A method and system for evaluating performance of a vehicle-mounted optical lens

Abstract

The present application belongs to the technical field of optical lens performance evaluation, and provides a vehicle-mounted optical lens performance evaluation method and system. Image pixel values corresponding to imaging interference areas are extracted from multiple simulation tests, and correlation degree analysis is performed with the obtained aperture light quantity, to obtain a degree correlation value, thereby reflecting the dynamic coupling closeness between the aperture light quantity change and the imaging pixel change. It is further clarified that the light quantity is the main factor leading to overexposure. The vehicle-mounted reversing lens is subjected to multiple simulation tests, and the identified imaging interference areas in the simulation tests are extracted for stability analysis to obtain an imaging interference stability value, thereby reflecting the stability of the vehicle-mounted reversing lens in the night underground garage reversing into the garage scene, which is disturbed by the reflection of the reflection strip reflection light and the overexposure degree. It is helpful to statically optimize the stage where overexposure phenomenon is most likely to occur, or dynamically optimize the stage where overexposure phenomenon occurs.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of optical lens performance evaluation, in particular to a vehicle-mounted optical lens performance evaluation method and system. BACKGROUND

[0002] Under the wave of automobile intelligent development, vehicle-mounted optical lenses, as important components for assisting driving, provide drivers with a wider field of view, especially in the complex and common driving scenario of reversing into a garage, vehicle-mounted reversing mirrors play a key role and can help drivers clearly observe the situation behind and on the sides of the vehicle, especially when reversing into a garage at night, local reflective strips are usually pasted on the wall columns, which will reflect under the irradiation of vehicle tail light. When the reflected light enters the vehicle-mounted optical lens, it is easy to cause overexposure in the local area of the reversing image, thereby producing a blind area, which seriously affects the driver's judgment of the surrounding environment and increases the difficulty and risk of reversing into a garage.

[0003] In the prior art, most evaluation methods do not fully consider the actual lighting conditions and reflective characteristics of the reflective strips in the specific environment of the underground garage at night, resulting in the inability to accurately identify the imaging interference area, making it difficult to clearly identify the auxiliary reversing blind area problem caused by lens imaging overexposure when reversing into a garage. Moreover, a scientific and reasonable correlation analysis system is often not established, which cannot accurately reflect the dynamic coupling tightness between the change of light aperture light quantity and the change of imaging pixels. This leads to difficulty in positioning the weaknesses of vehicle-mounted lens optical performance, and it is difficult to determine whether the light quantity is the main factor leading to overexposure, thereby providing effective basis for subsequent optimization.

[0004] Secondly, in multiple simulation tests, the existing method is difficult to accurately evaluate the stability of the imaging interference area, and it is difficult to judge the stability of the vehicle-mounted reversing mirror under the interference of the reflective light of the reflective strip and the overexposure degree in the scenario of reversing into a garage in the underground garage at night. This makes it difficult to conduct static optimization for the stage where overexposure phenomenon is prone to occur, or dynamic optimization for the stage where overexposure phenomenon occurs in the subsequent optimization process, thereby making it difficult to effectively improve the imaging stability of the vehicle-mounted lens under different conditions.

[0005] Therefore, the present application provides a vehicle-mounted optical lens performance evaluation method and system. SUMMARY

[0006] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0007] The technical scheme adopted by the present application to solve its technical problems is:

[0008] The first aspect is a performance evaluation method of a vehicle-mounted optical lens, comprising:

[0009] In the simulation of reversing into the garage at night, the vehicle-mounted reversing lens is simulated and tested to evaluate whether the light reflected by the reflective strip will interfere with the light;

[0010] If the evaluation result shows that the light interference, the correlation analysis of the light amount of the aperture and the image pixel value corresponding to the imaging interference area in multiple simulation tests is performed to evaluate whether the correlation is close;

[0011] If the evaluation result shows that the correlation is close, the stability analysis of the imaging interference area is performed in the time dimension to determine whether the imaging interference area appears stably;

[0012] According to the judgment result of the stability of the imaging interference area, the light adjustment amount of the aperture is determined, and the aperture of the reflected interference area is adjusted.

