Detection of raindrops on a windowpane by means of camera and light

Information

  • Patent Grant
  • 9702818
  • Patent Number
    9,702,818
  • Date Filed
    Friday, April 26, 2013
    11 years ago
  • Date Issued
    Tuesday, July 11, 2017
    7 years ago
Abstract
A device and to a method for detecting rain, which includes a camera and a light source. The camera is arranged behind a windowpane, in particular inside a vehicle, behind a windscreen, and focused on a far range located in front of the windowpane. The light source for producing at least one light beam which is directed to the windowpane directs the at least one light beam to the windowpane in such a manner that at least one beam which is reflected by the outer side of the windowpane is incident on the camera. The structure of the image of the at least one beam reflected by the outer side of the windowpane is analyzed, in particular as part of an image processing step. The type of rain or precipitation on the outer side of the windowpane is classified based on the analysis of the structure of this image.
Description
CROSS REFERENCE TO RELATED APPLICATIONS

This application is the U.S. National Phase Application of PCT International Application No. PCT/DE2013/100155, filed Apr. 26, 2013, which claims priority to German Patent Application No. 10 2012 103 873.2, filed May 3, 2012, the contents of such applications being incorporated by reference herein.


FIELD OF THE INVENTION

The invention relates to a method for detecting raindrops on a windowpane by means of a light source and a camera.


BACKGROUND OF THE INVENTION

WO2010/072198 A1, which is incorporated by reference, describes a method for detecting rain with the aid of a camera, which is used for automotive driver assistance functions. To detect rain, a bifocal optical system is used which produces a sharp image of a partial area of the windscreen on a partial area of the imager or image sensor of the camera. In order to be able to detect raindrops even at night, it is further proposed to couple light into the windscreen using a coupling-in element and to transfer this light within the screen by means of total internal reflection. The light which has been entirely reflected is then coupled out towards the camera by a coupling-out element. When there are drops of water on the windscreen, part of the light is coupled out rather than reflected to the coupling-out element.


U.S. Pat. No. 7,259,367 B2, which is incorporated by reference, also proposes a method for sensing rain by means of a camera, wherein a large area of the window of view, which is defined by the camera's angular aperture and the windowpane, is illuminated. The camera is almost set to infinity focus and can thus be used for driver assistance applications at the same time. As an image of the far range is produced, raindrops can only be noticed as faults in the image, which are detected by complex difference measurements of the images recorded using light that is pulsed or modulated in synchronization with the pixel frequency.


SUMMARY OF THE INVENTION

An aspect of the present invention provides more reliable and precise information relating to rain or moisture on the windowpane, compared to methods known from the state of the art.


This is achieved by means of a method for detecting rain on the outer side of a windowpane. By means of a camera which is arranged behind the windowpane and focused on a far range in front of the windowpane, and a light source for producing at least one light beam which is directed on the windowpane. The light source directs the at least one light beam to the windowpane in such a manner that at least one beam which is reflected by the outer side of the windowpane is incident on the camera. The camera records an image of the at least one beam reflected by the outer side of the windowpane. The structure of the image of the at least one beam reflected by the outer side of the windowpane is analyzed, in particular as part of an image processing step, in order to classify the type of rain or precipitation on the outer side of the windowpane.


An aspect of the invention has the advantage that the type of rain or precipitation can be determined with a vehicle camera, in particular a driver assistance camera, while hardly affecting the main function of the camera.


According to a preferred method, the analysis of the structure of the image of the at least one beam reflected by the outer side of the windowpane comprises the detection of a pattern or texture. The detection of a texture and/or pattern may, in particular, be a classification using trained textures and/or patterns, e.g. by means of a neural network.


In a preferred embodiment, the analysis of the structure of the image of the at least one beam reflected by the outer side of the windowpane comprises a comparison of present with stored and/or learned structural characteristics.


According to an advantageous embodiment, the presence of an individual raindrop on the outer side of the windowpane is deduced from a continuous partial area with low intensity in the image of the at least one beam reflected by the outer side of the windowpane.


Preferably, the presence of drizzle or light rain falling in very fine drops on the outer side of the windowpane is deduced from streaks in the image of the at least one beam reflected by the outer side of the windowpane.


