Frequency domain-based ADB headlight optical performance detection method, system and equipment

Abstract

The present invention relates to the technical field of ADB headlight optical detection, and discloses a frequency-domain-based method, system, and device for detecting the optical performance of ADB headlights. The method comprises fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness; sequentially acquiring grayscale data of each row on the image focal plane of the ADB headlight based on a strip sensor; performing amplitude-frequency characteristic analysis based on the grayscale data to obtain the position of the frequency point; and judging whether the ADB headlight forms a clear image based on the position of the frequency point. In the present invention, the frequency point position of the first zero-crossing point is analyzed based on the amplitude-frequency characteristic, and the frequency point position is used as an indicator for judging whether the image is clear. Thus, the geometric characteristics of the LED arrangement of the ADB headlight can be used to detect whether its optical performance is qualified, thereby improving the accuracy of ADB headlight assembly detection and the consistency of ADB headlight product quality.

Description

Technical Field

[0001] The present invention relates to the technical field of ADB headlight optical detection technology, and in particular to a frequency domain-based ADB headlight optical performance detection method, system, and device. Background Art

[0002] Adaptive Driving Beam (ADB) is an intelligent beam control system that can adaptively change the beam type according to road conditions. Based on vehicle, road, and environmental conditions, the ADB system adaptively changes the high-beam beam shape to avoid glare for other road users, maintain the driver's illuminated field of view, and improve nighttime vehicle safety. However, ADB headlights exhibit numerous deviations from this ideal state, such as the uniformity of grayscale distribution caused by the lens surface microstructure, nonlinear effects caused by lens aberrations, and stray light caused by reflections from the lens surface and the mechanical structure of the lens. These factors make it difficult to spatially detect whether the ADB headlight's light panel is correctly positioned in the object focal plane. Summary of the Invention

[0003] The main purpose of the present invention is to provide a method, system and device for detecting the optical performance of ADB headlights based on the frequency domain, aiming to solve at least one of the above problems.

[0004] To achieve the above objectives, the present invention provides a frequency-domain-based method for detecting the optical performance of ADB headlights, comprising:

[0005] Fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness;

[0006] sequentially acquiring grayscale data of each row on the image side focal plane of the ADB headlight based on a strip sensor;

[0007] Performing amplitude-frequency characteristic analysis on the grayscale data to obtain the position of the frequency point;

[0008] Whether the ADB headlight has a clear image is determined according to the position of the frequency point.

[0009] In some embodiments, sequentially acquiring grayscale data of each row on the image-side focal plane of the ADB headlight based on a strip sensor includes:

[0010] Constructing a rectangular coordinate system at the image-side focal plane of the ADB headlight;

[0011] The strip sensor is controlled to move along the positive direction of the X-axis of the rectangular coordinate system to sequentially obtain grayscale data of the image-side focal plane of the ADB headlight.

[0012] In some embodiments, the origin of the rectangular coordinate system is located at the first pixel at the starting position of the strip sensor, the X axis of the rectangular coordinate system is perpendicular to the strip sensor, and the Y axis of the rectangular coordinate system is parallel to the strip sensor.

[0013] In some embodiments, the positive direction of the X-axis of the rectangular coordinate system is consistent with the direction vector from the starting position of the strip sensor movement to the end position; the positive direction of the Y-axis of the rectangular coordinate system is consistent with the direction vector from the first pixel point to the last pixel point on the strip sensor.

[0014] In some embodiments, the amplitude-frequency characteristic analysis is performed based on the grayscale data to obtain the position of the frequency point, including

[0015] performing impedance matching, bandwidth matching, and signal amplification of the strip sensor based on the grayscale data to obtain processed grayscale data;

[0016] Obtaining a grayscale value of the image focal plane according to the processed grayscale data;

[0017] Constructing a linear relationship between the grayscale value of the image-side focal plane and the grayscale value of the object-side focal plane of the ADB headlight;

[0018] Constructing a grayscale distribution image of the image-side focal plane based on the linear relationship and the processed grayscale data;

[0019] Performing amplitude-frequency characteristic analysis on the grayscale distribution image to obtain a frequency domain characteristic function and an amplitude characteristic function;

[0020] Determine the frequency point of the first zero-crossing point according to the frequency domain characteristic function and the amplitude characteristic function;

[0021] The frequency point of the first zero-crossing point is used as a frequency point, and the position of the frequency point is determined.