[0013] As a further scheme of the present application, the evaluation of whether the light reflected by the reflective strip will interfere with the light is performed to obtain an evaluation result, and the process is as follows:

[0014] The simulation test period is set and divided into several simulation test periods, and the image pixels of the imaging evaluation area in the corresponding simulation test period are obtained;

[0015] If the image pixel value meets the set requirement, it indicates that the light interference occurs, and the imaging evaluation area is recorded as the imaging interference area.

[0016] As a further scheme of the present application, the correlation analysis process is as follows:

[0017] The light amount of the aperture is obtained, and the simulation test order of the imaging interference area is sorted to obtain the aperture light sequence;

[0018] The image pixel value is sorted according to the simulation test order of the imaging interference area to obtain the overexposed pixel sequence;

[0019] The image pixel value and the light amount of the aperture are combined in sequence in the overexposed pixel sequence and the aperture light sequence, and input into the convolution layer of the convolution neural network to obtain the convolution analysis layer and the interference difference ratio corresponding to the convolution layer;

[0020] The interference difference ratio corresponding to all convolution analysis layers is taken as a plurality of input items, and the degree correlation value is output by the Manhattan distance method;

[0021] If the degree correlation value is less than or equal to the degree correlation threshold, it is displayed that the correlation is close.

[0022] As a further scheme of the present application, the stability analysis process is as follows:

[0023] In any simulation test process, the simulation test period corresponding to each imaging interference area is extracted and arranged according to the simulation test timing to obtain an imaging interference sequence;

[0024] An imaging interference area corresponding to any one simulation test period in the simulation test process is extracted as a target analysis period;

[0025] If the imaging interference area appears in the target analysis period in multiple simulation test processes, the target analysis period is regarded as a stable interference period, the total number of stable interference periods in all simulation test processes is counted, and a stable interference number ratio is calculated by ratio calculation of the total number of simulation test periods in all simulation test processes, and output.

[0026] As a further scheme of the present application, the imaging interference area identified in the simulation test is extracted for stable analysis, and the process of obtaining an overexposure stability value is as follows:

[0027] The imaging interference area in the stable interference period is extracted, and the corresponding image pixel value is obtained, and the difference value is processed with the image pixel threshold value, and the overexposure degree value is output.

[0028] The overexposure degree value corresponding to the imaging interference area in each stable interference period is input into the Manhattan distance formula, and an overexposure stability value is output.

[0029] As a further scheme of the present application, the process of evaluating whether the imaging interference area appears stably is as follows:

[0030] The stable interference number ratio and the overexposure stability value are ratio calculated, and an imaging interference stability value is output.

[0031] If the imaging interference stability value is greater than or equal to an imaging interference stability threshold value, an overexposure stability signal is generated.

[0032] If the imaging interference stability value is less than the imaging interference stability threshold value, an overexposure fluctuation signal is generated.

[0033] As a further scheme of the present application, if the overexposure stability signal is generated, the light adjustment amount is obtained, and the process is as follows:

[0034] If the overexposure stability signal is generated, the corresponding imaging interference area is identified as a stable interference adjustment area.

[0035] The image pixel value of the stable interference adjustment area after each simulation test is obtained, and after mean value processing, the stable overexposure pixel value is obtained by difference with the image pixel threshold value.

[0036] The stable overexposure pixel value and the degree correlation value are ratio calculated, and the light adjustment amount is output.

[0037] As a further aspect of the present application, if the overexposure fluctuation signal is generated, the light adjustment amount is obtained, and the process is as follows

[0038] If the overexposure fluctuation signal is generated, the corresponding imaging interference area is identified as the fluctuation interference adjustment area.

[0039] The image pixel value of the fluctuation interference adjustment area after each simulation test is obtained, a size comparison is performed, the maximum image pixel value is extracted, and the difference between the maximum image pixel value and the image pixel threshold value is obtained to obtain the overexposure pixel value of the fluctuation.

[0040] The overexposure pixel value of the fluctuation is calculated by ratio calculation with the degree correlation value, and the light adjustment amount is output.

[0041] As a further aspect of the present application, the light adjustment amount is adjusted in the reflection interference area, and the process is as follows:

[0042] The light adjustment amount and the current aperture light amount EV corresponding to the stable interference adjustment area are summed to obtain the adjusted current light amount.

