WO2014044264A1 - Verfahren zur durchführung eines automatischen farbabgleichs einer fahrzeuggebundenen farbkamera - Google Patents
Verfahren zur durchführung eines automatischen farbabgleichs einer fahrzeuggebundenen farbkamera Download PDFInfo
- Publication number
- WO2014044264A1 WO2014044264A1 PCT/DE2013/200116 DE2013200116W WO2014044264A1 WO 2014044264 A1 WO2014044264 A1 WO 2014044264A1 DE 2013200116 W DE2013200116 W DE 2013200116W WO 2014044264 A1 WO2014044264 A1 WO 2014044264A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- color
- characteristic value
- vehicle
- color characteristic
- determined
- 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
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Classifications
-
- 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
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
-
- 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
- G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/02—Diagnosis, testing or measuring for television systems or their details for colour television signals
Definitions
- the invention relates to a method for carrying out an automatic color matching of a vehicle-mounted Jardinauf recording system with a color camera and a ob ect recognition unit according to the preamble of claim 1 and the Pa ⁇ tent tapes 10th
- Automatic camera-based driver assistance systems use a camera to record the vehicle environment, interpret the recorded image data and then determine a system-specific reaction.
- a problem with the color characterization is that the color of an object is not a pure property of the object itself, but is significantly influenced by the transmission and filter properties of the entire optical chain (windscreen, lenses, imagers) and the color temperature of the light sources with which Object illuminated For example, a white road marking also appears yellow when it is illuminated by a yellowish glowing headlights. This can lead to a faulty environment interpretation being carried out by a driver assistance system.
- a remedy for this is to perform a so-called white balance, ie to estimate the color temperature of the illumination and to take this influence into account when determining the color of an object.
- From DE 10 2009 007 840 Al a method for calibrating a camera-based system of a vehicle with a windshield is described, which automatically detects when replacing the windshield its type, in particular its tint, ie the color value and the degree of tinting. This is done by performing an automatic comparison of values determined by means of the camera-based system, for example brightness values and / or color values with corresponding stored data. For this purpose, appropriate roadway sections are determined because road surfaces have a color largely matching surface. Furthermore, it is proposed in this DE 10 2009 007 840 AI, additionally or alternatively to determine in the dark values of the headlight of oncoming vehicles, since such headlights internationally standardized white to light yellow.
- An average value of the headlamp beam is formed and compared with egg ⁇ nem stored in the camera-based system standard value of a reference headlight from the determined values.
- an automatic white balance may be performed by automatically adjusting the parameters of the system after comparing the average value of the headlamp beam with the reference headlamp standard value stored in the camera-based system in the event of a deviation, so that the value obtained after the adaptation
- Average value of the headlight light with the stored ⁇ norm value coincides.
- this white balance can only be performed at night.
- the object of the invention is therefore to provide a method of the type mentioned, with which the above drawback is avoided, in particular that under all lighting conditions of the vehicle environment particularly color-accurate image data can be generated in the subsequent image analysis higher security in terms of object detection with a low probability of error.
- Such a method according to the first-mentioned solution to conduct an automatic color balance of a vehicle-mounted image pickup system with a color camera and a Whether ekterkennungsech for detecting objects in the vehicle surroundings of a vehicle, is characterized according to the invention is characterized in that are recognized by the object recognition unit Ver ⁇ traffic signs from a by the object recognition unit at least recognized traffic signs
- Color characteristic value is determined, the determined
- Color characteristic value is compared with a in a storage means from ⁇ specified standard color characteristic value and a correction value is determined in a deviation, and means the correction value, a color balance of the image data generated by the color camera is performed.
- the actual color characteristic that is, for example, the color temperature of the ambient lighting of the vehicle environment is continuously determined on the basis of traffic signs as objects of the vehicle environment, which were recognized by a traffic sign recognition and whose color characteristic, ie their color temperature is known, since the color design the traffic sign of the administrative regulation
- Color characteristic value can be determined in order to achieve a high detection reliability of the actual color temperature of the detected objects in the vehicle environment and thus to improve the classification of the same.
- Color characteristic value list filed with traffic signs where ⁇ at least one standard color characteristic value is assigned to each traffic sign. So that the color characteristic values of the corresponding color or colors can exactly according to DIN 6171 from the administrative regulation "supervisory ⁇ colors for traffic sign colors and color boundaries" are stored.
- a pattern recognition algorithm is used in the object recognition unit for recognizing traffic facilities, preferably guide posts.