In an advantageous embodiment variant, the light source directs the at least one light beam to the windowpane in such a manner that beams which are reflected by the inner side and outer side of the windowpane are incident on the camera as at least two spatially separated beams. As a result, the camera records an image of the at least one beam reflected by the outer side of the windowpane and an image of the at least one beam reflected by the inner side of the windowpane. The latter may be analyzed as a reference image.


In this variant, an analysis of the image of the at least one beam reflected by the inner side of the windowpane preferably enables condensation or another circumstance affecting optical characteristics to be detected on the inner side of the windowpane.


To this end, the structure or the amount of light of the image of the at least one beam reflected by the inner side of the windowpane may advantageously be analyzed.


According to a preferred configuration of the method, the camera initially records a first image while the light source is switched off. Then a second image is recorded while the light source is switched on. The difference image of the first and the second image is produced. In the difference image, the structure of the image of the at least one beam reflected on the outer side of the windowpane is analyzed in order to identify the type of precipitation or rain on the outer side of the windowpane.


If, advantageously, the light used is visible light, it must be ensured that the light does not confuse other road users.


To this end, it is proposed to use a short visible light pulse whose intensity is adapted to external brightness. This would require only a short exposure time and image recording time for the rain sensor image, so that the driver assistance function is hardly affected. In daylight, such a light pulse would only be noted by a person looking directly at the light. At night, only little light is needed to detect rain. This means, the intensity can be reduced to an appropriate level, so that the light is not annoying.


A preferred adaptation of the light intensity—regardless of the wavelength range used—has another advantage. By day the light reflections intended for the rain sensor are well visible, and at night the images are prevented from becoming saturated, which would make it impossible to analyze the structure of the image(s).


Advantageously, it may be detected how the structures of the beam reflected on the outer side of the windowpane, which are recorded by the image sensor of the camera, change over time. To this end, the camera may record a sequence of images.


Preferably, the camera is used for one or more other driver assistance functions which are based on an analysis of the focused image of the far range.


An aspect of the invention further relates to a device for detecting rain or precipitation, which comprises a camera and a light source. The camera is arranged behind a windowpane, in particular inside a vehicle, e.g. behind a windscreen, and focused on a far range located in front of the windowpane. The camera preferably comprises an objective used for focusing, and an image sensor, e.g. a CCD sensor or CMOS sensor. The light source for producing at least one light beam directed to the windowpane directs the at least one light beam to the windowpane in such a manner that at least one beam (or partial beam of the light beam directed to the windowpane) which is reflected by the outer side of the windowpane is incident on the camera. The light source may be designed as one or more light-emitting diodes (LEDs) or as a strip light. Image processing means are provided to analyze the structure of the image of the at least one beam reflected by the outer side of the windowpane. Means for classifying the type of rain or precipitation on the outer side of the windowpane are provided, whose classification is based on the analysis of the structure of this image.


In a preferred embodiment, the light source directs the at least one light beam to the windowpane in such a manner that the beams which are reflected by the inner and the outer side of the windowpane are incident on the camera as at least two spatially separated beams. As a result, the at least two beams which are incident on the camera can produce two spatially separated images. The structure of the separate light reflections can be analyzed. The beam which is reflected (directly) on the inner side of the windowpane and is incident on the camera may preferably be used as a reference image since the structure of the image of this beam will not change, regardless of whether there are raindrops on the outer side of the windowpane or not. Changes in the structure of the image of this beam suggest condensation or the like on the inner side of the windowpane.


The light may advantageously be provided by individual light-emitting diodes, which are e.g. arranged in series. As an alternative, a strip light could be used. Preferably, a sufficiently directed radiation pattern, e.g. of less than ±20°, is ensured.


According to a preferred configuration of the invention, the light source is structurally integrated in the camera or the camera housing. In this case, the light source may preferably be arranged within the camera housing, below a diaphragm or a funnel defining the camera's view.


Advantageously, the light source produces light in the infrared wavelength range, and the diaphragm allows light in the infrared wavelength range to pass through, at least in a partial area thereof which is located above the light source or in the direction of irradiation of the light source.


The light source may, in particular, be arranged on a circuit carrier or circuit board of the camera.