[0043] The light adjustment amount and the current aperture light amount EV corresponding to the fluctuation interference adjustment area are summed to obtain the adjusted current light amount.

[0044] In a second aspect, a performance evaluation system of a vehicle-mounted optical lens comprises:

[0045] The interference evaluation unit: under the simulation of the night reversing into the garage environment, the vehicle-mounted reversing lens is simulated and tested to evaluate whether the vehicle-mounted reversing lens is disturbed by the reflected light of the reflection strip, and an evaluation result is obtained.

[0046] The correlation analysis unit: if the light interference signal is generated, the aperture light amount is obtained, and the image pixel value corresponding to the imaging interference area extracted in the multiple simulation tests is combined for correlation degree analysis to evaluate whether the correlation degree is close.

[0047] The stable evaluation unit: if the correlation degree high signal is generated, the vehicle-mounted reversing lens is simulated and tested multiple times, and the imaging interference area identified in the simulation test is extracted for stability analysis to evaluate whether the imaging interference area appears stably.

[0048] The adjustment optimization unit: according to whether the imaging interference area appears stably, the light adjustment amount is obtained, and the light adjustment amount in the reflection interference area is adjusted.

[0049] The beneficial effects of the present application are as follows:

[0050] 1、The present application simulates the test of the vehicle-mounted reversing mirror under the condition of reversing into the garage at night, obtains the image pixel value of the imaging evaluation area in each simulation test period, and compares it with the image pixel threshold value to identify the imaging interference area or the imaging non-interference area, so that the imaging interference area or the imaging non-interference area is identified, and the problem of auxiliary reversing blind area caused by the imaging of the vehicle-mounted reversing mirror being affected by overexposure during the reversing into the garage is clearly identified;

[0051] 2、If the light interference signal is generated, the image pixel value corresponding to the imaging interference area is extracted from multiple simulation tests, and the correlation degree analysis is performed with the obtained aperture light amount, to obtain a degree correlation value, which reflects the dynamic coupling degree between the change of the aperture light amount and the change of the imaging pixel, which is helpful for positioning the weak point of the optical performance of the vehicle-mounted mirror, and further identifies that the light amount is the main factor causing the overexposure phenomenon, if the correlation degree is high, multiple simulation tests are performed on the vehicle-mounted reversing mirror, and the imaging interference area identified in the simulation test is extracted, and stability analysis is performed, to obtain an imaging interference stability value, which reflects the stability of the vehicle-mounted reversing mirror in the night underground garage reversing scene under the interference of the reflection light of the reflection strip and the overexposure degree, which is helpful for targeted static optimization of the stage where overexposure phenomenon is prone to occur, or targeted dynamic optimization of the stage where overexposure phenomenon occurs;

[0052] 3、If the overexposure stability signal is generated, the light adjustment amount is obtained, the aperture degree of the reflection interference area is adjusted, and the correlation between the stability degree of overexposure and the aperture light amount and the imaging pixel value is obtained, so that in the subsequent actual reversing into the garage process, the vehicle-mounted mirror can better cope with the influence of the reflection light of the reflection strip, maintain the stability of imaging, and reduce the visual field blind area caused by overexposure, if the overexposure fluctuation signal is generated, the light adjustment amount is obtained, the aperture degree of the reflection interference area is adjusted, which is helpful for finding a relatively reasonable light adjustment scheme in the case that the simulation test results are greatly different, so that the imaging stability of the vehicle-mounted mirror can be improved to a certain extent when facing the overexposure fluctuation, and the imaging interference area in different stages can be adjusted according to the overexposure stability signal and the overexposure fluctuation signal respectively, to better adapt to the needs of different reversing stages, ensure the safety of the reversing process, and also can clearly identify the aperture adjustment accuracy of the mirror under different illumination conditions, and point out the direction for improving the performance of the mirror. BRIEF DESCRIPTION OF DRAWINGS

[0053] The present application will be further described below with reference to the accompanying drawings.