- the color characteristic value of the color white is used for a white balance as color balance and / or the color black for the color balance.
- a pattern recognition algorithm is used for the detection of highway signage.
- the color characteristic value of the background color of the highway signage preferably the color blue, is used for color matching for this purpose.
- the method according to the second mentioned solution to conduct an automatic color balance of a comparativelygebunde ⁇ NEN image recording system with a color camera and a Whether ⁇ jekterkennungsappel for detecting objects in the vehicle ⁇ environment of a vehicle is characterized according to the invention is characterized in that registration plate by means of the object detection unit Signs recognized by the vehicle environment detected vehicles, detected by the recognized license plate of a vehicle at least one color characteristic value and means of text and pattern recognition the motor vehicle license plate is determined by comparing the determined motor vehicle license plate with stored in a storage means Nationality ⁇ label and country-specific standard color characteristic values a standard color characteristic value of the identified license plate is determined, the color characteristic value detected by the identified license plate is compared with the standard color characteristic value and a correction value is determined in the event of a deviation, and by means of the correction value a color balance of the Color camera generated image data is performed.
- the country-specific license plates of vehicles must be designed in certain colors, so that with knowledge of the detected from the license plate license plate ⁇ associated state and the color of the license plate, commonly referred to as a license plate known is.
- the country-specific colors can be stored as standard color characteristic values in a storage means and accessed to compare a detected one of a recognized license plate
- the color characteristic value with the corresponding standard color characteristic value to perform a color balance.
- the color temperature of the ambient illumination of the vehicle environment is also in this method, the actual color ⁇ characteristic, ie, for example.
- the second-mentioned solution it is provided that in the storage means a color characteristic value list of country speci ⁇ fischen license plates of vehicles is stored, wherein each license plate of a state at least one
- Standard color characteristic value is assigned. This allows the exact color characteristic values of the corresponding colors of the national license plates to be stored. It is particularly advantageous if, according to a further embodiment of the invention, the color characteristic value of the color blue is used for color matching when recognizing a euro license plate. This color is useful because the standard design of the EU symbol consists of a blue stripe on the left side of the license plate or license plate.
- Fig. 1 is a schematic representation of a vehicle with an image recording system to explain the method of the invention
- Fig. 2 is a flowchart for performing an automatic color balance by means of the vehicle-mounted image pickup system of Figure 1 as the execution ⁇ example according to the invention.
- FIG. 10 The vehicle diagrammatically illustrated in Figure 1 10, and in particular ⁇ sondere a motor vehicle comprising an imaging system 1 with a color camera 2, a Whether ekterkennungsaku 3 for detecting objects, in particular traffic signs and license plates of vehicles, wherein the object detection unit 3, a memory 4 is associated with ,
- the object detection unit on a classifier with a means of a pattern recognition algorithm Classification is made with respect to recognized structures and colors of objects detected in the image data generated by the color camera 2.
- traffic signs and license plates but also other objects such as lane markings, lane boundaries preceding vehicles, taillights, headlights, etc. can be detected.
- the vehicle 10 includes a display 5, which represents, for example. A portion of a central display and control unit of the driving ⁇ zeugs 10 or a combination instrument of the vehicle 10 showing the detected by the object detection unit 3 Whether ⁇ projects, in particular the recognized traffic signs and therefore connected with the same. Furthermore, the information regarding the detected traffic sign and / or further identified in the vehicle environment objects are supplied to a driver assistance system 6, which adjusting organs ⁇ 6a drives in turn tenzfunktion implementing the corresponding Advanced Driver.
- the driver assistance system 6, to which the information about speed-limiting traffic signs are supplied, make an automatic adjustment of the current speed of the vehicle 10 to the detected maximum speed via the control of the actuators 6a.
- This driver assistance system 6 can also be embodied as a lane departure warning system, to which the information required for the tracking with respect to recognized lane markings or lane boundaries is supplied, and possibly interferes with the braking and / or steering system of the vehicle 10 via the actuators 6a.
- the former method therefore uses traffic signs for color matching or white balance, since their colors are prescribed in accordance with the administrative provision "supervisory colors for traffic sign colors and color boundaries" (DIN 6171) and can therefore vary only within narrow limits.
- DIN 6171 the administrative provision
- the Farbcharak- teristics that is, the color temperatures of the colors of a traffic sign known and can therefore be used as a reference value, hereinafter standard color characteristic value.
