Car lamp light distribution method, device, equipment, storage medium and product

Abstract

The invention discloses a vehicle lamp light distribution method, device and equipment, a storage medium and a product, and relates to the technical field of optical design. According to the method, the simulation light distribution model among the distance information, the angle information, the coordinate position of the target measurement point, the luminous flux and the light distribution result is constructed in advance, so that compared with a traditional vehicle lamp design method which needs to depend on an actual production sample for verification; a relatively accurate light distribution result can be quickly obtained only by designing relevant parameters by a worker and inputting the relevant parameters into the simulation light distribution model, and an actual production test does not need to be carried out on the designed vehicle lamp, so that the design and test cost is reduced; and meanwhile, the worker can quickly test and gradually seek an optimal car lamp design method with lower time and money cost, so that the light distribution efficiency of the car lamp is improved.

Description

Technical Field

[0001] The present application relates to the field of optical design technology, and in particular to a method, device, equipment, storage medium and product for light distribution of vehicle lights. Background Art

[0002] As vehicle lighting designs become increasingly complex and development schedules accelerate, more efficient optical designs are needed to better cope with rapid development. Currently, optical design in vehicle lighting often relies solely on optical simulation. However, for complex optical surfaces and structures, the computational effort required for simulation increases exponentially, consuming significant computational time. Simulation methods, however, are time-consuming and often only ensure that the final solution's performance meets the target. Verifying the optimal solution requires extensive computational time, leading to wasted light-emitting diodes (LEDs) and cost.

[0003] Therefore, how to design a lighting solution for vehicle lights more quickly and at a lower cost is an urgent problem that needs to be solved. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment, storage medium and product for light distribution of vehicle lights, aiming to solve the technical problem of how to design light distribution solutions for vehicle lights more quickly and at a lower cost.

[0005] To achieve the above objectives, the present application proposes a method for distributing light to a headlight, the method comprising: For each subgrid in a light distribution plane of the vehicle lamp under test, corresponding distance information and angle information are obtained; wherein the light distribution plane includes multiple subgrids, the distance information includes the distance between the center point of each subgrid and a target light-emitting unit, and the angle information includes the angle between each subgrid and each plane in the light distribution plane coordinate system, and the target light-emitting unit is one of the multiple light-emitting units of the vehicle lamp under test; Obtaining a coordinate position of a target measurement point in a measurement plane in a measurement plane coordinate system; wherein the measurement plane includes a plurality of measurement points; The distance information, angle information, target coordinate position and luminous flux of the target light-emitting unit are input into a pre-trained simulation light distribution model to obtain the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit; wherein, the simulation light distribution model is trained based on a sample data set, and the sample data set includes the distance information and angle information of the sample sub-grid in the sample light distribution plane, the coordinate position corresponding to the sample measurement point in the sample measurement plane coordinate system, the luminous flux of the sample LED and the actual light distribution value at the sample measurement point.

[0006] In some embodiments, after inputting the distance information, angle information, target coordinate position, and luminous flux of the target light-emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the subgrid at the target measurement point under the illumination of the target light-emitting unit, the vehicle light distribution method further includes: The sum of the light distribution values corresponding to each of the sub-grids at the target measurement point is determined as the total light distribution value of the target light-emitting unit at the target measurement point.

[0007] In some embodiments, after determining the sum of the light distribution values corresponding to each of the sub-grids at the target measurement point as the total light distribution value of the target light-emitting unit at the target measurement point, the vehicle light distribution method further includes: For each of the light-emitting units of the vehicle lamp to be tested, calculating the corresponding total light distribution value at the target measurement point; The sum of the total light distribution values of the light-emitting units at the target measurement point is determined as the light distribution result of the vehicle lamp to be tested at the target measurement point.