[0054] Figure 1 is a step flow chart of a performance evaluation method of a vehicle-mounted optical mirror of the present application;

[0055] Figure 2 is a schematic view of a performance evaluation system of a vehicle-mounted optical lens. DETAILED DESCRIPTION

[0056] In order to make the technical means, creative features, purposes and effects of the present application easy to understand, the present application will be further described below in conjunction with specific embodiments.

[0057] Embodiment 1

[0058] Please refer to Figure 1 The performance evaluation method of the vehicle-mounted optical lens according to the embodiment of the present application, when the vehicle is reversing into the garage in the underground garage at night, since the partial reflective strips are pasted on the inner wall columns of the underground garage, when the vehicle-mounted optical lens is used to assist the reversing into the garage, the light reflected by the reflective strips after being irradiated by the vehicle tail light can easily cause overexposure in the partial area of the reversing image assisted by the vehicle-mounted optical lens, and the problem of visual field blind area of the vehicle owner when reversing into the garage, including the following steps:

[0059] Step 1: Under the simulated night reversing into garage environment, the vehicle-mounted reversing lens is simulated and tested to evaluate whether the vehicle-mounted reversing lens will be disturbed by the light reflected by the reflective strips;

[0060] In some embodiments, the simulation test period is set, and the simulation test period is divided into a plurality of simulation test periods;

[0061] It should be noted that the simulation test period is the reversing period corresponding to the entire process of the vehicle reversing into the garage in the underground garage at night;

[0062] The reversing image formed by using the vehicle-mounted reversing lens is obtained, and the reversing assistance area is extracted as the imaging evaluation area;

[0063] As can be understood by those skilled in the art, the imaging evaluation area will change in position as the vehicle position changes during the process of reversing the vehicle into the garage, so the imaging evaluation area in each simulation test period is not fixed;

[0064] The image pixel value of the imaging evaluation area in the corresponding simulation test period is obtained, if the image pixel value is greater than the image pixel threshold value, it means that the analyzed imaging evaluation area is disturbed to a greater extent by the light reflected by the reflective strips, overexposure occurs, and is recorded as the imaging disturbance area;

[0065] If the image pixel value is less than or equal to the image pixel threshold value, it indicates that the analyzed imaging evaluation area is less disturbed by the reflected light of the reflection strip, and no overexposure phenomenon occurs, and is recorded as an imaging non-disturbance area.

[0066] In detail, the imaging evaluation area in each simulation test period is different, but there is only one imaging evaluation area corresponding to each simulation test period, and the image pixel threshold value corresponding to each imaging evaluation area is a fixed value set by a person skilled in the art.

[0067] The specific scheme of the embodiment is: under the simulation of night reversing into a warehouse environment, the vehicle-mounted reversing lens is simulated and tested to obtain the image pixel value of the imaging evaluation area in each simulation test period, and compared with the image pixel threshold value to identify the imaging disturbance area or the imaging non-disturbance area, so that the imaging disturbance area or the imaging non-disturbance area is identified, and the problem that the auxiliary reversing blind area occurs due to the overexposure of the vehicle-mounted reversing lens imaging when the vehicle reverses into a warehouse is clearly identified.

[0068] Embodiment 2

[0069] Please refer to Figure 1 The performance evaluation method of the vehicle-mounted optical lens according to the embodiment of the application includes the following steps:

[0070] Step 2: If the evaluation result shows light interference, the correlation degree of the light amount of the aperture and the image pixel value corresponding to the imaging disturbance area in multiple simulation tests is analyzed to evaluate whether the correlation degree is close;

[0071] In some embodiments, the image pixel values are sorted according to the simulation test times corresponding to the imaging disturbance area to obtain an overexposed pixel sequence;

[0072] The lens focal length f, the current aperture hole diameter D and the overexposure time T corresponding to the vehicle-mounted lens are obtained, and the light amount is calculated according to the formula: The light amount of the aperture EV is calculated;

[0073] The light amount of the aperture is sorted according to the simulation test times corresponding to the imaging disturbance area to obtain a light amount sequence of the aperture;

[0074] The parameters in the overexposed pixel sequence and the light amount sequence of the aperture are de-dimensioned respectively;

[0075] An image pixel value corresponding to the imaging disturbance area and the light amount of the aperture are extracted from the overexposed pixel sequence and the light amount sequence of the aperture respectively and input into the convolution layer of the convolution neural network to obtain a convolution analysis layer;

