ADB headlamp optical performance detection method, system and equipment based on frequency domain

Abstract

The invention relates to the technical field of ADB headlamp optical detection, and discloses an ADB headlamp optical performance detection method, system and device based on a frequency domain. The method comprises the steps that an ADB headlamp to be tested is fixed, and the ADB headlamp is lightened, so that all lamp beads of the ADB headlamp reach the same fixed brightness; sequentially acquiring gray data of each row on an image space focal plane of the ADB headlamp based on a strip sensor; performing amplitude-frequency characteristic analysis according to the gray data to obtain the position of a frequency point; and judging whether the ADB headlamp is clearly imaged or not according to the position of the frequency point. According to the method, the position of the frequency point of the first zero crossing point is analyzed according to the amplitude-frequency characteristics, and the position of the frequency point is used as an index for judging whether clear imaging exists or not, so that whether the optical performance of the ADB headlamp is qualified or not can be detected by utilizing the geometrical characteristics of LED arrangement of the ADB headlamp, the accuracy of assembly detection of the ADB headlamp is improved, and the consistency of the quality of ADB headlamp products is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ADB headlight optical detection, 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. According to the vehicle condition, road condition and environmental conditions, the ADB system adaptively changes the shape of the high beam to avoid glare to other road users, maintain the driver's illuminated field of view, and improve the safety of the car at night. However, there are many deviations from the above ideal state in ADB headlights, such as the microstructure of the lens surface that makes the grayscale distribution uniform, the nonlinear effect caused by the aberration of the lens, the emission of the lens surface and the stray light caused by the mechanical structure of the lens. These factors make it very difficult to detect whether the light board of the ADB headlight is in the correct position of the object focal plane in the spatial domain. 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 frequency domain, aiming to solve at least one of the above problems.

[0004] To achieve the above object, the present invention provides a frequency domain-based ADB headlight optical performance detection method, 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 the strip sensor;

[0007] Performing amplitude-frequency characteristic analysis according to 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 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 acquire 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 according to the grayscale data to obtain the position of the frequency point, including

[0015] Based on the grayscale data, impedance matching, bandwidth matching and signal amplification of the strip sensor are performed 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] Wherein, 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 obtain 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;

[0029] The signal processing and motion control board is also 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 also used to determine whether the ADB headlight has a clear image according to 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, and shortens the length of the main optical path of the ADB headlight.

[0033] In addition, to achieve the above-mentioned purpose, 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 as described above.

[0034] The present invention provides a frequency domain-based ADB headlight optical performance detection method, including: 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 the 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 has 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. Under the condition of clear imaging, it is linearly related to the size of the LED lamp bead. When the LED size and the lens are determined, the position of this frequency point is determined. The frequency point position is used as an indicator to judge whether the image is clear, so that 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 the ADB headlight assembly detection and improving the consistency of the ADB headlight product quality. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0036] Figure 2 It is a flow chart of an embodiment of a method for detecting the optical performance of an ADB headlight based on the frequency domain according to the present invention;

[0037] Figure 3 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 headlight 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 A schematic diagram of the amplitude-frequency characteristics involved in an embodiment of the present invention;

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

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

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are 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 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 used 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 the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such 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 herein are only used to explain the present invention and are not used to limit the present invention.

[0046] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of an electronic device of a hardware operating environment involved in an 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 optional user interface 1003 may also 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 also 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 on the electronic device, and may include more or less 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, and 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 in an embodiment of the present invention.

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

[0052] The embodiment of the present invention provides a method for detecting the optical performance of an ADB headlight based on the frequency domain, referring to Figure 2 , Figure 2 The figure is a flow chart of an embodiment of a method for detecting the optical performance of an ADB headlight based on the frequency domain 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 according to the grayscale data to obtain the position of the frequency point;

[0057] Step S400: judging whether the ADB headlight has a clear image according to the position of the frequency point.

[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 detection based on the matrix ADB headlight as an example, and utilizing the geometric characteristics of the LED arrangement of the matrix ADB headlight to detect 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 detection method. Figure 3As shown, the matrix ADB headlight is the ADB headlight to be tested; optical path folding system: a typical ADB headlight, its image focal plane is 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 transformation, 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 lit, 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 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.

[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 the entire mechanical structure of the ADB headlight and lens reflection is not considered.

[0066] For example, at the focal plane of the image side, a rectangular coordinate system is constructed: 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 of the strip sensor to the end position; the positive direction of the Y axis is consistent with the direction vector from the first pixel point on the strip sensor to the last pixel point.

