Simulation method for pixel headlight system

Abstract

This invention relates to a method for creating control for real pixel headlights, wherein the two-dimensional distribution of illuminance on surfaces of a scene that can be illuminated by pixel headlights can be controlled according to the characteristics of different regions of the illuminable surfaces of the scene. In this way, a method is provided that can automatically detect spatially selected regions related to light function and automatically change the light intensity of pixels involved in the spatially selected regions.

Description

Technical Field

[0001] The present invention relates to a simulation method for a pixel headlight system and, more particularly, a method for designing the light function of a real pixel headlight system having at least one real pixel headlight, wherein the two-dimensional distribution of illuminance of the surface of the scene available for pixel headlight illumination can be controlled according to the characteristics of different regions of the illuminable surface of the scene. Background Technology

[0002] The headlights currently used in the automotive industry are called pixel headlights, which have multiple individually controllable light sources. The overall light distribution of the light sources can be freely configured over a wide range through the interaction of all the light sources and can be adjusted within milliseconds. LED chips, which have a large number of individually controllable light spots, or pixels, are typically used as the light sources. Since each car is usually equipped with at least two headlights, a typical pixel headlight system usually has at least two pixel headlights, which are spaced apart from each other and form a common overall light distribution.

[0003] The term "illuminable surface" refers to the maximum surface that a pixel headlight can illuminate when all pixels are fully powered. The illuminable surface represents the boundary of light function because the two-dimensional distribution of illuminance cannot extend beyond the maximum illuminable surface. Therefore, adjustments to the total light distribution and thus the two-dimensional distribution of illuminance can only be made within the illuminable surface. Furthermore, the illuminable surface can also be limited by obstacles such as walls or large trees, as these restrict the effective range of illuminance.

[0004] This pixel headlight expands the traditional applications of motor vehicle headlights. Pixel headlights create the technological prerequisites for new lighting functions such as anti-glare high beams, marker lights, and / or symbol projection. Anti-glare high beams allow for continuous use of high beams without having to switch entirely to low beams in the presence of oncoming traffic. Based on individually controllable light sources, the light intensity of individual areas, such as the area around the driver's cab of oncoming vehicles, can be adjusted. Therefore, in an example application of anti-glare high beams, only the driver's cab of oncoming vehicles is obscured. The illuminated area outside the driver's cab remains illuminated. This significantly improves safety during nighttime driving and eliminates the need for manual switching between low and high beams.

[0005] However, it's not only possible to conceal individual areas, i.e., reduce light intensity, but also to brighten individual areas by increasing light intensity. Thus, for example, lines and / or symbols can be projected onto the road, so that warning symbols and / or road signs detected on the roadside are projected as projections into the illuminated area and are within the driver's direct field of vision. Furthermore, auxiliary lines can be projected onto the road; these lines can, for example, indicate vehicle width or serve as distance warnings, allowing for better estimation of vehicle width relative to narrowing lanes or enabling dynamic warning functions.

[0006] To achieve these lighting functions in a controlled manner, it is advantageous to precisely control each individual light source based on driving conditions, the vehicle's own status, and environmental influences. Therefore, the calculation of the brightness of each individual pixel should be highly dynamic, and the continuous recalculation of the light distribution should be performed at a high clock frequency to enable direct response to changes in external influences.

[0007] Integrating the lighting function of pixel headlights into road traffic requires extensive and complex preliminary calculations and meticulous programming of the headlight control software to ensure reliable system operation. Particularly regarding the anti-glare high beam function, continuous monitoring and accurate assessment of real-world conditions are essential for reliable control of individual pixels. In the case of anti-glare high beams, erroneous pixel control poses a significant risk of traffic accidents.

[0008] Therefore, calculating the light distribution of all pixels is a very complex challenge. It is therefore not uncommon to conduct real-world night driving simulations beforehand so that these simulations can be used as the basis for calculating the light distribution. However, real-world night driving is not only dangerous but also time-consuming and expensive. Interactive night driving simulations can avoid these drawbacks.

