Intelligent dynamic anti-dazzle method and device, equipment and storage medium

Abstract

The invention discloses an intelligent dynamic anti-dazzle method, device and equipment and a storage medium, and relates to the technical field of automobile safety, and the intelligent dynamic anti-dazzle method comprises the following steps: obtaining initial light source data and a sight line deviation angle; determining a light source evaluation state based on the initial light source data and the sight line deviation angle; and when the light source evaluation state is that the glare risk exists, filtering light through a front windshield to complete glare control. Glare caused by strong light sources such as a high beam can be automatically recognized and reduced, the driving safety at night and under complex illumination is improved, the light transmittance of the front windshield is monitored and adjusted in real time, the influence of strong light is reduced, meanwhile, the surrounding environment of the vehicle is displayed through the head-up display, the driving safety when the sight line is poor is guaranteed, and the driving experience is improved.

Description

Technical Field

[0001] The present application relates to the field of automobile safety technology, and in particular to an intelligent dynamic anti-glare method, device, equipment and storage medium. Background Art

[0002] When driving at night or in low-light conditions, drivers often face glare from the high beams of oncoming vehicles, which not only affects vision and increases driving risks, but may also cause short-term or long-term damage to the eyes. In addition, strong sunlight or road glare in rainy days can also cause similar problems, seriously affecting driving safety.

[0003] At present, commonly used anti-glare measures include anti-glare lenses and active adjustment of headlight height. Anti-glare lenses reduce glare by reducing the overall brightness of the field of vision, but this method may cause the field of vision to darken and affect the perception of road conditions. Active adjustment of headlight height technology has limitations in terms of reaction speed and adaptability to different environments, especially in completely dark or no street lights at night, the effect is not ideal.

[0004] These technologies are insufficient in dynamically adapting to different light sources and light intensities, cannot effectively distinguish the location of light sources, and are limited in effectiveness in complex environments. Therefore, how to achieve intelligent response to glare has become an urgent problem to be solved. Summary of the invention

[0005] The purpose of this application is to provide an intelligent dynamic anti-glare method, device, equipment and storage medium, aiming to solve the technical problem of how to achieve intelligent response to glare.

[0006] To achieve the above objectives, the present application proposes an intelligent dynamic anti-glare method, which includes:

[0007] Get initial light source data and sight offset angle;

[0008] Determining a light source evaluation state based on the initial light source data and the sight line deviation angle;

[0009] When the light source is evaluated to have a glare risk, the light is filtered through the front windshield to control the glare.

[0010] In one embodiment, determining a light source evaluation state based on the initial light source data and the sight line deviation angle includes:

[0011] Performing denoising and normalization processing on the initial light source data to obtain target light source data;

[0012] The light source evaluation state is obtained according to the target light source data and the target light source state evaluation model.

[0013] In one embodiment, before obtaining the light source evaluation state according to the target light source data and the target light source state evaluation model, the method further includes:

[0014] Obtaining an initial light source state assessment model, camera image data, light intensity data, user sight data, and vehicle driving data;

[0015] Determining a user's sight line deviation angle based on the user's sight line data and the vehicle driving data;

[0016] Obtaining a light deviation angle based on the user's sight line deviation angle and the camera image data;

[0017] Obtaining a polarization weight value through the initial light source state evaluation model, the light deviation angle and the light intensity data;

[0018] The initial light source state assessment model is adjusted according to the polarization weight value to obtain a target light source state assessment model.

[0019] In one embodiment, obtaining the light source evaluation state according to the target light source data and the target light source state evaluation model includes:

[0020] Get the preset angle threshold;

[0021] Determining the light incident angle according to the target light source data and the target light source state evaluation model;

[0022] Obtaining a glare impact angle based on the light incident angle and the sight line deviation angle;

[0023] When the glare impact angle is less than the preset angle threshold, the light source evaluation state is obtained by acquiring the light intensity.

[0024] In one embodiment, when the glare impact angle is less than the preset angle threshold, obtaining the light source evaluation state by acquiring the light intensity includes:

[0025] Obtaining a preset glare light intensity threshold and light intensity;

[0026] If the light intensity is greater than the preset glare light intensity threshold, it is determined that the light source evaluation state is that there is a glare risk.

[0027] In one embodiment, when the light source is evaluated to have a glare risk, the glare is controlled by filtering the light through the front windshield, including:

[0028] Obtaining the light source position, light intensity and relative moving speed of the light source through the initial light source data;

[0029] Obtaining a target light transmittance based on a light source control algorithm through the light source position, the light intensity and the relative moving speed of the light source;

[0030] Glare control is achieved through the front windshield and the target light transmittance.

