Driver assistance system for vehicle

Abstract
A driver assistance system for a vehicle includes an imaging sensor and a control. The control processes image data captured by the imaging sensor to determine the presence of an object of interest in the scene monitored by the imaging sensor. The control adjusts a vehicle accessory and/or headlamp of the vehicle at least in part responsive to determination of the presence of the object of interest in the monitored scene. The control receives vehicle data via a communication bus of the vehicle, with the vehicle data including at least one of (i) vehicle speed data and (ii) vehicle trajectory data. At least in part responsive to receiving vehicle data, the control inhibits adjustment of the vehicle accessory from a first state to a second state. The control is operable to process captured image data to determine the presence of lane markers in the monitored scene.
Description
FIELD OF THE INVENTION

The present invention relates to automatic headlamp control systems for vehicles and, more particularly, to automatic headlamp control systems that automatically adjust the high and low beam states of a vehicle headlamp.


BACKGROUND OF THE INVENTION

Automotive forward lighting systems are evolving in several areas including the use of image-based sensors, typically referred to as Automatic High Beam (AHB) control systems, to maximize the use of high beam road illumination when appropriate, the use of steerable beam systems, typically referred to as Adaptive Front Lighting (AFL) systems, to provide a greater range of beam pattern options particularly for driving on curved roads or during turn maneuvers wherein the beam pattern may be biased or supplemented in the direction of the curve or turn, and the combination of such AHB and AFL systems.


U.S. Pat. No. 6,097,023 (which is hereby incorporated herein by reference in its entirety) describes an automatic high beam control system which utilizes an optical system, an image sensor, and signal processing including spectral, spatial and temporal techniques to determine ambient lighting conditions, the road environment, and the presence of other road users in order to automatically control the selection of the appropriate forward lighting state such that user forward vision is optimized while minimizing the impact of headlamp caused glare on other road users in all lighting conditions.


While AHB systems that utilize the features and concepts described within the above identified U.S. patent have achieved performance levels that have resulted in considerable commercial success, it is desired to provide additional features and techniques, which may increase the utility, improve the performance, facilitate the manufacture, and simplify the installation of such systems.


SUMMARY OF THE INVENTION

The present invention provides an automatic headlamp control system that is operable to automatically control or adjust the high beam state of a vehicle's headlamps. The headlamp control system is operable to spread out or de-focus a captured image to spread out the imaging of a light source so that an image of a distant light source is captured by at least two pixels of an image array sensor. The image array sensor thus may receive at least a portion of the light source (which may be a red tail light of a leading vehicle) on a red sensing pixel to enhance early detection of the distance tail light. The headlamp control system may provide enhanced control of the headlamps when the vehicle is driven around curves or bends in the road and may be operable in response to a steering wheel angle of the vehicle. The headlamp control system may be adjustable to align the optical axis of the imaging system with a vehicle axis in response to detection of light sources and tracking of movement of the light sources as the vehicle travels along the road.


These and other objects, advantages, purposes and features of the present invention will become apparent upon review of the following specification in conjunction with the drawings.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a sectional view of an accessory module and image sensing device and processor in accordance with the present invention;



FIG. 2 is a perspective view of the accessory module as seen through the windshield of a vehicle;



FIG. 3 is a side elevation and partial sectional view of an image sensing device useful with the present invention;



FIG. 4 is a plan view of an array of photo sensors of an image sensing device of the present invention;



FIG. 5 is a side elevation of a lens and image sensing device of the present invention;



FIG. 6 is another side elevation of a lens and image sensing device similar to FIG. 5;



FIG. 7 is a schematic of a focused light source and de-focused light source as captured by pixels of an imaging sensor;



FIG. 8 is a side elevation of a lens and image sensing device of the present invention;



FIG. 9 is a chart showing the region of interest and average time gained in low beam for several vehicles as the vehicles travel around different degrees of curvatures in the road;



FIG. 10 is a perspective view of a lens and image sensing device of the present invention;



FIGS. 11A-D are schematics of a quad of pixels of an image sensor in accordance with the present invention;



FIG. 12 is a graph of a plurality of line profiles generated in accordance with the present invention;



FIG. 13 is a graph of the slope of the line profiles of FIG. 12;



FIG. 14 is a graph of the edge slope vs. focal distance for the focusing algorithm of the present invention;



FIG. 15A is a perspective view of a lens holder in accordance with the present invention; and



FIG. 15B is a plan view of the lens holder of FIG. 15A.





DESCRIPTION OF THE PREFERRED EMBODIMENTS

In order to facilitate the description of features and enhancements, some specific configurations, to be reviewed in conjunction with the drawings, is described below. It will be understood that the components and values described are for illustrative purposes and do not limit the scope of the disclosed invention.


With reference to FIG. 1, a vehicle 10 includes an automatic high beam control system 11 made up of an optical system 12, an image sensor 13, a digital processor 14, a printed circuit board assembly 15, which contains all the necessary electronic components and interconnections to support operation of the image sensor 13 and digital processor 14, a connection 16 to the vehicle wiring system, and a housing assembly or accessory module or windshield electronics module 18.


The optical system 12 is held by features of the housing assembly 18 in a constrained spatial relationship with the image sensor 13, such that an optical system axis 17 is perpendicular to the active plane of the image sensor 13 and passes generally through its center point, and such that the distance between the optical system 12 and the image sensor 13 may be adjusted to bring the optical system focal plane into a predetermined relationship with the active plane of the image sensor 13 during the manufacturing process and thereafter locked in position. The housing assembly may utilize aspects of the modules or assemblies described in U.S. Pat. Nos. 6,968,736; 6,877,888; 6,824,281; 6,690,268; 6,672,744; 6,593,565; 6,516,664; 6,501,387; 6,428,172; 6,386,742; 6,341,523; 6,329,925; and 6,326,613; 6,250,148; and 6,124,886, and/or U.S. patent application Ser. No. 10/456,599, filed Jun. 6, 2003, now U.S. Pat. No. 7,004,593; Ser. No. 10/538,724, filed Jun. 13, 2005 and published Mar. 9, 2006 as U.S. Publication No. US-2006-0050018, and/or Ser. No. 11/201,661, filed Aug. 11, 2005, now U.S. Pat. No. 7,480,149, and/or PCT Application No. PCT/US03/40611, filed Dec. 19, 2003; PCT Application No. PCT/US03/03012, filed Jan. 31, 2003, and/or PCT Application No. PCT/US04/15424, filed May 18, 2004, and/or Ireland patent applications, Ser. No. S2004/0614, filed Sep. 15, 2004; Ser. No. S2004/0838, filed Dec. 14, 2004; and Ser. No. S2004/0840, filed Dec. 15, 2004, which are all hereby incorporated herein by reference in their entireties.


The accessory module or housing assembly 18 includes an outer housing 18a that is removably attached to an attachment plate 19, which is fixedly attached to the upper central region of the inside surface of the vehicle's windshield 20 such that the optical system axis 17 is substantially horizontal and substantially parallel to the vehicle's principal central axis. The housing assembly and attachment plate. Preferably, the housing assembly 18 is positioned at the windshield such that the light rays that pass through the optical system 12 to the image sensor 13 also pass through a portion of the vehicle's windshield swept by the vehicle's windshield wiper system.


As shown in FIG. 3, optical system 12 includes a lens 31, or combination of lenses or optical elements, with a focal length f (such as a focal length of, for example, about 4.5 mm), an optical stop, N (such as an optical stop of, for example, about 1.8) and a spherical field of view (FOV) 34 (such as about 60 degrees). Optical system 12 also includes a cylindrical lens holder 32, an infrared filter 33, and an image sensor 13 positioned with its active surface perpendicular to optical axis 17. The infrared filter 33 facilitates the determination of color attributes within the visible light spectrum of objects within the monitored scene by preventing near infrared energy, with a wavelength above about 750 nm, from reaching the image sensor 13, and may be optionally placed at the front (object side) or back (image side) of the optical system 12, between the optical system 12 and image sensor 13, or on the surface of the image sensor 13. The optical system and lens holder and sensor may be located at an imaging sensor module, such as by utilizing aspects of the modules described in U.S. patent application Ser. No. 10/534,632, filed May 11, 2005, now U.S. Pat. No. 7,965,336, and/or U.S. provisional application Ser. No. 60/731,183, filed Oct. 28, 2005, which are hereby incorporated herein by reference in their entireties.


The image sensor 13 is preferably, but not limited to, a CMOS photosensor array, such as part number MT9V125 produced by Micron Corporation, with 640 rows and 480 columns of 5.6 micron square photosensor elements and circuitry to measure the quantity of photons that impinge each photosensor element during a controllable period of time. In the described configuration, the image sensor is oriented such that the 640 photosensor rows are horizontal and the 480 columns are vertical. Thus, in combination with the optical system 12, the image sensor 13 has about a 48 degree horizontal field of view and about a 36 degree vertical field of view.


In order to extract color information from the image or image data, one of a number of filter types, each able to transmit a particular band of wavelength, covers the active surface of each of the photosensor elements of the array. The most commonly used color filter pattern, and therefore the most economically available as a standard feature of a commercially available image sensor, is the Bayer pattern in which either a blue, green or red pass filter is applied to the surface of each of the image sensor photosensor elements, such as shown in FIG. 4. Alternate rows of the photosensor elements may be covered by alternating red and green filters and alternating blue and green filters such that every 2 by 2 block of photosensors within the array contains one red filter, one blue filter and two diagonally opposite green filters. Since each photosensor is filtered to measure only the blue, green or red light energy content of the portion of the image formed by the optical system at its active surface, it is necessary to combine the measured values of filtered light from each of the photosensors of a 2 by 2 block such that an interpolated red, green and blue color value (RGB) may be assigned to the center point of the block. The color value for each of the 2 by 2 blocks of the array is calculated, thus creating a 639 by 479 array of color values with the same spacing as the photosensor array. This array of color picture elements is commonly termed a pixel array. A variety of algorithms may be used to perform this interpolation, commonly termed demosaicing, and the particular algorithm may be selected depending on the particular the application, the desired final image quality and available computing power. For the AHB control system described herein, each pixel RGB value is derived by combining the red value, the average of the two green values, and the blue value of its associated four photosensor elements.


Optionally, the imaging device or module may comprise an imaging or intelligent headlamp control (IHC) module. For example, a intelligent headlamp control module may have a dimensionally small cavity around a lens holder 132 (FIGS. 15A and 15B), thus making threaded lens insertion very difficult in an automated lens insertion situation. In order to manufacture such an IHC module or lens holder 132, crush ribs 132a may be disposed or established at an interior surface of the barrel 132b of the lens holder. By introducing vertical crush ribs to the barrel, the axes of motion are decreased to one. In a threaded lens situation, the automated lens insertion procedure could have as many as four axis of motion, thus increasing the cost of the module or system.


In order to accommodate the crush ribs, several lens modifications may be needed, since a typical existing lens often has threads which may bind in the crush ribs. Thus, in order to accommodate the crush ribs, the lens may be manufactured or modified to have a smooth bore in order to engage the control surfaces of the ribs evenly along the barrel of the lens holder.


The crush rib feature of the lens holder secures the lens during manufacture. However, it is desirable to apply an adhesive at the lens holder and lens to substantially permanently attach the lens to the plastic barrel of the lens holder. Lateral grooves around the barrel of the lens may be provided to allow the flow of adhesive around the lens for a more uniform lens attachment or securement. Such grooves do not interfere with the crush ribs during insertion as much as threads would and allow the flow of adhesive greater than a substantially smooth bore.


In order to control alignment and precision of the insertion of the lens down the barrel (toward and away from the imager), a gripper may be provided to isolate the head of the lens between two overlapping control surfaces that would hold the lens and control the toward and away (from the imager) motion during the focusing process.


The control surface of the printed circuit board (PCB) during the lens insertion process preferably facilitates several criteria, both mechanical and electrical, during such an automated process. The nest may secure the imager board and backplate simultaneously in a repeatable orientation for lens insertion. The nest may also allow for electrical attachment to the ECU by way of pogo pins or the like during the focusing process. It may also articulate in order to secure the ECU board to the backplate after the focusing process.


In order to achieve enhanced AHB control system performance, it is desirable to detect the tail lamp of a leading vehicle at about 200 meters. The minimum tail light emitting surface area to meet legal requirements is about 50 cm2, which can be achieved using about an 80 mm diameter circular or about a 71 mm square emitting surface. However, in most cases, tail lamp designs are driven by vehicle styling considerations and a desire on the part of vehicle manufacturers to exceed minimum requirements by a safe margin. Such design and styling constraints often result in tail lamp emitting surfaces with either a horizontal or vertical dimension of at least about 125 mm.


Using the above described optical system 12 and imaging array 13, each photosensor element of the array has an effective horizontal field of view FOVph and an effective vertical field of view FOVpv, where:

FOVph=FOVpv=48 degrees/640 pixels=0.075 degrees/pixel.

Thus, each photosensor element of the array subtends a region of a vertical plane at distance R meters from the imager, which measures ph by pv where:

ph=pv=FOVph×R×1000×PI/180 mm=1.309×R mm.


Thus, at a distance of about 200 m, the portion of the forward scene subtended by each photosensor element of the array measures about 262 mm by about 262 mm, which is approximately twice the dimension of a typical tail lamp of a vehicle. Since the dimension of the image of a tail lamp at about 200 meters is in the order of half that of a photosensor element, it is possible that the tail lamp image will lie entirely on the blue and green detecting photosensor elements of a 2 by 2 block of photosensor elements, and thus may result in a pixel value with no red content. In order to assure that the red content of the image of the tail lamp at about 200 meters is measured and results in a red component of the calculated pixel color value, it is desirable that the tail lamp image dimension be in the order of about one and a half times that of a photosensor element, such that no matter where it lies or is received on the photosensor array it will cover at least a portion of at least one red detecting photosensor.


This could be achieved by reducing the field of view of the optical system by a factor of about three, resulting in a horizontal field of view of about 16 degrees and a significant reduction in other aspects of system performance. It could also be achieved by increasing the number of photosensor elements in each row of the image sensor by a factor of about three, with a corresponding reduction of photosensor element dimension, or by increasing the number of photosensor elements in each row of the image sensor by a factor of about three, maintaining the photosensor element dimension, and changing the optical system specification in order to maintain about a 48 degree horizontal field of view. However, this is typically not a practical solution due to the cost or availability of such image sensors and the cost of the additional processing capacity required to handle the significantly increased amount of image data.


