant les étapes: fourniture de données d'image et transmission des données d'image à une unité d'affichage (2); fourniture de données d'image de référence; comparaison des données d'image transmises aux données d'image de référence au moyen d'une corrélation croisée dans une unité de comparaison (5) pour déterminer si les données d'image de référence sont présentes dans les données d'image transmises; établissement d'une valeur de probabilité de comparaison sur la base de la comparaison; affichage des données d'image transmises sur une unité d'affichage (2) lorsque la valeur de probabilité de comparaison est supérieure à une valeur de probabilité de seuil prédéfinie fournie; émission d'une réaction de remplacement lorsque la valeur de probabilité de comparaison est inférieure à la valeur de probabilité de seuil. L'invention concerne en outre un dispositif, un programme d'ordinateur et un support d'enregistrement lisible par ordinateur.
EP19824260.4A 2018-12-20 2019-12-11 Procédé de validation de données d'image d'environnement, dispositif, programme d'ordinateur et support d'enregistrement lisible par ordinateur Pending EP3899915A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018222493.5A DE102018222493A1 (de) 2018-12-20 2018-12-20 Verfahren zur Validierung von Umfeldbilddaten, Vorrichtung, Computerprogramm und computerlesbares Speichermedium
PCT/EP2019/084621 WO2020126737A1 (fr) 2018-12-20 2019-12-11 Procédé de validation de données d'image d'environnement, dispositif, programme d'ordinateur et support d'enregistrement lisible par ordinateur

Publications (1)

Publication Number Publication Date
EP3899915A1 true EP3899915A1 (fr) 2021-10-27

Family

ID=68987674

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19824260.4A Pending EP3899915A1 (fr) 2018-12-20 2019-12-11 Procédé de validation de données d'image d'environnement, dispositif, programme d'ordinateur et support d'enregistrement lisible par ordinateur

Country Status (4)

Country Link
US (1) US20220076600A1 (fr)
EP (1) EP3899915A1 (fr)
DE (1) DE102018222493A1 (fr)
WO (1) WO2020126737A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102021128895A1 (de) 2021-11-05 2023-05-11 Bayerische Motoren Werke Aktiengesellschaft Vorrichtung und Verfahren zur Anzeige von fahrzeugrelevanter Information auf einem Bildschirm
GB2625129A (en) * 2022-12-08 2024-06-12 Continental Automotive Tech Gmbh Displaying warning message and method thereof

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050276514A1 (en) * 2004-06-14 2005-12-15 Fisher Paul A Image monitoring method and system
DE102007048608A1 (de) 2007-10-10 2009-04-16 Robert Bosch Gmbh Testeinrichtung, Anzeigevorrichtung und Verfahren zum Überprüfen einer Gültigkeit von Anzeigesignalen
EP2273369B2 (fr) 2009-07-06 2016-09-07 Deuta-Werke GmbH Procédé de représentation d'une information relative à la sécurité sur un dispositif d'affichage et dispositif d'exécution du procédé
DE102010023891A1 (de) * 2010-06-11 2011-12-15 Siemens Aktiengesellschaft Verfahren und Einrichtung zum Erkennen einer fehlerhaften Darstellung von Bilddaten auf einer Anzeigeeinheit
EP2728480A1 (fr) * 2012-11-02 2014-05-07 Continental Automotive GmbH Essai d'un dispositif de commande d'opérateur
DE102016203266A1 (de) * 2016-02-29 2017-08-31 Zf Friedrichshafen Ag Verfahren zum Betreiben einer Anzeigevorrichtung und Anzeigevorrichtung

Also Published As

Publication number Publication date
WO2020126737A1 (fr) 2020-06-25
US20220076600A1 (en) 2022-03-10
DE102018222493A1 (de) 2020-06-25

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