[0009] Specifically, for example, Synopsys' "LucidDrive" simulation environment within the "LucidShape" software package enables the simulation of pixel headlight systems using the "AFS Masking PixelLight Feature." It renders the total light distribution of all fully powered pixels. Individual areas can then be masked from this total light distribution. In an example of an anti-glare high beam application, the area of ​​the oncoming driver's cab would be masked. However, a drawback of this simulation environment is that the calculations are independent of the actual pixel headlight conditions and therefore do not consider feasible headlight-specific implementations.

[0010] Furthermore, Hella KGaA's software "ALiSiA" demonstrates another solution for designing pixel-based headlight functionality based on simulation. To visualize the light distribution of two headlights, the light distribution of each headlight is projected onto a measurement surface located vertically in front of the respective headlight. This light distribution can be influenced by adjustable parameters. The projection of the total light distribution onto the vertical measurement surface is superimposed on a camera image of actual nighttime driving. By changing the adjustable parameters, the projected total light distribution can be adjusted until it appropriately appears in the actual nighttime driving image, conforming to the desired light function. However, superimposing the projection of the total light distribution onto the actual nighttime driving image introduces unreliability in the accuracy of the total light distribution within the camera environment. On one hand, this is because the total light distribution is only projected onto the vertical measurement surface located in front of the headlights and therefore cannot display a true light impression. On the other hand, the display of the total light distribution cannot account for environmental influences such as reflective surfaces or distance-related attenuation. Therefore, the software "ALiSiA" can only visually approximate the true total light distribution.

[0011] The methods known in the prior art do not yet allow for the consideration of external environmental effects during nighttime driving, such as reflective surfaces or distance-related attenuation, when calculating the total light distribution and to visually display the total light distribution in a near-realistic manner. Summary of the Invention

[0012] Therefore, the objective of this invention is to provide a method for designing the light function of a realistic pixel headlight system, which allows for the automatic control of the two-dimensional distribution of illuminance on a surface that can be illuminated by the pixel headlights of the pixel headlight system, based on the characteristics of different areas of an illuminable surface, particularly based on dynamic oncoming traffic flow, and for this purpose, to closely simulate freely selectable driving scenarios, such that the calculation of the total light distribution of the pixel headlight system can be performed while taking into account vehicle-specific and / or environment-specific effects.

[0013] The task is solved by the technical solution of the present invention.

[0014] Therefore, according to the present invention, a method for designing the light function of a true pixel headlight system having at least one true pixel headlight is provided, the method comprising the following steps:

[0015] a) Define a virtual driving scenario, which includes roads and road environment, especially vegetation, curbs, road signs, road markings, traffic participants, and / or weather-related features.

[0016] b) Define a virtual vehicle having virtual pixel headlights corresponding to real pixel headlights and a virtual environment sensor for detecting at least a partial area of ​​a surface that can be illuminated by the virtual pixel headlights.

[0017] c) Simulate nighttime driving of a virtual vehicle in a defined virtual driving scenario with virtual pixel headlights on by simulating continuous virtual scenes, wherein each virtual scene represents a static image from a virtual driving scenario simulated using a virtual vehicle.

[0018] d) In at least one virtual scene, virtual environment data is detected by a virtual environment sensor in a portion of a surface that can be illuminated by a virtual pixel headlight.

[0019] e) Analyze the detected virtual environment data to automatically determine at least one spatial selection region in the virtual scene, wherein the spatial selection region indicates an area in which illuminance changes are required based on predefined lighting rules relating to the characteristics of different areas of the scene's illuminable surfaces.

[0020] f) Determine the pixel group involved in the virtual pixel headlight based on the determined spatial selection area, and when the lighting specification stipulates a higher illuminance in the spatial selection area, change the individual light intensity of each involved pixel in the determined pixel group of the virtual pixel headlight by a corresponding change amount to the higher light intensity, or when the lighting specification stipulates a lower illuminance in the spatial selection area, change the individual light intensity of each involved pixel in the determined pixel group of the virtual pixel headlight by a corresponding change amount to the lower light intensity.

[0021] g) In the virtual scene, the virtual environment data is re-detected by the virtual environment sensor in a portion of the surface that can be illuminated by the virtual pixel headlights and can be detected by the virtual environment sensor.

[0022] h) Analyze the re-detected virtual environment data to determine whether the light intensity achieved in the spatially selected area of ​​the virtual scene meets the lighting requirements.