It is thus an aspect of the present invention to increase the effective size of the image at the image sensor of a tail lamp at 200 meters, so that its presence and color may be detected, without changing the optical system or image sensor and while maintaining the ability to perform other object detection tasks to support additional features and functions, such as described below.


The following analysis of the optical system contained within the AHB control system will serve to explain the principles used to establish an optimal configuration.



FIG. 5 shows an imaging device having a thin lens 31 with focal length f mm, effective diameter a mm, and optical stop N, where N=f/a. An object plane OP, which is perpendicular to the optical axis of lens 31 and at a distance s mm from its optical center, and an image plane 13a parallel to the object plane at a distance d mm from, and on the opposite side of, the optical center of lens 31. The focal length f is the distance from the optical center of lens 31 to the point at which light rays from a distant point on the optical axis 17 converge. Light rays that pass through lens 31 behave according to the thin lens equation 1/s+1/d=1/f. Thus, an image of the point P on the object plane OP is in focus at point I on the image plane 13a.



FIG. 6 shows the same configuration as FIG. 5 with the addition of a point P′ at distance s′ from the optical center of the lens 31. According to the thin lens equation (1), a focused image of point P′ would be formed at point I′ which is at distance d′ from the optical center of the lens. However, since the image plane 13a has remained at the distance d from the lens, the light rays from point P′ continue through point I′ and diverge until they reach the image plane 13a resulting in an unfocused image of point P′ with diameter C, commonly termed the circle of confusion.

For a thin lens: 1/s+1/d=1/f  (1)
or: d=f×s/(s−f)
similarly: d′=f×s′/(s′−f)
by similar triangles: C=a×(d−d′)/d′
by definition: a=f/N
by substitution: C=f2×(s′−s)/N×s′×(s−f)  (2)


Consider now the object point to be replaced by a circular uniform light source of diameter D. When placed at point P, the image of the disc at the image plane would appear as a focused disc of diameter D′ with uniform intensity (such as shown at A in FIG. 7). A plot of image intensity across an extended diametral line would appear as line A′ with a step change from background image intensity to disc image intensity. When placed at point P′, the previously described circle of confusion, with diameter C, would be created at the image plane 13a for each point on the disc, resulting in an unfocused image of the disc with diameter D″, where D″=D′+C (such as shown at B in FIG. 7). A plot of image intensity across an extended diametral line would appear as line B′ with gradual change from background intensity to full disc image intensity over a distance equal to the circle of confusion, C.


Rearranging equation (1) to solve for s:

s=f×s′×(C×N+f)/(C×N×s′+f2)  (3)


For the optical system described above, f=4.5 mm and N=1.8. Thus, C=0.0056 mm, s′=200 m, and s=1.933 m. Thus, the same amount of light energy has been distributed over a greater image area. By focusing the lens to focus an image of an object P that is about 1.993 m from the lens, the defocused object P′ at about 200 m from the lens will be defocused to have a diameter that will allow the image to be received by more than one pixel of the imaging array sensor or camera. Such an expanded image of the light source (by de-focusing the image of an object at about 200 meters) will be received by more than one pixel and will be at least partially received by a red sensing pixel so that the system can determine whether or not a distant light source is a red light source and thus whether or not the distant light source may be a taillight of a leading vehicle.


Focusing or adjustment of the lens may be performed via any suitable focusing means, such as a linear slide mechanism that has a high resolution motor and controller, such as an MX-80 miniature slide with a Vix 250 IM motion controller commercially available from Parker-Hannifin. Such as slide mechanism and motor may provide a resolution of about 1 μm and a repeatability of about 2 μm or thereabouts. Such characteristics make good resolution possible across the focus range so that the captured image data will illustrate or approximate an enhanced or optimum focus value.


Once an image was loaded by the software, the image may be analyzed by many different means including line profiles and color analysis. For the processing of the image data, a processor system or software, such as Data Translation's DT Vision Foundry©, may be used to analyze the images using software masks or regions of interest (ROI's). The exemplary DT Vision Foundry© software provides an imaging software designed to assist machine vision systems in operation, programming, and data management.


The imaging software was used to process image ROI's using a line profile tool. The line profile tool examines the pixel gain values which the line mask lays. The line profile tool graphically illustrates the gain values across the mask. It also may provide a data export tool which enables the user to view and manipulate the intensity values gathered from the imager.


Imager color values are independent to a color pixel. Four pixels in a grid pattern, as shown in FIG. 11A, are often referred to as a “quad”. The values taken from the imager are typically intensity or gain values (0 to 255) from the pixels in the quad. There are many different ways in which displays and compilers interpret the intensity values from the imager. The most straight forward way is to collect each pixel's intensity value and compile it into a 64-bit RGGB image. This method of compilation yields enhanced resolution because all of the pixel data is transferred; however, the file sizes may be very large. Many software designers use compression techniques to keep the file sizes lower.


The first method of compression is to get the maximum pixel value from the green pixels in the quad. The second green pixel in the quad is set to the maximum green pixel's value. This method works well in most applications. However, since focus is directly related to the sharpness of the edges of the target in an image, the green pixel values should not be extended to allow the edge to appear sharper than it is. As shown by the edges B and C in FIGS. 11C and 11D, if the edge of the target image lies across the imager in a vertical orientation bisecting the two green pixels of the quad, the second green pixel is then set to the maximum green pixel. This allows for a false edge to be seen by the image processing software. One way that the quad detects the edge correctly is if the edge of a target bisects the green pixels of the quad evenly, as shown by edge A in FIG. 11B. To counter this effect, software designers often average the green pixels together to allow the pixel to take into account the pixel effected by the edge of a target image.


While some visual resolution may be lost by averaging the green pixels, for matters of image processing the data is typically more telling. If the target image edge falls on the imager, such as edge B or C of FIGS. 11C and 11D, the value will be less than the maximum value because the green pixels in the quad are averaged. By examining the difference in intensity value of the quads either side of the averaged edge quad, the edge location within the quad can be approximated.


Focus is directly related to the sharpness of the edges of the target image. Optionally, two image processing tools may be used: a histogram and a line profile. After image data are captured and stored, the automatic focus software processes the image data with a histogram tool. A histogram of a region of interest (ROI) in an image will illustrate, using a bar graph, the number of pixels at their respective intensity value. The theory behind using a histogram is that as a black and white target image is processed, a more focused image would have more pixels in extremes and fewer pixels in the medium intensity range. However, in order to create an algorithm to focus the imager, a more perceivable pattern to predict the focal distance was needed.


Optionally, and desirably, the intelligent headlamp control (IHC) may focus by capturing individual picture frames and measuring a line profile through a target image consisting of several dark bars separated by different spacing. After finding the line profiles across the target, the slope of the line profiles is calculated to find the sharpness of the edges of the target image. If the target image is sharp (in focus), the peak of the slope will be abrupt and large. If the edges of the target image are blurry, the peak of the slope will be smaller and less abrupt (as can be seen with reference to FIG. 13).


Thus, a line profile tool may be implemented to examine the pixels in a one dimensional mask or line. Such a line profile tool charts the intensity values detected by the imager along the line mask, such as shown in FIG. 12. By using the line profile tool, the edges of the target image are able to be examined. The theory used for the line profile is that as the line mask crossed from a black to white or vise versa target area, the detected intensity value curve would have less of a slope in an unfocused image than a more focused image. The imaging software may include a derivative function to find the slope of the line profile as shown in FIG. 13.


To find the slope, the intensity value of the pixels in the line profile can be calculated in several ways. However, in order to simplify the calculation, the following method to find slope was derived:










Y
n

-

(

Y

n
-
1


)




X
n

-

(

X

n
-
1


)



=

S
n


;





where Y is the intensity value of the pixels 1, 2, 3, 4 . . . n, and X is the position of that pixel along the line profile.


Once the slope had been determined by the above equation, the maximum and minimum slopes from that image were recorded along with the reference distance away from the starting back focal length as shown in FIG. 14. As the images are processed, a pattern exists that references the maximum and minimum slopes to focal length. This focal length curve is the basis of the software algorithm.


After the slope of the line profile has been plotted, the slope can be plotted against the back focal distance by finding the maximum and minimum slope. As shown in FIG. 14, the correlation between rising edge slopes of several line profiles and back focal distances may be determined. Once near-focus has been achieved, the curve of FIG. 14 provides a reference to the nominal back focal length and creates a quick focus procedure.


After creating several “Slope vs. Distance” curves, the tolerance range for the back focal distance may be approximately ±100 microns from nominal. The tolerance specification given for the lens may be ±210 microns. These tolerance stack-ups require an individual focus for each lens to imager combination.


Using the same line profile slope plot as in FIG. 13, the pixel length of the target image can be found to verify magnification. Since the size of the target is critical in the IHC algorithm, the magnification needs to be verified during focus calculations. To verify the magnification of the lens, the distance, in pixels, is measured between the peak rising edge slope and the peak falling edge slope taken from a target near the center of the field of view. That pixel length is verified against a predetermined value for that target. The production target has not been designed making that pixel length variable to the target.


The software design of the automated focus system is a closed loop software controlled system that utilizes the focus curve as shown in FIG. 14 as a virtual feedback. The design proposal for the focus algorithm created by the author is as follows:


move slide to preset near focus distance (greater than nominal focal distance);


capture image and process line profiles;


increment slide toward imager by 25 steps (microns);


capture image and process line profiles;


repeat steps 3 and 4 one or more times;


calculate present focal distance according to pre-calculated focal curve;


move to nominal focal distance according to pre-calculated focal curve; and


capture image and verify correct focal distance with line profile and histogram.


Since a single line profile may allow for failure in the above process, many line profiles are preferably examined and averaged in order to effectively focus a lens to an imager in a production setting. However, the single line profile used in experimentation exhibits the predictability and repeatability of the focal length curve.


Thus, the software needed to control the auto-focus system should accomplish three things: (1) control the imager; (2) calculate image data; and (3) control the slide table for adjustment. In order to control the imager, the digital video signal from the imager may be coming in through USB, and the software may capture individual frames for calculation upon command. The software also may be capable of reading and writing exposure and gain values for image capture.


The GUI must be able to interactively place and store multiple line ROI's in order to take measurements across the image. Line profiles that correlate with the line ROI's are calculated to find the measure of focus at that specific position. The derivative of each line profile is taken in order to find the slope of the line profile. After these calculations are complete for one image, the peak slopes from each line profile will be averaged together. This number will be compared to a stored table that the program will be able to access in order to find the approximate distance (number of steps) away from nominal focus. After the nominal focus has been reached by means of line profile, the GUI is able to calculate histograms from multiple rectangular ROI's. These histograms may reveal the percentage of data between the two peaks of the histograms, and the control may average that percentage to give a validation to the line profile. The software and control are further able to either virtually or physically interface to the slide controller package in order to input distances and command operations to the slide controller.


After completing several iterations of the focus experiment, several conclusions were made. The target design should have a white object on a black background with angled edges by which line profiles and histograms may discern a sharp focused edge. The histogram method of detecting focus was adequate for detecting focus. However, this method required the motion control to step through many increments of focal length until the histogram criteria reached acceptable limits. Although this method would be adequate and relatively simple to implement, the line profile method revealed a more calculable and immediate pattern of focus.


The line profile method of measuring focus is readily chartable and predictable across the focal distance range. However, although the boundary region between a white and black target may be readily examined, whereby the sharpness of the target is only measured at that point in the target image, more line profiles may be needed to be performed across the image for real-world or non black and white target applications.


Thus, the mathematical algorithm and the curve data methodology discussed above may be implemented as a focus algorithm for present and future forward facing imager systems (and optionally rearward facing imager systems and/or sideward facing imager systems and the like). Although each imager and lens combination will have its own focus curve data, the initial data collection will be a minimal component to the setup procedure. Preferably, the focus can and should be attained by going directly to a calculated focal distance processed by initial out-of-focus images captured by the imager. By using this procedure, attaining focus in a production scenario can be greatly hastened.


Real lenses do not typically focus all rays perfectly due to spherical or other aberrations, diffraction effects from wave optics and the finite aperture of the lens, resulting in an unfocused image with a circle of confusion CL, which is an essentially constant value dependent on lens quality and independent of the distance of the object or the image from the optical center of the lens. The combined effects result in a total circle of confusion CT for images received by the image sensor. Further, the magnification M of the lens is defined as the ratio of the image dimension LI to the object dimension LO. Thus, M=LI/LO.


High volume component manufacturing and assembly processes used in the production of optical systems at low cost typically result in part to part variations in their optical characteristics. Additionally, dimensional tolerances are associated with the manufacture of the housing assembly components, with the placement of the imaging array die in its package, and with the placement of the imaging array on the printed circuit board assembly.


Forward facing image capture and signal processing components, such as incorporated in the described AHB control system, may be used to obtain information regarding the location, movement and other characteristics of many objects of relevance to the driving task or operation of the vehicle within the image sensor's field of view, in order to provide additional features and functions, such as, but not limited to, traffic lane detection and lane departure warning, traffic sign recognition, traffic light status detection, fog detection, rain sensing, and/or to supplement or complement the use of other sensors or sensing technologies in the provision of other features and functions such as, but not limited to, adaptive cruise control, pre-crash sensing, pedestrian detection, etc., thus increasing the utility and value of the AHB control system and reducing the cost and space requirements associated with providing each of the features and functions as independent stand-alone systems.


In order to provide optimum detection and characterization of the wide range of objects of relevance or interest in support of the above listed features and functions, amongst others, under a wide range of lighting conditions, it is necessary to consider the requirements of each detection task or group of similar detection tasks.


Typical fixed beam forward lighting systems offer two beam patterns, low and high, with low beam preferably providing the maximum forward and lateral road illumination without causing direct glare to other oncoming or leading vehicle operators such that it may be used in all driving conditions, and high beam preferably providing the maximum forward illumination range with reduced lateral coverage to provide improved forward visibility during night driving when other road users are not present within the extended illuminated region, that is, the region in which they would be subject to glare from the vehicle's high beam headlamps.


Optionally, AHB control systems may incorporate a low speed threshold below which high beam selection is inhibited, in order to avoid activation of high beams when unnecessary, such as when driving at a speed which is safe given the forward visibility provided by the low beam lighting, or when undesirable, such as when driving on city roads.


