CN104185342B - A kind of automotive lighting method and apparatus - Google Patents

Abstract

The invention discloses a kind of automotive lighting method and apparatus, belong to lighting field.Described method includes: obtain the gradation data of present image；According to the gradation data of present image, determine image information；According to image information, control long-and-short distant light.The present invention is by first obtaining the gradation data of present image；Then according to the gradation data of present image, image information is determined；Finally according to image information, control long-and-short distant light.This automotive lighting method uses the method for image procossing to obtain image information, simplify collection data mode, and then reduce the wiring complexity of car headlight device, alleviate car headlight device installation workload, more cost-effective, improve car headlight device work reliability.

Description

A kind of automotive lighting method and apparatus

Technical field

The present invention relates to lighting field, particularly to a kind of automotive lighting method and apparatus.

Background technology

Along with expanding economy, the technology of energy-conserving and environment-protective is increasingly subject to people's attention, intelligent lighting conduct One energy-conservation high-tech technology also begins to be paid close attention to by people.

Intelligent lighting is to utilize advanced electromagnetic voltage adjusting and electronic induction technology, power supply is monitored in real time with Track, the voltage and current amplitude of automatic smoothing ground regulation circuit, improve uncompensated load in lighting circuit and carried The extra power consumption come, improves power factor (PF), reduces light fixture and the operating temperature of circuit, reaches to optimize power supply mesh Lighting Control Assembly.

Automobile intelligent illumination is a kind of application of intelligent lighting, and it had both achieved the saving energy, and can be again automobile Different mode of operations is provided, brings the lighting experience of intelligent environment protection for driver.

During realizing the present invention, inventor finds that prior art at least there is problems in that

In actual applications, Intelligent lightening device, in order to be applicable to multiple operative scenario, needs to install multiple biography Sensor is to obtain desired data, and these sensors are distributed in the diverse location of vehicle so that intelligent lighting fills Putting wiring complexity, in engineering construction, workload is big, and installation cost is high, more makes Intelligent lightening device work Reliability reduces.

Summary of the invention

The problem the highest in order to solve intelligent automobile Intelligent lightening device wiring reliability complicated, work, this Inventive embodiments provides a kind of automotive lighting method and apparatus.Described technical scheme is as follows:

On the one hand, it is provided that a kind of automotive lighting method, described method includes:

Obtaining the gradation data of present image, described gradation data includes the gray value of each pixel in image；

According to the gradation data of described present image, determine that image information, described image information include described working as The grey scale change absolute value sum specifying each pixel in region of front image and a upper image or described work as The average gray value specifying region of front image；

According to described image information, control described long-and-short distant light；

Described image information includes the average gray value specifying region of described present image, described in described basis Image information, controls described long-and-short distant light and includes:

Relatively the average gray value specifying region of described present image and the first numerical value and second value is big Little, described first numerical value is more than described second value, and described first numerical value and described second value are both greater than 0；

If the average gray value specifying region of described present image is more than described first numerical value, then reduce dipped beam The brightness of lamp；

If the average gray value specifying region of described present image less than or equal to described first numerical value and is more than Or equal to described second value, then the brightness maintaining current dipped headlights is constant；

If the average gray value specifying region of described present image is less than described second value, then increase dipped beam The brightness of lamp；

Described present image information includes described present image and each pixel in the appointment region of a upper image Grey scale change absolute value sum, described according to described image information, control described long-and-short distant light and include:

Relatively described present image and the grey scale change absolute value of each pixel in the appointment region of a upper image Sum and the size of third value, described third value is more than 0；

If described present image and a upper image specify in region the grey scale change absolute value of each pixel it With more than described third value, then close high beam.

Specifically, the gradation data of described acquisition present image includes:

Charge Coupled Device (CCD) imageing sensor is used to obtain the gradation data of present image.

Specifically, the gradation data of described acquisition present image includes:

According to the default cycle, obtain the gradation data of image.

On the other hand, it is provided that a kind of car headlight device, described device includes:

Acquisition module, for obtaining the gradation data of present image, described gradation data includes in image each The gray value of pixel；

Determine module, the gradation data of the described present image for getting according to described acquisition module, really Determining image information, described image information includes described present image and each picture in the appointment region of a upper image The grey scale change absolute value sum of vegetarian refreshments or the average gray value specifying region of described present image；

Processing module, for according to the described described image information determining that module determines, controls described distance-light Lamp；

Described image information includes the average gray value specifying region of described present image, described processing module Including:

First comparing unit, for the average gray value specifying region and first number of relatively described present image Value and the size of second value, described first numerical value is more than described second value, and described first numerical value and institute State second value and be both greater than 0；