[0023] i) If the implemented lighting meets the lighting specifications, generate and store value pairs for the control to be created, the value pairs being formed by pixel groups and the corresponding changes in each pixel of that group, or

[0024] j) Determine a new pixel group for the virtual pixel headlight based on a determined spatial selection area, the new pixel group differing from at least one pixel in a previously determined group, and / or, when the lighting specification defines a higher illuminance in the spatial selection area, change the individual light intensity of each pixel of the virtual pixel headlight by a corresponding amount of change to a higher light intensity, or when the lighting specification defines a lower illuminance in the spatial selection area, change the individual light intensity of each pixel of the virtual pixel headlight by a corresponding amount of change to a lower light intensity, wherein at least one amount of change for a pixel differs from the amount of change for said pixel in the previously determined group, and repeat steps g), h), and i) or j).

[0025] If we say here that the spatial selection area is automatically determined, it means that an area in the virtual scene is automatically identified where the light intensity of the total light distribution should be enhanced or weakened according to the light function. This automatic determination is performed without intervention from human users or developers. This automatic determination is based solely on data available from the simulation of virtual nighttime driving. This primarily includes data from virtual environment cameras. Virtual environment cameras scan the environment of the driving scenario and thus can provide data about the environment. This can include, for example, oncoming traffic and oncoming headlights located within the detection area of ​​the environment camera, as well as roadside vegetation or road conditions and road signs. In particular, wet road surfaces and road signs can significantly affect the total light distribution because they often have reflective surfaces. Therefore, the spatial selection area can be determined not only considering oncoming traffic but also the environment and its impact on the total light distribution of the pixel headlight system.

[0026] If a spatial selection region is detected, the involved pixel group is determined. This pixel group can cause a change in the light distribution within the spatial selection region by altering the light intensity of the involved pixels. By increasing or decreasing the light intensity of the involved pixels, the light intensity is adjusted by a corresponding amount, resulting in stronger or weaker light intensities.

[0027] After changing the light intensity of the involved pixels, the virtual environment data is re-examined and analyzed to determine whether the lighting functionality implemented in the spatially selected area of ​​the virtual scene meets the lighting requirements. If so, value pairs for the control to be created are formed from the pixel group and the corresponding changes in each pixel within that group. If the implemented lighting functionality does not meet the lighting requirements, a new pixel group is determined, which differs from the previously determined group by at least one pixel. The light intensity of the involved pixels in the new group is then changed, and the lighting functionality is checked again to ensure it meets the lighting requirements.

[0028] Therefore, this invention can automatically detect a spatial selection area and automatically adjust the light intensity of each involved pixel based on multiple different selectable light functions to achieve the desired light function. The basis for determining the spatial selection area and adjusting the light intensity is a virtual driving scenario. Because this driving scenario is predefined and simulated, light functions for various different driving scenarios can be visually displayed.

[0029] A preferred extension of the invention involves providing value pairs consisting of pixel groups and corresponding changes as training data. Therefore, a neural network can be trained, for example. Consequently, the evaluation of the neural network is performed efficiently and cost-effectively.

[0030] Furthermore, according to a preferred extension of the invention, the headlights of the actual pixels are controlled by storing value pairs formed by pixel groups and the corresponding changes of each pixel in that group, integrating the stored value pairs on the controller, and calling the stored value pairs. Moreover, without exceeding the storage capacity of the graphics chip, the value pairs can be stored on the graphics chip of the controller, thus ensuring highly dynamic control of a large number of pixels.

[0031] According to a preferred extension of the invention, spatial orientation in the virtual scene is based on a global 3D coordinate system. The global coordinates are transformed into a headlight-specific coordinate system. This ensures that basic calculations are performed independently of the headlights, and that the global coordinates are only transformed into the headlight coordinate system in subsequent steps. Therefore, the characteristics of the pixel-independent headlight system are simulated, allowing for the implementation of various different pixel-independent headlight systems through subsequent calculations.