There are, however, circumstances above this low speed threshold in which it is desirable to maintain, or switch to, a low beam state, even in the absence of other road users in the high beam illumination region. One such circumstance occurs when the vehicle is driven round a bend with a short radius of curvature. In this situation the value of the long range illumination resulting from the use of high beams is reduced since it is not aligned with the vehicle trajectory and typically illuminates off road regions. However, the wider short range beam pattern resulting from the use of low beams can provide increased illumination along the left or right hand curving vehicle trajectory.


Thus, an aspect of the present invention is to improve existing AHB control systems by inhibiting high beam selection when improved relevant road illumination may be provided by the use of low beam headlights, and in particular when the radius of curvature of the current, or instantaneous, vehicle trajectory falls below a predetermined threshold value.


The threshold value is ideally determined based on the specific high and low beam patterns generated by the lighting equipment installed on the vehicle. Additionally, since headlight beam patterns are typically asymmetric, and since the distance to the edge of the road is different when driving round a left or right hand curve, the left and right hand vehicle trajectory radius of curvature threshold values may be different.


The current or instantaneous vehicle trajectory radius of curvature may be obtained or derived from several sources, including, but not limited to steering wheel angular position. The correlation between the vehicle trajectory radius of curvature and steering wheel angular position may be readily established with knowledge of the vehicle mechanical configuration. Thus, steering wheel angular position thresholds which are substantially equivalent to vehicle trajectory radius of curvature thresholds may be derived. Typically, the current, or instantaneous, angular position of the vehicle steering wheel is measured by a rotary encoder, or equivalent sensing device, and is made available to other vehicle control systems either directly or via a vehicle communication bus such as a CAN or the like. By accessing this signal or vehicle bus message, and comparing it to a predetermined threshold, high beam activation may be inhibited to achieve the previously described benefits.


If the vehicle is driven round a long steady curve with a radius of curvature which corresponds to the steering wheel angular threshold, it is possible that the instantaneous steering wheel angular value will oscillate about the angular threshold, resulting in a potentially annoying or inappropriate oscillation between high and low beam states. Thus, the AHB control system may incorporate a time based filter, which may be adaptive, and which may be non-symmetrical, to regulate what might otherwise be frequent annoying or inappropriate switching between the low and high beam states. Depending on the characteristics of the time based filtering system, it may be beneficial to incorporate hysteresis in the angular threshold values, such that the values for left and right increasing steering wheel angles are greater than the values for left and right decreasing steering wheel angles.


Automatic image based high beam control systems (such as described in U.S. Pat. No. 6,097,023, which is hereby incorporated herein by reference in its entirety), in which an image of the scene forward of the vehicle is focused by an optical system, may have a horizontal field of view equal to, but not limited to, approximately +/−22.5 degrees about the imaging system centerline. The image may be focused or imaged onto a rectangular array image capture device such as, but not limited to, a 640×480 CMOS color imager, which captures image data and provides sequential frames of data indicative of the light energy reflected or emitted by objects in the region subtended by each element of the array. The image capture rate may be at a rate in the range of about 5 to 120 times per second or more, with processing being performed on the data to determine the presence, location and characteristics of objects within the monitored scene and to determine characteristics of the monitored scene, such as general illumination level, and to utilize several defined regions of the monitored scene for several different purposes. For example, the region of the scene which generally corresponds to the region of influence of the vehicle high beam pattern, may be used to determine the need to inhibit high beam activation if other road users are detected within that region. The regions to the left and right of the first region may be used to anticipate the upcoming entry of other road users into the first region in order to facilitate a rapid and appropriate response upon entry or just prior to entry of the first region. The upper central region of the monitored scene may be used to determine ambient lighting conditions such that a first threshold may be established below which low beam headlights are activated, and a second threshold may be established above which high beam activation may be inhibited, while the lower horizontal portion of the ambient lighting condition detection region may be used to detect urban lighting conditions or the like. Other processing of the captured image data may be implemented depending on the particular application of the image sensor and processor, while remaining within the spirit and scope of the present invention.


While the segmentation of the monitored scene into fixed regions, such as described above, provides many benefits and efficiencies to the image processing routines used to characterize vehicular light sources, ambient lighting conditions, and non-vehicular light sources etc., they only provide optimal performance when they are appropriately aligned with the monitored scene, such as when driving on a flat straight road. Much of the typical driving experience, however, is on curved and undulating roads. It is, therefore, desirable to have dynamic segmentation of the monitored scene such that the various regions employed align appropriately according to the upcoming road topology and geometry.


An additional aspect of the present invention is to improve the performance of AHB control systems by providing a dynamic segmentation of the monitored scene.


When driving on a curved road, it is beneficial to extend the region used to detect and monitor vehicular light sources in the direction of road curvature in order to provide a sufficiently early detection of other road users and thus the inhibition of high beams. This region may be extended in accordance with the vehicle trajectory radius of curvature as determined by the steering wheel angle or other means as previously described. Additionally, the upcoming road condition may be anticipated by other means, such as vehicle pitch as may be monitored by an accelerometer, combination of accelerometers or other means, such as by detection of vehicle roll, visible horizon tilt and/or yaw detection and/or in response to a GPS output or the like.


An additional aspect of the present invention is to improve the performance of AHB control systems, when used in conjunction with adaptive forward lighting (AFL) systems, by actively changing the region of high beam inhibit in response to the vehicle trajectory radius of curvature, in order that it corresponds to the current region of influence of the high beam pattern.


Typical AFL systems are responsive to the vehicle trajectory radius of curvature and provide improved road surface illumination when driving on curved roads by mechanically, or otherwise, adjusting the beam direction or providing supplementary illumination in the direction of the curve. While this provides a solution to the problem addressed above for fixed beam systems, it introduces a shortcoming for a typical fixed beam high beam control system when used to control high beam selection in an AFL system.


While the detection of leading and on-coming/approaching vehicles occurs across a wide field of view, the inhibition of high beam selection occurs in a narrower fixed region which corresponds to the region of influence of the fixed high beam pattern. When driving around a curve with an AFL system, the region of influence of the adaptive high beam pattern is extended in the direction of the curve, thus reducing the effective response time to a vehicle entering the region of high beam inhibit from the direction of the road curvature. It is, therefore advantageous to modify the region of high beam inhibit in correspondence with the modified high beam pattern.


While this may be accomplished through image processing and scene analysis, it is preferable, in order to minimize the complexity, and therefore to minimize the cost of implementation, of the image processing algorithms employed, to use a signal indicative of the vehicle trajectory radius of curvature or the AFL system beam direction control signal. As previously described, the steering wheel angle may be most conveniently used since it correlates to the vehicle trajectory radius of curvature and is commonly available from the vehicle data bus. The region of high beam inhibit may be adjusted in a continuous fashion in correspondence with the instantaneous high beam direction, or it may be adjusted in one or more steps according to one or more steering wheel angle threshold values.


An additional aspect of the present invention is to improve the performance of existing AHB control systems by improving the characterization of non vehicular light sources when driving on curved roads.


In order to enhance AHB control system performance, it is desirable to provide accurate detection and characterization of other vehicular road users in order to assure the appropriate inhibition of high beam use. Additionally, all other light sources within the monitored scene may be characterized as non-vehicular in order to enhance or maximize forward vision by enabling high beams whenever appropriate and also to avoid the annoyance caused to the user by inappropriate returns to low beams due to the false characterization of non-vehicular light sources as vehicular sources.


Spatial, spectral and temporal techniques are typically used to aid in the appropriate characterization of light sources. It is, however, particularly challenging to correctly characterize light sources when driving round road curves which are provided with reflective signs to indicate road curvature. To achieve the greatest visibility of these signs or reflectors, they are typically located and oriented to provide the maximum possible reflection of light from the host vehicle headlights, that is, at a height above ground level which is similar to that of typical vehicle lights and oriented such that they reflect light from the headlight beams directly back towards the host vehicle as it progresses around the bend. Thus, the spectral and geometric characteristics and locations of these signs or reflectors may be similar to that of other vehicles traveling along the curve or bend in the road.


An additional aspect of the present invention is to improve the performance of existing AHB control systems by providing an automatic repeating alignment of the sensor to the vehicle centerline and the horizontal plane such that the various regions of interest within the scene monitored by the sensor are optimally maintained regardless of vehicle and high beam control system module geometric manufacturing and assembly tolerances, and other sources of misalignment such as vehicle attitude variations due to a wide range of possible vehicle loading conditions.


In order to take advantage of the environmental protection offered by the vehicle cabin, the frequently cleaned optically clear path offered by the vehicle windshield (which is cleaned or wiped by the windshield wipers when the wipers are activated), and the relatively high vantage point offered at the upper region or top of the windshield, AHB control systems are preferably mounted centrally on the upper inside surface of the front windshield of a vehicle and with a forward field of view through the region cleaned or wiped by the windshield wipers.


Typical vehicle body structures, windshields and assembly systems each contribute to the geometric tolerance associated with the surface to which the AHB control system module is attached. The module also has some degree of geometric tolerance associated with its components and assembly methods. It is not unusual to encounter a total stack up of tolerances which result in a potential vertical and horizontal misalignment of +/−2 degrees from the theoretically ideal condition. This is a significant value and may result in errors in determining lane widths and object sizes and distances and the like.


It is known to provide a mechanical adjustment means to allow for the correction of this misalignment at the installation of the AHB control system to the vehicle. This is, however, often undesirable since it often is expensive to apply manual labor to the alignment of components on each vehicle equipped with an AHB control system on the vehicle assembly line. It is additionally undesirable since the alignment procedure is subject to operator error.


Also, during the lifetime of the vehicle the windshield may be damaged and require replacement. In such an event it would be necessary, and likely at an unacceptable cost, to provide the alignment techniques, tools and equipment to every service operation that may be required to replace a windshield and remount the AHB control system module in order to return the vehicle to its original performance level.


Additionally, in normal use, a typical vehicle experiences many different loading conditions which cause it to adopt a wide range of pitch and roll attitudes, causing an AHB control system which is attached to the vehicle to view the forward scene from perspectives different from the ideal, or initially considered design condition, potentially resulting in different headlight actuation decisions than contemplated by the original system specification.


Thus, it is beneficial for an AHB control system to include a feature which automatically compensates for an initial misalignment condition and additionally is capable of correcting for temporary vehicle conditions and re-installation misalignments which may occur during the use of the vehicle.


In order to achieve optimum performance of the AHB control system, it is desirable to determine which of the array elements of the image capture device fall into each of the defined regions. Since the regions are defined relative to the forward scene, it is desirable to determine a particular point within the forward scene and to relate that point to a particular array element of the image capture device.


The particular point in the forward scene may be defined as a particular distant point which lies on the forward extended vehicle centerline on the horizontal plane which passes through the center of the optical system associated with the image capture device. When driving on a substantially flat and substantially straight road, the distant point may be the point within the forward scene at which the headlights of an oncoming vehicle or the tail lamps of a slower leading vehicle are first detected. As the distance between the host and target vehicles decreases, the image of the target vehicle expands within the imaged scene, towards the left if traveling in a leftward lane, centrally if in the same lane, and towards the right if traveling in a rightward lane. Thus the described distant point may be called the focus of expansion or FOE.


In order to determine the imaging array element or pixel which subtends the FOE in the as assembled and as loaded vehicle, it is necessary to identify the array element which first detects a new light source, which has the potential to be a vehicular source, within that region of the monitored scene which could potentially contain the FOE, to continue to track the light source as it expands in the image as the distance between the detected source and the host vehicle decreases until it is confirmed that the source is vehicular, and to monitor the host vehicle trajectory until it reaches the point in the road where the new light source would have been initially detected in order to confirm that the road traveled for the duration of the monitoring period was substantially flat and substantially straight. If it is determined that the point or light source is a vehicle and the host vehicle and approaching vehicle are traveling along a substantially flat and substantially straight road, the location of the initial distant point or FOE may be compared to an expected location and the axis of the imaging system may be adjusted accordingly so that the imaging system is directed at the desired or appropriate or optimal angle relative to the vehicle. Optionally, the imaging system may be adjusted in response to a detection of lane markers along a straight and/or flat road, and/or pitch information from a bus or accelerometer and/or roll information from an accelerometer or bus information. Optionally, the system may only monitor for new light sources when the steering wheel angle or steering angle (SA) is approximately 0 degrees, such as when the steering angle is about 0 degrees+\−0.1 degrees or other threshold angle. Thus, adjustment and/or alignment of the image sensor may occur by tracking movement of light sources through the images when the vehicle is traveling substantially straight, so that the control may compare the tracked light sources to expected locations and paths through the captured images as the vehicle moves along the substantially straight path and may adjust the field of view or viewing angle of the image sensor accordingly.


An additional aspect of the present invention is to improve AHB control systems by providing a detection of left and right hand road systems and an automatic configuration to assure appropriate left or right hand operation. AHB control systems are often installed on both left and right hand drive vehicles and may be configured differently for use on left and right hand drive road systems, preferably having an asymmetric response to activity within the monitored scene. It is possible to configure the system to operate on either a left or right hand drive vehicle and to supply the system to the vehicle assembly plant for installation on a corresponding either left or right hand drive vehicle. In such cases it is desirable to identify the AHB control system module with a particular part number in order to assure the installation of the correct configuration, which results in part number proliferation and the potential for operator error, either at the module manufacturing location where the wrong label may be attached to the product, or at the vehicle assembly plant, particularly if left and right hand drive vehicles are built on the same assembly line, where the wrong part may be selected for installation.


In order to reduce part number proliferation, it is possible to provide a switch on the AHB control system module in order to configure it for operation on a left or right hand drive vehicle. This solution, however, is also subject to operator error and may result in incorrect and inappropriate control of the vehicle high beams during nighttime driving. Additionally, during the normal use of a right hand drive vehicle, it may be driven on a left hand drive road system for a period of time before returning to a right hand drive road system and vice versa, such as when taking a vehicle by ferry or Channel tunnel from the United Kingdom to mainland Europe for vacation or in the course of business. Again it is possible to provide a switch to allow the vehicle operator to configure the system appropriately for the country of use, however, this is inconvenient and may result in inappropriate high beam activation in the event that the operator forgets to, or is unaware of the need to switch to the alternate configuration, or is unaware of the availability of a reconfiguration switch. Thus, there is a need to provide an automatic configuration of AHB control systems such that they analyze the monitored scene, recognize a left or right hand drive road system and self configure accordingly.