[0076] Sort all convolution analysis layers according to the corresponding imaging interference area in the simulation test number, and build the associated convolution neural network;

[0077] Respectively obtain the difference between the light amount of the adjacent sorting convolution analysis layer and the difference between the image pixel value, get the light amount difference and the pixel difference value, and perform ratio calculation to obtain the interference difference ratio;

[0078] The interference difference ratio corresponding to all convolution analysis layers is taken as a plurality of input items, and the Manhattan distance method is used to output the degree correlation value;

[0079] Specifically, the Manhattan distance formula is: The degree correlation value D is calculated c , wherein m represents the total number of interference difference ratios, GR i represents the i-th interference difference ratio, GR i-1 represents the i-1-th interference difference ratio;

[0080] It should be noted that the role of using the Manhattan distance formula to obtain the degree correlation value is to calculate the ratio of the light amount difference and the pixel value difference in the adjacent test (interference difference ratio), and apply the Manhattan distance formula to highlight the influence of the small change of the light amount on the overexposure degree, which is conducive to reducing the overexposure degree in the imaging interference area by adjusting the light amount in the later stage;

[0081] It can be understood that the meaning represented by the degree correlation value is that by quantifying the synergy of (change of aperture light amount) and (change of imaging pixel value) in adjacent tests, the dynamic coupling tightness of the two is reflected, which helps to locate the spatial weak point of the lens optical performance (light amount leading to overexposure degree), and further clarifies that the light amount is the main factor leading to the overexposure phenomenon, which is conducive to directly reducing the overexposure problem in the imaging interference area by adjusting the light amount in the aperture in the later stage;

[0082] Compare the degree correlation value with the degree correlation threshold, the process is as follows:

[0083] If the degree correlation value is greater than the degree correlation threshold, it means that the correlation degree between the change of the aperture light amount and the change of the imaging pixel value is low, and the correlation is tight;

[0084] If the degree correlation value is less than or equal to the degree correlation threshold, it means that the correlation degree between the change of the aperture light amount and the change of the imaging pixel value is high, and the correlation is not tight;

[0085] Step three: if the evaluation result shows that the correlation is tight, perform stability analysis on the imaging interference area in the time dimension to determine whether the imaging interference area appears stably;

[0086] In some embodiments, the imaging interference regions identified in multiple simulation test processes are integrated and summarized as follows:

[0087] In any simulation test process, the simulation test period corresponding to each imaging interference region is extracted, and the simulation test period is sorted according to the time sequence in the simulation test period, to obtain an imaging interference sequence;

[0088] For example, if there are 5 simulation test periods in the simulation test period, A, B, C, and D simulation test periods, wherein the A simulation test period is the initial alignment stage, the B simulation test period is the reverse cut-in period, the C simulation test period is the trajectory correction stage, and the D simulation test period is the parking stage;

[0089] It should be noted that the initial alignment stage exists in the wall reflection strip scene, the reverse cut-in stage exists in the warehouse corner reflection strip scene, the trajectory correction stage exists in the two-side wall reflection strip scene, and the parking stage exists in the rear wall reflection strip scene;

[0090] If there are imaging interference regions in the B simulation test period and the C simulation test period, it means that the imaging evaluation region in the reverse parking stage and the trajectory correction stage is an imaging interference region;

[0091] Extract the simulation test period corresponding to any imaging interference region in the simulation test process as a target analysis period;

[0092] If the target analysis period appears imaging interference region in other simulation test processes, it means that the stability of the imaging interference region in the target analysis period is high, and the target analysis period is taken as a stable interference period;

[0093] If the target analysis period does not appear imaging interference region in other simulation test processes, it means that the stability of the imaging interference region in the target analysis period is low, and the target analysis period is taken as a fluctuation interference period;

[0094] The total number of stable interference periods in all simulation test processes is counted, and the ratio is calculated with the total number of simulation test periods in all simulation test processes, to output the stable interference number ratio;

[0095] The imaging interference region in the stable interference period is extracted, and the corresponding image pixel value is obtained, which is processed by difference with the image pixel threshold, to output the overexposure degree value;

[0096] The overexposure degree value corresponding to the imaging interference region in each stable interference period is input into the Manhattan distance formula, to output the overexposure stable value D w ;

[0097] Specifically, wherein n represents the total number of simulation test periods in which the stable interference period exists, GB j-1 represents the overexposure degree value in the j-1th simulation test period in which the stable interference period exists, GB j represents the overexposure degree value in the jth simulation test period in which the stable interference period exists;

[0098] The stable interference number ratio is compared with the overexposure stability value to obtain an imaging interference stability value.

