DE102014009522A1 - Method for detecting an environment of a vehicle - Google Patents
Method for detecting an environment of a vehicle Download PDFInfo
- Publication number
- DE102014009522A1 DE102014009522A1 DE102014009522.3A DE102014009522A DE102014009522A1 DE 102014009522 A1 DE102014009522 A1 DE 102014009522A1 DE 102014009522 A DE102014009522 A DE 102014009522A DE 102014009522 A1 DE102014009522 A1 DE 102014009522A1
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- vehicle
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000003287 optical effect Effects 0.000 claims abstract description 9
- 238000011156 evaluation Methods 0.000 claims description 2
- 230000004907 flux Effects 0.000 claims 1
- 238000001514 detection method Methods 0.000 description 4
- 238000012897 Levenberg–Marquardt algorithm Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000003708 edge detection Methods 0.000 description 2
- 238000012552 review Methods 0.000 description 2
- BUHVIAUBTBOHAG-FOYDDCNASA-N (2r,3r,4s,5r)-2-[6-[[2-(3,5-dimethoxyphenyl)-2-(2-methylphenyl)ethyl]amino]purin-9-yl]-5-(hydroxymethyl)oxolane-3,4-diol Chemical compound COC1=CC(OC)=CC(C(CNC=2C=3N=CN(C=3N=CN=2)[C@H]2[C@@H]([C@H](O)[C@@H](CO)O2)O)C=2C(=CC=CC=2)C)=C1 BUHVIAUBTBOHAG-FOYDDCNASA-N 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
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- 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
- B60R1/20—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
- B60R1/22—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 for viewing an area outside the vehicle, e.g. the exterior of the vehicle
- B60R1/23—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 for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view
- B60R1/26—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 for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view to the rear of the vehicle
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/10—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used
- B60R2300/105—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used using multiple cameras
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/60—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by monitoring and displaying vehicle exterior scenes from a transformed perspective
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/8046—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for replacing a rear-view mirror system
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
Die Erfindung betrifft ein Verfahren zur Erfassung und Darstellung einer Umgebung eines Fahrzeugs (1), wobei mittels zumindest einer Bilderfassungseinheit (2 bis 4) eine Umgebung des Fahrzeugs (1) erfasst wird und erfasste Bilddaten derart verarbeitet werden, dass eine Umgebung des Fahrzeugs (1) aus einer Perspektive seitlich an einer Außenseite des Fahrzeugs (1) angeordneter Rückspiegel dargestellt wird. Erfindungsgemäß werden zumindest Abschnitte eines Umrisses des Fahrzeugs (1) in dessen Heckbereich in den Bilddaten während einer Fahrt des Fahrzeugs (1) anhand eines, aus zeitlich nacheinander erfassten Bilddaten erfassten optischen Flusses ermittelt.The invention relates to a method for capturing and displaying the surroundings of a vehicle (1), an area around the vehicle (1) being captured by means of at least one image capturing unit (2 to 4) and captured image data being processed in such a way that an area surrounding the vehicle (1 ) is shown from a perspective laterally on an outside of the vehicle (1) arranged rearview mirror. According to the invention, at least sections of an outline of the vehicle (1) in its rear area are determined in the image data while the vehicle (1) is driving on the basis of an optical flow acquired from image data acquired one after the other.
Description
Die Erfindung betrifft ein Verfahren zur Erfassung und Darstellung einer Umgebung eines Fahrzeugs, wobei mittels zumindest einer Bilderfassungseinheit eine Umgebung des Fahrzeugs erfasst wird und erfasste Bilddaten derart verarbeitet werden, dass eine Umgebung des Fahrzeugs aus einer Perspektive seitlich an einer Außenseite des Fahrzeugs angeordneter Rückspiegel dargestellt wird.The invention relates to a method for detecting and representing an environment of a vehicle, wherein an environment of the vehicle is detected by means of at least one image capture unit and processed image data are processed such that an environment of the vehicle from a perspective laterally arranged on an outside of the vehicle rearview mirror is displayed ,
Aus der
Weiterhin sind aus dem Stand der Technik Verfahren und Vorrichtungen zur Erfassung einer Umgebung eines Fahrzeugs bekannt, bei welchen mittels Bilderfassungseinheiten eine Umgebung des Fahrzeugs derart erfasst wird, dass erfasste Bilddaten zur Darstellung einer Umgebung des Fahrzeugs aus Sicht herkömmlicher Seitenspiegel verwendet werden.Furthermore, from the prior art methods and devices for detecting an environment of a vehicle are known in which an environment of the vehicle is detected by means of image capture units such that captured image data are used to represent an environment of the vehicle from the perspective of conventional side mirrors.