Preferably, the light source only produces light whose wavelength is in a particular wavelength range, e.g. in the (near) infrared wavelength range. In the beam path of the camera, a first spectral filter is arranged in the area where the at least two spatially separated beams are reflected. The first spectral filter generally allows light with a wavelength in this particular wavelength range to pass through (e.g. transmits infrared light).


Advantageously, a second spectral filter is arranged in the area of the beam path where the at least two spatially separated beams are not reflected, and the second spectral filter blocks light whose wavelength is in the particular wavelength range (e.g. infrared-blocking filter)


The first or both spectral filter(s) may preferably be provided directly on pixels of the image sensor of the camera.


In an advantageous embodiment, the light source produces a focused light beam.


Preferably, the light beam produced by the light source may be directed to the windowpane by means of an optical waveguide, such as a glass fibre.





BRIEF DESCRIPTION OF THE DRAWINGS

The invention will now be explained in more detail with reference to figures and exemplary embodiments.


In the figures:



FIG. 1 schematically shows the basic principle of a potential arrangement of the light source and the camera, indicating the beam paths in case of a dry windowpane;



FIG. 2 schematically shows the beam paths which have changed due to rain on the windowpane;



FIG. 3 shows the changed beam paths and a mirror image of the light source;



FIGS. 4a and 4b show reflections of light beams recorded by an image sensor of a camera, which suggest the presence of an individual raindrop in the area of detection;



FIGS. 5a and 5b show recorded reflections of light beams which suggest drizzle and/or light rain falling in very fine drops on the windowpane;



FIG. 6 schematically shows the beam path and a mirror image of the light source in case of condensation and reflection on the inner side of the windowpane; and



FIGS. 7a and 7b show recorded reflections of light beams which suggest condensation on the inner side of the windowpane.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS


FIG. 1 illustrates the functional principle of an embodiment of the invention. The method for detecting rain shown here is based on a camera (1) which is focused on the far range, and a light (3). A light beam (h) produced by a light source (3) is directed to the windowpane (2) in such a manner that the beams reflected by the inner side (2.1) and outer side (2.2) of the windowpane are incident on the objective or the camera (1) as two spatially separated beams (r1, r2). As the camera is focused on the far range, the periphery of the focused beams is shown blurred on the imager. However, both beams (r1, r2) are sufficiently separate, and their images (8, 9) (hereinafter also called light reflections) are recorded by the image sensor.


The light emitted by the light source may be focused. The portion (r1) of the main beam which is reflected on the air-windowpane interface (or inner side (2.1) of the windowpane) serves as a reference beam. The portion which is transmitted (t1) into the windowpane comprises a portion which is reflected on the windowpane-air interface (or outer side (2.2) of the windowpane) and is incident on the camera (1); this portion serves as the measuring beam (r2). The figure does not show the portion of the beam which is reflected several times within the windowpane (2) (on the inner side (2.1), windowpane-air, after it has been reflected on the outer side (2.2), windowpane-air).


The changes produced in the image of the measuring beam in case of rain (4) on the outer side (2.2) of the windowpane will be explained with reference to FIG. 2. When there is rain (4) on the outer side (2.2) of the windscreen (2), the major part of the light (t1) is coupled out, so that the reflected portion (r2′) is reduced accordingly (see FIG. 2). The beam (r1) which is reflected by the inner side (2.1) is not affected by this circumstance.


Based on a comparison of the images of the measuring beam (r2 or r2′) with and without precipitation (4) on the outer side (2.2) of the windowpane and an analysis of the structure of the image of the measuring beam, the type of precipitation (4) can be identified, and a windscreen wiper can be activated accordingly.


To prevent the light (3) from confusing the driver and other road users, near-infrared light may, in particular, be used, to which the CCD imagers or CMOS imagers normally used are highly sensitive.


To ensure non-sensitivity to adverse factors, such as noise, daylight and sunlight as well as other artificial sources of light, a partial or complete temporal modulation of the light source (3), preferably in synchronization with the image readout frequency, is proposed, so that any interference can be subtracted using simple difference methods. This is one approach to improving the signal-to-noise ratio. Another option is suitable spectral filtering: the part of the imager on which the beam pairs (r1, r2/r2′) are incident may be provided with a spectral band-pass with high transmittance for the wavelength of the light (3).