- a deviation of a color temperature value determined from the image data of such a traffic sign as
- Color characteristic value of this reference value is closed to the presence of a color light source or mixtures of different light sources whose color temperature can be determined as a color characteristic value directly from the deviation from the standard color characteristic value and used to correct the color interpretation of the vehicle environment in terms of color balance or white balance can be.
- the method of automatically color balance or white balance of Figure 2 begins with a first procedure ⁇ step Sl, wherein the vehicle environment is detected by means of Farbka ⁇ ra. 2 Subsequently, according to method step S2 for locating and detecting traffic signs in the vehicle environment, the image data generated by the color camera 2 are evaluated by the object recognition unit 3 and by means of the classifier 3a an O ektklasso performed.
- the color characteristic of the recognized road sign is determined, that is the color characteristic values, that the color values determined.
- the color characteristic values that the color values determined.
- the color red may be of such a traffic sign ⁇ determined as a circular ring.
- Color characteristic value for the color white is compared in a Ver ⁇ step S5 with the associated standard color characteristic value of the detected traffic sign associated white color. If a match exists within a predetermined tolerance between these two values, the method ends with method step S8 and a return to method step S1.
- a correction value is determined in a further method step S6 is performed with in a subsequent process step S7, a white balance that is generated by the Farbka ⁇ ra 2 Image data are corrected for color interpretation by means of this correction value.
- the method steps S4 to S8 can also be carried out with the color red of the recognized traffic sign for color matching. It is also possible to determine the color characteristic values for both colors white and red, and to determine a common correction value for a deviation from the standard color characteristic values.
- a white balance can also be performed with the color white of guide posts, which represent traffic facilities, if such guide posts are recognized as lane boundaries by the object recognition unit 3.
- the method for carrying out an automatic Farbab- equalization can be carried out with the color black as a font color of the detected traffic sign or a color of the black of the bars of a marker post when the corresponding ⁇ de standard color characteristic value in the
- the color blue suitable if, for example, motorway signs are recognized as traffic signs whose background color is blue.
- the method according to the invention can be used with all colors used for traffic signs in accordance with the administrative specification "supervisory colors for traffic sign colors and color boundaries" (DIN 6171) for carrying out a dyeing or dyeing process.
- the inventive method is particularly easy and inexpensive to implement in a vehicle, if this
- the method for automatic color matching or white balance on the basis of recognized license plates of vehicles begins according to Figure 2 with a first process step Sl, in which the vehicle environment is detected by the Farbka ⁇ mera 2. Subsequently, according to method step S2 ⁇ for locating and recognizing license plates of vehicles in the vehicle environment generated by the color camera 2 by the image data Whether ekterkennungsaku 3 are evaluated and performed ⁇ object classification by the classifier 3a. Both driving ahead, oncoming and following traffic it ⁇ sums and their image data can be analyzed for license plates of these vehicles.
- step S2 If, according to method step S2 a license plate of a vehicle is detected, the vehicle registration number is to step S3 by means of ei ⁇ ner text and pattern recognition software, for example. By means of an OCR software determined. From this motor vehicle registration number, the state associated with this motor vehicle license plate is determined by comparison with the country code list stored in the memory 4. At the same time every state at least one color for the indicator ⁇ shield to be used, eg., The color white for
- step S4 If a state can be determined with an associated standard color characteristic value for license plates DIE ses state according to method step S3, the step S4 recorded with a follow ⁇ the color characteristics of the detected license plate from by the color camera Image data of the vehicle determines, so the
- Color characteristic values ie the color values determined.
- the color value of the background color to white or yellow is, for example, determined.
- the color blue can. Be used for color matching, as the standard design of the EU symbol of a blue stripe on the left side of the license plate tag or license plate consists. Then, for example, in the country code list of the memory 3a, the color blue would be assigned for each euro country.
- the two methods described, namely, on the one hand, to use a color of traffic signs for the color matching and, on the other hand, to use the color of recognized country-specific license plates for this purpose, can of course be simultaneously available in a vehicle with an image recording system according to FIG.