[0032] This invention enables not only the detection and analysis of environmental data but also the detection and analysis of vehicle data. In this regard, according to a preferred extension of the invention, the virtual vehicle has at least one virtual environment camera and / or at least one virtual brightness sensor as an environment sensor and / or at least one virtual vehicle sensor for detecting vehicle data, particularly acceleration and / or steering angle and / or yaw rate. The additional brightness sensor can detect the light distribution in the environment, for example, affected by light reflection or shadows, and take this into account when determining the relevant pixel groups to change the light intensity. For example, if, based on possible light reflection, the light intensity in the desired area is higher than the light intensity emitted solely from the pixel headlight system, then the light intensity of the pixels involved in the selected light function must be increased to a reduced degree.

[0033] Preferably, this method has the following additional method steps:

[0034] - Detect virtual vehicle data using at least one virtual vehicle sensor of the virtual motor vehicle.

[0035] - Analyze the detected vehicle data to determine the second pixel group of the virtual pixel headlight based on the detected vehicle data;

[0036] - When the lighting regulations specify a higher illuminance in a spatially selected area, taking into account the detected vehicle data, the individual light intensity of each pixel in the determined second pixel group of the virtual pixel headlight is changed by a corresponding amount towards a stronger light intensity; or when the lighting regulations specify a lower illuminance in a spatially selected area, taking into account the detected vehicle data, the individual light intensity of each pixel in the determined second pixel group of the virtual pixel headlight is changed by a corresponding amount towards a weaker light intensity.

[0037] Generally, this means determining the second pixel group involved in the light function and taking into account the detected vehicle data. Vehicle steering behavior and speed can affect the light function. For example, in the case of anti-glare high beams, the area to be hidden can be expanded or reduced according to vehicle speed. Furthermore, the projection of guide lines and / or symbols can be related to turning, allowing guide lines and / or symbols to be projected onto the turning path.

[0038] Furthermore, it is preferably specified that the second pixel group is a subset of the first pixel group. This ensures that a pixel can be affected by a specific light distribution based on both environmental data and vehicle data, and that the light intensity adjustment of the pixels involved in the subset is not assigned two different amounts of variation, but rather the amount of variation takes both effects equally into account.

[0039] A preferred extension of the invention further involves timing the sequential arrangement of the virtual scenes such that the number of virtual scenes per second is predetermined, and the number of repetitions of step j) corresponds either to the number of repetitions required until the achieved lighting meets the lighting specifications, or to the number of repetitions achievable within the timing range until the next sequence of virtual scenes is analyzed, depending on which state occurs first in time. This ensures that the repetition of step j) is finite. If a light distribution that meets the lighting specifications is not achieved for a virtual scene, step j) will not be repeated indefinitely, but only until the next sequence of virtual scenes is analyzed.

[0040] If we say here that the light distribution meets the lighting specifications, it means that the total light distribution of the pixel headlight system corresponds to the desired total light distribution of the lighting specifications within a certain permissible error range or a certain allowable deviation range. Therefore, this does not mean that the total light distribution must be exactly the same. More precisely, it means that the total light distribution of the lighting specifications has a tolerance range. It is necessary to be able to bring the total light distribution of the pixel headlight system into the tolerance range of the lighting specifications so that the total light distribution of the pixel headlight system "meets" the total light distribution of the lighting specifications.

[0041] According to a preferred extension of the invention, the lighting specifications are determined by a two-dimensional distribution of the desired illuminance, which depends on the desired light function, particularly the projection of anti-glare high beams and / or lines and / or symbols onto the road. Therefore, different light functions determine correspondingly different desired two-dimensional distributions of pixel illuminance, also known as total light distribution. The total light distribution sought by anti-glare high beams differs from the projection of auxiliary lines onto the road. Depending on the light function, some areas of the total light distribution need to be brightened or darkened; that is, the light intensity of some pixels needs to be enhanced or reduced.

[0042] In principle, the individual light intensity of a single pixel can be changed in various ways. However, according to a preferred extension of the present invention, the individual light intensity is changed by a corresponding amount using a dimming factor d. If the light intensity is to be reduced, then d < 1, and if the light intensity is to be increased, then d > 1. The dimming factor is then multiplied by the individual light intensity of the corresponding pixel. A new set of dimming values ​​for the light intensity of the pixels in question is calculated using the dimming factor. Attached Figure Description

[0043] The invention will now be described in detail with reference to the accompanying drawings, using preferred embodiments of the invention. The drawings are as follows:

[0044] Figure 1 The illustration shows a virtual scene depicting a simulated driving scenario;

[0045] Figure 2a The illustration schematically depicts a virtual scene of a simulated driving scenario from the perspective of a vehicle driver, with a visualized two-dimensional total light distribution.