FIG. 3 serves to illustrate the fact that the light reflection (9) of the measuring beam (r2 or r2′) appears as a blurry image of the light source (3), which is mirrored on the outer side of the windowpane. The mirror images of the light source (3′) and of the light beam (h′) are shown schematically by dashed lines.



FIGS. 4a and 4b show seven pairs of light reflections (8, 9) in the upper part (6) of the image sensor (5) intended to detect rain, which are e.g. produced by seven LEDs as the light source (3). As the camera (1) is set to infinity focus, these reflections are shown blurred but can be noticed. In particular, the structure of the light reflections can be analyzed. The lower light reflections (8) are produced by beams (r1) which are reflected on the inner side (2.1) of the windscreen (2), the upper light reflections (9) are produced by beams (r2, r2′) which are reflected on the outer side of the windscreen.


In order to use the camera image for driver assistance functions at the same time, the pairs of focused light (8, 9) should not interfere with the driver assistance image (7). To this end, an area (6) which is located outside the driver assistance image (7) on the imager (5) is selected for rain detection, based on a suitable arrangement and alignment of the light source (3) and the camera (1) relative to the windowpane (2).


A light reflection (9) from the outer side of the windscreen on which an individual raindrop (4) is located has a dark continuous area or an interruption (10). The intensity of this light reflection (9) is reduced since a large part of the beam (t1) transmitted into the windscreen (2) is coupled out (t2′) of the windscreen by the raindrop (4) and is thus not reflected (r2′) back to the camera (1). This light reflection (9) therefore contains information as to whether there is rain (4) on the outer side (2.2) of the windowpane (2), and its structure could be used alone as a measuring signal. The analysis may e.g. be done by detecting patterns or by comparing present and stored and/or learned structural characteristics, e.g. dark continuous partial areas or streaks within a light reflection (9). Also, the structures of several of these light reflections (9) may be compared with one another and/or the changes over time of the structure of at least one of these light reflections (9) may be analyzed. Finally, the structure of a reflection from the outer side of the windowpane may be compared with the corresponding reflection from the inner side of the windowpane as a reference structure.


To largely prevent interference caused by the light (3), an infrared-blocking filter may additionally be deposited on a cover glass of the imager (5), up to the upper edge of the driver assistance area (7). Moreover, a band-pass filter for the wavelength of the light (3) may be deposited on the rain sensor detection part (6), as mentioned hereinbefore.


As an alternative, the filters could also be provided directly on the pixels of the image sensor (5). This would have the advantage that a parallax shift caused by the edge of the different filters for the rain sensor area (6) and the driver assistance area (7) on the cover glass would be avoided. It would be advantageous to use a process corresponding to the current application of the pixel colour filters. In this way, the two areas (6, 7) could be separated accurately, to the pixel, thus avoiding additional mechanical tolerance allowances resulting from the production process. At the same time, colour filters (R, G, B) for the rain sensor area (6) would be omitted, thus increasing the sensitivity relating to rain detection.



FIG. 4a is a schematic illustration of the description contained in the above paragraphs. FIG. 4b illustrates this description by means of a real photo (recorded by the image sensor (5) of the camera (1)), which is provided to demonstrate that this embodiment can actually be realized: three blurry light reflections (8 and 9) from the inner side (2.1) and the outer side (2.2) can be seen here, of which the left reflection from the outer side is partially affected by a raindrop.



FIGS. 5a and 5b are a principle view of a part of the rain sensor area (6) of the image sensor (5) (cf. FIG. 4) when another type of precipitation (4) is present on the outer side (2.2) of the windscreen (2), namely drizzle or light rain falling in very fine drops. The shown light reflections (9) from the outer side (2.2) of the windowpane (2) contain streaks (11), which are recognized in the analysis of the reflections' structure. If drizzle is present on a larger surface of the outer side (2.2) of the windowpane, there will be streaks on all corresponding light reflections (9).


Again, FIG. 5a is a schematic illustration of the above description, while FIG. 5b illustrates this description by means of a real photo.