[0099] It can be understood that the imaging interference stability value represents the stability of the vehicle reversing mirror lens in the night underground garage reversing into the garage scene, which is interfered by the reflection light of the reflection strip and the overexposure degree. On the one hand, the stable interference number ratio reflects the stability of the stage in which overexposure phenomenon occurs in the whole process of reversing into the garage, and on the other hand, the overexposure stability value reflects the stability of the overexposure degree in the stage in which overexposure phenomenon occurs each time, so as to identify the stage in which overexposure phenomenon is most likely to occur, which is helpful to optimize the stage in which overexposure phenomenon is most likely to occur statically or dynamically.

[0100] The imaging interference stability value is compared with an imaging interference stability threshold value, and the process is as follows:

[0101] If the imaging interference stability value is greater than or equal to the imaging interference stability threshold value, it means that the consistency of the stage corresponding to the imaging interference area is high and the difference between the overexposure degrees is small in multiple simulation tests, and an overexposure stability signal is generated.

[0102] If the imaging interference stability value is less than the imaging interference stability threshold value, it means that the consistency of the stage corresponding to the imaging interference area is low and the difference between the overexposure degrees is large in multiple simulation tests, and an overexposure fluctuation signal is generated.

[0103] The specific scheme of the embodiment is: if the light interference signal is generated, the image pixel value corresponding to the imaging interference area is extracted from multiple simulation tests, and correlation degree analysis is performed on the obtained light amount of the aperture, to obtain a degree correlation value, which reflects the dynamic coupling closeness between the light amount change of the aperture and the imaging pixel change, which is helpful for positioning the weak point of the optical performance of the vehicle-mounted lens, and further clarifies that the light amount is the main factor causing the overexposure phenomenon, if the correlation degree is high, multiple simulation tests are performed on the vehicle-mounted reversing lens, and the imaging interference area identified in the simulation test is extracted, stability analysis is performed, and an imaging interference stability value is obtained, which reflects the stability of the vehicle-mounted reversing lens in the night underground garage reversing into the garage scene, which is disturbed by the reflection light of the reflection strip and the overexposure degree, which is helpful for targeted static optimization of the stage where the overexposure phenomenon is prone to occur, or targeted dynamic optimization of the stage where the overexposure phenomenon occurs.

[0104] Embodiment 3

[0105] Referring to Figure 1 The performance evaluation method of the vehicle-mounted optical lens provided by the embodiment of the application comprises the following steps:

[0106] Step four: if the overexposure stability signal is generated, the light adjustment amount is obtained, the light adjustment amount of the reflection interference area is adjusted, if the overexposure fluctuation signal is generated, the light adjustment amount is obtained, and the light adjustment amount of the reflection interference area is adjusted;

[0107] In some embodiments, if the overexposure stability signal is generated, the corresponding imaging interference area is identified as a stable interference adjustment area;

[0108] The image pixel value of the stable interference adjustment area after each simulation test is obtained, and after mean value processing, the stable overexposure pixel value is obtained by subtracting the image pixel threshold value;

[0109] The stable overexposure pixel value and the degree correlation value are subjected to ratio calculation, and the light adjustment amount is outputted;

[0110] The light adjustment amount and the current light amount EV of the stable interference adjustment area corresponding to the current aperture are summed, to obtain the adjusted current light amount;

[0111] If the overexposure fluctuation signal is generated, the corresponding imaging interference area is identified as a fluctuation interference adjustment area;

[0112] The image pixel value of the fluctuation interference adjustment area after each simulation test is obtained, and the maximum image pixel value is extracted by size comparison, and the fluctuation overexposure pixel value is obtained by subtracting the image pixel threshold value;