Der Erfindung liegt die Aufgabe zu Grunde, ein gegenüber dem Stand der Technik verbessertes Verfahren zur Erfassung einer Umgebung eines Fahrzeugs anzugeben.The invention is based on the object to provide a comparison with the prior art improved method for detecting an environment of a vehicle.
Die Aufgabe wird erfindungsgemäß mit einem Verfahren gelöst, welches die im Anspruch 1 angegebenen Merkmale aufweist.The object is achieved by a method having the features specified in claim 1.
Vorteilhafte Ausgestaltungen der Erfindung sind Gegenstand der Unteransprüche.Advantageous embodiments of the invention are the subject of the dependent claims.
In einem Verfahren zur Erfassung und Darstellung einer Umgebung eines Fahrzeugs wird mittels zumindest einer Bilderfassungseinheit eine Umgebung des Fahrzeugs erfasst und erfasste Bilddaten werden derart verarbeitet, dass eine Umgebung des Fahrzeugs aus einer Perspektive seitlich an einer Außenseite des Fahrzeugs angeordneter Rückspiegel dargestellt wird.In a method for detecting and representing an environment of a vehicle, an environment of the vehicle is detected by means of at least one image capture unit, and acquired image data are processed in such a way that an environment of the vehicle is represented from a rear view mirror arranged laterally on an outer side of the vehicle.
Erfindungsgemäß werden zumindest Abschnitte eines Umrisses des Fahrzeugs in dessen Heckbereich in den Bilddaten während einer Fahrt des Fahrzeugs anhand eines, aus zeitlich nacheinander erfassten Bilddaten erfassten optischen Flusses ermittelt.According to the invention, at least portions of an outline of the vehicle in its rear area are determined in the image data during a drive of the vehicle on the basis of an optical flow detected from image data acquired temporally one after the other.
Hierbei wird insbesondere ein Bewegungsverhalten von Merkmalen der Umgebung des Fahrzeugs in den Bilddaten ausgewertet, wobei sich eine Bewegungsrichtung von am Fahrzeug gespiegelten Merkmalen und direkt mittels der zumindest einen Bilderfassungseinheit erfassten nicht gespiegelten Merkmalen in den Bilddaten unterscheidet.Here, in particular, a movement behavior of features of the environment of the vehicle in the image data is evaluated, wherein a direction of movement of features mirrored on the vehicle and directly detected by means of the at least one image acquisition unit non-mirrored features in the image data.
Somit sind Umrisse des Fahrzeugs und Bereiche der Umgebung des Fahrzeugs exakt voneinander unterscheidbar. Daraus folgend kann auch eine Position eines Fahrzeughecks zuverlässig in den Bilddaten bestimmt und optisch dargestellt werden. Hierbei ist es beispielsweise möglich, dass eine hintere Kante des Umrisses des Fahrzeugs bei der optischen Darstellung hervorgehoben wird und somit für einen Fahrer des Fahrzeugs sicher erkennbar ist.Thus, outlines of the vehicle and areas surrounding the vehicle are exactly distinguishable from each other. As a result, a position of a vehicle rear can also be reliably determined in the image data and visually displayed. In this case, it is possible, for example, for a rear edge of the outline of the vehicle to be highlighted in the optical representation and thus to be reliably recognizable to a driver of the vehicle.
Ausführungsbeispiele der Erfindung werden im Folgenden anhand einer Zeichnung näher erläutert.Embodiments of the invention will be explained in more detail below with reference to a drawing.