[0031] In one embodiment, when the light source is evaluated to have a glare risk, the light is filtered through the front windshield to control the glare, and the method further includes:

[0032] When the light intensity is greater than a first preset light intensity threshold or the light intensity is less than a second preset light intensity threshold, acquiring lane line data and target object movement data;

[0033] Integrate the lane line data and the target object movement data to obtain head-up display data;

[0034] Sending a request display signal so that the central console can feedback the display signal;

[0035] The head-up display data is sent according to the display signal to complete the display of environmental information.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes an intelligent dynamic anti-glare device, which includes:

[0037] An acquisition module is used to obtain initial light source data and sight offset angle;

[0038] A determination module, configured to determine a light source evaluation state based on the initial light source data and the sight line deviation angle;

[0039] The completion module is used to filter the light through the front windshield to control the glare when the light source is evaluated to have a glare risk.

[0040] In addition, to achieve the above-mentioned objectives, the present application also proposes an intelligent dynamic anti-glare device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the intelligent dynamic anti-glare method described above.

[0041] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the intelligent dynamic anti-glare method described above are implemented.

[0042] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the intelligent dynamic anti-glare method described above are implemented.

[0043] One or more technical solutions proposed in this application have at least the following technical effects:

[0044] This application first obtains the initial light source data and the line of sight deviation angle to accurately capture the position and intensity of the light source and the deviation of the driver's line of sight. Then, based on these data, the light source status is evaluated and determined to determine whether there is a glare risk. Finally, when the evaluation results show that there is a glare risk, the transmittance of the front windshield will be automatically adjusted to filter out harmful light, effectively control glare, and protect the driver's line of sight from interference. This application can make dynamic adjustments through precise data collection, evaluation and response to ensure that the driver is provided with the best line of sight protection under various lighting conditions to cope with glare problems under various driving conditions, thereby significantly improving driving safety and comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0047] Figure 1 A schematic diagram of a process flow provided for the first embodiment of the intelligent dynamic anti-glare method of the present application;

[0048] Figure 2 A schematic diagram of a flow chart provided for the second embodiment of the intelligent dynamic anti-glare method of the present application;

[0049] Figure 3 This is a schematic diagram of the module structure of the intelligent dynamic anti-glare device according to an embodiment of the present application;

[0050] Figure 4 Schematic diagram of the device structure of the hardware operating environment involved in the intelligent dynamic anti-glare method in the embodiment of the present application.

[0051] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] When driving at night or in low-light conditions, drivers often face glare problems caused by the high beams of oncoming vehicles, which not only affects vision and increases driving risks, but may also cause short-term or long-term damage to the eyes. In addition, strong sunlight or road reflections on rainy days can also cause similar problems, seriously affecting driving safety. At present, commonly used anti-glare measures include anti-glare lenses and active adjustment of headlight height. Anti-glare lenses reduce glare by lowering the overall brightness of the field of vision, but this method may cause the field of vision to darken and affect the perception of road conditions. The active adjustment of headlight height technology has limitations in response speed and adaptability to different environments, especially in completely dark or no street lights at night, the effect is not ideal.

[0055] The main solution of the embodiment of the present application is: This embodiment first obtains the initial light source data and the line of sight deviation angle to accurately capture the position and intensity of the light source and the deviation of the driver's line of sight. Then, based on these data, the light source status is evaluated and determined to determine whether there is a glare risk. Finally, when the evaluation results show that there is a glare risk, the transmittance of the front windshield will be automatically adjusted to filter out harmful light, effectively control glare, and protect the driver's line of sight from interference. This embodiment can make dynamic adjustments through precise data collection, evaluation and response to ensure that the driver is provided with the best line of sight protection under various lighting conditions to cope with glare problems under various driving conditions, thereby significantly improving driving safety and comfort.

[0056] It should be noted that the execution subject of the embodiment of the present application may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, an electronic control unit, etc. The following takes the electronic control unit as an example to illustrate this embodiment and the following embodiments.

[0057] Based on this, the present application embodiment provides an intelligent dynamic anti-glare method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the intelligent dynamic anti-glare method of the present application.