[0113] The fluctuation overexposure pixel value is calculated by ratio with the degree correlation value, and an input light adjustment amount is outputted;

[0114] The input light adjustment amount is summed with a current aperture input light amount EV corresponding to the fluctuation interference adjustment region, to obtain an adjusted current input light amount;

[0115] The specific scheme of the embodiment is as follows: if the overexposure stability signal is generated, the input light adjustment amount is obtained, the aperture adjustment in the reflection interference region is performed, and according to the stability degree of overexposure and the correlation between the aperture input light amount and the imaging pixel value, the vehicle-mounted lens can better cope with the influence of the reflection strip reflection light in the subsequent actual reversing process in the stable stage where overexposure easily occurs, the stability of imaging is maintained, and the visual field blind area caused by overexposure is reduced; if the overexposure fluctuation signal is generated, the input light adjustment amount is obtained, the aperture adjustment in the reflection interference region is performed, which is helpful to find a relatively reasonable input light adjustment scheme in the case that the simulation test results are greatly different, so that the imaging stability of the vehicle-mounted lens can be improved to a certain extent when facing overexposure fluctuation, and then the lens can not only adjust the imaging interference region in different stages according to the overexposure stability signal and the overexposure fluctuation signal respectively, but also better adapt to the needs of different reversing stages, so as to ensure the safety of the reversing process, and the aperture adjustment precision of the lens under different illumination conditions is also indicated, which points out the direction for improving the performance of the lens.

[0116] Embodiment 4

[0117] Please refer to Figure 2 The performance evaluation system of the vehicle-mounted optical lens according to the embodiment of the application comprises the following:

[0118] The interference evaluation unit: in the simulation of the night reversing warehouse environment, the vehicle-mounted reversing lens is simulated and tested to evaluate whether the vehicle-mounted reversing lens is disturbed by the light reflected by the reflection strip;

[0119] The correlation analysis unit: if the evaluation result shows that the light is disturbed, the correlation degree of the aperture input light amount and the image pixel value corresponding to the imaging interference region in multiple simulation tests is analyzed to evaluate whether the correlation degree is close;

[0120] The stability evaluation unit: the stability of the imaging interference region is analyzed in the time dimension to determine whether the imaging interference region appears stably;

[0121] The adjustment optimization unit: according to the judgment result of the stability of the imaging interference region, the aperture input light adjustment amount is determined, and the aperture adjustment in the reflection interference region is performed.