[0008] In some embodiments, after determining the sum of the total light distribution values of the light-emitting units at the target measurement point as the light distribution result of the vehicle lamp to be tested at the target measurement point, the vehicle lamp light distribution method further includes: Based on the corresponding light distribution results at each measurement point, the number of subgrids and / or light-emitting units of the vehicle lamp to be tested is adjusted, and the step of obtaining corresponding distance information and angle information for each subgrid in the light distribution plane of the vehicle lamp to be tested is re-executed until the corresponding light distribution results at each measurement point and the number of light-emitting units of the vehicle lamp to be tested meet the preset light distribution requirements.

[0009] In some embodiments, the preset light distribution requirement is to minimize the number of light-emitting units on the basis that the light distribution result reaches a specified light distribution value.

[0010] In some embodiments, the simulated light distribution model is a RBF neural network or a Kriging neural network.

[0011] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle light distribution device, which includes: a data acquisition module, configured to acquire corresponding distance information and angle information for each subgrid in a light distribution plane of the vehicle lamp under test; wherein the light distribution plane includes multiple subgrids, the distance information includes the distance between the center point of each subgrid and a target light-emitting unit, and the angle information includes the angle between each subgrid and each plane in a light distribution plane coordinate system, wherein the target light-emitting unit is one of the multiple light-emitting units of the vehicle lamp under test; A coordinate acquisition module, configured to acquire the coordinate position of a target measurement point in a measurement plane in a measurement plane coordinate system; wherein the measurement plane includes a plurality of measurement points; The result acquisition module is used to input the distance information, angle information, target coordinate position and luminous flux of the target light-emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit; wherein the simulation light distribution model is trained based on a sample data set, and the sample data set includes the distance information and angle information of the sample sub-grid in the sample light distribution plane, the coordinate position corresponding to the sample measurement point in the sample measurement plane coordinate system, the luminous flux of the sample LED and the actual light distribution value at the sample measurement point.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle light distribution device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle light distribution method described above.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle light distribution method described above are implemented.

[0014] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the vehicle light distribution method as described above are implemented.

[0015] One or more technical solutions proposed in this application have at least the following technical effects: By pre-building a simulation light distribution model based on distance information, angle information, the coordinate position of the target measurement point, luminous flux, and light distribution results, compared to traditional headlight design methods that rely on actual production samples for verification, staff only need to design relevant parameters and input the simulation light distribution model to quickly obtain relatively accurate light distribution results. There is no need to conduct actual production tests on the designed headlights, which reduces the cost of design and testing. At the same time, staff can also conduct rapid experiments and gradually seek the best headlight design method at a lower cost in time and money, thereby improving the efficiency of headlight light distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 A schematic diagram of a process for distributing light to a vehicle lamp according to an embodiment of the present application is shown; Figure 2 A schematic structural diagram of a light distribution plane provided by an exemplary embodiment of the present application is shown; Figure 3 A schematic diagram of a measurement plane provided by an exemplary embodiment of the present application is shown; Figure 4 A schematic structural diagram of a vehicle lamp light distribution device according to an embodiment of the present application is shown; Figure 5 A schematic structural diagram of a vehicle light distribution device provided in one embodiment of the present application is shown.

[0019] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0021] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0022] The main solution of the embodiment of the present application is: for each sub-grid in the light distribution plane of the vehicle lamp to be tested, obtain corresponding distance information and angle information; wherein, the light distribution plane includes multiple sub-grids, the distance information includes the distance between the center point of the sub-grid and the target light-emitting unit, and the angle information includes the angle between the sub-grid and each plane in the light distribution plane coordinate system, and the target light-emitting unit is one of the multiple light-emitting units of the vehicle lamp to be tested; obtain the coordinate position of the target measurement point in the measurement plane coordinate system; wherein, the measurement plane includes multiple measurement points; input the distance information, angle information, target coordinate position and luminous flux of the target light-emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit; wherein, the target coordinate position is the coordinate position of the target measurement point in the measurement plane in the measurement plane coordinate system; the simulation light distribution model is trained based on a sample data set, and the sample data set includes the distance information and angle information of the sample sub-grid in the sample light distribution plane, and the coordinate position corresponding to the sample measurement point in the sample measurement plane.