First processing unit, for specifying the average gray value in region more than described the at described present image During one numerical value, reduce the brightness of dipped headlights；

The average gray value specifying region at described present image less than or equal to described first numerical value and is more than Or during equal to described second value, the brightness maintaining current dipped headlights is constant；

When the average gray value specifying region of described present image is less than described second value, increase dipped beam The brightness of lamp；

Described present image information includes described present image and each pixel in the appointment region of a upper image Grey scale change absolute value sum, described processing module includes:

Second comparing unit, each pixel in the relatively described present image appointment region with a upper image The grey scale change absolute value sum of point and the size of third value, described third value is more than 0；

Second processing unit, for described present image with on an image appointment region in each pixel Grey scale change absolute value sum more than described third value time, close high beam.

Specifically, described acquisition module includes:

Charge Coupled Device (CCD) imageing sensor, for obtaining the gradation data of present image.

Specifically, described acquisition module includes:

Acquiring unit, for according to the cycle preset, obtaining the gradation data of image.

The technical scheme that the embodiment of the present invention provides has the benefit that

By obtaining the gradation data of present image；Then according to the gradation data of present image, image is determined Information；Finally according to image information, control long-and-short distant light.This automotive lighting method uses image procossing Method, simplifies collection data mode, and then reduces the wiring complexity of car headlight device, alleviates Car headlight device installation workload, more cost-effective, improve the reliability of car headlight device work.

Accompanying drawing explanation

For the technical scheme being illustrated more clearly that in the embodiment of the present invention, institute in embodiment being described below The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is only the present invention Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, Other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is a kind of automotive lighting method flow diagram that the embodiment of the present invention one provides；

Fig. 2 is a kind of automotive lighting method flow diagram that the embodiment of the present invention two provides；

Fig. 3 is a kind of automotive lighting method flow diagram that the embodiment of the present invention three provides；

Fig. 4 is a kind of car headlight device structural representation that the embodiment of the present invention four provides；

Fig. 5 is a kind of car headlight device structural representation that the embodiment of the present invention five provides；

Fig. 6 is a kind of car headlight device structural representation that the embodiment of the present invention six provides.

Detailed description of the invention

For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to the present invention Embodiment is described in further detail.

Embodiment one

Embodiments provide a kind of automotive lighting method, it is adaptable to control the long-and-short distant light of automobile, ginseng See that Fig. 1, the method flow process include:

Step S11, obtains the gradation data of present image, and this gradation data includes each pixel in image Gray value.

In actual applications, (Charge Coupled Device is called for short can to use Charge Coupled Device (CCD) " CCD ") imageing sensor obtains the gradation data of external environment image.

Step S12, according to the gradation data of present image, determines image information, and this image information includes currently The grey scale change absolute value sum specifying each pixel in region of image and a upper image or present image Specify region average gray value.

Specifically, region of formulating here can be whole image-region, it is also possible to be specific in image Region.Here a upper image can be two images that CCD absorbs continuously with the relation of present image.

In actual applications, in order to improve the processing speed of view data, carrying out image real time transfer calculating Before, some Image semantic classification measures can be used.

The most first the monoblock image comprising gray value data is divided into the image-region of fritter, then according to little The view data of block image-region determines the image information in small images region, finally according to small images region Image information determine the image information of monoblock image.

Further, it is also possible to use Digital Signal Processing (Digital Signal Processing is called for short " DSP ") Technology carries out the filtering of digital picture to improve the signal to noise ratio of view data, and then obtains more accurate picture number According to.

Additionally, due to have certain dependency between adjacent image point, it is also possible to utilize between image adjacent image point Correlation coefficient extract bright territory in image and the border between dark territory, and then obtain more accurate view data.

Step S13, according to image information, controls long-and-short distant light.

Specifically, Intelligent automobile lighting system, according to image information, sends corresponding control signal, to control The switch of long-and-short distant light and brightness flop.

In actual applications, detection present image and the gray scale of each pixel in the appointment region of a upper image Change absolute value sum may determine that the illuminance amplitude of variation of external environment, due to only at road without other Luminaire, and to sending a car to nothing in the case of, high beam could be used, external environment illuminance dash forward During the most significantly change (such as carried out correct vehicle, or entered the place that illuminance is sufficient), by detection Variation of image grayscale absolute value sum, Intelligent automobile lighting system sends corresponding control signal, closing automobile High beam.