[0122] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the performance of an automotive optical lens, characterized in that: The application relates to a method for evaluating whether a vehicle-mounted reversing mirror is interfered by light reflected by a reflective strip during night reversing into a garage. The method comprises the following steps: In a simulated night reversing into a garage environment, a simulation test is conducted on the vehicle-mounted reversing mirror to evaluate whether the vehicle-mounted reversing mirror is interfered by light reflected by the reflective strip; If the evaluation result shows that the light is interfered, the correlation degree of the light quantity of the diaphragm and the image pixel value of the imaging interference area in multiple simulation tests is analyzed to evaluate whether the correlation is close; If the evaluation result shows that the correlation is close, the stability of the imaging interference area is analyzed in the time dimension to determine whether the imaging interference area appears stably; 2. The method of claim 1, wherein: According to the judgment result of whether the imaging interference area appears stably, the light adjustment quantity of the diaphragm is determined to adjust the diaphragm of the reflective interference area. The evaluation process of whether the vehicle-mounted reversing mirror is interfered by light reflected by the reflective strip is as follows: The simulation test period is set and divided into several simulation test periods, and the image pixels of the imaging evaluation area in the corresponding simulation test period are obtained; 3. The method of claim 1, wherein: If the image pixel value meets the set requirement, it indicates that the light is interfered, and the imaging evaluation area is recorded as the imaging interference area. The correlation analysis process is as follows: The light quantity of the diaphragm is obtained, and the light quantity of the diaphragm is sorted according to the simulation test order of the imaging interference area to obtain a diaphragm light sequence; The image pixel value is sorted according to the simulation test order of the imaging interference area to obtain an overexposure pixel sequence; The image pixel value and the light quantity of the diaphragm are combined in the overexposure pixel sequence and the diaphragm light sequence respectively, and are input into the convolution layer of the convolution neural network to obtain a convolution analysis layer, and the interference difference ratio corresponding to the convolution layer is obtained; The interference difference ratio corresponding to all convolution analysis layers is taken as multiple input items, and the degree correlation value is output by the Manhattan distance method; 4. The method of claim 1, wherein: If the degree correlation value is less than or equal to the degree correlation threshold, the correlation is close. The stability analysis process is as follows: In any simulation test process, the simulation test period corresponding to each imaging interference area is extracted, and the simulation test time sequence is arranged to obtain an imaging interference sequence; The simulation test period corresponding to any one of the imaging interference areas appearing in the simulation test process is extracted as a target analysis period; 5. The method of claim 1, wherein: If the imaging interference area appears in the target analysis period in multiple simulation tests, the target analysis period is taken as a stable interference period, the total number of stable interference periods in all simulation tests is counted, and the ratio calculation is carried out between the total number of simulation test periods in all simulation tests, and the stable interference number ratio is output. The process of extracting the imaging interference area identified in the simulation test for stability analysis and obtaining the overexposure stability value is as follows: The imaging interference area in the stable interference period is extracted, and the corresponding image pixel value is obtained, and the difference value processing is carried out between the image pixel value and the image pixel threshold to output the overexposure degree value; 6. The method of claim 1, wherein: The overexposure degree value corresponding to the imaging interference area in each stable interference period is input into the Manhattan distance formula to output the overexposure stability value. The process of evaluating whether the imaging interference area appears stably is as follows: The stable interference number ratio and the overexposure stability value are ratio calculated to output the imaging interference stability value; If the imaging interference stability value is greater than or equal to the imaging interference stability threshold, an overexposure stability signal is generated. If the imaging interference stability value is less than the imaging interference stability threshold value, a overexposure fluctuation signal is generated.

7. The method of claim 1, wherein: If the overexposure stability signal is generated, the light adjustment amount is obtained, and the process is as follows: If the overexposure stability signal is generated, the corresponding imaging interference region is identified as a stable interference adjustment region. The image pixel value of the stable interference adjustment region after each simulation test is obtained, and after mean value processing, the difference with the image pixel threshold value is obtained to obtain the stable overexposure pixel value. The stable overexposure pixel value and the degree correlation value are calculated by ratio, and the light adjustment amount is output.

8. The performance evaluation method for a vehicle-mounted optical lens according to claim 1, characterized in that: If the overexposure fluctuation signal is generated, the light adjustment amount is obtained, and the process is as follows If the overexposure fluctuation signal is generated, the corresponding imaging interference region is identified as a fluctuation interference adjustment region. The image pixel value of the fluctuation interference adjustment region after each simulation test is obtained, and the maximum value is extracted by size comparison, and the difference with the image pixel threshold value is obtained to obtain the fluctuation overexposure pixel value. The fluctuation overexposure pixel value and the degree correlation value are calculated by ratio, and the light adjustment amount is output.

9. The method of claim 1, wherein: The process of adjusting the light adjustment amount of the reflection interference region is as follows: The light adjustment amount and the current aperture light amount EV corresponding to the stable interference adjustment region are summed to obtain the adjusted current light amount. The light adjustment amount and the current aperture light amount EV corresponding to the fluctuation interference adjustment region are summed to obtain the adjusted current light amount.

10. A system for evaluating performance of a vehicle-mounted optical lens, the system comprising: It includes: The interference evaluation unit: under the simulation of night reversing into the garage environment, the vehicle-mounted reversing lens is simulated and tested to evaluate whether the vehicle-mounted reversing lens will be disturbed by the reflected light after being reflected by the reflection interference region. The correlation analysis unit: if the evaluation result shows that the light is disturbed, the correlation degree of the aperture light amount and the image pixel value corresponding to the imaging interference region in multiple simulation tests is analyzed to evaluate whether the correlation degree is close. The stability evaluation unit: the stability of the imaging interference region is analyzed in the time dimension to determine whether the imaging interference region appears stably. The adjustment optimization unit: according to the judgment result of the stability of the imaging interference region, the light adjustment amount of the aperture is determined, and the light adjustment amount of the reflection interference region is adjusted.

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