[0022] In some embodiments, the frequency domain characteristic function of the amplitude-frequency characteristic analysis is:

[0023] Where n is the number of lamp beads along the positive direction of the Y axis of the rectangular coordinate system; E is the brightness of the lamp bead on the image focal plane; τ is the width of the lamp bead on the image focal plane.

[0024] In some embodiments, the ADB headlight to be tested is a matrix ADB headlight.

[0025] In addition, to achieve the above-mentioned purpose, the present invention also proposes a frequency domain-based ADB headlight optical performance detection system, comprising: a strip sensor and a signal processing and motion control board connected to the strip sensor; wherein,

[0026] Fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness;

[0027] The signal processing and motion control board is used to control the motion of the strip sensor;

[0028] The strip sensor is used to sequentially acquire grayscale data of each row on the image-side focal plane of the ADB headlight; wherein the strip sensor is arranged on the image-side focal plane of the ADB headlight;

[0029] The signal processing and motion control board is further used to perform amplitude-frequency characteristic analysis based on the grayscale data to obtain the position of the frequency point;

[0030] The signal processing and motion control board is further used to determine whether the ADB headlight has clear imaging based on the position of the frequency point.

[0031] In some embodiments, the frequency domain-based ADB headlight optical performance detection system further includes:

[0032] The optical path folding system is located between the ADB headlight to be tested and the strip sensor, shortening the length of the main optical path of the ADB headlight.

[0033] In addition, to achieve the above-mentioned objectives, the present invention also proposes an electronic device, comprising: a memory, a processor, and a frequency-domain-based ADB headlight optical performance detection program stored in the memory and executable on the processor, wherein the frequency-domain-based ADB headlight optical performance detection program is configured to implement the frequency-domain-based ADB headlight optical performance detection method described above.

[0034] The present invention provides a frequency-domain-based method for testing the optical performance of ADB headlights, comprising: fixing the ADB headlight to be tested and lighting the ADB headlight so that each LED in the ADB headlight reaches the same fixed brightness; sequentially acquiring grayscale data for each row on the image-side focal plane of the ADB headlight using a strip sensor; performing amplitude-frequency characteristic analysis based on the grayscale data to obtain the location of frequency points; and determining whether the ADB headlight produces a clear image based on the location of the frequency points. In the present invention, the location of the first zero-crossing frequency point is determined based on the amplitude-frequency characteristic analysis. Under conditions of clear imaging, the location of the frequency point is linearly related to the size of the LED lamp bead. When the LED size and lens are determined, the location of this frequency point is fixed. The frequency point location is used as an indicator for determining whether the image is clear. This method utilizes the geometric characteristics of the ADB headlight's LED arrangement to detect whether its optical performance is acceptable, thereby improving the accuracy of ADB headlight assembly testing and the consistency of ADB headlight product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of the structure of an electronic device in the hardware operating environment involved in an embodiment of the present invention;

[0036] Figure 2 1 is a flow chart of an embodiment of a frequency-domain-based ADB headlight optical performance detection method according to the present invention;

[0037] Figure 3 This is the ADB headlight optical performance measurement system involved in the embodiment of the present invention;

[0038] Figure 4 Schematic diagram of the light source distribution of the matrix ADB headlights involved in the embodiment of the present invention;

[0039] Figure 5 A schematic diagram of one-dimensional brightness distribution in the spatial domain involved in an embodiment of the present invention;

[0040] Figure 6 Schematic diagram of the amplitude-frequency characteristics involved in the embodiment of the present invention;

[0041] Figure 7 This is a structural block diagram of an embodiment of a frequency-domain-based ADB headlight optical performance detection system according to the present invention.