In actual applications, the average gray specifying region of detection present image may determine that external environment The intensity of illuminance, and then may determine that in the illuminator of automobile whether the brightness of light fixture meets illumination and want Asking, such as, during driving at night, do not have street lamp by some roads, the visual field of driver is affected, and passes through Detection gradation of image meansigma methods, Intelligent automobile lighting system sends corresponding control signal, increases automobile headlamp Brightness, to ensure that driver has a good visual field；Having street lamp by some roads, the headlight of automobile is bright Can waste electric energy if spending height, by detection gradation of image meansigma methods, intelligent illuminating system can send phase The control signal answered, reduces the brightness of automobile headlamp, the most both can ensure that driver had good regarding Open country, reduces again unnecessary power consumption.

In actual applications, the switch of long-and-short distant light and brightness flop can be arranged to corresponding light illumination mode, So that the work of Intelligent automobile lighting system.

Specifically, light illumination mode includes:

Energy saver mode, too high for the illuminance at current car headlight device (i.e. high beam or dipped headlights) Time, reduce the brightness of light fixture in current car headlight device.

Maintenance pattern, for when the illuminance of current car headlight device is suitable for, maintains current automotive lighting In device, the brightness of light fixture is constant.

Blast pattern, for when the illuminance of current car headlight device is too low, increases current automotive lighting The brightness of light fixture in device.

Safe mode, for when need not high beam illumination, closing the distance light in current car headlight device Lamp.

In actual applications, by the change of control signal regulation light illumination mode, it is achieved intelligent lighting operates, This intelligent lighting had both saved the energy, provided again the lighting experience of hommization for driver.

The embodiment of the present invention is by obtaining the gradation data of present image；Then according to the grey of present image According to, determine image information；Finally according to image information, control long-and-short distant light.This automotive lighting method is adopted By the method for image procossing, simplify collection data mode, and then the wiring reducing car headlight device is multiple Miscellaneous degree, alleviate car headlight device installation workload, more cost-effective, improve car headlight device The reliability of work.

Embodiment two

Embodiments provide a kind of automotive lighting method, it is adaptable to control the long-and-short distant light of automobile, ginseng Seeing that Fig. 2, image information include the average gray value specifying region of present image, the method flow process includes:

Step S21, obtains the gradation data of present image, and this gradation data includes each pixel in image Gray value.

In actual applications, CCD can be used to obtain the gradation data of external environment image.

Specifically, it is assumed that gather the illuminance size in data area be distributed as a two-dimensional array g (i, j).

According to the corresponding relation p of the gray value of each pixel in image Yu the illuminance of correspondence position, obtain ash Distribution f (i, the j)=p (g (i, j)) of angle value size.Corresponding concrete calculation processes is the most ripe technology, this In do not repeating.

Specifically, this step 21 includes: according to the default cycle, obtain the gradation data of image.

In actual applications, by regulating the length of predetermined period, driver's seat can be adjusted more timely Interior illuminance, the driving for driver provides a good photoenvironment.

Step S22, according to the gradation data of present image, determines image information, and this image information includes currently The average gray value specifying region of image.

Specifically, region of specifying here can be whole image-region, it is also possible to be the part in image Region.

In actual applications, in order to improve the processing speed of view data, carrying out image real time transfer calculating Before, some Image semantic classification measures can be used.

The most first the monoblock image comprising gray value data is divided into the image-region of fritter, then according to little The view data of block image-region determines the gradation of image meansigma methods in small images region, finally according to fritter figure As the gradation of image meansigma methods in region determines the gradation of image meansigma methods of monoblock image.

Further, it is also possible to use DSP technology to carry out the filtering of digital picture with the letter improving view data Make an uproar ratio, and then obtain more accurate view data.

Additionally, due to have certain dependency between adjacent image point, it is also possible to utilize between image adjacent image point Correlation coefficient extract bright territory in image and the border between dark territory, and then obtain more accurate view data.

Specifically, being calculated as follows of average gray value specifying region of image:

Assuming that the distribution f of the gray value size specifying region of image (i j) is the square of m × n (i.e. m row n row) Battle array, and the element of this array is: a_ij；Then

$f(i,j)=\left[\begin{array}{cccc}{a}_{11}& a_{12}& \mathrm{...}& a_{1n}\\ a_{21}& a_{22}& \mathrm{...}& a_{2n}\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ a_{m1}& a_{m2}& \mathrm{...}& a_{mn}\end{array}\right]$

Then from the foregoing, it will be observed that image specify region average gray value:

$Z_a=\frac{\underset{j=1}{\overset{n}{\Σ}}\underset{i=1}{\overset{m}{\Σ}}{a}_{ij}}{m\×n}$

Step S23, that compares present image specifies the average gray value in region and the first numerical value and second value Size.If the average gray value specifying region of present image is more than the first numerical value, then perform step S24；If The average gray value specifying region of present image less than or equal to the first numerical value and is more than or equal to the second number Value, then perform step S25；If the average gray value specifying region of present image is less than second value, then hold Row step S26.