[0023] As vehicle lighting designs become increasingly complex and development schedules accelerate, more efficient optical designs are needed to better cope with rapid development. Currently, optical design in vehicle lighting often relies solely on optical simulation. However, for complex optical surfaces and structures, the computational effort required for simulation increases exponentially, consuming significant computational time. Simulation methods, however, are time-consuming and often only ensure that the final solution's performance meets the target. Verifying the optimal solution requires extensive computational time, leading to wasted light-emitting diodes (LEDs) and cost.

[0024] In summary, how to design a lighting distribution solution for vehicle lights more quickly and at a lower cost is an urgent problem that needs to be solved.

[0025] Based on this, the present application provides a solution. By constructing a simulation light distribution model, the simulation light distribution model is used to perform approximate calculations on the simulation process, and then a rapid solution analysis is performed, which can greatly improve the calculation speed, facilitate large-scale vehicle light optical distribution design, and effectively improve efficiency and reduce costs.

[0026] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, mobile phone, etc., or a headlight distribution device capable of performing the above functions. The following uses the headlight distribution device as an example to illustrate this embodiment and the following embodiments.

[0027] Reference Figure 1 , Figure 1 The flowchart of the vehicle light distribution method provided by an embodiment of the present application is shown. The vehicle light distribution method can be applied to a vehicle light distribution device, and includes the following steps S110 to S140: Step S110 : acquiring corresponding distance information and angle information for each subgrid in the light distribution plane of the vehicle lamp to be tested.

[0028] Headlights are a general term for a vehicle's lighting system, including headlights, taillights, fog lights, and other types. Their primary function is to illuminate the vehicle, ensuring the driver can clearly see the road at night or in low-visibility conditions. They also provide other road users with information about the vehicle's location and driving status. The headlights to be tested can be any of these, and this embodiment does not limit this.

[0029] When a vehicle's headlights are turned on, light must be evenly distributed from the headlights toward the front. Because LEDs are fixed in position, an optical reflective surface, known as a light distribution plane, is required to ensure uniform light distribution. The light emitted by the LEDs, acting as light sources, is reflected by the light distribution plane, distributing the light angle and brightness to meet these requirements.

[0030] The light distribution plane is a critical component within a headlight that reflects light. It's typically made of highly reflective materials, such as aluminum or silver-plated surfaces. It focuses and directs light from the light source in a specific direction, making it more concentrated and uniform, improving the lighting effect. The shape and texture of the light distribution plane can adjust the light to meet specific light distribution requirements. For example, low beam headlights need to create a clear light-dark cutoff line on the road to avoid glare for oncoming vehicles.

[0031] Therefore, when designing car lights, it is necessary to focus on designing the surface shape of the light distribution plane based on the actual application of the car lights to achieve a specific effect.

[0032] like Figure 2 As shown, in this embodiment, the light distribution plane can be pre-divided into multiple sub-grids. The projection area of each sub-grid on the light distribution plane can be the same. By adjusting the inclination angle of the sub-grid surface, the distance between the sub-grid surface and the LED, etc., the reflection path and reflection intensity of the LED light in the sub-grid can be affected.

[0033] In this embodiment, the distance information refers to the distance between the center point of the subgrid and a specified LED. It is understood that the distance between the subgrid and the LED affects the intensity of the light reflected by the LED. Furthermore, distance and intensity are generally negatively correlated: the farther the subgrid is from the LED, the weaker the reflected light.

[0034] When designing the light distribution plane, the staff can set the inclination angle for each sub-grid. Since the light distribution plane composed of various sub-grids is a whole, the distance is generally set for the entire light distribution plane (but it can also be fine-tuned by adjusting the inclination of the entire light distribution plane).