[0046] Figure 2b The illustration schematically depicts a virtual scene of a simulated driving scenario from the perspective of a vehicle driver, featuring a visually altered two-dimensional total light distribution.

[0047] Figure 3a The schematic diagram illustrates the visualized two-dimensional total light distribution;

[0048] Figure 3b The arrangement of the pixel array is shown;

[0049] Figure 4a This schematically illustrates another visualization of the total two-dimensional light distribution;

[0050] Figure 4b Show Figure 3b The arrangement of the pixel array, with each pixel having a changing electrical value. Detailed Implementation

[0051] Depend on Figure 1An example of a virtual driving scenario 3 is illustrated schematically. To simulate this driving scenario, a road 4, road environment 5, vegetation on the side 6, curbstone 7, road sign 8, road markings 9, and other traffic participants 10 are defined. However, defining a virtual driving scenario not only determines the location of the corresponding features but also their properties, such as the reflectivity of the road sign. Each defined feature can affect the subsequent calculation of light distribution because they can, for example, absorb or reflect light, and this property affects the total light distribution. Therefore, it is important to carefully define the virtual driving scenario at the outset.

[0052] exist Figure 2a The diagram schematically illustrates a virtual scene 14 of a previously defined virtual driving scenario 3 from the perspective of the driver of the virtual vehicle 11. The virtual vehicle 11 is traveling in the right lane of road 4, defined by road markings 9. Another traffic participant 10 is approaching the virtual vehicle 11 from the opposite lane and thus represents oncoming traffic. The virtual vehicle 11 is equipped with two virtual pixel headlights 12 and a virtual environment sensor 13, which is implemented in the form of a virtual environment camera 18 and a virtual brightness sensor 19. In addition, the vehicle 11 has a virtual vehicle sensor 20.

[0053] exist Figure 2a These sensors are positioned on the motor cover. This is generally not realistic. More precisely, sensors 18, 19, and 20 could be mounted on the windshield or other locations on the vehicle 11, depending on their function. However, the positions of sensors 18, 19, and 20 are not important to this invention. Therefore, for simplicity, they are shown on the motor cover. Figure 2a and 2b The virtual pixel headlight 12 is turned on and the high beam is activated, thus revealing a two-dimensional distribution of illuminance 1 over the defined illuminated surface 2. It can be seen that, without changing the light intensity of each pixel 21, the two-dimensional distribution of illuminance 1 will include the driver of an oncoming traffic participant 10 and thus dazzle that driver. Therefore, a spatial selection area 15 is automatically determined. Within this spatial selection area 15, the light intensity of the involved pixels 17 must be adjusted so that the two-dimensional distribution of illuminance 1 no longer covers the spatial selection area 15 and no longer dazzles the driver of an oncoming vehicle.

[0054] This situation is in Figure 2b The diagram is schematically shown. The light intensity of the pixel 17 involved and therefore the two-dimensional distribution of illuminance 1 have been changed. It can be seen that the spatial selection area 15 is no longer covered by the two-dimensional distribution of illuminance 1. Oncoming traffic participants 10 are therefore not glared. However, the remaining illuminable surfaces 2 continue to be fully illuminated because only the light intensity of the pixel 17 involved in the spatial selection area 15 has been changed.

[0055] Figure 3a and 3b Pixel 21 in pixel array 21 is schematically shown. Figure 3a )and Figure 2a The two-dimensional distribution of illuminance 1 in virtual scene 14 of virtual driving scenario 3 ( Figure 3b The relationship between the pixels is as follows: The pixel headlights are turned on and all pixels 21 of the pixel array 22 are fully energized. Any influence from the environment or vehicle status is disregarded. The two-dimensional distribution of illuminance 1 is similar to the light distribution of a conventional headlight without a large number of pixels 21 as a light source.