The system may track the light sources and adjust the image sensor only when the steering angle is within a threshold value of straight or substantially straight, in order to avoid misinterpretation of source locations. Also, the system may take into account the environment at which the vehicle is traveling, and may not track and adjust when the vehicle is traveling in high lighting environments, such as cities and the like, and may function when there are limited other light sources in the forward field of view. The system may also take into account the speed of the vehicle and thus the speed of the light moving through the captured images.


Optionally, when the vehicle is being passed on tight curves or the like, the control may determine when to adjust the headlamps of the vehicle in response to the location and departure of the passing vehicle's taillights within the field of view. For example, the control may take into account situations when the forward vehicle departs the field of view while the steering angle of the subject vehicle remains relatively constant, and may adjust the headlamps accordingly. Such tracking may also provide an indication that the road continues to curve ahead of the subject vehicle, and may provide information useful in conjunction with an adaptive cruise control (ACC) system and/or a lane departure warning (LDW) or the like.


Adaptive Front Lighting vehicles can illuminate curved road areas and vehicles that previously were not illuminated very well. The AHBC algorithm could, at significant expense and speed penalties, decide when the vehicle was on a curve and change its operation. If the AHBC system could use steering wheel angle (SWA) from the automobile bus, it could react significantly faster, with fewer mistakes, without the calculation penalties of internal SWA calculation.


We have done several studies on how the steering wheel angle will improve AHBC functionality when used with AFLS. For example, 14 vehicles in 7 video clips which had both AFLS cars and standard cars were studied. These clips showed vehicles traveling on a curve and were examined to determine how to better detect these vehicles. The region of interest was extended manually in the direction of the curved travel. The SWA was not used during such examination and evaluation, but it is envisioned that the use of steering wheel angle would allow these results to be done automatically. Based on such evaluations, the optimum size and location of the region of interest (ROI) may be found. The ROI is the vehicle processing region. Surprisingly (and as shown in FIG. 9), the optimum ROI change was not a linear function of the SWA size. It was just a simple rule to extend the ROI one amount in the curve direction. During a sharp turn of the vehicle, the vehicle is seen for a short time and for gentle curves the vehicle is seen for a longer time. Results vary with the orientation of the target vehicle with respect to the host vehicle. This is related to the beam intensity pattern.


The smaller amount of gained low beam time on a sharp curve is not to be belittled. The total time that the vehicle was visible in the imaging system on sharp curves averaged around 3-4 seconds. The addition of 0.6 seconds of low beam time is significant since these vehicle detections usually only had a couple seconds of low beam, so the added time is a significant benefit. For the gentle curves the vehicles were visible in the scene for longer, and were detected in low beam for about 1.6 seconds more, thus the added time was significant.


In the future when more target vehicles have adaptive front lighting, this effect may not be so static. Then the ROI may need to be changed as a function of the steering wheel angle. The desired approach was to extend the ROI 5 or 6 degrees in the direction of the curve denoted by the steering wheel angle. With no or small SWA, the ROI is unchanged. This approach is enough to provide significant benefit for the AHBC vehicle with AFLS. The AFLS system does point the headlights in the direction of the curve and this use of SWA will allow the quicker detection of the target vehicle so that the effect of the AFLS is minimized for other drivers. The other vehicles will not get as much unexpected glare at unexpected angles on a curve, because they will be detected sooner by the host AHBC vehicle.


Optionally, the SWA may be used to filter out the false alarm targets from reflectors and house and yard lights on curves. When the vehicle is driven along the road, the system does not know how the road curves ahead and if it did, such as through SWA, the system could better filter out such false targets. This is particularly evident when the false target is straight ahead, while the road curves. In such cases, the false target is in the same position as a real vehicle. With the use of the steering wheel angle, this false alarm can be minimized, and it is estimated that at least about a third of these kinds of false alarms could be eliminated. These also are the most resistant false alarms since they look the most like real car lights.


Finally, the use of SWA could allow us to better filter out the non-straight roads that should be ignored to adapt the focus of expansion. The system can accumulate the focus of expansion data when it detects the lane markers, and may only accumulate when the FOE is close enough to the manufacturing value. The system could better filter out these curved road times and should allow the system to get a better, quicker, measure of the real FOE for a given key cycle.


Therefore, the use of SWA will allow quicker use of low beams on curves where the AFLS system will otherwise glare opposing vehicles more than the non-AFLS vehicle. The detection time, when low beam is on, may preferably increase by about 30 percent or more. The use of SWA will also allow better filtering out of noise sources which falsely trigger low beam, and it will more quickly provide adaptive focus of expansion in general driving.


The imaging sensor for the headlamp control of the present invention may comprise any suitable sensor, and may utilize various imaging sensors or imaging array sensors or cameras or the like, such as a CMOS imaging array sensor, a CCD sensor or other sensors or the like, such as the types described in U.S. Pat. Nos. 6,946,978; 7,004,606; 5,550,677; 5,760,962; 6,097,023; 5,796,094 and/or 5,715,093; and/or U.S. patent application Ser. No. 09/441,341, filed Nov. 16, 1999, now U.S. Pat. No. 7,339,149; and/or Ser. No. 11/105,757, filed Apr. 14, 2005, now U.S. Pat. No. 7,526,103, and/or PCT Application No. PCT/US2003/036177 filed Nov. 14, 2003, published Jun. 3, 2004 as PCT Publication No. WO 2004/047421, which are all hereby incorporated herein by reference in their entireties.


Optionally, the imaging sensor may be suitable for use in connection with other vehicle imaging systems, such as, for example, a blind spot detection system, where a blind spot indicator may be operable to provide an indication to the driver of the host vehicle that an object or other vehicle has been detected in the lane or area adjacent to the side of the host vehicle. In such a blind spot detector/indicator system, the blind spot detection system may include an imaging sensor or sensors, or ultrasonic sensor or sensors, or sonar sensor or sensors or the like. For example, the blind spot detection system may utilize aspects of the blind spot detection and/or imaging systems described in U.S. Pat. Nos. 7,038,577; 6,882,287; 6,198,409; 5,929,786; and/or 5,786,772, and/or U.S. patent application Ser. No. 11/315,675, filed Dec. 22, 2005, now U.S. Pat. No. 7,720,580; and/or Ser. No. 11/239,980, filed Sep. 30, 2005, now U.S. Pat. No. 7,881,496, and/or U.S. provisional application Ser. No. 60/696,953, filed Jul. 6, 2006; Ser. No. 60/628,709, filed Nov. 17, 2004; Ser. No. 60/614,644, filed Sep. 30, 2004; and/or Ser. No. 60/618,686, filed Oct. 14, 2004, and/or of the reverse or backup aid systems, such as the rearwardly directed vehicle vision systems described in U.S. Pat. Nos. 5,550,677; 5,760,962; 5,670,935; 6,201,642; 6,396,397; 6,498,620; 6,717,610; 6,757,109; and/or 7,005,974, and/or of the rain sensors described in U.S. Pat. Nos. 6,250,148 and 6,341,523, and/or of other imaging systems, such as the types described in U.S. Pat. Nos. 6,353,392 and 6,313,454, and U.S. patent application Ser. No. 10/422,512, filed Apr. 24, 2003, now U.S. Pat. No. 7,123,168, with all of the above referenced U.S. patents, patent applications and provisional applications and PCT applications being commonly assigned and being hereby incorporated herein by reference.


Optionally, the mirror assembly and/or accessory module or windshield electronics module may include one or more displays, such as for displaying the captured images or video images captured by the imaging sensor or sensors of the vehicle, such as the displays of the types disclosed in U.S. Pat. Nos. 7,004,593; 5,530,240 and/or 6,329,925, which are hereby incorporated herein by reference, and/or display-on-demand or transflective type displays, such as the types disclosed in U.S. Pat. Nos. 6,690,268; 5,668,663 and/or 5,724,187, and/or in U.S. patent application Ser. No. 10/054,633, filed Jan. 22, 2002, now U.S. Pat. No. 7,195,381; Ser. No. 11/021,065, filed Dec. 23, 2004, now U.S. Pat. No. 7,255,451; Ser. No. 10/528,269, filed Mar. 17, 2005, now U.S. Pat. No. 7,274,501; Ser. No. 10/533,762, filed May 4, 2005, now U.S. Pat. No. 7,184,190; Ser. No. 10/538,724, filed Jun. 13, 2005 and published Mar. 9, 2006 as U.S. Publication No. US-2006-0050018; Ser. No. 11/226,628, filed Sep. 14, 2005 and published Mar. 9, 2006 as U.S. Publication No. US-2006-0061008; Ser. No. 10/993,302, filed Nov. 19, 2004, now U.S. Pat. No. 7,338,177; and/or Ser. No. 11/284,543, filed Nov. 22, 2005, now U.S. Pat. No. 7,370,983, and/or PCT Application No. PCT/US03/29776, filed Sep. 9, 2003; and/or PCT Application No. PCT/US03/35381, filed Nov. 5, 2003, and/or PCT Application No. PCT/US03/40611, filed Dec. 19, 2003, which are all hereby incorporated herein by reference, or may include or incorporate video displays or the like, such as the types described in PCT Application No. PCT/US03/40611, filed Dec. 19, 2003, and/or U.S. patent application Ser. No. 10/538,724, filed Jun. 13, 2005 and published Mar. 9, 2006 as U.S. Publication No. US-2006-0050018; and/or Ser. No. 11/284,543, filed Nov. 22, 2005, now U.S. Pat. No. 7,370,983, and/or U.S. provisional application Ser. No. 60/732,245, filed Nov. 1, 2005; Ser. No. 60/759,992, filed Jan. 18, 2006; and/or Ser. No. 60/836,219, filed Aug. 8, 2006, which are hereby incorporated herein by reference.


The imaging sensor may be incorporated at or in an accessory module or windshield electronics module (such as described above), or may be incorporated at or in an interior rearview mirror assembly of the vehicle, while remaining within the spirit and scope of the present invention. Optionally, the mirror assembly and/or module may support one or more other accessories or features, such as one or more electrical or electronic devices or accessories. For example, illumination sources or lights, such as map reading lights or one or more other lights or illumination sources, such as illumination sources of the types disclosed in U.S. Pat. Nos. 6,690,268; 5,938,321; 5,813,745; 5,820,245; 5,673,994; 5,649,756; 5,178,448; 5,671,996; 4,646,210; 4,733,336; 4,807,096; 6,042,253; 6,971,775; and/or 5,669,698, and/or U.S. patent application Ser. No. 10/054,633, filed Jan. 22, 2002, now U.S. Pat. No. 7,195,381; and/or Ser. No. 10/933,842, filed Sep. 3, 2004, now U.S. Pat. No. 7,249,860, which are hereby incorporated herein by reference, may be included in the mirror assembly or module. The illumination sources and/or the circuit board may be connected to one or more buttons or inputs for activating and deactivating the illumination sources. Optionally, the mirror assembly or module may also or otherwise include other accessories, such as microphones, such as analog microphones or digital microphones or the like, such as microphones of the types disclosed in U.S. Pat. Nos. 6,243,003; 6,278,377; and/or 6,420,975, and/or in PCT Application No. PCT/US03/308877, filed Oct. 1, 2003. Optionally, the mirror assembly may also or otherwise include other accessories, such as a telematics system, speakers, antennas, including global positioning system (GPS) or cellular phone antennas, such as disclosed in U.S. Pat. No. 5,971,552, a communication module, such as disclosed in U.S. Pat. No. 5,798,688, a voice recorder, transmitters and/or receivers, such as for a garage door opener or a vehicle door unlocking system or the like (such as a remote keyless entry system), a digital network, such as described in U.S. Pat. No. 5,798,575, a memory mirror system, such as disclosed in U.S. Pat. No. 5,796,176, a hands-free phone attachment, a video device for internal cabin surveillance (such as for sleep detection or driver drowsiness detection or the like) and/or video telephone function, such as disclosed in U.S. Pat. Nos. 5,760,962 and/or 5,877,897, a remote keyless entry receiver, a seat occupancy detector, a remote starter control, a yaw sensor, a clock, a carbon monoxide detector, status displays, such as displays that display a status of a door of the vehicle, a transmission selection (4wd/2wd or traction control (TCS) or the like), an antilock braking system, a road condition (that may warn the driver of icy road conditions) and/or the like, a trip computer, a tire pressure monitoring system (TPMS) receiver (such as described in U.S. Pat. Nos. 6,124,647; 6,294,989; 6,445,287; 6,472,979; and/or 6,731,205; and/or U.S. patent application Ser. No. 11/232,324, filed Sep. 21, 2005, now U.S. Pat. No. 7,423,522, and/or an ONSTAR® system and/or any other accessory or circuitry or the like (with all of the above-referenced patents and PCT and U.S. patent applications being commonly assigned, and with the disclosures of the referenced patents and patent applications being hereby incorporated herein by reference in their entireties).


Optionally, the mirror assembly or module may include one or more user inputs for controlling or activating/deactivating one or more electrical accessories or devices of or associated with the mirror assembly or module or vehicle. The mirror assembly or module may comprise any type of switches or buttons, such as touch or proximity sensing switches, such as touch or proximity switches of the types described in PCT Application No. PCT/US03/40611, filed Dec. 19, 2003; and/or U.S. Pat. Nos. 6,001,486; 6,310,611; 6,320,282; and 6,627,918; and/or U.S. patent application Ser. No. 09/817,874, filed Mar. 26, 2001, now U.S. Pat. No. 7,224,324; Ser. No. 10/956,749, filed Oct. 1, 2004, now U.S. Pat. No. 7,446,924; Ser. No. 10/933,842, filed Sep. 3, 2004, now U.S. Pat. No. 7,249,860; Ser. No. 11/021,065, filed Dec. 23, 2004, now U.S. Pat. No. 7,255,451; and/or Ser. No. 11/140,396, filed May 27, 2005, now U.S. Pat. No. 7,360,932, which are hereby incorporated herein by reference, or the inputs may comprise other types of buttons or switches, such as those described in U.S. patent application Ser. No. 11/029,695, filed Jan. 5, 2005, now U.S. Pat. No. 7,253,723; and/or Ser. No. 11/451,639, filed Jun. 13, 2006, now U.S. Pat. No. 7,527,403, which are hereby incorporated herein by reference, or such as fabric-made position detectors, such as those described in U.S. Pat. Nos. 6,504,531; 6,501,465; 6,492,980; 6,452,479; 6,437,258; and 6,369,804, which are hereby incorporated herein by reference. Other types of switches or buttons or inputs or sensors may be incorporated to provide the desired function, without affecting the scope of the present invention.