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
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Abstract
Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE112013001955.8T DE112013001955A5 (de) | 2012-09-20 | 2013-08-09 | Verfahren zur Durchführung eines automatischen Farbabgleichs einer fahrzeuggebundenen Farbkamera |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102012108860.8A DE102012108860A1 (de) | 2012-09-20 | 2012-09-20 | Verfahren zur Durchführung eines automatischen Farbabgleichs einer fahrzeuggebundenen Farbkamera |
| DE102012108860.8 | 2012-09-20 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2014044264A1 true WO2014044264A1 (de) | 2014-03-27 |
Family
ID=49150725
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/DE2013/200116 Ceased WO2014044264A1 (de) | 2012-09-20 | 2013-08-09 | Verfahren zur durchführung eines automatischen farbabgleichs einer fahrzeuggebundenen farbkamera |
Country Status (2)
| Country | Link |
|---|---|
| DE (2) | DE102012108860A1 (de) |
| WO (1) | WO2014044264A1 (de) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113392930B (zh) * | 2021-07-02 | 2024-05-14 | 西安电子科技大学 | 基于多层次分治网络的交通标志目标检测方法 |
| DE102021132644A1 (de) | 2021-12-10 | 2023-06-15 | Valeo Schalter Und Sensoren Gmbh | Verfahren zur Farbkalibrierung einer farbauflösenden Kamera für ein Kraftfahrzeug, Steuereinrichtung und Kamera |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001222680A (ja) * | 2000-02-08 | 2001-08-17 | Mitsubishi Electric Corp | ナンバー読取り装置 |
| JP2008028958A (ja) * | 2006-07-25 | 2008-02-07 | Denso Corp | 調整画像作成装置 |
| DE102009007840A1 (de) | 2009-02-06 | 2010-08-12 | Adc Automotive Distance Control Systems Gmbh | Verfahren zur Kalibrierung eines kamerabasierten Systems |
| WO2012101965A1 (en) * | 2011-01-27 | 2012-08-02 | Aisin Aw Co.,Ltd. | Guidance device, guidance method, and guidance program |
| US20130235193A1 (en) * | 2012-03-09 | 2013-09-12 | Altek Corporation | License Plate Image-Pickup Device and Image White Balance Adjustment Method Thereof |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060125939A (ko) * | 2005-06-01 | 2006-12-07 | 엘지전자 주식회사 | 이동통신 단말기를 이용한 신호등 색상 알림 방법 |
| DE102009047437A1 (de) * | 2009-12-03 | 2011-06-09 | Robert Bosch Gmbh | Verfahren und Vorrichtung zur Anpassung von Bildinformationen eines optischen Systems |
| DE102010003668B4 (de) * | 2010-04-07 | 2020-03-26 | Robert Bosch Gmbh | Farbmaske für einen Bildsensor einer Fahrzeugkamera |
-
2012
- 2012-09-20 DE DE102012108860.8A patent/DE102012108860A1/de not_active Withdrawn
-
2013
- 2013-08-09 DE DE112013001955.8T patent/DE112013001955A5/de not_active Withdrawn
- 2013-08-09 WO PCT/DE2013/200116 patent/WO2014044264A1/de not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001222680A (ja) * | 2000-02-08 | 2001-08-17 | Mitsubishi Electric Corp | ナンバー読取り装置 |
| JP2008028958A (ja) * | 2006-07-25 | 2008-02-07 | Denso Corp | 調整画像作成装置 |
| DE102009007840A1 (de) | 2009-02-06 | 2010-08-12 | Adc Automotive Distance Control Systems Gmbh | Verfahren zur Kalibrierung eines kamerabasierten Systems |
| WO2012101965A1 (en) * | 2011-01-27 | 2012-08-02 | Aisin Aw Co.,Ltd. | Guidance device, guidance method, and guidance program |
| US20130235193A1 (en) * | 2012-03-09 | 2013-09-12 | Altek Corporation | License Plate Image-Pickup Device and Image White Balance Adjustment Method Thereof |
Non-Patent Citations (2)
| Title |
|---|
| "Field Programmable Logic and Application", vol. 3483, 1 January 2005, SPRINGER BERLIN HEIDELBERG, Berlin, Heidelberg, ISBN: 978-3-54-045234-8, ISSN: 0302-9743, article XIFAN SHI ET AL: "Automatic License Plate Recognition System Based on Color Image Processing", pages: 1159 - 1168, XP055097576, DOI: 10.1007/11424925_121 * |
| NICOLAS THOME ET AL: "A cognitive and video-based approach for multinational License Plate Recognition", MACHINE VISION AND APPLICATIONS, SPRINGER, BERLIN, DE, vol. 22, no. 2, 1 March 2010 (2010-03-01), pages 389 - 407, XP019880785, ISSN: 1432-1769, DOI: 10.1007/S00138-010-0246-3 * |
Also Published As
| Publication number | Publication date |
|---|---|
| DE102012108860A1 (de) | 2014-03-20 |
| DE112013001955A5 (de) | 2014-12-24 |
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