[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; taking 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 performs frequency domain transformation, discrimination 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 following figure, 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] Wherein, 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, referring 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 frequency point ω0 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 the lens are determined, the position of this frequency point is determined, and this point can be set as ω0. Therefore, in this embodiment, the position of ω0 can be used as an indicator to determine whether the imaging 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 in actual matrix ADB headlights, there are many deviations from the ideal optical system state mentioned above, for example, the microstructure on the lens surface will make the grayscale distribution uniform; the nonlinear effect caused by the aberration of the lens; the emission on the lens surface and the stray light caused by the mechanical structure of the lens, etc. These factors will make it very difficult to detect whether the light board is in the correct position of the object focal plane in the spatial domain. The frequency domain-based ADB headlight optical performance detection method adopted in this embodiment is based on the above-mentioned amplitude-frequency characteristic principle, and detects whether the optical performance of the matrix ADB headlight meets the design requirements, which improves the accuracy of ADB headlight assembly detection and improves product quality consistency.

[0080] The present embodiment provides a frequency domain-based ADB headlight optical performance detection method, including: 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 the 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 has a clear image based on the position of the frequency point. In the present embodiment, the frequency point position of the first zero-crossing point is analyzed based on the amplitude-frequency characteristic. Under the condition of clear imaging, it is linearly related to the size of the LED lamp bead. When the LED size and the lens are determined, the position of this frequency point is determined. The frequency point position is used as an indicator to judge whether the image is clear, so that 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 the ADB headlight assembly detection and improving the consistency of the ADB headlight product quality.

[0081] In addition, an embodiment of the present invention further proposes 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 It is a structural block diagram of an embodiment of an ADB headlight optical performance detection system based on frequency domain of 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 obtain the grayscale data of each row on the image focal plane of the ADB headlight; wherein the strip sensor is arranged on the image focal plane of the ADB headlight;

[0087] The signal processing and motion control board 20 is also 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 also 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 also 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 detection based on the matrix ADB headlight as an example, and utilizing the geometric characteristics of the LED arrangement of the matrix ADB headlight to detect whether its optical performance is qualified.

[0092] Specifically, combined Figure 3 The measurement system shown in FIG. 1 specifically describes the frequency domain-based ADB headlight optical performance detection system. Figure 3 As shown, the matrix ADB headlight is the ADB headlight to be tested; optical path folding system: a typical ADB headlight, its image focal plane is 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 transformation, discrimination and display, and strip sensor motion control.

[0093] Exemplarily, the ADB headlight to be tested is placed in a fixing seat; the ADB headlight driver board lights 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 conforms to the size of the LED lamp bead), and outputs the test result as the optical performance test result of the matrix ADB headlight.

[0094] It is understandable that in actual matrix ADB headlights, there are many deviations from the ideal optical system state described above, for example, the microstructure on the lens surface will make the grayscale distribution uniform; the nonlinear effect caused by the aberration of the lens; the emission on the lens surface and the stray light caused by the mechanical structure of the lens, etc. These factors will make it very difficult to detect whether the light board is in the correct position of the object focal plane in the spatial domain. The frequency-domain-based ADB headlight optical performance detection system used in this embodiment is based on the principle of amplitude-frequency characteristics. It detects whether the optical performance of the matrix ADB headlight meets the design requirements, improves the accuracy of ADB headlight assembly detection, and improves product quality consistency.

[0095] In this embodiment, the frequency point position of the first zero-crossing point is analyzed based on the amplitude-frequency characteristic. 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 the consistency of ADB headlight product quality.

[0096] It should be noted that the technical details that are not described in detail in the embodiment of the frequency domain-based ADB headlight optical performance detection system can be found in 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 on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit 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 them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

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

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

[0101] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an 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, which 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 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 specification 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 the strip sensor; Performing amplitude-frequency characteristic analysis according to the grayscale data to obtain the position of the frequency point; Whether the ADB headlight has a clear image is determined according to the position of the frequency point.

2. The method according to claim 1, characterized in that The strip sensor-based sequentially acquiring grayscale data of each row on the image focal plane of the ADB headlight includes: Constructing a rectangular coordinate system at the image 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 acquire grayscale data of the image-side focal plane of the ADB headlight.

3. The method according to claim 2, characterized in that 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, characterized in that 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, characterized in that The amplitude-frequency characteristic analysis is performed according to the grayscale data to obtain the position of the frequency point, including Based on the grayscale data, impedance matching, bandwidth matching and signal amplification of the strip sensor are performed to obtain processed grayscale data; Obtaining a grayscale value of the image focal plane according to 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; Determine the frequency point of the first zero-crossing point according to the frequency domain characteristic function and the amplitude characteristic function; The frequency point of the first zero-crossing point is used as a frequency point, and the position of the frequency point is determined.

6. The method according to claim 5, characterized in that The frequency domain characteristic function of amplitude-frequency characteristic analysis is: Wherein, 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.

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

8. A frequency domain-based ADB headlight optical performance detection system, characterized in that: 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 obtain 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; The signal processing and motion control board is also 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 also used to determine whether the ADB headlight has a clear image according to the position of the frequency point.

9. The system according to claim 8, characterized in that 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, and shortens the length of the main optical path of the ADB headlight.

10. 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 as described in any one of claims 1 to 7.

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