Optionally, the user inputs or buttons may comprise user inputs for a garage door opening system, such as a vehicle based garage door opening system of the types described in U.S. Pat. Nos. 6,396,408; 6,362,771; and 5,798,688, and/or U.S. patent application Ser. No. 10/770,736, filed Feb. 3, 2004, now U.S. Pat. No. 7,023,322; and/or U.S. provisional application Ser. No. 60/502,806, filed Sep. 12, 2003; and Ser. No. 60/444,726, filed Feb. 4, 2003, which are hereby incorporated herein by reference. The user inputs may also or otherwise function to activate and deactivate a display or function or accessory, and/or may activate/deactivate and/or commence a calibration of a compass system of the mirror assembly and/or vehicle. The compass system may include compass sensors and circuitry within the mirror assembly or within a compass pod or module at or near or associated with the mirror assembly. Optionally, the user inputs may also or otherwise comprise user inputs for a telematics system of the vehicle, such as, for example, an ONSTAR® system as found in General Motors vehicles and/or such as described in U.S. Pat. Nos. 4,862,594; 4,937,945; 5,131,154; 5,255,442; 5,632,092; 5,798,688; 5,971,552; 5,924,212; 6,243,003; 6,278,377; 6,420,975; 6,946,978; 6,477,464; 6,678,614; and/or 7,004,593, and/or U.S. patent application Ser. No. 10/645,762, filed Aug. 20, 2003, now U.S. Pat. No. 7,167,796; and Ser. No. 10/964,512, filed Oct. 13, 2004, now U.S. Pat. No. 7,308,341; and/or PCT Application No. PCT/US03/40611, filed Dec. 19, 2003, and/or PCT Application No. PCT/US03/308877, filed Oct. 1, 2003, which are all hereby incorporated herein by reference.


Optionally, the accessory module may utilize aspects of other accessory modules or windshield electronics modules or the like, such as the types described in U.S. patent application Ser. No. 10/958,087, filed Oct. 4, 2004, now U.S. Pat. No. 7,188,963; and/or Ser. No. 11/201,661, filed Aug. 11, 2005, now U.S. Pat. No. 7,480,149, and/or U.S. Pat. Nos. 7,004,593; 6,824,281; 6,690,268; 6,250,148; 6,341,523; 6,593,565; 6,428,172; 6,501,387; 6,329,925; and 6,326,613, and/or in PCT Application No. PCT/US03/40611, filed Dec. 19, 2003, and/or Ireland patent applications, Ser. No. S2004/0614, filed Sep. 15, 2004; Ser. No. S2004/0838, filed Dec. 14, 2004; and Ser. No. S2004/0840, filed Dec. 15, 2004, which are all hereby incorporated herein by reference.


The reflective element of the rearview mirror assembly of the vehicle may comprise an electro-optic or electrochromic reflective element or cell, such as an electrochromic mirror assembly and electrochromic reflective element utilizing principles disclosed in commonly assigned U.S. Pat. Nos. 6,690,268; 5,140,455; 5,151,816; 6,178,034; 6,154,306; 6,002,544; 5,567,360; 5,525,264; 5,610,756; 5,406,414; 5,253,109; 5,076,673; 5,073,012; 5,117,346; 5,724,187; 5,668,663; 5,910,854; 5,142,407; and/or 4,712,879, and/or U.S. patent application Ser. No. 10/054,633, filed Jan. 22, 2002, now U.S. Pat. No. 7,195,381; Ser. No. 11/021,065, filed Dec. 23, 2004, now U.S. Pat. No. 7,255,451; Ser. No. 11/226,628, filed Sep. 14, 2005 and published Mar. 9, 2006 as U.S. Publication No. US-2006-0061008, and/or PCT Application No. PCT/US2006/018567, filed May 15, 2006, which are all hereby incorporated herein by reference, and/or as disclosed in the following publications: N. R. Lynam, “Electrochromic Automotive Day/Night Mirrors”, SAE Technical Paper Series 870636 (1987); N. R. Lynam, “Smart Windows for Automobiles”, SAE Technical Paper Series 900419 (1990); N. R. Lynam and A. Agrawal, “Automotive Applications of Chromogenic Materials”, Large Area Chromogenics: Materials and Devices for Transmittance Control, C. M. Lampert and C. G. Granquist, EDS., Optical Engineering Press, Wash. (1990), which are hereby incorporated by reference herein. The thicknesses and materials of the coatings on the substrates of the electrochromic reflective element, such as on the third surface of the reflective element assembly, may be selected to provide a desired color or tint to the mirror reflective element, such as a blue colored reflector, such as is known in the art and/or such as described in U.S. Pat. Nos. 5,910,854 and 6,420,036, and in PCT Application No. PCT/US03/29776, filed Sep. 9, 2003, which are all hereby incorporated herein by reference.


Optionally, use of an elemental semiconductor mirror, such as a silicon metal mirror, such as disclosed in U.S. Pat. Nos. 6,286,965; 6,196,688; 5,535,056; 5,751,489; and 6,065,840, and/or in U.S. patent application Ser. No. 10/993,302, filed Nov. 19, 2004, now U.S. Pat. No. 7,338,177, which are all hereby incorporated herein by reference, can be advantageous because such elemental semiconductor mirrors (such as can be formed by depositing a thin film of silicon) can be greater than 50 percent reflecting in the photopic (SAE J964a measured), while being also substantially transmitting of light (up to 20 percent or even more). Such silicon mirrors also have the advantage of being able to be deposited onto a flat glass substrate and to be bent into a curved (such as a convex or aspheric) curvature, which is also advantageous since many passenger-side exterior rearview mirrors are bent or curved.


Optionally, the reflective element may include a perimeter metallic band, such as the types described in PCT Application No. PCT/US03/29776, filed Sep. 19, 2003; and/or PCT Application No. PCT/US03/35381, filed Nov. 5, 2003; and/or U.S. patent application Ser. No. 11/021,065, filed Dec. 23, 2004, now U.S. Pat. No. 7,255,451; and/or Ser. No. 11/226,628, filed Sep. 14, 2005 and published Mar. 9, 2006 as U.S. Publication No. US-2006-0061008, which are hereby incorporated herein by reference. Optionally, the reflective element may include indicia formed at and viewable at the reflective element, such as by utilizing aspects of the reflective elements described in PCT Application No. PCT/US2006/018567, filed May 15, 2006, which are hereby incorporated herein by reference.


Optionally, the reflective element of the mirror assembly may comprise a single substrate with a reflective coating at its rear surface, without affecting the scope of the present invention. The mirror assembly thus may comprise a prismatic mirror assembly or other mirror having a single substrate reflective element, such as a mirror assembly utilizing aspects described in U.S. Pat. Nos. 6,318,870; 6,598,980; 5,327,288; 4,948,242; 4,826,289; 4,436,371; and 4,435,042; and PCT Application No. PCT/US04/015424, filed May 18, 2004; and U.S. patent application Ser. No. 10/933,842, filed Sep. 3, 2004, now U.S. Pat. No. 7,249,860, which are hereby incorporated herein by reference. Optionally, the reflective element may comprise a conventional prismatic or flat reflective element or prism, or may comprise a prismatic or flat reflective element of the types described in PCT Application No. PCT/US03/29776, filed Sep. 19, 2003; U.S. patent application Ser. No. 10/709,434, filed May 5, 2004, now U.S. Pat. No. 7,420,756; Ser. No. 10/933,842, filed Sep. 3, 2004, now U.S. Pat. No. 7,249,860; Ser. No. 11/021,065, filed Dec. 23, 2004, now U.S. Pat. No. 7,255,451; and/or Ser. No. 10/993,302, filed Nov. 19, 2004, now U.S. Pat. No. 7,338,177, and/or PCT Application No. PCT/US2004/015424, filed May 18, 2004, which are all hereby incorporated herein by reference, without affecting the scope of the present invention.


Changes and modifications to the specifically described embodiments may be carried out without departing from the principles of the present invention, which is intended to be limited by the scope of the appended claims, as interpreted in accordance with the principles of patent law.

Claims
  • 1. A driver assistance system for a vehicle, said driver assistance system comprising: an imaging sensor, said imaging sensor comprising a two-dimensional array of photosensor elements, said imaging sensor monitoring a scene forward of the direction of travel of a vehicle equipped with said driver assistance system;a control;wherein said control processes image data captured by said imaging sensor to determine the presence of an object of interest in the scene monitored by said imaging sensor;the object of interest selected from the group consisting of (i) a headlight of another vehicle and (ii) a taillight of another vehicle;wherein said control adjusts a vehicle headlamp of the equipped vehicle at least in part responsive to determination of the presence of the object of interest in the scene monitored by said imaging sensor;said control receiving vehicle data via a communication bus of the equipped vehicle, said vehicle data comprising at least one of (i) vehicle speed data and (ii) vehicle trajectory data;at least in part responsive to receiving vehicle data via said communication bus, said control inhibits adjustment of the vehicle headlamp from a first beam state to a second beam state; andwherein said control is operable to process image data captured by said imaging sensor to determine the presence of lane markers in the scene monitored by said imaging sensor.
  • 2. The driver assistance system of claim 1, wherein said vehicle data comprises vehicle trajectory data and wherein said vehicle trajectory data comprises data indicative of a steering wheel angular position.
  • 3. The driver assistance system of claim 1, wherein a principal beam direction of the vehicle headlamp is adjustable responsive to the trajectory of the equipped vehicle.
  • 4. The driver assistance system of claim 3, wherein said control inhibits adjustment of the vehicle headlamp from said first beam state to said second beam state when the principal beam direction is directed at least partially sidewardly.
  • 5. The driver assistance system of claim 1, wherein said control inhibits adjustment of the vehicle headlamp from said first beam state to said second beam state when the radius of curvature of trajectory of the equipped vehicle is below a threshold value.
  • 6. The driver assistance system of claim 5, wherein said first beam state comprises a low beam state and said second beam state comprises a high beam state.
  • 7. The driver assistance system of claim 6, including a filter to limit adjustment between said high and low beam states of the vehicle headlamp when the trajectory of the equipped vehicle generally oscillates as the equipped vehicle travels along a curve.
  • 8. The driver assistance system of claim 6, including a time-based filter to limit adjustment between the low and high beam states of the vehicle headlamp when the trajectory of the equipped vehicle generally oscillates as the equipped vehicle travels along a curve.
  • 9. The driver assistance system of claim 1, including a filter to limit adjustment between the first and second beam states of the vehicle headlamp when the trajectory of the equipped vehicle generally oscillates as the equipped vehicle travels along a curve.
  • 10. The driver assistance system of claim 1, wherein said vehicle communication bus comprises a CAN vehicle communication bus.
  • 11. The driver assistance system of claim 1, including dynamic segmentation of the monitored scene.
  • 12. The driver assistance system of claim 1, wherein the scene monitored forward of the equipped vehicle is extended in accordance with at least one of (a) the trajectory of the equipped vehicle, (b) the radius of curvature of the trajectory of the equipped vehicle and (c) the radius of curvature of the trajectory of the equipped vehicle as determined by the steering wheel angle of the equipped vehicle.
  • 13. The driver assistance system of claim 1, wherein said vehicle data comprises (i) vehicle speed data and (ii) vehicle trajectory data.
  • 14. A driver assistance system for a vehicle, said driver assistance system comprising: an imaging sensor, said imaging sensor comprising a two-dimensional array of photosensor elements, said imaging sensor monitoring a scene forward of the direction of travel of a vehicle equipped with said driver assistance system;a control;wherein said control processes image data captured by said imaging sensor to determine the presence of an object of interest in the scene monitored by said imaging sensor;wherein said control adjusts a vehicle accessory of the equipped vehicle at least in part responsive to determination of the presence of the object of interest in the scene monitored by said imaging sensor;said control receiving vehicle data via a communication bus of the equipped vehicle, said vehicle data comprising at least one of (i) vehicle speed data and (ii) vehicle trajectory data;wherein said control is operable to process image data captured by said imaging sensor to determine the presence of lane markers in the scene monitored by said imaging sensor; andwherein said control inhibits adjustment of the vehicle accessory from a first state to a second state when the radius of curvature of trajectory of the equipped vehicle is below a threshold value.
  • 15. The driver assistance system of claim 14, including a time-based filter to limit adjustment between the first and second states of the vehicle accessory when the trajectory of the equipped vehicle generally oscillates as the equipped vehicle travels along a curve.
  • 16. The driver assistance system of claim 14, wherein the scene monitored forward of the equipped vehicle is extended in accordance with at least one of (a) the trajectory of the equipped vehicle, (b) the radius of curvature of the trajectory of the equipped vehicle and (c) the radius of curvature of the trajectory of the equipped vehicle as determined by a steering wheel angle of the equipped vehicle.
  • 17. The driver assistance system of claim 14, wherein the vehicle accessory comprises a vehicle headlamp and said first state comprises a low beam state of the vehicle headlamp and said second state comprises a high beam state of the vehicle headlamp.
  • 18. The driver assistance system of claim 14, wherein said vehicle data comprises (i) vehicle speed data and (ii) vehicle trajectory data.
  • 19. A driver assistance system for a vehicle, said driver assistance system comprising: an imaging sensor, said imaging sensor comprising a two-dimensional array of photosensor elements, said imaging sensor monitoring a scene forward of the direction of travel of a vehicle equipped with said driver assistance system;a control;wherein said control processes image data captured by said imaging sensor to determine the presence of an object of interest in the scene monitored by said imaging sensor;wherein said control adjusts a vehicle accessory of the equipped vehicle at least in part responsive to determination of the presence of the object of interest in the scene monitored by said imaging sensor;said control receiving vehicle speed data and vehicle trajectory data via a communication bus of the equipped vehicle;wherein said vehicle trajectory data comprises data indicative of a steering wheel angular position;wherein said control is operable to process image data captured by said imaging sensor to determine the presence of lane markers in the scene monitored by said imaging sensor; andwherein said control inhibits adjustment of the vehicle accessory of the equipped vehicle from a first state to a second beam state when the radius of curvature of trajectory of the equipped vehicle is below a threshold value.
  • 20. The driver assistance system of claim 19, including a time-based filter to limit adjustment between the first and second states of the vehicle accessory when the trajectory of the equipped vehicle generally oscillates as the equipped vehicle travels along a curve.
  • 21. The driver assistance system of claim 19, wherein the scene monitored forward of the equipped vehicle is extended in accordance with at least one of (a) the trajectory of the equipped vehicle, (b) the radius of curvature of the trajectory of the equipped vehicle and (c) the radius of curvature of the trajectory of the equipped vehicle as determined by a steering wheel angle of the equipped vehicle.
  • 22. The driver assistance system of claim 19, wherein said vehicle communication bus comprises a CAN vehicle communication bus.
CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent application Ser. No. 13/452,130, filed Apr. 20, 2012, now U.S. Pat. No. 8,434,919, which is a continuation of U.S. patent application Ser. No. 13/173,039, filed Jun. 30, 2011, now U.S. Pat. No. 8,162,518, which is a continuation of U.S. patent application Ser. No. 12/377,054, filed Feb. 10, 2009, now U.S. Pat. No. 7,972,045, which is a 371 of PCT Application No. PCT/US2007/075702, filed Aug. 10, 2007, which claims the benefit of U.S. provisional application Ser. No. 60/845,381, filed Sep. 18, 2006; and Ser. No. 60/837,408, filed Aug. 11, 2006, which are hereby incorporated herein by reference in their entireties.