Dabei zeigt:Showing:
In der einzigen
Die Bilderfassungseinheiten
Hierbei ist ein Sichtfeld der Bilderfassungseinheiten
Um diesen Nachteil zu überwinden, werden zumindest Abschnitte eines Umrisses des Fahrzeugs
Somit können die Kanten an den Enden der Seitenflächen des Fahrzeugs
Hierzu werden die Bilderfassungseinheiten
Durchfährt das Fahrzeug
Um eine Zuverlässigkeit der Detektion zu erhöhen, wird der optische Fluss in einem möglichen Ausführungsbeispiel dann ermittelt und zur Ermittlung des Umrisses des Fahrzeugs
Zu einer weiteren Erhöhung der Zuverlässigkeit der Ermittlung des Umrisses wird die Ermittlung der Abschnitte des Umrisses des Fahrzeugs
Zusätzlich werden beispielsweise an den Seitenflächen des Fahrzeugs
Auch hebt sich am Heck des Fahrzeugs
Alternativ oder zusätzlich wird die hintere Kante des Umrisses des Fahrzeugs
Weiterhin werden in einer möglichen Ausgestaltung die Bilddaten der Bilderfassungseinheiten
Hierbei überschneiden sich Erfassungsbereiche der Bilderfassungseinheiten
Weiterhin entstehen in den gespiegelten Abbildern der Umgebung an den Seitenflächen des Fahrzeugs
BezugszeichenlisteLIST OF REFERENCE NUMBERS
- 11
- Fahrzeugvehicle
- 22
- BilderfassungseinheitImage capture unit
- 33
- BilderfassungseinheitImage capture unit
- 44
- BilderfassungseinheitImage capture unit
ZITATE ENTHALTEN IN DER BESCHREIBUNG QUOTES INCLUDE IN THE DESCRIPTION
Diese Liste der vom Anmelder aufgeführten Dokumente wurde automatisiert erzeugt und ist ausschließlich zur besseren Information des Lesers aufgenommen. Die Liste ist nicht Bestandteil der deutschen Patent- bzw. Gebrauchsmusteranmeldung. Das DPMA übernimmt keinerlei Haftung für etwaige Fehler oder Auslassungen.This list of the documents listed by the applicant has been generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.
Zitierte PatentliteraturCited patent literature
- DE 102006004770 A1 [0002] DE 102006004770 A1 [0002]
Zitierte Nicht-PatentliteraturCited non-patent literature
- Horn, B. und Schunck, B: Determining optical flow; In: Artificial Intelligence, vol. 17, no. 1–3, pp. 185–203, 1981 [0020] Horn, B. and Schunck, B: Determining optical flow; In: Artificial Intelligence, vol. 17, no. 1-3, pp. 185-203, 1981 [0020]
- More, J. J.: The Levenberg-Marquardt Algorithm: Implementation and Theory; In: Numerical Analysis, Seiten 105 bis 116, 1977 [0022] More, JJ: The Levenberg-Marquardt Algorithm: Implementation and Theory; In: Numerical Analysis, pages 105 to 116, 1977 [0022]
- Canny, J.: A Computational Approach to Edge Detection, 1986 PAMI [0023] Canny, J .: A Computational Approach to Edge Detection, 1986 PAMI [0023]
- Canny, J.: A Computational Approach to Edge Detection, 1986 PAMI [0024] Canny, J .: A Computational Approach to Edge Detection, 1986 PAMI [0024]
- Jähne, B.: Digitale Bildverarbeitung; 5. überarbeitete und erweiterte Auflage. Springer, Berlin 2002, ISBN 3-540-41260-3, S. 459 ff. [0025] Jähne, B .: Digital image processing; 5. revised and expanded edition. Springer, Berlin 2002, ISBN 3-540-41260-3, p. 459 et seq. [0025]
- Lazarosa, N u. a.: Review of Stereo Vision Algorithms: From Software to Hardware; In: International Journal of Optomechatronic, Seiten 435 bis 462, 2008 [0027] Lazarosa, N et al: Review of Stereo Vision Algorithms: From Software to Hardware; In: International Journal of Optomechatronic, pages 435 to 462, 2008 [0027]
Claims (7)
Priority Applications (1)
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DE102014009522.3A DE102014009522A1 (en) | 2014-06-25 | 2014-06-25 | Method for detecting an environment of a vehicle |
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DE102014009522.3A DE102014009522A1 (en) | 2014-06-25 | 2014-06-25 | Method for detecting an environment of a vehicle |
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DE102014009522A1 true DE102014009522A1 (en) | 2014-11-27 |