This first numerical value and second value be both greater than 0 and second value more than big two numerical value, its concrete numerical value can To arrange according to reality, the present invention is without limitation.

Step S24, reduces the brightness of dipped headlights.

Step S25, the brightness maintaining current dipped headlights is constant.

Step S26, increases the brightness of dipped headlights.

In actual applications, by than the average gray value specifying region of current relatively image and the first numerical value and The size of second value, whether the intensity of illumination that can specify car headlight device exceeds suitable scope, so Afterwards by the brightness of Intelligent automobile lighting system regulation light fixture so that the illuminance in driver's seat maintains In one applicable scope, the most both saved the energy, and one can have been provided for driver again and be suitable to eye Photoenvironment.

The circulation of abovementioned steps S21-26 performs.

The embodiment of the present invention is by obtaining the gradation data of present image；Then according to the grey of present image According to, determine image information；Finally according to image information, control long-and-short distant light.This automotive lighting method is adopted By the method for image procossing, simplify collection data mode, and then the wiring reducing car headlight device is multiple Miscellaneous degree, alleviate car headlight device installation workload, more cost-effective, improve car headlight device The reliability of work.

Embodiment three

Embodiments provide a kind of automotive lighting method, it is adaptable to control the long-and-short distant light of automobile, ginseng See that Fig. 3, image information include present image and the grey scale change of each pixel in the appointment region of a upper image Absolute value sum, the method flow process includes:

Step S31, obtains the gradation data of present image, and this gradation data includes each pixel in image Gray value.

In actual applications, CCD can be used to obtain the gradation data of external environment image.

Specifically, the gradation data process of CCD acquisition external environment image is as follows: assuming that gather data area In illuminance size be distributed as a two-dimensional array g (i, j).

According to the corresponding relation p of the gray value of each pixel in image Yu the illuminance of correspondence position, can obtain Distribution f (i, j)=p (g (i, j)) to gray value size.Corresponding concrete calculation processes is the most ripe skill Art, is not repeating.

Specifically, this step 31 includes: according to the default cycle, obtain the gradation data of image.

In actual applications, by regulating the length of predetermined period, driver's seat can be adjusted more timely Interior illuminance, the driving for driver provides a good photoenvironment.

Step S32, according to the gradation data of present image, determines image information, and this image information includes currently Image specifies the grey scale change absolute value sum of each pixel in region with a upper image.

Specifically, region of formulating here can be whole image-region, it is also possible to be specific in image Region.Here a upper image can be two images that CCD absorbs continuously with the relation of present image.

In actual applications, in order to improve the processing speed of view data, carrying out image real time transfer calculating Before, some Image semantic classification measures can be used.

The most first the monoblock image comprising gray value data is divided into the image-region of fritter, then according to little The view data of block image-region determines the variation of image grayscale absolute value sum in small images region, last root Determine that the variation of image grayscale of monoblock image is absolute according to the variation of image grayscale absolute value sum in small images region Value sum.

Further, it is also possible to use DSP technology to carry out the filtering of digital picture with the letter improving view data Make an uproar ratio, and then obtain more accurate view data.

Additionally, due to have certain dependency between adjacent image point, it is also possible to utilize between image adjacent image point Correlation coefficient extract bright territory in image and the border between dark territory, and then obtain more accurate view data.

Specifically, the image of two adjacent moment is chosen, it is assumed that during t0 moment, the grey value profile of image represents For f_t0(i,j)；

In time arriving t1 moment after a while, the grey value profile of image is expressed as f_t1(i,j)；

So variation of image grayscale absolute value be σ f (i, j)=| f_t1(i,j)-f_t0(i,j)|；

Assuming that the distribution σ f of gray-value variation order of magnitude (i, j) is the matrix of m × n (i.e. m row n row), and The element of this array is: a_ij；Then

$\mathrm{\σ}f(i,j)=\left[\begin{array}{cccc}{a}_{11}& a_{12}& \mathrm{...}& a_{1n}\\ a_{21}& a_{22}& \mathrm{...}& a_{2n}\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ a_{m1}& a_{m2}& \mathrm{...}& a_{mn}\end{array}\right]$

So, from t0 to t1, variation of image grayscale absolute value sum is:

$X_a=\underset{j=1}{\overset{n}{\Σ}}\underset{i=1}{\overset{m}{\Σ}}{a}_{ij}$

Step S33, compares present image exhausted with the grey scale change of each pixel in the appointment region of a upper image Size to value sum with third value, this third value is more than 0.