US Referenced Citations (618)
Number Name Date Kind
2598420 Onksen et al. May 1952 A
2632040 Rabinow Mar 1953 A
2827594 Rabinow Mar 1953 A
2959709 Vanaman et al. Oct 1960 A
3751711 Schick Aug 1973 A
3985424 Steinacher Oct 1976 A
4037134 Loper Jul 1977 A
4200361 Malvano Apr 1980 A
4214266 Myers Jul 1980 A
4218698 Bart et al. Aug 1980 A
4236099 Rosenblum Nov 1980 A
4247870 Gabel et al. Jan 1981 A
4249160 Chilvers Feb 1981 A
4257703 Goodrich Mar 1981 A
4266856 Wainwright May 1981 A
4277804 Robison Jul 1981 A
4281898 Ochiai Aug 1981 A
4288814 Talley et al. Sep 1981 A
RE30835 Giglia Dec 1981 E
4355271 Noack Oct 1982 A
4357558 Massoni et al. Nov 1982 A
4381888 Momiyama May 1983 A
4420238 Felix Dec 1983 A
4431896 Lodetti Feb 1984 A
4443057 Bauer Apr 1984 A
4460831 Oettinger et al. Jul 1984 A
4481450 Watanabe et al. Nov 1984 A
4491390 Tong-Shen Jan 1985 A
4512637 Ballmer Apr 1985 A
4529275 Ballmer Jul 1985 A
4529873 Ballmer Jul 1985 A
4546551 Franks Oct 1985 A
4549208 Kamejima et al. Oct 1985 A
4571082 Downs Feb 1986 A
4572619 Reininger Feb 1986 A
4580875 Bechtel et al. Apr 1986 A
4599544 Martin Jul 1986 A
4600913 Caine Jul 1986 A
4603946 Kato Aug 1986 A
4614415 Hyatt Sep 1986 A
4620141 McCumber et al. Oct 1986 A
4623222 Itoh Nov 1986 A
4626850 Chey Dec 1986 A
4629941 Ellis Dec 1986 A
4630109 Barton Dec 1986 A
4632509 Ohmi Dec 1986 A
4638287 Umebayashi et al. Jan 1987 A
4647161 Muller Mar 1987 A
4653316 Fukuhara Mar 1987 A
4665321 Chang et al. May 1987 A
4669825 Itoh Jun 1987 A
4671615 Fukada Jun 1987 A
4672457 Hyatt Jun 1987 A
4676601 Itoh Jun 1987 A
4690508 Jacob Sep 1987 A
4692798 Seko et al. Sep 1987 A
4697883 Suzuki Oct 1987 A
4701022 Jacob Oct 1987 A
4713685 Nishimura et al. Dec 1987 A
4717830 Botts Jan 1988 A
4727290 Smith Feb 1988 A
4731669 Hayashi et al. Mar 1988 A
4741603 Miyagi May 1988 A
4768135 Kretschmer et al. Aug 1988 A
4772942 Tuck Sep 1988 A
4789904 Peterson Dec 1988 A
4793690 Gahan Dec 1988 A
4817948 Simonelli Apr 1989 A
4820933 Hong Apr 1989 A
4825232 Howdle Apr 1989 A
4838650 Stewart Jun 1989 A
4847772 Michalopoulos et al. Jul 1989 A
4855822 Narendra et al. Aug 1989 A
4859031 Berman et al. Aug 1989 A
4862037 Farber et al. Aug 1989 A
4867561 Fujii et al. Sep 1989 A
4871917 O'Farrell et al. Oct 1989 A
4872051 Dye Oct 1989 A
4881019 Shiraishi et al. Nov 1989 A
4882466 Friel Nov 1989 A
4882565 Gallmeyer Nov 1989 A
4886960 Molyneux Dec 1989 A
4891559 Matsumoto et al. Jan 1990 A
4892345 Rachael, III Jan 1990 A
4895790 Swanson et al. Jan 1990 A
4896030 Miyaji Jan 1990 A
4900133 Berman Feb 1990 A
4907870 Brucker Mar 1990 A
4910591 Petrossian et al. Mar 1990 A
4916374 Schierbeek Apr 1990 A
4917477 Bechtel et al. Apr 1990 A
4937796 Tendler Jun 1990 A
4953305 Van Lente et al. Sep 1990 A
4956591 Schierbeek Sep 1990 A
4961625 Wood et al. Oct 1990 A
4967319 Seko Oct 1990 A
4970653 Kenue Nov 1990 A
4971430 Lynas Nov 1990 A
4974078 Tsai Nov 1990 A
4975703 Delisle et al. Dec 1990 A
4987357 Masaki Jan 1991 A
4987410 Berman et al. Jan 1991 A
4991054 Walters Feb 1991 A
5001558 Burley et al. Mar 1991 A
5003288 Wilhelm Mar 1991 A
5008946 Ando Apr 1991 A
5012082 Watanabe Apr 1991 A
5016977 Baude et al. May 1991 A
5027001 Torbert Jun 1991 A
5027200 Petrossian et al. Jun 1991 A
5036437 Macks Jul 1991 A
5044706 Chen Sep 1991 A
5050966 Berman Sep 1991 A
5055668 French Oct 1991 A
5059877 Teder Oct 1991 A
5063603 Burt Nov 1991 A
5064274 Alten Nov 1991 A
5072154 Chen Dec 1991 A
5086253 Lawler Feb 1992 A
5086510 Guenther et al. Feb 1992 A
5096287 Kakinami et al. Mar 1992 A
5097362 Lynas Mar 1992 A
5100093 Rawlinson Mar 1992 A
5121200 Choi Jun 1992 A
5124549 Michaels et al. Jun 1992 A
5130709 Toyama et al. Jul 1992 A
5144685 Nasar et al. Sep 1992 A
5148014 Lynam Sep 1992 A
5166681 Bottesch et al. Nov 1992 A
5168378 Black Dec 1992 A
5170374 Shimohigashi et al. Dec 1992 A
5172235 Wilm et al. Dec 1992 A
5177685 Davis et al. Jan 1993 A
5182502 Slotkowski et al. Jan 1993 A
5184956 Langlais et al. Feb 1993 A
5187383 Taccetta et al. Feb 1993 A
5189561 Hong Feb 1993 A
5193000 Lipton et al. Mar 1993 A
5193029 Schofield Mar 1993 A
5204778 Bechtel Apr 1993 A
5208701 Maeda May 1993 A
5214408 Asayama May 1993 A
5225827 Persson Jul 1993 A
5235178 Hegyi Aug 1993 A
5245422 Borcherts et al. Sep 1993 A
5246193 Faidley Sep 1993 A
5253109 O'Farrell et al. Oct 1993 A
5276389 Levers Jan 1994 A
5285060 Larson et al. Feb 1994 A
5289182 Brillard et al. Feb 1994 A
5289321 Secor Feb 1994 A
5298732 Chen Mar 1994 A
5305012 Faris Apr 1994 A
5307136 Saneyoshi Apr 1994 A
5309137 Kajiwara May 1994 A
5313072 Vachss May 1994 A
5325096 Pakett Jun 1994 A
5325386 Jewell et al. Jun 1994 A
5329206 Slotkowski et al. Jul 1994 A
5331312 Kudoh Jul 1994 A
5336980 Levers Aug 1994 A
5341437 Nakayama Aug 1994 A
5351044 Mathur et al. Sep 1994 A
D351370 Lawlor et al. Oct 1994 S
5355118 Fukuhara Oct 1994 A
5371535 Takizawa Dec 1994 A
5374852 Parkes Dec 1994 A
5379196 Kobayashi et al. Jan 1995 A
5386285 Asayama Jan 1995 A
5394333 Kao Feb 1995 A
5406395 Wilson et al. Apr 1995 A
5408346 Trissel et al. Apr 1995 A
5410346 Saneyoshi et al. Apr 1995 A
5414257 Stanton May 1995 A
5414461 Kishi et al. May 1995 A
5416313 Larson et al. May 1995 A
5416318 Hegyi May 1995 A
5416478 Morinaga May 1995 A
5424952 Asayama Jun 1995 A
5426294 Kobayashi et al. Jun 1995 A
5430431 Nelson Jul 1995 A
5434407 Bauer et al. Jul 1995 A
5434927 Brady et al. Jul 1995 A
5440428 Hegg et al. Aug 1995 A
5444478 Lelong et al. Aug 1995 A
5451822 Bechtel et al. Sep 1995 A
5457493 Leddy et al. Oct 1995 A
5461357 Yoshioka et al. Oct 1995 A
5461361 Moore Oct 1995 A
5467284 Yoshioka et al. Nov 1995 A
5469298 Suman et al. Nov 1995 A
5471515 Fossum et al. Nov 1995 A
5475494 Nishida et al. Dec 1995 A
5483060 Sugiura et al. Jan 1996 A
5487116 Nakano et al. Jan 1996 A
5493392 Blackmon et al. Feb 1996 A
5498866 Bendicks et al. Mar 1996 A
5500766 Stonecypher Mar 1996 A
5508592 Lapatovich et al. Apr 1996 A
5510983 Iino Apr 1996 A
5515448 Nishitani May 1996 A
5521633 Nakajima et al. May 1996 A
5528698 Kamei et al. Jun 1996 A
5529138 Shaw et al. Jun 1996 A
5530240 Larson et al. Jun 1996 A
5530420 Tsuchiya et al. Jun 1996 A
5530771 Maekawa Jun 1996 A
5535144 Kise Jul 1996 A
5535314 Alves et al. Jul 1996 A
5537003 Bechtel et al. Jul 1996 A
5539397 Asanuma et al. Jul 1996 A
5541590 Nishio Jul 1996 A
5550677 Schofield et al. Aug 1996 A
5555136 Waldmann et al. Sep 1996 A
5555312 Shima et al. Sep 1996 A
5555555 Sato et al. Sep 1996 A
5568027 Teder Oct 1996 A
5568316 Schrenk et al. Oct 1996 A
5574443 Hsieh Nov 1996 A
5581464 Woll et al. Dec 1996 A
5582383 Mertens et al. Dec 1996 A
5594222 Caldwell Jan 1997 A
5612883 Shaffer et al. Mar 1997 A
5614788 Mullins Mar 1997 A
5619370 Guinosso Apr 1997 A
5627586 Yamasaki May 1997 A
5634709 Iwama Jun 1997 A
5638116 Shimoura et al. Jun 1997 A
5642299 Hardin et al. Jun 1997 A
5646612 Byon Jul 1997 A
5648835 Uzawa Jul 1997 A
5650944 Kise Jul 1997 A
5660454 Mori et al. Aug 1997 A
5661303 Teder Aug 1997 A
5666028 Bechtel et al. Sep 1997 A
5668663 Varaprasad et al. Sep 1997 A
5670935 Schofield et al. Sep 1997 A
5673019 Dantoni Sep 1997 A
5675489 Pomerleau Oct 1997 A
5676484 Chamberlin et al. Oct 1997 A
5677851 Kingdon et al. Oct 1997 A
5680263 Zimmermann et al. Oct 1997 A
5699044 Van Lente et al. Dec 1997 A
5699057 Ikeda et al. Dec 1997 A
5715093 Schierbeek et al. Feb 1998 A
5724187 Varaprasad et al. Mar 1998 A
5724316 Brunts Mar 1998 A
5737226 Olson et al. Apr 1998 A
5757949 Kinoshita et al. May 1998 A
5760826 Nayer Jun 1998 A
5760828 Cortes Jun 1998 A
5760931 Saburi et al. Jun 1998 A
5760962 Schofield et al. Jun 1998 A
5761094 Olson et al. Jun 1998 A
5764139 Nojima et al. Jun 1998 A
5765116 Wilson-Jones et al. Jun 1998 A
5765940 Levy et al. Jun 1998 A
5781437 Wiemer et al. Jul 1998 A
5786772 Schofield et al. Jul 1998 A
5790403 Nakayama Aug 1998 A
5790973 Blaker et al. Aug 1998 A
5793308 Rosinski et al. Aug 1998 A
5793420 Schmidt Aug 1998 A
5796094 Schofield et al. Aug 1998 A
5798575 O'Farrell et al. Aug 1998 A
5808589 Fergason Sep 1998 A
5811888 Hsieh Sep 1998 A
5835255 Miles Nov 1998 A
5835613 Breed et al. Nov 1998 A
5837994 Stam et al. Nov 1998 A
5841126 Fossum et al. Nov 1998 A
5844505 Van Ryzin Dec 1998 A
5844682 Kiyomoto et al. Dec 1998 A
5845000 Breed et al. Dec 1998 A
5848802 Breed et al. Dec 1998 A
5850176 Kinoshita et al. Dec 1998 A
5850254 Takano et al. Dec 1998 A
5867591 Onda Feb 1999 A
5877707 Kowalick Mar 1999 A
5877897 Schofield et al. Mar 1999 A
5878370 Olson Mar 1999 A
5883739 Ashihara et al. Mar 1999 A
5884212 Lion Mar 1999 A
5890021 Onoda Mar 1999 A
5896085 Mori et al. Apr 1999 A
5899956 Chan May 1999 A
5912534 Benedict Jun 1999 A
5914815 Bos Jun 1999 A
5923027 Stam et al. Jul 1999 A
5929786 Schofield et al. Jul 1999 A
5938320 Crandall Aug 1999 A
5940120 Frankhouse et al. Aug 1999 A
5942853 Piscart Aug 1999 A
5949331 Schofield et al. Sep 1999 A
5956181 Lin Sep 1999 A
5959367 O'Farrell et al. Sep 1999 A
5959555 Furuta Sep 1999 A
5963247 Banitt Oct 1999 A
5964822 Alland et al. Oct 1999 A
5971552 O'Farrell et al. Oct 1999 A
5986796 Miles Nov 1999 A
5990469 Bechtel et al. Nov 1999 A
5990649 Nagao et al. Nov 1999 A
6001486 Varaprasad et al. Dec 1999 A
6009336 Harris et al. Dec 1999 A
6020704 Buschur Feb 2000 A
6031484 Bullinger Feb 2000 A
6037860 Zander et al. Mar 2000 A
6037975 Aoyama Mar 2000 A
6049171 Stam et al. Apr 2000 A
6057754 Kinoshita et al. May 2000 A
6066933 Ponziana May 2000 A
6084519 Coulling et al. Jul 2000 A
6087953 DeLine et al. Jul 2000 A