[0035] In this embodiment, a three-dimensional coordinate system can be defined within the light distribution plane, so that the coordinate position of each center point of the light distribution grid and the coordinate position of the LED within the three-dimensional coordinate system can be determined. Furthermore, the distance between the light distribution grid and the LED in the x, y, and z directions can be calculated using the distance calculation formula between two points to provide distance information.

[0036] Similarly, in the three-dimensional coordinate system, for each sub-grid, the angles between the sub-grid plane and the three planes in the three-dimensional coordinate system can be obtained as angle information.

[0037] Step S120: obtaining the coordinate position of the target measurement point in the measurement plane in the measurement plane coordinate system.

[0038] In this embodiment, the light distribution value at a specified distance directly in front of the headlight can be used to evaluate whether the light generated by the headlight as a whole achieves the specified effect. The plane corresponding to this specified distance is the measurement plane.

[0039] In some embodiments, the measurement plane may have a specified number of measurement points, each of which may be evenly distributed across the measurement plane. The light distribution values measured at the measurement points can be used to evaluate the lighting performance of the vehicle lamp. For example, if the difference between the light distribution values at each measurement point is less than a specified threshold, the overall lighting uniformity of the vehicle lamp can be considered to meet the requirements.

[0040] Therefore, in this embodiment, the ultimate goal of the vehicle light optical design is to require that the light distribution value at the measurement point be within a specified range.

[0041] It is understandable that, because the angle and distance information of each subgrid plane may be different in step S110, the light distribution values generated by each subgrid at different measurement points may be different. The light distribution values generated by all subgrids at the same measurement point are summed to obtain the total light distribution value corresponding to that measurement point.

[0042] Therefore, it is necessary to first calculate the light distribution value generated by any sub-grid at any measurement point. Figure 3 As shown, in this embodiment, a two-dimensional measurement plane coordinate system can be established in the measurement plane, so that each measurement point has its corresponding coordinate value, that is, coordinate position.

[0043] Step S130 , inputting the distance information, angle information, target coordinate position and luminous flux of the target light emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the subgrid at the target measurement point under the illumination of the target light emitting unit.

[0044] The target light-emitting unit is an LED. It's understandable that a headlight may contain more than one LED, and the LEDs' light isn't always emitted from the same spot; they are typically arranged sequentially. Therefore, calculations must be performed for each LED separately before the final summation is performed.

[0045] Luminous flux refers to the total amount of light energy emitted by a light source per unit time that is perceived by the human eye. It's important to note that luminous flux is different from brightness. Brightness is the intensity of light from a light source in a specific direction, while luminous flux is the total amount of light emitted. The luminous flux of an LED depends on the model and is typically a fixed value.

[0046] In this embodiment, the pre-trained simulated light distribution model can be a neural network model, such as a radial basis function (RBF) feedforward neural network or Kriging. By training the simulated light distribution model, the relationship between distance information, angle information, target coordinate position, and luminous flux and light distribution values can be determined. By extracting these features, simulation predictions can be achieved.

[0047] In some embodiments, the simulated light distribution model is trained based on a sample data set, where the sample data set includes distance information and angle information of sample subgrids in a sample light distribution plane, and coordinate positions corresponding to sample measurement points in a sample measurement plane coordinate system.

[0048] Specifically, a large amount of real measurement data can be obtained first, such as the relevant data from previous laboratory research on vehicle light optical design. These sample data include multiple groups of samples, which constitute a sample data set. Each group of samples includes the aforementioned: The distance between the sample subgrid and the LED in the x, y, and z directions respectively; The angles between the sample sub-grid planes and the three planes in the three-dimensional coordinate system; The coordinate position of the sample measurement point in the sample measurement plane coordinate system; Luminous flux of the sample LED; The actual light distribution value finally measured at the sample measurement point.

[0049] That is, the model is constructed as:

[0050] in, Refers to the light distribution value of the mth measurement point (i.e., the target measurement point) in the nth subgrid under the illumination of a specified LED. (mx, my) refers to the target coordinate position. Refers to the distance between the light distribution grid and the LED in the x, y, and z directions respectively. Refers to the angles between the sub-grid planes and the three planes in the three-dimensional coordinate system.