If present image specifies the grey scale change absolute value sum of each pixel in region big with a upper image In third value, then perform step S34.

Step S34, closes high beam.

Under default situations, the use of dazzle light is by driver from main separation, and driver can be according to reality Border demand is adjusted to automatically turn on, and, the vehicle accident typically caused by high beam is mainly driven The person of sailing closes caused by high beam the most in good time.The closedown of high beam is controlled now by Intelligent automobile lighting system, Both can save unnecessary waste of energy, the traffic thing caused by unreasonable use high beam can have been reduced again Therefore generation.

The circulation of abovementioned steps S31-S34 performs.

The embodiment of the present invention is by obtaining the gradation data of present image；Then according to the grey of present image According to, determine image information；Finally according to image information, control long-and-short distant light.This automotive lighting method is adopted By the method for image procossing, simplify collection data mode, and then the wiring reducing car headlight device is multiple Miscellaneous degree, alleviate car headlight device installation workload, more cost-effective, improve car headlight device The reliability of work.

Embodiment four

Embodiments provide a kind of car headlight device, it is adaptable to the long-and-short distant light controlling automobile sees Fig. 4, this device includes:

Acquisition module 101, for obtaining the gradation data of present image, this gradation data includes in image each The gray value of pixel.

In actual applications, ccd image sensor can be used to obtain the gradation data of external environment image.

Determine module 102, the gradation data of the present image for getting according to acquisition module 101, determine Image information, this image information includes present image and the ash of each pixel in the appointment region of a upper image Degree change absolute value sum or the average gray value specifying region of present image.

Specifically, region of formulating here can be whole image-region, it is also possible to be specific in image Region.Here a upper image can be two images that CCD absorbs continuously with the relation of present image.

In actual applications, in order to improve the processing speed of view data, carrying out image real time transfer calculating Before, some Image semantic classification measures can be used.

The most first the monoblock image comprising gray value data is divided into the image-region of fritter, then according to little The view data of block image-region determines the image information in small images region, finally according to small images region Image information determine the image information of monoblock image.

Further, it is also possible to use DSP technology to carry out the filtering of digital picture with the letter improving view data Make an uproar ratio, and then obtain more accurate view data.

Additionally, due to have certain dependency between adjacent image point, it is also possible to utilize between image adjacent image point Correlation coefficient extract bright territory in image and the border between dark territory, and then obtain more accurate view data.

Processing module 103, for according to the image information determining that module 102 determines, controls long-and-short distant light.

Specifically, Intelligent automobile lighting system, according to image information, sends corresponding control signal, to control The switch of long-and-short distant light and brightness flop.

In actual applications, detection present image and the gray scale of each pixel in the appointment region of a upper image Change absolute value sum may determine that the illuminance amplitude of variation of external environment, due to only at road without other Luminaire, and to sending a car to nothing in the case of, high beam could be used, external environment illuminance dash forward During the most significantly change (such as carried out correct vehicle, or entered the place that illuminance is sufficient), by detection Variation of image grayscale absolute value sum, Intelligent automobile lighting system sends corresponding control signal, closing automobile High beam.

In actual applications, the average gray specifying region of detection present image may determine that external environment The intensity of illuminance, and then may determine that in the illuminator of automobile whether the brightness of light fixture meets illumination and want Asking, such as, during driving at night, do not have street lamp by some roads, the visual field of driver is affected, and passes through Detection gradation of image meansigma methods, Intelligent automobile lighting system sends corresponding control signal, increases automobile headlamp Brightness, to ensure that driver has a good visual field；Having street lamp by some roads, the headlight of automobile is bright Can waste electric energy if spending height, by detection gradation of image meansigma methods, intelligent illuminating system can send phase The control signal answered, reduces the brightness of automobile headlamp, the most both can ensure that driver had good regarding Open country, reduces again unnecessary power consumption.

In actual applications, the switch of long-and-short distant light and brightness flop can be arranged to corresponding light illumination mode, So that the work of Intelligent automobile lighting system.

Specifically, light illumination mode includes:

Energy saver mode, too high for the illuminance at current car headlight device (i.e. high beam or dipped headlights) Time, reduce the brightness of light fixture in current car headlight device.

Maintenance pattern, for when the illuminance of current car headlight device is suitable for, maintains current automotive lighting In device, the brightness of light fixture is constant.

Blast pattern, for when the illuminance of current car headlight device is too low, increases current automotive lighting The brightness of light fixture in device.

Safe mode, for when need not high beam illumination, closing the distance light in current car headlight device Lamp.