FIG. 6 schematically shows part of the beam paths (cf. FIGS. 1-3) when there is condensation (12) on the inner side (2.1) of the windowpane (2). In this case, the light reflection (8) appears as a blurry partial beam (r1) which is mirrored on the inner side of the windowpane. The mirror images of the light source (3′) and of the light beam (h′) are shown schematically by dashed lines.


The condensation on the inner side causes the structure of this light reflection to change, compared to the inner side of a windowpane without condensation. If this structural change of the light reflection (8) from the inner side (2.1) of the windowpane is analyzed, it can be reliably determined whether there is condensation or another circumstance affecting optical characteristics on the inner side of the windowpane. The condensation will, by the way, also affect the light reflection(s) from the outer side of the windowpane.


For example, FIGS. 7a and 7b show a part of the rain sensor area (6) of the image sensor (5) (cf. FIG. 5) whose entire surface has a changed image structure, compared to FIGS. 4 and 5, due to condensation (12) on the inner side (2.1) of the windscreen (2). However, it is usually sufficient to analyze the structure of the reflections from the inner side of the windowpane in order to detect condensation or circumstances affecting optical characteristics on the inner side of the windowpane.


Again, FIG. 7a is a schematic illustration of the above description, while FIG. 7b illustrates this description by means of a real photo.