[0051] Through training with a large amount of sample data, the neural network model can capture the correlation between features, and thus, through parameter adjustment, ultimately train a simulation light distribution model whose prediction accuracy meets actual requirements.

[0052] After obtaining the simulated light distribution model, the distance information, angle information, target coordinate position and luminous flux of the target LED obtained in step S110 and step S120 can be input into the simulated light distribution model, so that the simulated light distribution model outputs the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit.

[0053] For a specific LED, calculate the light distribution value for each subgrid at each measurement point. The sum of the light distribution values of all subgrids at the target measurement point is used as the total light distribution value for the target measurement point for that LED. Alternatively, the sum of the total light distribution values for each LED can be used as the final light distribution value for the target measurement point, also known as the light distribution result.

[0054] In some embodiments, the light distribution results at each measurement point can be used to determine whether the design requirements are met. If the preset light distribution requirements are not met, a redesign can be performed by adaptively adjusting one or more of the input parameters, namely, the position, angle, and number of the sub-grids and / or light-emitting units of the vehicle lamp to be tested.

[0055] After the adjustment is completed, the vehicle lamp light distribution method provided in this embodiment is executed again until the light distribution results corresponding to each measuring point and the number of light-emitting units of the vehicle lamp to be tested meet the preset light distribution requirements.

[0056] The light distribution requirement can be to minimize the number of light-emitting units while ensuring that the light distribution results at specified measurement points meet specified light distribution values. For example, even if the light distribution results at every measurement point meet the requirements, there may still be room for optimization. For example, through certain adjustments, the number of required LEDs can be reduced to save costs.

[0057] Furthermore, in this embodiment, the optical reflective surface being a light distribution plane is merely a typical implementation. The vehicle headlight light distribution method provided in this embodiment can also be applied to non-planar optical reflective surfaces, such as curved ones. For optical reflective surfaces of varying shapes, the ultimate goal is the same: the light distribution values obtained at the measurement point meet the design requirements. Therefore, the method in this embodiment can also be used to collect samples and design and train a corresponding simulation light distribution model, adaptively learning the features to enable reasonable simulation and prediction of light distribution values.

[0058] This embodiment provides a method for light distribution of vehicle lights. By pre-constructing a simulation light distribution model based on distance information, angle information, the coordinate position of the target measurement point, luminous flux, and light distribution results, compared to traditional vehicle light design methods that rely on actual production samples for verification, the staff only needs to design relevant parameters and input the simulation light distribution model to quickly obtain relatively accurate light distribution results. There is no need to conduct actual production testing on the designed vehicle lights, which reduces the cost of design and testing. At the same time, the staff can also conduct rapid experiments and gradually seek the optimal vehicle light design method at a lower cost in time and money, thereby improving the efficiency of vehicle light distribution.

[0059] This application also provides a vehicle light distribution device, please refer to Figure 4 , the vehicle lamp light distribution device 100 includes: A data acquisition module 110 is configured to acquire corresponding distance information and angle information for each subgrid in a light distribution plane of the vehicle lamp under test; wherein the light distribution plane includes multiple subgrids, the distance information includes the distance between the center point of each subgrid and a target light-emitting unit, and the angle information includes the angle between each subgrid and each plane in the light distribution plane coordinate system, where the target light-emitting unit is one of the multiple light-emitting units of the vehicle lamp under test; A coordinate acquisition module 120 is configured to acquire a coordinate position of a target measurement point in a measurement plane in a measurement plane coordinate system; wherein the measurement plane includes a plurality of measurement points; The result acquisition module 130 is used to input the distance information, angle information, target coordinate position and luminous flux of the target light-emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit; wherein the simulation light distribution model is trained based on a sample data set, and the sample data set includes the distance information and angle information of the sample sub-grid in the sample light distribution plane, the coordinate position corresponding to the sample measurement point in the sample measurement plane coordinate system, the luminous flux of the sample LED and the actual light distribution value at the sample measurement point.