[0042] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0044] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0045] In addition, the descriptions of "first", "second", etc. in the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention. It should be understood that the specific embodiments described here are only used to explain the present invention and are not used to limit the present invention.

[0046] Reference Figure 1 , Figure 1 This is a schematic diagram of the electronic device structure of the hardware operating environment involved in the embodiment of the present invention.

[0047] like Figure 1 As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may optionally include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM memory) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0048] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation to the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0049] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a frequency domain-based ADB headlight optical performance detection program.

[0050] exist Figure 1In the electronic device shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the electronic device of the present invention can be set in the electronic device. The electronic device calls the frequency domain-based ADB headlight optical performance detection program stored in the memory 1005 through the processor 1001 and executes the frequency domain-based ADB headlight optical performance detection method provided by an embodiment of the present invention.

[0051] The present invention provides a method, system and device for detecting the optical performance of ADB headlights based on the frequency domain.

[0052] The embodiment of the present invention provides a method for detecting the optical performance of ADB headlights based on the frequency domain, referring to Figure 2 , Figure 2 2 is a flow chart of an embodiment of a frequency-domain-based ADB headlight optical performance detection method according to the present invention.

[0053] like Figure 2 As shown, the frequency domain-based ADB headlight optical performance detection method includes:

[0054] Step S100: fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness;

[0055] Step S200: sequentially acquiring grayscale data of each row on the image-side focal plane of the ADB headlight based on the strip sensor;

[0056] Step S300: performing amplitude-frequency characteristic analysis based on the grayscale data to obtain the position of the frequency point;

[0057] Step S400: determining whether the ADB headlights have clear imaging according to the positions of the frequency points.

[0058] In one example, the ADB headlight to be tested is a matrix ADB headlight.

[0059] It should be noted that this embodiment is described by taking the optical performance test based on the matrix ADB headlight as an example, and uses the geometric characteristics of the LED arrangement of the matrix ADB headlight to test whether its optical performance is qualified.

[0060] It is understandable that, combined with Figure 3 The measurement system shown in the figure illustrates the specific process of the frequency domain-based ADB headlight optical performance testing method. Figure 3As shown in the figure, the matrix ADB headlight is the ADB headlight to be tested; optical path folding system: a typical ADB headlight has an image focal plane about 25 meters away from the lens. In order to shorten the volume of the measurement system, the multiple reflection method is adopted to shorten the length of the main optical path; sensor plane: the sensor plane is located at the image focal plane of the ADB headlight lens. Considering the large imaging area, the use of a strip sensor is the best choice in terms of cost and feasibility. The strip sensor obtains the grayscale of one row of the two-dimensional image each time. The strip sensor can move in a direction perpendicular to itself, from the starting position to the end position, and the grayscale distribution of the entire image plane is obtained; signal processing and motion control board: the main functions of this component include impedance matching, bandwidth matching, signal amplification, frequency domain conversion, discrimination and display, and strip sensor motion control.

[0061] In one embodiment, the ADB headlight to be tested is fixed and the ADB headlight is illuminated so that each lamp bead of the ADB headlight reaches the same fixed brightness.

[0062] Specifically, the ADB headlight to be tested is placed in a fixed seat, and the ADB headlight driver board lights up the ADB headlight so that each lamp bead reaches the same fixed brightness. The ADB headlight to be tested can be a matrix ADB headlight. The typical matrix ADB headlight light source distribution is as follows: Figure 4 As shown, each lamp bead of the ADB headlight can be an LED.

[0063] In one embodiment, grayscale data of each row on the image-side focal plane of the ADB headlight is sequentially acquired based on a strip sensor, including: constructing a rectangular coordinate system at the image-side focal plane of the ADB headlight; and controlling the strip sensor to move along the positive direction of the X-axis of the rectangular coordinate system to sequentially acquire grayscale data of the image-side focal plane of the ADB headlight.