6097023 Schofield et al. Aug 2000 A
6097024 Stam et al. Aug 2000 A
6107939 Sorden Aug 2000 A
6116743 Hoek Sep 2000 A
6124647 Marcus et al. Sep 2000 A
6124886 DeLine et al. Sep 2000 A
6139172 Bos et al. Oct 2000 A
6144022 Tenenbaum et al. Nov 2000 A
6144158 Beam Nov 2000 A
6150014 Chu et al. Nov 2000 A
6172613 DeLine et al. Jan 2001 B1
6175164 O'Farrell et al. Jan 2001 B1
6175300 Kendrick Jan 2001 B1
6198409 Schofield et al. Mar 2001 B1
6201642 Bos Mar 2001 B1
6222447 Schofield et al. Apr 2001 B1
6222460 DeLine et al. Apr 2001 B1
6229319 Johnson May 2001 B1
6243003 DeLine et al. Jun 2001 B1
6250148 Lynam Jun 2001 B1
6259412 Duroux Jul 2001 B1
6266082 Yonezawa et al. Jul 2001 B1
6266442 Laumeyer et al. Jul 2001 B1
6285393 Shimoura et al. Sep 2001 B1
6291906 Marcus et al. Sep 2001 B1
6292752 Franke et al. Sep 2001 B1
6294989 Schofield et al. Sep 2001 B1
6297781 Turnbull et al. Oct 2001 B1
6302545 Schofield et al. Oct 2001 B1
6310611 Caldwell Oct 2001 B1
6311119 Sawamoto et al. Oct 2001 B2
6313454 Bos et al. Nov 2001 B1
6315421 Apfelbeck et al. Nov 2001 B1
6317057 Lee Nov 2001 B1
6320176 Schofield et al. Nov 2001 B1
6320282 Caldwell Nov 2001 B1
6324450 Iwama Nov 2001 B1
6326613 Heslin et al. Dec 2001 B1
6329925 Skiver et al. Dec 2001 B1
6333759 Mazzilli Dec 2001 B1
6341523 Lynam Jan 2002 B2
6353392 Schofield et al. Mar 2002 B1
6362729 Hellmann et al. Mar 2002 B1
6366213 DeLine et al. Apr 2002 B2
6366236 Farmer et al. Apr 2002 B1
6370329 Teuchert Apr 2002 B1
6388565 Bernhard et al. May 2002 B1
6388580 Graham May 2002 B1
6396397 Bos et al. May 2002 B1
6411204 Bloomfield et al. Jun 2002 B1
6411328 Franke et al. Jun 2002 B1
6420975 DeLine et al. Jul 2002 B1
6424273 Gutta et al. Jul 2002 B1
6428172 Hutzel et al. Aug 2002 B1
6429594 Stam et al. Aug 2002 B1
6430303 Naoi et al. Aug 2002 B1
6433676 DeLine et al. Aug 2002 B2
6433817 Guerra Aug 2002 B1
6441748 Takagi et al. Aug 2002 B1
6442465 Breed et al. Aug 2002 B2
6469739 Bechtel et al. Oct 2002 B1
6472979 Schofield et al. Oct 2002 B2
6477464 McCarthy et al. Nov 2002 B2
6485155 Duroux et al. Nov 2002 B1
6497503 Dassanayake et al. Dec 2002 B1
6498620 Schofield et al. Dec 2002 B2
6513252 Schierbeek et al. Feb 2003 B1
6516272 Lin Feb 2003 B2
6516664 Lynam Feb 2003 B2
6523964 Schofield et al. Feb 2003 B2
6534884 Marcus et al. Mar 2003 B2
6539306 Turnbull Mar 2003 B2
6540193 DeLine Apr 2003 B1
6547133 DeVries, Jr. et al. Apr 2003 B1
6553130 Lemelson et al. Apr 2003 B1
6559435 Schofield et al. May 2003 B2
6574033 Chui et al. Jun 2003 B1
6578017 Ebersole et al. Jun 2003 B1
6587573 Stam et al. Jul 2003 B1
6589625 Kothari et al. Jul 2003 B1
6593565 Heslin et al. Jul 2003 B2
6594583 Ogura et al. Jul 2003 B2
6611202 Schofield et al. Aug 2003 B2
6611610 Stam et al. Aug 2003 B1
6627918 Getz et al. Sep 2003 B2
6631994 Suzuki et al. Oct 2003 B2
6636258 Strumolo Oct 2003 B2
6648477 Hutzel et al. Nov 2003 B2
6650233 DeLine et al. Nov 2003 B2
6650455 Miles Nov 2003 B2
6672731 Schnell et al. Jan 2004 B2
6674562 Miles Jan 2004 B1
6678056 Downs Jan 2004 B2
6678614 McCarthy et al. Jan 2004 B2
6680792 Miles Jan 2004 B2
6690268 Schofield et al. Feb 2004 B2
6700605 Toyoda et al. Mar 2004 B1
6703925 Steffel Mar 2004 B2
6704621 Stein et al. Mar 2004 B1
6710908 Miles et al. Mar 2004 B2
6711474 Treyz et al. Mar 2004 B1
6714331 Lewis et al. Mar 2004 B2
6717610 Bos et al. Apr 2004 B1
6728393 Stam et al. Apr 2004 B2
6728623 Takenaga et al. Apr 2004 B2
6735506 Breed et al. May 2004 B2
6741377 Miles May 2004 B2
6744353 Sjönell Jun 2004 B2
6757109 Bos Jun 2004 B2
6762867 Lippert et al. Jul 2004 B2
6765480 Tseng Jul 2004 B2
6784828 Delcheccolo et al. Aug 2004 B2
6794119 Miles Sep 2004 B2
6795221 Urey Sep 2004 B1
6801127 Mizusawa Oct 2004 B2
6801244 Takeda et al. Oct 2004 B2
6802617 Schofield et al. Oct 2004 B2
6806452 Bos et al. Oct 2004 B2
6812463 Okada Nov 2004 B2
6819231 Berberich et al. Nov 2004 B2
6822563 Bos et al. Nov 2004 B2
6823241 Shirato et al. Nov 2004 B2
6823261 Sekiguchi Nov 2004 B2
6824281 Schofield et al. Nov 2004 B2
6831261 Schofield et al. Dec 2004 B2
6838980 Gloger et al. Jan 2005 B2
6842189 Park Jan 2005 B2
6847487 Burgner Jan 2005 B2
6859148 Miller et al. Feb 2005 B2
6861809 Stam Mar 2005 B2
6873253 Veziris Mar 2005 B2
6882287 Schofield Apr 2005 B2
6888447 Hori et al. May 2005 B2
6889161 Winner et al. May 2005 B2
6891563 Schofield et al. May 2005 B2
6898518 Padmanabhan May 2005 B2
6906620 Nakai et al. Jun 2005 B2
6906639 Lemelson et al. Jun 2005 B2
6909753 Meehan et al. Jun 2005 B2
6914521 Rothkop Jul 2005 B2
6932669 Lee et al. Aug 2005 B2
6933837 Gunderson et al. Aug 2005 B2
6940423 Takagi et al. Sep 2005 B2
6946978 Schofield Sep 2005 B2
6950035 Tanaka et al. Sep 2005 B2
6953253 Schofield et al. Oct 2005 B2
6959994 Fujikawa et al. Nov 2005 B2
6961178 Sugino et al. Nov 2005 B2
6961661 Sekiguchi et al. Nov 2005 B2
6967569 Weber et al. Nov 2005 B2
6968736 Lynam Nov 2005 B2
6975775 Rykowski et al. Dec 2005 B2
6989736 Berberich et al. Jan 2006 B2
6995687 Lang et al. Feb 2006 B2
7004593 Weller et al. Feb 2006 B2
7004606 Schofield Feb 2006 B2
7005974 McMahon et al. Feb 2006 B2
7012727 Hutzel et al. Mar 2006 B2
7023331 Kodama Apr 2006 B2
7030738 Ishii Apr 2006 B2
7038577 Pawlicki et al. May 2006 B2
7046448 Burgner May 2006 B2
7057505 Iwamoto Jun 2006 B2
7057681 Hinata et al. Jun 2006 B2
7062300 Kim Jun 2006 B1
7065432 Moisel et al. Jun 2006 B2
7068289 Satoh et al. Jun 2006 B2
7085633 Nishira et al. Aug 2006 B2
7085637 Breed et al. Aug 2006 B2
7092548 Laumeyer et al. Aug 2006 B2
7095432 Nakayama et al. Aug 2006 B2
7106213 White Sep 2006 B2
7110021 Nobori et al. Sep 2006 B2
7110156 Lawlor et al. Sep 2006 B2
7116246 Winter et al. Oct 2006 B2
7121028 Shoen et al. Oct 2006 B2
7123168 Schofield Oct 2006 B2
7133661 Hatae et al. Nov 2006 B2
7149613 Stam et al. Dec 2006 B2
7167796 Taylor et al. Jan 2007 B2
7187498 Bengoechea et al. Mar 2007 B2
7195381 Lynam et al. Mar 2007 B2
7202776 Breed Apr 2007 B2
7202987 Varaprasad et al. Apr 2007 B2
7205904 Schofield Apr 2007 B2
7221363 Roberts et al. May 2007 B2
7224324 Quist et al. May 2007 B2
7227459 Bos et al. Jun 2007 B2
7227611 Hull et al. Jun 2007 B2
7235918 McCullough et al. Jun 2007 B2
7249860 Kulas et al. Jul 2007 B2
7253723 Lindahl et al. Aug 2007 B2
7255451 McCabe et al. Aug 2007 B2
7271951 Weber et al. Sep 2007 B2
7304661 Ishikura Dec 2007 B2
7311406 Schofield et al. Dec 2007 B2
7325934 Schofield et al. Feb 2008 B2
7325935 Schofield et al. Feb 2008 B2
7337055 Matsumoto et al. Feb 2008 B2
7338177 Lynam Mar 2008 B2
7339149 Schofield et al. Mar 2008 B1
7344261 Schofield et al. Mar 2008 B2
7355524 Schofield Apr 2008 B2
7360932 Uken et al. Apr 2008 B2
7370983 DeWind et al. May 2008 B2
7375803 Bamji May 2008 B1
7380948 Schofield et al. Jun 2008 B2
7388182 Schofield et al. Jun 2008 B2
7402786 Schofield et al. Jul 2008 B2
7420756 Lynam Sep 2008 B2
7423248 Schofield et al. Sep 2008 B2
7423821 Bechtel et al. Sep 2008 B2
7425076 Schofield et al. Sep 2008 B2
7429998 Kawauchi et al. Sep 2008 B2
7432967 Bechtel et al. Oct 2008 B2
7446924 Schofield et al. Nov 2008 B2
7459664 Schofield et al. Dec 2008 B2
7460007 Schofield et al. Dec 2008 B2
7474963 Taylor et al. Jan 2009 B2
7489374 Utsumi et al. Feb 2009 B2
7495719 Adachi et al. Feb 2009 B2
7525604 Xue Apr 2009 B2
7526103 Schofield et al. Apr 2009 B2
7541743 Salmeen et al. Jun 2009 B2
7543946 Ockerse et al. Jun 2009 B2
7545429 Travis Jun 2009 B2
7548291 Lee et al. Jun 2009 B2
7551103 Schofield Jun 2009 B2
7561181 Schofield et al. Jul 2009 B2
7565006 Stam et al. Jul 2009 B2
7567291 Bechtel et al. Jul 2009 B2
7613327 Stam et al. Nov 2009 B2
7616781 Schofield et al. Nov 2009 B2
7619508 Lynam et al. Nov 2009 B2
7629996 Rademacher et al. Dec 2009 B2
7633383 Dunsmoir et al. Dec 2009 B2
7639149 Katoh Dec 2009 B2
7653215 Stam Jan 2010 B2
7655894 Schofield et al. Feb 2010 B2
7663798 Tonar et al. Feb 2010 B2
7676087 Dhua et al. Mar 2010 B2
7720580 Higgins-Luthman May 2010 B2
7724434 Cross et al. May 2010 B2
7731403 Lynam et al. Jun 2010 B2
7742864 Sekiguchi Jun 2010 B2
7791694 Molsen et al. Sep 2010 B2
7792329 Schofield et al. Sep 2010 B2
7842154 Lynam Nov 2010 B2
7843451 Lafon Nov 2010 B2
7854514 Conner et al. Dec 2010 B2
7855755 Weller et al. Dec 2010 B2
7855778 Yung et al. Dec 2010 B2
7859565 Schofield et al. Dec 2010 B2
7881496 Camilleri Feb 2011 B2
7903324 Kobayashi et al. Mar 2011 B2
7903335 Nieuwkerk et al. Mar 2011 B2
7914187 Higgins-Luthman et al. Mar 2011 B2
7930160 Hosagrahara et al. Apr 2011 B1
7949152 Schofield et al. May 2011 B2
7965357 Van De Witte et al. Jun 2011 B2
7994462 Schofield et al. Aug 2011 B2
8017898 Lu et al. Sep 2011 B2
8027691 Bernas et al. Sep 2011 B2
8090153 Schofield et al. Jan 2012 B2
8095310 Taylor et al. Jan 2012 B2
8098142 Schofield et al. Jan 2012 B2
8115394 Kobayashi Feb 2012 B2
8120652 Bechtel et al. Feb 2012 B2
8184159 Luo May 2012 B2
8203440 Schofield et al. Jun 2012 B2
8222588 Schofield et al. Jul 2012 B2
8224031 Saito Jul 2012 B2
8289430 Bechtel et al. Oct 2012 B2
8305471 Bechtel et al. Nov 2012 B2
8308325 Takayanazi et al. Nov 2012 B2
8314689 Schofield et al. Nov 2012 B2
8324552 Schofield et al. Dec 2012 B2
8339526 Minikey, Jr. et al. Dec 2012 B2
8405726 Schofield et al. Mar 2013 B2
20020113873 Williams Aug 2002 A1
20030137586 Lewellen Jul 2003 A1
20030222982 Hamdan et al. Dec 2003 A1
20040200948 Bos et al. Oct 2004 A1
20050073853 Stam Apr 2005 A1
20050219852 Stam et al. Oct 2005 A1
20050237385 Kosaka et al. Oct 2005 A1
20060018511 Stam et al. Jan 2006 A1