[0060] The vehicle light distribution device 100 provided in this application, utilizing the vehicle light distribution method described in the aforementioned embodiment, can address the technical problem of designing vehicle light distribution solutions more quickly and cost-effectively. Compared to the prior art, the vehicle light distribution device 100 provided in this application achieves the same beneficial effects as the vehicle light distribution method described in the aforementioned embodiment. Other technical features of the vehicle light distribution device 100 are the same as those disclosed in the aforementioned embodiment and are not further detailed here.

[0061] The present application provides a vehicle light distribution device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the vehicle light distribution method of the above-mentioned embodiment 1.

[0062] Reference below Figure 5 , which shows a schematic diagram of the structure of a vehicle light distribution device suitable for implementing embodiments of the present application. The vehicle light distribution device in embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The vehicle lamp light distribution device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0063] like Figure 5 As shown, the vehicle lighting distribution device 200 may include a processing device 210 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 220 or programs loaded from a storage device 230 into a random access memory (RAM) 240. RAM 240 also stores various programs and data required for the operation of the vehicle lighting distribution device. The processing device 210, ROM 220, and RAM 240 are interconnected via a bus 250. An input / output (I / O) interface 260 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 260: input devices 270, such as a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 280, such as a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 230, such as a magnetic tape or hard disk; and communication device 290. Communication device 290 can allow the vehicle lighting distribution device to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a vehicle lighting distribution device with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented or have alternatively.

[0064] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 230, or installed from a ROM 220. When the computer program is executed by the processing device 210, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0065] The vehicle light distribution device provided in this application, utilizing the vehicle light distribution method described in the aforementioned embodiment, can address the technical problem of designing vehicle light distribution solutions more quickly and cost-effectively. Compared to the prior art, the vehicle light distribution device provided in this application achieves the same beneficial effects as the vehicle light distribution method described in the aforementioned embodiment. Other technical features of the vehicle light distribution device are the same as those disclosed in the aforementioned embodiment and are not further elaborated here.

[0066] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0067] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0068] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, and the computer-readable program instructions are used to execute the vehicle light distribution method in the above-mentioned embodiment.

[0069] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0070] The computer-readable storage medium may be included in the vehicle light distribution device; or may exist independently without being assembled into the vehicle light distribution device.

[0071] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the vehicle lighting distribution device, the vehicle lighting distribution device can write computer program code for performing the operations of the present application in one or more programming languages or a combination thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, and C++, as well as conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, via the Internet using an Internet service provider).

[0072] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0073] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0074] The computer-readable storage medium provided in this application stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned vehicle light distribution method. This computer-readable storage medium addresses the technical problem of designing vehicle light distribution solutions more quickly and cost-effectively. Compared to the prior art, the computer-readable storage medium provided in this application offers the same beneficial effects as the vehicle light distribution method provided in the aforementioned embodiments, and therefore will not be further elaborated upon here.

[0075] The present application also provides a computer program product, comprising a computer program, which implements the steps of the above-mentioned vehicle light distribution method when executed by a processor.

[0076] The computer program product provided in this application can solve the technical problem of how to design a lighting distribution scheme for vehicle lights more quickly and cost-effectively. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the vehicle light distribution method provided in the above-mentioned embodiment, and will not be elaborated here.

[0077] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for distributing light to a vehicle lamp, characterized in that: The vehicle lamp light distribution method comprises: For each subgrid in a light distribution plane of the vehicle lamp under test, corresponding distance information and angle information are obtained; wherein the light distribution plane includes multiple subgrids, the distance information includes the distance between the center point of each subgrid and a target light-emitting unit, and the angle information includes the angle between each subgrid and each plane in the light distribution plane coordinate system, and the target light-emitting unit is one of the multiple light-emitting units of the vehicle lamp under test; Obtaining a coordinate position of a target measurement point in a measurement plane in a measurement plane coordinate system; wherein the measurement plane includes a plurality of measurement points; The distance information, angle information, target coordinate position and luminous flux of the target light-emitting unit are input into a pre-trained simulation light distribution model to obtain the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit; wherein, the simulation light distribution model is trained based on a sample data set, and the sample data set includes the distance information and angle information of the sample sub-grid in the sample light distribution plane, the coordinate position corresponding to the sample measurement point in the sample measurement plane coordinate system, the luminous flux of the sample LED and the actual light distribution value at the sample measurement point.