[0064] The origin of the rectangular coordinate system is located at the first pixel at the starting position of the strip sensor, the X-axis of the rectangular coordinate system is perpendicular to the strip sensor, and the Y-axis of the rectangular coordinate system is parallel to the strip sensor. The positive direction of the X-axis of the rectangular coordinate system is consistent with the direction vector from the starting position to the end position of the strip sensor's movement; the positive direction of the Y-axis of the rectangular coordinate system is consistent with the direction vector from the first pixel on the strip sensor to the last pixel.

[0065] Specifically, assuming that Figure 4 The matrix ADB headlight lens shown is an ideal optical system. Each lamp bead, i.e., LED, of the ADB headlight emits light evenly, and the influence of stray light caused by factors such as the entire mechanical structure of the ADB headlight and lens reflection is not considered.

[0066] For example, a rectangular coordinate system is constructed at the image focal plane: the origin of the rectangular coordinate system is located at the first pixel at the starting position of the strip sensor, the X-axis of the rectangular coordinate system is perpendicular to the strip sensor, and the Y-axis of the rectangular coordinate system is parallel to the strip sensor. The positive direction of the X-axis is consistent with the direction vector from the starting position to the end position of the strip sensor's movement; the positive direction of the Y-axis is consistent with the direction vector from the first pixel on the strip sensor to the last pixel.

[0067] In one embodiment, an amplitude-frequency characteristic analysis is performed based on the grayscale data to obtain the position of the frequency point, including performing impedance matching, bandwidth matching and signal amplification of the strip sensor based on the grayscale data to obtain processed grayscale data; obtaining the grayscale value of the image-side focal plane based on the processed grayscale data; constructing a linear relationship between the grayscale value of the image-side focal plane and the grayscale value of the object-side focal plane of the ADB headlight; constructing a grayscale distribution image of the image-side focal plane based on the linear relationship and the processed grayscale data; performing amplitude-frequency characteristic analysis on the grayscale distribution image to obtain a frequency domain characteristic function and an amplitude characteristic function; determining the frequency point of the first zero-crossing point based on the frequency domain characteristic function and the amplitude characteristic function; using the frequency point of the first zero-crossing point as the frequency point, and determining the position of the frequency point.

[0068] It should be noted that the strip sensor acquires the grayscale data of each row in turn and sends it to the signal processing and motion control board (such as FPGA). The signal processing and motion control board first performs front-end signal processing on the grayscale data, such as impedance matching, bandwidth matching and signal amplification of the strip sensor, and then performs frequency domain transformation, judgment and display based on the processed grayscale data.

[0069] For example, according to the characteristics of an ideal optical system, the grayscale value of the object focal plane and the grayscale value of the image focal plane are linearly related. Let f(x,y) represent the grayscale distribution of the object focal plane and g(x,y) represent the grayscale distribution of the image focal plane, then:

[0070] f(x,y)=kg(x,y)

[0071] Therefore, on the image focal plane, each grayscale distribution along the positive direction of the y-axis should be an image composed of several gate functions as shown in the figure below, which can be expressed by the following formula:

[0072] f(y)=E[g τ (y-y0)+g τ (y-y1)+g τ (y-y2)+...]

[0073] Where, E is the brightness of the lamp bead on the image focal plane; τ is the width of the lamp bead on the image focal plane.

[0074] Specifically, the frequency domain characteristic function of the amplitude-frequency characteristic analysis is:

[0075]

[0076] Where n is the number of lamp beads along the positive direction of the Y axis of the rectangular coordinate system; E is the brightness of the lamp bead on the image focal plane; τ is the width of the lamp bead on the image focal plane.

[0077] It is understandable that, with reference to Figure 5 and Figure 6 The amplitude-frequency characteristic function shown in the figure shows that the first zero-crossing frequency point (such as Figure 6 The ω0 point (shown in the figure), or the frequency point where 90% of the energy is concentrated, is linearly related to the size of the LED lamp bead under the condition of clear imaging. When the LED size and lens are determined, the position of this frequency point is fixed and can be set as ω0. Therefore, in this embodiment, the position of ω0 can be used as an indicator to determine whether the image is clear.