In actual applications, by the change of control signal regulation light illumination mode, it is achieved intelligent lighting operates, This intelligent lighting had both saved the energy, provided again the lighting experience of hommization for driver.

The embodiment of the present invention is by obtaining the gradation data of present image；Then according to the grey of present image According to, determine image information；Finally according to image information, control long-and-short distant light.This automotive lighting method is adopted By the method for image procossing, simplify collection data mode, and then the wiring reducing car headlight device is multiple Miscellaneous degree, alleviate car headlight device installation workload, more cost-effective, improve car headlight device The reliability of work.

Embodiment five

Embodiments provide a kind of car headlight device, it is adaptable to the long-and-short distant light controlling automobile sees Fig. 5, image information includes the average gray value specifying region of present image, and this device includes:

Acquisition module 201, for obtaining the gradation data of present image, this gradation data includes in image each The gray value of pixel.

Specifically, acquisition module 201 includes:

Charge Coupled Device (CCD) imageing sensor (i.e. CCD), for obtaining the gradation data of present image.

Specifically, it is assumed that gather the illuminance size in data area be distributed as a two-dimensional array g (i, j)；

According to the corresponding relation p of the gray value of each pixel in image Yu the illuminance of correspondence position, obtain ash Distribution f (i, the j)=p (g (i, j)) of angle value size.Corresponding concrete calculation processes is the most ripe technology, this In do not repeating.

Specifically, acquisition module 201 also includes:

Acquiring unit 211, for according to the cycle preset, reacquires view data.

In actual applications, by regulating the length of predetermined period, driver's seat can be adjusted more timely Interior illuminance, the driving for driver provides a good photoenvironment.

Determine module 202, the gradation data of the present image for obtaining according to acquisition module 201, determine figure As information, this image information includes the average gray value specifying region of present image.

Specifically, region of specifying here can be whole image-region, it is also possible to be the part in image Region.

In actual applications, in order to improve the processing speed of view data, carrying out image real time transfer calculating Before, some Image semantic classification measures can be used.

The most first the monoblock image comprising gray value data is divided into the image-region of fritter, then according to little The view data of block image-region determines the gradation of image meansigma methods in small images region, finally according to fritter figure As the gradation of image meansigma methods in region determines the gradation of image meansigma methods of monoblock image.

Further, it is also possible to use DSP technology to carry out the filtering of digital picture with the letter improving view data Make an uproar ratio, and then obtain more accurate view data.

Additionally, due to have certain dependency between adjacent image point, it is also possible to utilize between image adjacent image point Correlation coefficient extract bright territory in image and the border between dark territory, and then obtain more accurate view data.

Specifically, being calculated as follows of average gray value specifying region of image:

Assuming that the distribution f of the gray value size specifying region of image (i j) is the square of m × n (i.e. m row n row) Battle array, and the element of this array is: a_ij；Then

$f(i,j)=\left[\begin{array}{cccc}{a}_{11}& a_{12}& \mathrm{...}& a_{1n}\\ a_{21}& a_{22}& \mathrm{...}& a_{2n}\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ a_{m1}& a_{m2}& \mathrm{...}& a_{mn}\end{array}\right]$

Then from the foregoing, it will be observed that image specify region average gray value:

$Z_a=\frac{\underset{j=1}{\overset{n}{\Σ}}\underset{i=1}{\overset{m}{\Σ}}{a}_{ij}}{m\×n}$

Processing module 203, for determine that module 202 determines according to image information, control long-and-short distant light.

Specifically, processing module 203 includes: the first comparing unit 213 and the first processing unit 223.

Wherein, the first comparing unit 213 is for comparing the average gray value specifying region and the of present image One numerical value and the size of second value, this first numerical value and second value are both greater than 0.First processing unit 223 For when the average gray value specifying region of present image is more than the first numerical value, reducing the brightness of dipped headlights； The average gray value specifying region at present image less than or equal to the first numerical value and is more than or equal to the second number During value, the brightness maintaining current dipped headlights is constant；The average gray value specifying region at present image is less than During second value, increase the brightness of dipped headlights.

In actual applications, by than the average gray value specifying region of current relatively image and the first numerical value and The size of second value, whether the intensity of illumination that can specify car headlight device exceeds suitable scope, so Afterwards by the brightness of Intelligent automobile lighting system regulation light fixture so that the illuminance in driver's seat maintains In one applicable scope, the most both saved the energy, and one can have been provided for driver again and be suitable to eye Photoenvironment.

The embodiment of the present invention is by obtaining the gradation data of present image；Then according to the grey of present image According to, determine image information；Finally according to image information, control long-and-short distant light.This automotive lighting method is adopted By the method for image procossing, simplify collection data mode, and then the wiring reducing car headlight device is multiple Miscellaneous degree, alleviate car headlight device installation workload, more cost-effective, improve car headlight device The reliability of work.