20060018512 Stam et al. Jan 2006 A1
20060050018 Hutzel et al. Mar 2006 A1
20060091813 Stam et al. May 2006 A1
20060103727 Tseng May 2006 A1
20060250501 Widmann et al. Nov 2006 A1
20070104476 Yasutomi et al. May 2007 A1
20070109406 Schofield et al. May 2007 A1
20070120657 Schofield et al. May 2007 A1
20070242339 Bradley Oct 2007 A1
20080147321 Howard et al. Jun 2008 A1
20090045323 Lu et al. Feb 2009 A1
20090052003 Schofield et al. Feb 2009 A1
20090113509 Tseng et al. Apr 2009 A1
20090190015 Bechtel et al. Jul 2009 A1
20090201137 Weller et al. Aug 2009 A1
20090256938 Bechtel et al. Oct 2009 A1
20120045112 Lundblad et al. Feb 2012 A1
Foreign Referenced Citations (126)
Number Date Country
1152627 Aug 1963 DE
1182971 Dec 1964 DE
1190413 Apr 1965 DE
1196598 Jul 1965 DE
1214174 Apr 1966 DE
3004247 Aug 1981 DE
3101855 Aug 1982 DE
3248511 Jul 1984 DE
3601388 Jul 1987 DE
3637165 May 1988 DE
3833022 Apr 1990 DE
3839512 May 1990 DE
3839513 May 1990 DE
3840425 Jun 1990 DE
3844364 Jul 1990 DE
9010196 Sep 1990 DE
4107965 Sep 1991 DE
4111993 Oct 1991 DE
4116255 Dec 1991 DE
4130010 Mar 1992 DE
4133882 Apr 1992 DE
4122531 Jan 1993 DE
4124654 Jan 1993 DE
4300941 Jul 1993 DE
4137551 Nov 1993 DE
4231137 Feb 1994 DE
4328304 Mar 1994 DE
4332612 Apr 1994 DE
4238599 Jun 1994 DE
4332836 Sep 1994 DE
4407082 Sep 1994 DE
4407757 Sep 1994 DE
4411179 Oct 1994 DE
4412669 Oct 1994 DE
4418122 Dec 1994 DE
4423966 Jan 1995 DE
4336288 Mar 1995 DE
4428069 Mar 1995 DE
4434698 Mar 1995 DE
4341409 Jun 1995 DE
69107283 Jul 1995 DE
19518978 Nov 1995 DE
4480341 Mar 1996 DE
361914 Apr 1990 EP
0450553 Apr 1991 EP
0426503 May 1991 EP
0202460 Oct 1991 EP
454516 Oct 1991 EP
455524 Nov 1991 EP
477986 Apr 1992 EP
487100 May 1992 EP
0492591 Jul 1992 EP
495508 Jul 1992 EP
496411 Jul 1992 EP
505237 Sep 1992 EP
0513476 Nov 1992 EP
514343 Nov 1992 EP
527665 Feb 1993 EP
0830267 May 1993 EP
582236 Feb 1994 EP
0605045 Jul 1994 EP
617296 Sep 1994 EP
626654 Nov 1994 EP
640903 Mar 1995 EP
642950 Mar 1995 EP
654392 May 1995 EP
686865 Dec 1995 EP
0788947 Aug 1997 EP
0889801 Jul 2008 EP
914827 Jan 1963 GB
1000265 Aug 1965 GB
1054064 Jan 1967 GB
S5539843 Mar 1980 JP
58110334 Jun 1983 JP
59114139 Jul 1984 JP
6079889 May 1985 JP
6080953 May 1985 JP
60240545 Nov 1985 JP
6272245 May 1987 JP
S62115600 May 1987 JP
62131837 Jun 1987 JP
6414700 Jan 1989 JP
01123587 May 1989 JP
02190978 Jul 1990 JP
03099952 Apr 1991 JP
03266739 Nov 1991 JP
04239400 Nov 1991 JP
4114587 Apr 1992 JP
04127280 Apr 1992 JP
4291405 Oct 1992 JP
0577657 Mar 1993 JP
05050883 Mar 1993 JP
5189694 Jul 1993 JP
5213113 Aug 1993 JP
05244596 Sep 1993 JP
06107035 Apr 1994 JP
06113215 Apr 1994 JP
06117924 Apr 1994 JP
06150198 May 1994 JP
6227318 Aug 1994 JP
06230115 Aug 1994 JP
06247246 Sep 1994 JP
06267304 Sep 1994 JP
06270733 Sep 1994 JP
06276524 Sep 1994 JP
06295601 Oct 1994 JP
06321007 Nov 1994 JP
07025286 Jan 1995 JP
732936 Feb 1995 JP
7032935 Feb 1995 JP
7047878 Feb 1995 JP
7052706 Feb 1995 JP
7069125 Mar 1995 JP
07078240 Mar 1995 JP
07105496 Apr 1995 JP
7125571 May 1995 JP
7137574 May 1995 JP
7186818 Jul 1995 JP
06113215 Dec 1995 JP
08166221 Jun 1996 JP
06321007 Jul 1996 JP
07078240 Sep 1996 JP
2630604 Apr 1997 JP
2003083742 Mar 2003 JP
WO 8605147 Sep 1986 WO
WO 9621581 Jul 1996 WO
Non-Patent Literature Citations (52)
Entry
G. Wang, D. Renshaw, P.B. Denyer and M. Lu, CMOS Video Cameras, article, 1991, 4 pages, University of Edinburgh, UK.
J. Borenstein et al., “Where am I? Sensors and Method for Mobile Robot Positioning”, University of Michigan, Apr. 1996, pp. 2, 125-128.
Reexamination Control No. 90/007,519, dated Jun. 9, 2005, Reexamination of U.S. Patent No. 6,222,447, issued to Schofield et al.
Reexamination Control No. 90/007,520, dated Jun. 9, 2005, Reexamination of U.S. Patent No. 5,949,331, issued to Schofield et al.
Van Leeuwen et al., “Motion Estimation with a Mobile Camera for Traffic Applications”, IEEE, US, vol. 1, Oct. 3, 2000, pp. 58-63.
Van Leeuwen et al., “Motion Interpretation for In-Car Vision Systems”, IEEE, US, vol. 1, Sep. 30, 2002, p. 135-140.
Van Leeuwen et al., “Requirements for Motion Estimation in Image Sequences for Traffic Applications”, IEEE, US, vol. 1, May 24, 1999, pp. 145-150, XP010340272.
Schwarzinger 1992; Jul. 1, 1992; Schwarzinger et al.; “Vision-based car-following: detection, tracking, and identification”.
Jochem 1995; Sep. 26, 1995; Jochem et al.; “PANS: a portable navigation platform”.
Ritter 1995; Oct. 1995; Ritter et al.;“Traffic sign recognition using colour information”.
Kuehnle 1991; Kuehnle; Apr. 1991; Symmetry-based recognition of vehicle rears.
Dubuisson-Jolly 1996; Mar. 1996; Dubuisson-Jolly ;“Vehicle segmentation and classification using deformable templates”.
Mendis-1993 ; Dec. 8, 1993; Mendis et al.; “A 128×128 CMOS active pixel image sensor for highly integrated imaging systems”.
Thomanek-1994 ; Oct. 1994; Thomanek et al.; “Multiple object recognition and scene interpretation for autonomous road vehicle guidance”.
Vosselman 1995; 1995; Vosselman et al.; “Road tracking by profile matching and Kalman filtering”.
Dickmanns-1992; Feb. 1992; Dickmanns et al.; “Recursive 3-D road and relative ego-state recognition”.
Dickmanns; 1991; Dickmanns; “4-D dynamic vision for intelligent motion control”.
Dickmanns 1990; Dec. 1990; Dickmanns et al.; “An integrated spatio-temporal approach to automatic visual guidance of autonomous vehicles”.
Fossum-1995; Oct. 11, 1995; Fossum; “Low power camera-on-a-chip using CMOS active pixel sensor technology”.
Auty 1995; Mar. 14, 1995; Auty et al.; “Image acquisition system for traffic monitoring applications”.
Barron-1996 ; Mar. 1996; Barron et al.;“The role of electronic controls for future automotive mechatronic systems”.
Cassiano-1992 ; Feb. 14, 1992; Cassiano et al.; “Review of filtering methods in mobile vision from ground vehicles in low light conditions”.
Huijsing-1992 ; 1992; Huijsing; “Integrated smart sensors”.
Lee 1994; Nov. 16, 1994 ; Lee et al.; “Automatic recognition of a car license plate using color image processing”.
Malik 1995; Sep. 1995; Malik et al.; “A Machine Vision Based System for Guiding Lane-change Maneuvers”.
Nguyen-1992 ; Jul. 1, 1992; Nguyen et al.; “Obstacle detection using bi-spectrum CCD camera and image processing”.
Nixon 1995; 1995; Nixon et al.; “128×128 CMOS Photodiode-Type Active Pixel Sensor With On-Chip Timing, Control and Signal Chain Electronics”.
Smith 1992; May 11, 1992; Smith et al.; “Optical sensors for automotive applications”.
Smith 1994; Oct. 5, 1994; Smith et al.; “Vision sensing for intelligent vehicle and highway systems”.
Vellacott 1994; May 19, 1994; Vellacott; “CMOS in camera”.
Yu 1995; 1995; Yu et al.; “Vehicles Recognition by Video Camera”.
Sukthankar 1992; Oct. 1992; Sukthankar; “RACCOON: A Real-time Autonomous Car Chaser Operating Optimally at Night”.
IEEE Paper 1988; Thorpe, at al, Vision and Navigation for the Carnegie-Mellon Navlab.
IEEE Paper 1988; Turk, et al., “VITS—A Vision System for Autonomous Land Vehicle Navigation”.
Paper from Society of Automotive Engineers, Inc. 1988; Metzler, “Computer Vision Applied to Vehicle Operation”.
IEE Paper 1991; Crisman and Thorpe; “UNSCARF, A Color Vision System for the Detection of Unstructured Roads”.
Technical Report AIP-77 Department of Psychology, Carnegie Mellon University; Mar. 13, 1990; Pomerleau; “Alvinn: An Autonomous Land Vehicle in a Neural Network”.
Donnelly Panoramic Vision™ on Renault Talisman Concept Car At Frankfort Motor Show, PR Newswire, Frankfort, Germany Sep. 10, 2001.
Proceedings. IECON '91., 1991 International Conference on, p. 19-24 vol. 1.
Denyer, Peter B.; Renshaw, David; Wang, Gouyu; Lu, Ming Ying; and Anderson, Stuart, On-Chip CMOS Sensors for VLSI Imaging Systems, pp. 4b1.1-4b1.5.
Article entitled “Generation of Vision Technology,” published by VLSI Vision Limited, publication date unknown.
R.H. Tribe, Intelligent Autonomous Systems for Cars, Advanced Robotics and Intelligent Machines, Peter Peregrinus (Nov. 1994).
R.H. Tribe et al., Collision Warning, Autotech '93, Seminar 9, NEC Birmingham, UK (Nov. 1993).
M.A. Arain et al., Action planning for the collision avoidance system using neural networks, Intelligent Vehicle Symposium, Tokyo, Japan (Jul. 1993).
P.E. An et al., Aspects of Neural Networks in Intelligent Collision Avoidance Systems for Prometheus, JFIT 93, pp. 129-135 (Mar. 1993).
R. Page et al., Advanced technologies for collision avoidance, Eureka on Campus (Summer 1992).
S. Kidd et al., Speed Over Ground Measurement, SAE Technical Paper Series, No. 910272, pp. 29-36 (Feb.-Mar. 1991).
Andreas Kuehnle, Symmetry-based recognition of vehicle rears, Pattern Recognition Letters 12, pp. 249-258 (1991).
M.A. Arain et al., Application of Neural Networks for Traffic Scenario Identification, 4th Prometheus Workshop, University of Compiegne, Paris, France, pp. 102-111 (Sep. 1990).
R.H. Tribe, Collision Avoidance, Advances, Issue No. 4, May 1990.
R.H. Tribe et al., Collision Avoidance, Lucas International Symposium, Paris, France (1989).
S.J. Pacaud et al., Ground Speed Sensing, Lucas International Symposium, Paris, France (1989).
Related Publications (1)
Number Date Country
20130242582 A1 Sep 2013 US
Provisional Applications (2)
Number Date Country
60845381 Sep 2006 US
60837408 Aug 2006 US
Continuations (3)
Number Date Country
Parent 13452130 Apr 2012 US
Child 13887727 US
Parent 13173039 Jun 2011 US
Child 13452130 US
Parent 12377054 US
Child 13173039 US