[0078] Exemplarily, the strip sensor acquires the grayscale data of each row in turn and sends it to the signal processing and motion control board (such as FPGA). The signal processing and motion control board calculates the value of ω0, determines whether the value of ω0 is correct (whether it conforms to the size of the LED lamp beads), and outputs the test results as the optical performance test results of the matrix ADB headlights.

[0079] It should be noted that actual matrix ADB headlights exhibit numerous deviations from the ideal optical system described above. For example, the lens surface microstructure can even out the grayscale distribution; lens aberrations can cause nonlinear effects; and stray light from the lens surface and the lens' mechanical structure can be very difficult to detect in the spatial domain whether the light panel is correctly positioned in the object focal plane. The frequency-domain ADB headlight optical performance testing method employed in this embodiment, based on the aforementioned amplitude-frequency characteristic principle, detects whether the optical performance of matrix ADB headlights meets design requirements, improving the accuracy of ADB headlight assembly testing and enhancing product quality consistency.

[0080] This embodiment provides a frequency-domain-based method for testing the optical performance of ADB headlights, including: fixing the ADB headlight to be tested and illuminating it so that each LED in the ADB headlight reaches a uniform, fixed brightness; sequentially acquiring grayscale data for each row on the image-side focal plane of the ADB headlight using a stripe sensor; performing amplitude-frequency analysis on the grayscale data to determine the location of frequency points; and determining whether the ADB headlight produces a clear image based on the location of the frequency points. In this embodiment, the location of the first zero-crossing frequency point is determined based on the amplitude-frequency analysis. Under conditions of clear imaging, the location of this frequency point is linearly related to the size of the LED bead. When the LED size and lens are determined, the location of this frequency point is fixed. Using the frequency point location as an indicator for determining whether an image is clear, the geometric characteristics of the ADB headlight's LED arrangement can be used to test whether its optical performance meets the standards, thereby improving the accuracy of ADB headlight assembly testing and enhancing the consistency of ADB headlight product quality.

[0081] In addition, an embodiment of the present invention further provides a storage medium, on which a frequency-domain-based ADB headlight optical performance detection program is stored. When the frequency-domain-based ADB headlight optical performance detection program is executed by a processor, the steps of the frequency-domain-based ADB headlight optical performance detection method described above are implemented.

[0082] Reference Figure 7 , Figure 7 This is a structural block diagram of an embodiment of a frequency-domain-based ADB headlight optical performance detection system according to the present invention.

[0083] like Figure 7 As shown, the frequency domain-based ADB headlight optical performance detection system includes: a strip sensor 10 and a signal processing and motion control board 20 connected to the strip sensor 10; wherein,

[0084] Fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness;

[0085] The signal processing and motion control board 20 is used to control the motion of the strip sensor;

[0086] The strip sensor 10 is used to sequentially acquire the grayscale data of each row on the image side focal plane of the ADB headlight; wherein the strip sensor is arranged on the image side focal plane of the ADB headlight;

[0087] The signal processing and motion control board 20 is further used to perform amplitude-frequency characteristic analysis based on the grayscale data to obtain the position of the frequency point;

[0088] The signal processing and motion control board 20 is further used to determine whether the ADB headlight has a clear image according to the position of the frequency point.

[0089] In one embodiment, if Figure 7 As shown, the frequency domain-based ADB headlight optical performance detection system further includes:

[0090] The optical path folding system 30 is located between the ADB headlight to be tested and the strip sensor 10 to shorten the length of the main optical path of the ADB headlight.

[0091] It should be noted that this embodiment is described by taking the optical performance test based on the matrix ADB headlight as an example, and uses the geometric characteristics of the LED arrangement of the matrix ADB headlight to test whether its optical performance is qualified.