[0056] The differences between pixel headlights and traditional headlights, and the key points of this invention are as follows: Figure 4a and 4b As shown in the example. Figure 4a and 4b Pixel 21 in pixel array 21 is schematically shown. Figure 4a )and Figure 2b The two-dimensional distribution of illuminance 1 in virtual scene 14 of virtual driving scenario 3 ( Figure 4b The relationship between the virtual environment sensors 13, 18, 19 and the virtual vehicle sensor 20 is determined automatically. The spatial selection region 15 is then determined. A group 16 of pixels 17 related to the spatial selection region 15 for all pixels 21 of the pixel array 22 is then determined. The light intensity of the involved pixels 17 is changed according to the light function. In this application example, the light function is an anti-glare high beam.

[0057] Therefore, the task of the light function is to adjust the two-dimensional distribution of illuminance 1 so that drivers of oncoming traffic covered by the spatially selected area 15 are not glared, by reducing the light intensity within the spatially selected area 15. Figure 4a As can be seen, pixels numbered 41 to 45 and 61 to 65 belong to group 16 of the involved pixels 17. The light intensity of these pixels 17 is reduced by adjusting the electrical charge value of each individual pixel 17 in the relevant group 16. The resulting two-dimensional illuminance distribution is shown in... Figure 4b This is schematically illustrated. It can be seen that the spatial selection area 15 is no longer covered by the two-dimensional distribution of illuminance 1. Because the spatial selection area 15 accurately describes the area where oncoming traffic participants 10 are located, as... Figure 2a and Figure 2b As shown, this ensures that the high beam of the pixel headlight system does not dazzle drivers of oncoming vehicles without fully switching to low beam.

[0058] List of reference numerals

[0059] Two-dimensional distribution of illuminance

[0060] 2 Illuminable surfaces

[0061] 3. Virtual Driving Scenarios

[0062] 4 Roads

[0063] 5. Road Environment

[0064] 6 kinds of plants

[0065] 7. Curbstones

[0066] 8 Road signs

[0067] 9. Road markings

[0068] 10. Traffic Participants

[0069] 11 Virtual Motor Vehicles

[0070] 12 Virtual Pixel Headlights

[0071] 13 Virtual Environment Sensors

[0072] 14 Virtual Scenes

[0073] 15 Spatial Selection Area

[0074] 16 groups of pixels involved

[0075] 17 Pixels

[0076] 18 Virtual Environment Cameras

[0077] 19 Virtual Brightness Sensor

[0078] 20 Virtual Vehicle Sensors

[0079] 21 pixels

[0080] 22-pixel array

Claims

1. A method for designing the light function of a true pixel headlight system having at least one true pixel headlight, wherein, The two-dimensional distribution of illuminance (1) of the surface (2) available for illumination by pixel headlights in a scene can be controlled according to the characteristics of different areas of the illuminable surface (2) of the scene, and the method includes the following method steps: a) Define a virtual driving scenario (3), which includes a road (4) and a road environment (5). b) Define a virtual vehicle (11) having a virtual pixel headlight (12) corresponding to a real pixel headlight and a virtual environment sensor (13) for detecting at least a partial area of ​​a surface (2) that can be illuminated by the virtual pixel headlight (12). c) Simulate nighttime driving of a virtual motor vehicle (11) in a defined virtual driving scenario (3) with virtual pixel headlights (12) on by simulating consecutive virtual scenes (14), wherein each virtual scene (14) represents a static image of virtual driving simulated using the virtual motor vehicle (11) in the defined virtual driving scenario (3). d) In at least one of the virtual scenes (14), virtual environment data is detected by the virtual environment sensor (13) in a portion of the surface (2) that can be illuminated by the virtual pixel headlight (12) and detectable by the virtual environment sensor (13). e) Analyze the detected virtual environment data to automatically determine at least one spatial selection region (15) in the virtual scene (14), wherein the spatial selection region (15) indicates an area in which illuminance needs to be changed based on predefined lighting rules relating to different areas of the illuminable surface (2) of the scene. f) Determine the pixel group (16) of the virtual pixel headlight based on the determined spatial selection area (15), and when the lighting specification specifies a higher illuminance in the spatial selection area, change the individual light intensity of each involved pixel (17) in the determined pixel group (16) of the virtual pixel headlight by a corresponding change amount to a stronger light intensity, or when the lighting specification specifies a lower illuminance in the spatial selection area, change the individual light intensity of each involved pixel in the determined pixel group of the virtual pixel headlight by a corresponding change amount to a weaker light intensity. g) In the virtual scene (14), the virtual environment data is re-detected by the virtual environment sensor in a portion of the surface (2) that can be illuminated by the virtual pixel headlight (12) and detected by the virtual environment sensor (13). h) Analyze the re-detected virtual environment data to determine whether the light intensity achieved in the spatially selected area (15) within the virtual scene (14) meets the lighting requirements. i) If the implemented lighting meets the lighting specifications, generate and store value pairs for the control to be created, the value pairs being formed by the corresponding changes in pixel group (16) and individual pixels (17) of that pixel group (16), or j) Determine a new pixel group of the virtual pixel headlight (12) based on a determined spatial selection area (15), which is different from at least one pixel (17) of the previously determined pixel group (16), and / or change the individual light intensity of each pixel (17) of the virtual pixel headlight (12) to a higher light intensity when the illumination specification specifies a higher illuminance in the spatial selection area (15), or change the individual light intensity of each pixel of the virtual pixel headlight to a lower light intensity when the illumination specification specifies a lower illuminance in the spatial selection area (15), wherein at least one change of the pixel is different from the change of the pixel (17) in the previously determined group, and repeat steps g), h) and i) or j).