Embodiment six

Embodiments provide a kind of car headlight device, it is adaptable to the long-and-short distant light controlling automobile sees Fig. 6, image information includes that present image is exhausted with the grey scale change of each pixel in the appointment region of a upper image To value sum, this device includes:

Acquisition module 301, for obtaining the gradation data of present image, this gradation data includes in image each The gray value of pixel.

Specifically, acquisition module 301 includes:

Charge Coupled Device (CCD) imageing sensor (i.e. CCD), for obtaining the gradation data of present image.

Specifically, it is assumed that gather the illuminance size in data area be distributed as a two-dimensional array g (i, j).

According to the corresponding relation p of the gray value of each pixel in image Yu the illuminance of correspondence position, obtain ash Distribution f (i, the j)=p (g (i, j)) of angle value size.Corresponding concrete calculation processes is the most ripe technology, this In do not repeating.

Specifically, acquisition module 301 also includes:

Acquiring unit 311, for according to the cycle preset, reacquires view data.

In actual applications, by regulating the length of predetermined period, driver's seat can be adjusted more timely Interior illuminance, the driving for driver provides a good photoenvironment.

Determine module 302, the gradation data of the present image for obtaining according to acquisition module 301, determine figure As information, this image information includes present image and the gray scale of each pixel in the appointment region of a upper image Change absolute value sum.

Specifically, region of formulating here can be whole image-region, it is also possible to be specific in image Region.Here a upper image can be two images that CCD absorbs continuously with the relation of present image.

In actual applications, in order to improve the processing speed of view data, carrying out image real time transfer calculating Before, some Image semantic classification measures can be used.

The most first the monoblock image comprising gray value data is divided into the image-region of fritter, then according to little The view data of block image-region determines the variation of image grayscale absolute value sum in small images region, last root Determine that the variation of image grayscale of monoblock image is absolute according to the variation of image grayscale absolute value sum in small images region Value sum.

Further, it is also possible to use DSP technology to carry out the filtering of digital picture with the letter improving view data Make an uproar ratio, and then obtain more accurate view data.

Additionally, due to have certain dependency between adjacent image point, it is also possible to utilize between image adjacent image point Correlation coefficient extract bright territory in image and the border between dark territory, and then obtain more accurate view data.

Specifically, the image of two adjacent moment is chosen, it is assumed that during t0 moment, the grey value profile of image represents For f_t0(i,j)；

In time arriving t1 moment after a while, the grey value profile of image is expressed as f_t1(i,j)；

So variation of image grayscale absolute value be σ f (i, j)=| f_t1(i,j)-f_t0(i,j)|；

Assuming that the distribution σ f of gray-value variation order of magnitude (i, j) is the matrix of m × n (i.e. m row n row), and The element of this array is: a_ij；Then

$\mathrm{\σ}f(i,j)=\left[\begin{array}{cccc}{a}_{11}& a_{12}& \mathrm{...}& a_{1n}\\ a_{21}& a_{22}& \mathrm{...}& a_{2n}\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ a_{m1}& a_{m2}& \mathrm{...}& a_{mn}\end{array}\right]$

So, from t0 to t1, variation of image grayscale absolute value sum is:

$X_a=\underset{j=1}{\overset{n}{\Σ}}\underset{i=1}{\overset{m}{\Σ}}{a}_{ij}$

Processing module 303, for determine that module 302 determines according to image information, control long-and-short distant light.

Specifically, processing module 303 includes the second comparing unit 313 and the second processing unit 323.

Wherein, the second comparing unit 313 is for comparing in the present image appointment region with a upper image each The grey scale change absolute value sum of pixel and the size of third value, this third value is more than 0.Second processes Unit 323 for present image with on an image appointment region in the grey scale change of each pixel absolute When value sum is more than third value, close high beam.

Under default situations, the use of dazzle light is by driver from main separation, and driver can be according to reality Border demand is adjusted to automatically turn on, and, the vehicle accident typically caused by high beam is mainly driven The person of sailing closes caused by high beam the most in good time.The closedown of high beam is controlled now by Intelligent automobile lighting system, Both can save unnecessary waste of energy, the traffic thing caused by unreasonable use high beam can have been reduced again Therefore generation.

The embodiment of the present invention is by obtaining the gradation data of present image；Then according to the grey of present image According to, determine image information；Finally according to image information, control long-and-short distant light.This automotive lighting method is adopted By the method for image procossing, simplify collection data mode, and then the wiring reducing car headlight device is multiple Miscellaneous degree, alleviate car headlight device installation workload, more cost-effective, improve car headlight device The reliability of work.