[0092] Specifically, combined Figure 3 The measurement system shown in FIG3 specifically describes the frequency domain-based ADB headlight optical performance detection system. Figure 3 As shown in the figure, the matrix ADB headlight is the ADB headlight to be tested; optical path folding system: a typical ADB headlight has an image focal plane about 25 meters away from the lens. In order to shorten the volume of the measurement system, the multiple reflection method is adopted to shorten the length of the main optical path; sensor plane: the sensor plane is located at the image focal plane of the ADB headlight lens. Considering the large imaging area, the use of a strip sensor is the best choice in terms of cost and feasibility. The strip sensor obtains the grayscale of one row of the two-dimensional image each time. The strip sensor can move in a direction perpendicular to itself, from the starting position to the end position, and the grayscale distribution of the entire image plane is obtained; signal processing and motion control board: the main functions of this component include impedance matching, bandwidth matching, signal amplification, frequency domain conversion, discrimination and display, and strip sensor motion control.

[0093] Exemplarily, the ADB headlight to be tested is placed in a fixed seat; the ADB headlight driver board lights up the ADB headlight so that each lamp bead reaches the same fixed brightness; the strip sensor 10 obtains the grayscale data of each row in turn and sends it to the signal processing and motion control board 20 (such as FPGA). The signal processing and motion control board 20 calculates the value of ω0, determines whether the value of ω0 is correct (whether it meets the size of the LED lamp bead), and outputs the test result as the optical performance test result of the matrix ADB headlight.

[0094] Understandably, actual matrix ADB headlights exhibit numerous deviations from the ideal optical system described above. For example, lens surface microstructures can even out grayscale distribution; lens aberrations can cause nonlinear effects; and stray light from the lens surface and the lens' mechanical structure can contribute to the difficulty of spatially detecting whether the light panel is correctly positioned in the object focal plane. The frequency-domain ADB headlight optical performance testing system employed in this embodiment, based on the principle of amplitude-frequency characteristics, detects whether the optical performance of matrix ADB headlights meets design requirements, improving the accuracy of ADB headlight assembly testing and enhancing product quality consistency.

[0095] In this embodiment, the frequency point position of the first zero-crossing point is analyzed based on the amplitude-frequency characteristics. Under the condition of clear imaging, it is linearly related to the size of the LED lamp bead. When the LED size and lens are determined, the position of this frequency point is determined. The frequency point position is used as an indicator to judge whether the imaging is clear, so that the geometric characteristics of the ADB headlight LED arrangement can be used to detect whether its optical performance is qualified, thereby improving the accuracy of ADB headlight assembly detection and improving the consistency of ADB headlight product quality.

[0096] It should be noted that for technical details not fully described in the embodiment of the frequency-domain-based ADB headlight optical performance detection system, reference can be made to the frequency-domain-based ADB headlight optical performance detection method described above provided in any embodiment of the present invention, and will not be repeated here.

[0097] It should be understood that the above is only an example and does not constitute any limitation to the technical solution of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any limitation on this.

[0098] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the embodiment scheme, and no limitation is made here.

[0099] In addition, it should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0100] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0101] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0102] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A frequency domain-based ADB headlight optical performance detection method, characterized in that: include: Fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness; sequentially acquiring grayscale data of each row on the image side focal plane of the ADB headlight based on a strip sensor; Performing amplitude-frequency characteristic analysis on the grayscale data to obtain the position of the frequency point; Determining whether the ADB headlight has a clear image according to the position of the frequency point; Among them, performing amplitude-frequency characteristic analysis on the grayscale data to obtain the position of the frequency point includes: performing impedance matching, bandwidth matching and signal amplification of the strip sensor based on the grayscale data to obtain processed grayscale data; obtaining the grayscale value of the image-side focal plane based on the processed grayscale data; constructing a linear relationship between the grayscale value of the image-side focal plane and the grayscale value of the object-side focal plane of the ADB headlight; constructing a grayscale distribution image of the image-side focal plane based on the linear relationship and the processed grayscale data; performing amplitude-frequency characteristic analysis on the grayscale distribution image to obtain a frequency domain characteristic function and an amplitude characteristic function; determining the frequency point of the first zero-crossing point based on the frequency domain characteristic function and the amplitude characteristic function; taking the frequency point of the first zero-crossing point as the frequency point, and determining the position of the frequency point.