LIST OF REFERENCE SYMBOLS




  • 1 Camera


  • 2 Windowpane


  • 2.1 Inner side of the windowpane


  • 2.2 Outer side of the windowpane


  • 3 Light source


  • 3′ Mirror image of the light source


  • 4 Rain, raindrop


  • 5 Image sensor


  • 6 Rain sensor area


  • 7 Driver assistance area


  • 8 Image of the reflection from the inner side of the windowpane


  • 9 Image of the reflection from the outer side of the windowpane


  • 10 Dark partial area


  • 11 Streaks


  • 12 Condensation on the inner side of the windowpane

  • h Main beam

  • h′ Beam of the mirror image of the light source

  • r1 Portion of h which is reflected on the inner side of the windowpane

  • t1 Portion of h which is transmitted on the inner side of the windowpane

  • r2 Portion of t1 which is reflected on the outer side of the windowpane

  • t2 Portion of t1 which is transmitted on the outer side of the windowpane

  • r2′ is the same as r2 in case of rain on the outer side of the windowpane

  • r2′ is the same as t2 in case of rain on the outer side of the windowpane


Claims
  • 1. A method for detecting rain or precipitation on an outer side of a windowpane, comprising: arranging a camera behind the windowpane and focusing the camera on a far range in front of the windowpane;producing, by a light source, for producing at least one light beam (h) which is directed to the windowpane, wherein the light source directs the at least one light beam (h) to the windowpane in such a manner that: 1) at least one beam (r2; r2′) is reflected by the outer side of the windowpane and is incident on the camera, and2) a beam (r1) is reflected by the inner side of the window pane and is incident on the camera, where the beam (r1) is spatially separated from beams (r2; r2′);recording, by the camera an image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane and the beam (r1) reflected by the inner side of the windowpane; andcomparing, by an image processing means, the structure of the image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane the structure of an image of the at least one beam (r1) reflected by the inner side of the windowpane in order to classify the type of rain or precipitation on the outer side of the windowpane.
  • 2. The method according to claim 1, further comprising: identifying, by the image processing means, patterns in the structure of the image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane.
  • 3. The method according to claim 1, further comprising: deducing, by the image processing means, the presence of an individual raindrop on the outer side of the windowpane based on a continuous partial area with reduced intensity in the image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane.
  • 4. The method according to claim 1, further comprising: deducing, by the image processing means, the presence of drizzle and/or light rain falling in very fine drops on the outer side of the windowpane based on streaks in the image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane.
  • 5. The method according to claim 1, further comprising: directing, by the light source, the at least one light beam (h) to the windowpane in such a manner that beams (r1; r2 or r2′) reflected by an inner side and the outer side of the windowpane are incident on the camera as at least two spatially separated beams (r1; r2 or r2′), andrecording, by the camera, an image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane and an image of the beam (r1) reflected by the inner side of the windowpane.
  • 6. The method according to claim 5, further comprising: detecting, by the image processing means, condensation on the inner side of the windowpane based on tan analysis of the image of the beam (r1) reflected by the inner side of the windowpane.
  • 7. The method according to claim 6, further comprising: analyzing, by the image processing means, the structure of the image of the beam (r1) reflected by the inner side of the windowpane.
  • 8. The method according to claim 6, further comprising: analyzing, by the image processing means, the amount of light of the image of the beam (r1) reflected by the inner side of the windowpane.
  • 9. A device for detecting rain or precipitation on a windowpane, comprising: a camera which is arranged behind the windowpane, which camera is focused on a far range in front of the windowpane;a light source for producing at least one light beam (h) which is directed to the windowpane, wherein the light source directs the at least one light beam (h) to the windowpane in such a manner that: 1) at least one beam (r2; r2′) is reflected by the outer side of the windowpane and is incident on the camera, and2) a beam (r1) is reflected by the inner side of the windowpane and is incident on the camera, where the beam (r1) is spatially separated from beams (r2; r2′);an image processing means configured to analyze the structure an image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane, and compare the structure of the at least one beam (r2; r2′) to the structure of an image of the beam (r1) reflected by the inner side of the windowpane in order to classify the type of rain or precipitation on the outer side of the windowpane.