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DE102014009522.3A Withdrawn DE102014009522A1 (en) | 2014-06-25 | 2014-06-25 | Method for detecting an environment of a vehicle |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102016223074A1 (en) | 2016-11-23 | 2018-05-24 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by means of a write process in a plurality of correspondence tables |
DE102016223071A1 (en) | 2016-11-23 | 2018-05-24 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by reading from a plurality of correspondence tables |
DE102016223079A1 (en) | 2016-11-23 | 2018-05-24 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by means of a correspondence table |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102006004770A1 (en) | 2005-11-09 | 2007-05-10 | Daimlerchrysler Ag | Vehicle detecting method for use in surroundings of road vehicle, involves comparing image data based on their intensities to detect vehicle, and closing detection of vehicle if deviation of intensities of data does not exceed preset-value |
-
2014
- 2014-06-25 DE DE102014009522.3A patent/DE102014009522A1/en not_active Withdrawn
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102006004770A1 (en) | 2005-11-09 | 2007-05-10 | Daimlerchrysler Ag | Vehicle detecting method for use in surroundings of road vehicle, involves comparing image data based on their intensities to detect vehicle, and closing detection of vehicle if deviation of intensities of data does not exceed preset-value |
Non-Patent Citations (5)
Title |
---|
Canny, J.: A Computational Approach to Edge Detection, 1986 PAMI |
Horn, B. und Schunck, B: Determining optical flow; In: Artificial Intelligence, vol. 17, no. 1-3, pp. 185-203, 1981 |
Jähne, B.: Digitale Bildverarbeitung; 5. überarbeitete und erweiterte Auflage. Springer, Berlin 2002, ISBN 3-540-41260-3, S. 459 ff. |
Lazarosa, N u. a.: Review of Stereo Vision Algorithms: From Software to Hardware; In: International Journal of Optomechatronic, Seiten 435 bis 462, 2008 |
More, J. J.: The Levenberg-Marquardt Algorithm: Implementation and Theory; In: Numerical Analysis, Seiten 105 bis 116, 1977 |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102016223074A1 (en) | 2016-11-23 | 2018-05-24 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by means of a write process in a plurality of correspondence tables |
DE102016223071A1 (en) | 2016-11-23 | 2018-05-24 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by reading from a plurality of correspondence tables |
DE102016223079A1 (en) | 2016-11-23 | 2018-05-24 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by means of a correspondence table |
EP3327672A1 (en) | 2016-11-23 | 2018-05-30 | Robert Bosch GmbH | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by writing in multiple correspondence tables |
EP3327671A1 (en) | 2016-11-23 | 2018-05-30 | Robert Bosch GmbH | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by reading from multiple correspondence tables |
WO2018095698A1 (en) | 2016-11-23 | 2018-05-31 | Robert Bosch Gmbh | Search for correspondence between matrix elements |
DE102016223071B4 (en) | 2016-11-23 | 2019-02-14 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by reading from a plurality of correspondence tables |
DE102016223074B4 (en) | 2016-11-23 | 2019-03-28 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix by means of a write process in a plurality of correspondence tables |
US11341654B2 (en) | 2016-11-23 | 2022-05-24 | Robert Bosch Gmbh | Correspondence search between matrix elements |
DE102016223079B4 (en) | 2016-11-23 | 2024-03-28 | Robert Bosch Gmbh | Method and device for determining an association between a matrix element of a matrix and a comparison matrix element of a comparison matrix using a correspondence table |
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