2. The method according to claim 1, wherein The strip sensor-based sequentially acquiring grayscale data of each row on the image-side focal plane of the ADB headlight includes: Constructing a rectangular coordinate system at the image-side focal plane of the ADB headlight; The strip sensor is controlled to move along the positive direction of the X-axis of the rectangular coordinate system to sequentially obtain grayscale data of the image-side focal plane of the ADB headlight.

3. The method according to claim 2, wherein The origin of the rectangular coordinate system is located at the first pixel at the starting position of the strip sensor, the X axis of the rectangular coordinate system is perpendicular to the strip sensor, and the Y axis of the rectangular coordinate system is parallel to the strip sensor.

4. The method according to claim 2, wherein The positive direction of the X-axis of the rectangular coordinate system is consistent with the direction vector from the starting position of the strip sensor to the end position; the positive direction of the Y-axis of the rectangular coordinate system is consistent with the direction vector from the first pixel point to the last pixel point on the strip sensor.

5. The method according to claim 1, wherein The frequency domain characteristic function of amplitude-frequency characteristic analysis is: ； Where n is the number of lamp beads along the positive direction of the Y axis of the rectangular coordinate system; E is the brightness of the lamp bead on the image focal plane; τ is the width of the lamp bead on the image focal plane.

6. The method according to any one of claims 1 to 5, characterized in that The ADB headlight to be tested is a matrix ADB headlight.

7. A frequency domain-based ADB headlight optical performance detection system, characterized by: include: A strip sensor and a signal processing and motion control board connected to the strip sensor; wherein, Fixing the ADB headlight to be tested and lighting the ADB headlight so that each lamp bead of the ADB headlight reaches the same fixed brightness; The signal processing and motion control board is used to control the motion of the strip sensor; The strip sensor is used to sequentially acquire grayscale data of each row on the image-side focal plane of the ADB headlight; wherein the strip sensor is arranged on the image-side focal plane of the ADB headlight; The signal processing and motion control board is further used to perform amplitude-frequency characteristic analysis based on the grayscale data to obtain the position of the frequency point; The signal processing and motion control board is further used to determine whether the ADB headlight has clear imaging according to the position of the frequency point; Among them, performing amplitude-frequency characteristic analysis on the grayscale data to obtain the position of the frequency point includes: performing impedance matching, bandwidth matching and signal amplification of the strip sensor based on the grayscale data to obtain processed grayscale data; obtaining the grayscale value of the image-side focal plane based on the processed grayscale data; constructing a linear relationship between the grayscale value of the image-side focal plane and the grayscale value of the object-side focal plane of the ADB headlight; constructing a grayscale distribution image of the image-side focal plane based on the linear relationship and the processed grayscale data; performing amplitude-frequency characteristic analysis on the grayscale distribution image to obtain a frequency domain characteristic function and an amplitude characteristic function; determining the frequency point of the first zero-crossing point based on the frequency domain characteristic function and the amplitude characteristic function; taking the frequency point of the first zero-crossing point as the frequency point, and determining the position of the frequency point.

8. The system according to claim 7, wherein: The frequency domain-based ADB headlight optical performance detection system further includes: The optical path folding system is located between the ADB headlight to be tested and the strip sensor, shortening the length of the main optical path of the ADB headlight.

9. An electronic device, characterized in that: The electronic device includes: a memory, a processor, and a frequency-domain-based ADB headlight optical performance detection program stored in the memory and executable on the processor, wherein the frequency-domain-based ADB headlight optical performance detection program is configured to implement the frequency-domain-based ADB headlight optical performance detection method according to any one of claims 1 to 6.

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