  • 10. The method according to claim 2, further comprising: analyzing, by the image processing means, the structure of the image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane by comparing present with stored and/or learned structural characteristics.
  • 11. The method according to claim 7, further comprising: analyzing, by the image processing means, the amount of light of the image of the beam (r1) reflected by the inner side of the windowpane.
  • 12. The method according to claim 1, further comprising: comparing, by the image processing means, present and stored and/or learned structural characteristics of the structure of the image of the at least one beam (r2; r2′) reflected by the outer side of the windowpane.
  • 13. The device according to claim 9, wherein the light source directs the at least one light beam (h) to the windowpane in such a manner that the beams (r1; r2 or r2′) reflected by an inner side and the outer side of the windowpane are incident on the camera as at least two spatially separated beams (r1; r2 or r2′).
Priority Claims (1)
Number Date Country Kind
10 2012 103 873 May 2012 DE national
PCT Information
Filing Document Filing Date Country Kind
PCT/DE2013/100155 4/26/2013 WO 00
Publishing Document Publishing Date Country Kind
WO2013/163991 11/7/2013 WO A
US Referenced Citations (75)
Number Name Date Kind
4515443 Bly May 1985 A
4741605 Alfredsson May 1988 A
5498866 Bendicks Mar 1996 A
5923027 Stam Jul 1999 A
5987152 Weisser Nov 1999 A
6137529 Kunimitsu Oct 2000 A
6331819 Hog Dec 2001 B1
6376824 Michenfelder Apr 2002 B1
6392218 Kuehnle May 2002 B1
6452148 Bendicks Sep 2002 B1
6555804 Blasing Apr 2003 B1
6614015 Ba Sep 2003 B1
6617564 Ockerse Sep 2003 B2
6727342 Bastioli Apr 2004 B1
6841767 Mindl Jan 2005 B2
6968073 O'Boyle Nov 2005 B1
7208962 Sun Apr 2007 B2
7253898 Saikalis Aug 2007 B2
7259367 Reime Aug 2007 B2
7609857 Franz Oct 2009 B2
7612356 Utida Nov 2009 B2
7646889 Tsukamoto Jan 2010 B2
7855353 Blaesing Dec 2010 B2
7863568 Fleury Jan 2011 B2
8274562 Walter Sep 2012 B2
8541732 Rothenhaeusler Sep 2013 B2
8913132 Seger Dec 2014 B2
8913133 Huelsen Dec 2014 B2
20020003571 Schofield Jan 2002 A1
20020020804 Bauer Feb 2002 A1
20020081029 Marugame Jun 2002 A1
20020121972 Schofield Sep 2002 A1
20020148987 Hochstein Oct 2002 A1
20030066955 Schaub Apr 2003 A1
20030201380 Ockerse Oct 2003 A1
20040004456 LeBa Jan 2004 A1
20040164981 Fujita Aug 2004 A1
20040165749 Holz et al. Aug 2004 A1
20050035926 Takenaga et al. Feb 2005 A1
20050063071 Wang Mar 2005 A1
20050206511 Heenan et al. Sep 2005 A1
20050231725 Franz Oct 2005 A1
20050254688 Franz Nov 2005 A1
20060076477 Ishikawa Apr 2006 A1
20060163458 Reime Jul 2006 A1
20060191215 Stark Aug 2006 A1
20070075220 Kotani Apr 2007 A1
20070216768 Smith Sep 2007 A1
20070267993 Leleve et al. Nov 2007 A1
20070268470 Shibazaki Nov 2007 A1
20080027607 Ertl Jan 2008 A1
20080049344 DeWard Feb 2008 A1
20080085755 Okada Apr 2008 A1
20080185603 Itoi Aug 2008 A1
20080265134 Kinoshita Oct 2008 A1
20080283782 Blaesing Nov 2008 A1
20080296577 Yuan Dec 2008 A1
20090085755 Schafer Apr 2009 A1
20090128629 Egbert May 2009 A1
20090201366 Sase Aug 2009 A1
20100208060 Kobayashi Aug 2010 A1
20110031921 Han Feb 2011 A1
20110043624 Haug Feb 2011 A1
20110128543 Choi Jun 2011 A1
20110204206 Taoka Aug 2011 A1
20110253917 Rothenhaeusler Oct 2011 A1
20110273564 Seger Nov 2011 A1
20110280026 Higgins-Luthman Nov 2011 A1
20120026318 Huelsen Feb 2012 A1
20120026330 Huelsen Feb 2012 A1
20120153154 Rothenhaeusler Jun 2012 A1
20130235381 Kroekel et al. Sep 2013 A1
20140300738 Mueller Oct 2014 A1
20140321709 Kasahara et al. Oct 2014 A1
20150034827 Krokel Feb 2015 A1
Foreign Referenced Citations (51)
Number Date Country
4417385 Nov 1995 DE
19504606 Aug 1996 DE
19704818 Aug 1997 DE
20207170 Aug 2002 DE
10230200 Jan 2004 DE
19700665 Jul 2004 DE
10303046 Oct 2004 DE
10316794 Nov 2004 DE
10322010 Dec 2004 DE
10355205 Jul 2005 DE
102004015040 Oct 2005 DE
102004037871 Mar 2006 DE
102005004513 Mar 2006 DE
102006016774 Oct 2006 DE
102006008274 Aug 2007 DE
102006010671 Sep 2007 DE
102006022404 Nov 2007 DE
102007061725 Jun 2009 DE
102008043737 May 2010 DE
102009000003 Jul 2010 DE
102009000004 Jul 2010 DE
102009000005 Jul 2010 DE
0832798 Apr 1998 EP
1440856 Jul 2004 EP
1507138 Feb 2005 EP
1580092 Sep 2005 EP
1707946 Oct 2006 EP
1764835 Mar 2007 EP
1923695 May 2008 EP
574133 Jan 1982 JP
0461379 Feb 1992 JP
11234474 Aug 1999 JP
2003315256 Nov 2003 JP
2005292544 Oct 2005 JP
2006184844 Jul 2006 JP
2007309655 Nov 2007 JP
2009092453 Apr 2009 JP
2009098477 May 2009 JP
2010096604 Apr 2010 JP
03029757 Apr 2003 WO
03060826 Jul 2003 WO
2003097420 Nov 2003 WO
2005075248 Aug 2005 WO
2006015905 Feb 2006 WO
2006024247 Mar 2006 WO
2006121954 Nov 2006 WO
2009020918 Feb 2009 WO
2010072198 Jul 2010 WO
2010076064 Jul 2010 WO
2010076066 Jul 2010 WO
2012163341 Dec 2012 WO
Non-Patent Literature Citations (3)
Entry
International Search Report for PCT/DE2013/100155 mailed Jul. 24, 2013.
International Preliminary Report on Patentability and English translation of the Written Opinion of the International Searching Authority for International Application No. PCT/DE2011/001749 mailed Jun. 4, 2013.
International Search Report for International Application No. PCT/DE2011/001749 mailed Mar. 29, 2012.
Related Publications (1)
Number Date Country
20150034827 A1 Feb 2015 US