2. The method according to claim 1, wherein, Value pairs consisting of pixel groups (16) and corresponding changes are provided as training data for the neural network.

3. The method according to claim 1 or 2, wherein, Spatial orientation in the virtual scene (14) is based on a global 3D coordinate system and the global coordinates are transformed into a headlight-specific coordinate system.

4. The method according to claim 1 or 2, wherein, The virtual vehicle (11) has at least one virtual environment camera (18) and / or at least one virtual brightness sensor (19) as an environment sensor (13) and / or at least one virtual vehicle sensor (20) for detecting vehicle data.

5. The method according to claim 1 or 2, wherein the method comprises additional method steps: - Virtual vehicle data is detected by at least one virtual vehicle sensor (20) of the virtual vehicle (11). - Analyze the detected vehicle data to determine the second pixel group of the virtual pixel headlight based on the detected vehicle data; and - When the lighting regulations specify a higher illuminance in the spatial selection area (15) taking into account the detected vehicle data, the individual light intensity of each pixel in the determined second pixel group of the virtual pixel headlight is changed by a corresponding amount to the stronger light intensity; or when the lighting regulations specify a lower illuminance in the spatial selection area (15) taking into account the detected vehicle data, the individual light intensity of each pixel in the determined second pixel group of the virtual pixel headlight is changed by a corresponding amount to the weaker light intensity.

6. The method according to claim 5, wherein, The second pixel group is a subset of the first pixel group (16).

7. The method according to claim 1 or 2, wherein, The order of the virtual scenes (14) is timed such that the number of virtual scenes (14) per second is predetermined, and the number of repetitions of step j) corresponds either to the number of repetitions required until the achieved lighting meets the lighting specifications, or to the number of repetitions that can be achieved in time until the next order of virtual scenes (14) is analyzed, depending on which state occurs first in time.

8. The method according to claim 1 or 2, wherein, The individual light intensity is changed by the corresponding amount of the dimming factor d. If the light intensity is to be reduced, then d < 1, and if the light intensity is to be increased, then d > 1. The dimming factor is multiplied by the individual light intensity of the corresponding pixel (17).

9. The method according to claim 1 or 2, wherein, The real pixel headlights are controlled by storing value pairs formed by the corresponding changes of pixel group (16) and individual pixels (17) of pixel group (16) and integrating the stored value pairs on the controller and by calling the stored value pairs.

10. The method according to claim 1 or 2, wherein, The lighting specifications are determined by a desired two-dimensional distribution of illuminance (1), which depends on the desired light function.

11. The method according to claim 1 or 2, wherein, The road environment (5) includes vegetation (6), curbs (7), road signs (8), road markings (9), traffic participants (10), and / or weather-related features.

12. The method according to claim 4, wherein, The vehicle data includes acceleration and / or steering angle and / or yaw rate.

13. The method according to claim 10, wherein, This two-dimensional distribution depends on the desired anti-glare high beams and / or the projection of lines and / or symbols on the road.

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