The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.

It should be understood that above-described embodiment provide car headlight device when carrying out automotive lighting, only with The division of above-mentioned each functional module is illustrated, in actual application, and can be as desired by above-mentioned merit Distribution can be completed by different functional modules, the internal structure of equipment will be divided into different functional modules, To complete all or part of function described above.It addition, the car headlight device that above-described embodiment provides Belonging to same design with automotive lighting embodiment of the method, it implements process and refers to embodiment of the method, here Repeat no more.

One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can be passed through Hardware completes, it is also possible to instructing relevant hardware by program and complete, described program can be stored in In a kind of computer-readable recording medium, storage medium mentioned above can be read only memory, disk or CD etc..

The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all the present invention's Within spirit and principle, any modification, equivalent substitution and improvement etc. made, should be included in the present invention's Within protection domain.

Claims (6)

1. an automotive lighting method, it is adaptable to control the long-and-short distant light of automobile, it is characterised in that described side Method includes:

Obtaining the gradation data of present image, described gradation data includes the gray value of each pixel in image；

According to the gradation data of described present image, determine that image information, described image information include described working as The grey scale change absolute value sum specifying each pixel in region of front image and a upper image or described work as The average gray value specifying region of front image；

According to described image information, control described long-and-short distant light；

Described image information includes the average gray value specifying region of described present image, described in described basis Image information, controls described long-and-short distant light and includes:

Relatively the average gray value specifying region of described present image and the first numerical value and second value is big Little, described first numerical value is more than described second value, and described first numerical value and described second value are both greater than 0；

If the average gray value specifying region of described present image is more than described first numerical value, then reduce dipped beam The brightness of lamp；

If the average gray value specifying region of described present image less than or equal to described first numerical value and is more than Or equal to described second value, then the brightness maintaining current dipped headlights is constant；

If the average gray value specifying region of described present image is less than described second value, then increase dipped beam The brightness of lamp；

Described present image information includes described present image and each pixel in the appointment region of a upper image Grey scale change absolute value sum, described according to described image information, control described long-and-short distant light and include:

Relatively described present image and the grey scale change absolute value of each pixel in the appointment region of a upper image Sum and the size of third value, described third value is more than 0；

If described present image and a upper image specify in region the grey scale change absolute value of each pixel it With more than described third value, then close high beam.

Method the most according to claim 1, it is characterised in that the grey of described acquisition present image According to including:

Charge Coupled Device (CCD) imageing sensor is used to obtain the gradation data of present image.

Method the most according to claim 1, it is characterised in that the grey of described acquisition present image According to including:

According to the default cycle, obtain the gradation data of image.

4. a car headlight device, it is adaptable to control the long-and-short distant light of automobile, it is characterised in that described dress Put and include:

Acquisition module, for obtaining the gradation data of present image, described gradation data includes in image each The gray value of pixel；

Determine module, the gradation data of the described present image for getting according to described acquisition module, really Determining image information, described image information includes described present image and each picture in the appointment region of a upper image The grey scale change absolute value sum of vegetarian refreshments or the average gray value specifying region of described present image；

Processing module, for according to the described described image information determining that module determines, controls described distance-light Lamp；

Described image information includes the average gray value specifying region of described present image, described processing module Including:

First comparing unit, for the average gray value specifying region and first number of relatively described present image Value and the size of second value, described first numerical value is more than described second value, and described first numerical value and institute State second value and be both greater than 0；

First processing unit, for specifying the average gray value in region more than described the at described present image During one numerical value, reduce the brightness of dipped headlights；

The average gray value specifying region at described present image less than or equal to described first numerical value and is more than Or during equal to described second value, the brightness maintaining current dipped headlights is constant；

When the average gray value specifying region of described present image is less than described second value, increase dipped beam The brightness of lamp；

Described present image information includes described present image and each pixel in the appointment region of a upper image Grey scale change absolute value sum, described processing module includes:

Second comparing unit, each pixel in the relatively described present image appointment region with a upper image The grey scale change absolute value sum of point and the size of third value, described third value is more than 0；

Second processing unit, for described present image with on an image appointment region in each pixel Grey scale change absolute value sum more than described third value time, close high beam.

Device the most according to claim 4, it is characterised in that described acquisition module includes:

Charge Coupled Device (CCD) imageing sensor, for obtaining the gradation data of present image.

Device the most according to claim 4, it is characterised in that described acquisition module includes:

Acquiring unit, for according to the cycle preset, obtaining the gradation data of image.