2. The vehicle lamp light distribution method according to claim 1, wherein: After inputting the distance information, angle information, target coordinate position, and luminous flux of the target light-emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the subgrid at the target measurement point under the illumination of the target light-emitting unit, the vehicle light distribution method further includes: The sum of the light distribution values corresponding to each of the sub-grids at the target measurement point is determined as the total light distribution value of the target light-emitting unit at the target measurement point.

3. The vehicle lamp light distribution method according to claim 2, wherein: After determining the sum of the light distribution values corresponding to each of the sub-grids at the target measurement point as the total light distribution value of the target light-emitting unit at the target measurement point, the vehicle light distribution method further includes: For each light-emitting unit of the vehicle lamp to be tested, calculating the corresponding total light distribution value at the target measurement point; The sum of the total light distribution values of the light-emitting units at the target measurement point is determined as the light distribution result of the vehicle lamp to be tested at the target measurement point.

4. The vehicle lamp light distribution method according to claim 3, wherein: After determining the sum of the total light distribution values of the light-emitting units at the target measurement point as the light distribution result of the vehicle lamp to be tested at the target measurement point, the vehicle lamp light distribution method further includes: Based on the corresponding light distribution results at each measurement point, one or more of the positions, angles, and numbers of the subgrids and / or light-emitting units of the vehicle lamp to be tested are adjusted, and the step of obtaining corresponding distance information and angle information for each subgrid in the light distribution plane of the vehicle lamp to be tested is re-executed until the corresponding light distribution results at each measurement point and the number of light-emitting units of the vehicle lamp to be tested meet the preset light distribution requirements.

5. The vehicle lamp light distribution method according to claim 4, wherein: The preset light distribution requirement is to minimize the number of light-emitting units on the basis that the light distribution result reaches a specified light distribution value.

6. The vehicle lamp light distribution method according to claim 2, wherein: The simulation light distribution model is an RBF neural network or a Kriging neural network.

7. A vehicle light distribution device, characterized in that: The vehicle lamp light distribution device comprises: a data acquisition module, configured to acquire corresponding distance information and angle information for each subgrid in a light distribution plane of the vehicle lamp under test; wherein the light distribution plane includes multiple subgrids, the distance information includes the distance between the center point of each subgrid and a target light-emitting unit, and the angle information includes the angle between each subgrid and each plane in a light distribution plane coordinate system, wherein the target light-emitting unit is one of the multiple light-emitting units of the vehicle lamp under test; A coordinate acquisition module, configured to acquire the coordinate position of a target measurement point in a measurement plane in a measurement plane coordinate system; wherein the measurement plane includes a plurality of measurement points; The result acquisition module is used to input the distance information, angle information, target coordinate position and luminous flux of the target light-emitting unit into a pre-trained simulation light distribution model to obtain the light distribution value generated by the sub-grid at the target measurement point under the illumination of the target light-emitting unit; wherein the simulation light distribution model is trained based on a sample data set, and the sample data set includes the distance information and angle information of the sample sub-grid in the sample light distribution plane, the coordinate position corresponding to the sample measurement point in the sample measurement plane coordinate system, the luminous flux of the sample LED and the actual light distribution value at the sample measurement point.

8. A vehicle light distribution device, characterized in that: The vehicle light distribution device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle light distribution method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle lamp light distribution method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the vehicle lamp light distribution method according to any one of claims 1 to 6 are implemented.

Images