[0058] In this embodiment, the intelligent dynamic anti-glare method includes steps S10 to S30:

[0059] Step S10, obtaining initial light source data and sight line deviation angle;

[0060] It should be noted that the initial light source data can be basic information about the light source collected before starting to assess the glare risk, including but not limited to the position, intensity, color, size, and relative moving speed of the light source relative to the vehicle. These data can be obtained through sensors carried by the vehicle, such as light sensors, front-view cameras and other devices, and are used to identify and analyze the characteristics of the light source. The line of sight deviation angle can be the angle between the driver's line of sight and the front of the vehicle (usually the horizontal forward direction). Measuring the line of sight deviation angle can help the system understand the driver's line of sight direction and how the line of sight changes in different situations, such as turning and avoiding obstacles. This angle is crucial to assessing the impact of glare on the driver's line of sight because it determines whether the light will directly enter the driver's eyes, causing glare. Combining these two parameters, the system can assess whether the light will cause glare to the driver, and take appropriate measures to reduce or eliminate the impact of glare.

[0061] It can be understood that by utilizing sensors and cameras on the vehicle to collect basic information about the light source, such as location, intensity and moving speed, while measuring the angle between the driver's line of sight and the front of the vehicle, the system can accurately assess the glare risk and take corresponding control measures.

[0062] Step S20, determining a light source evaluation state based on the initial light source data and the sight line deviation angle;

[0063] It should be noted that the light source evaluation status can be an evaluation result of the impact of the light source on the driver's line of sight determined based on the initial light source data and the line of sight deviation angle. Specifically, it can include but is not limited to light source characteristic analysis. The initial light source data provides information about the position, intensity, color and moving speed of the light source, which helps analyze the characteristics of the light source; line of sight impact evaluation, the line of sight deviation angle refers to the angle between the driver's line of sight and the front of the vehicle. This angle is used to evaluate whether the light will directly enter the driver's eyes and cause glare; glare risk judgment, combined with light source data and line of sight deviation angle, can determine whether there is a glare risk, that is, evaluate whether the light may interfere with the driver's line of sight. Combining this information, the light source evaluation status can tell us whether the current lighting environment poses a threat to driving safety, so as to determine whether measures need to be taken to reduce or eliminate the impact of glare. This evaluation is a key step in the intelligent dynamic anti-glare system, which directly determines whether the system needs to intervene to protect the driver's line of sight.

[0064] It can be understood that by utilizing the collected information such as the light source position, intensity, and the angle between the driver's line of sight and the front of the vehicle, a comprehensive analysis can be conducted to determine whether the current light source may cause glare to the driver, thereby assessing whether there is a glare risk. This assessment result will guide subsequent anti-glare control measures.

[0065] As an example, based on the initial light source data and the line of sight deviation angle, determining the light source evaluation state includes: denoising and normalizing the initial light source data to obtain target light source data; and obtaining the light source evaluation state based on the target light source data and the target light source state evaluation model.

[0066] The target light source data may be more accurate and standardized light source information obtained by denoising and normalizing the initial light source data. By eliminating noise and inconsistency in the data, the light source data is made more reliable and convenient for subsequent processing and analysis. The target light source state evaluation model may be a model for evaluating the target light source data. It determines the state of the light source based on the processed target light source data, including but not limited to the position, intensity, color and other characteristics of the light source, and evaluates the impact of these light sources on the driver's line of sight, thereby determining whether there is a glare risk.

[0067] Specifically, the collected initial light source data is first denoised and normalized to eliminate noise and inconsistency in the data, thereby obtaining more accurate and standardized target light source data. Then, using these target light source data and the target light source state assessment model, the characteristics of the light source and the potential impact on the driver's vision are analyzed, and finally the light source assessment state regarding whether there is a glare risk is obtained. This assessment result will be used to take corresponding control measures to protect the driver from glare interference.

[0068] As an example, before obtaining the light source evaluation state according to the target light source data and the target light source state evaluation model, it also includes: obtaining an initial light source state evaluation model, camera image data, light intensity data, user line of sight data, and vehicle driving data; determining the user line of sight deviation angle based on the user line of sight data and the vehicle driving data; obtaining the light deviation angle based on the user line of sight deviation angle and the camera image data; obtaining the polarization weight value through the initial light source state evaluation model, the light deviation angle, and the light intensity data; and adjusting the initial light source state evaluation model according to the polarization weight value to obtain the target light source state evaluation model.

[0069] Among them, the initial light source state assessment model can be a comprehensive data-driven system, which accurately assesses the characteristics and glare risks of light sources by collecting and preprocessing light source data, including denoising and normalization. The model uses parameterized GSF (Gain Spread Function) and nonlinear optimization algorithms to estimate the camera's response to light sources of different intensities and calculates the unified glare rating index (UGR) to measure glare discomfort. In addition, the model also takes into account the light source size and brightness contrast, and optimizes the assessment results by introducing optimization coefficients and Wiener deconvolution methods to ensure that accurate glare risk assessment can be provided under various lighting conditions, thereby providing scientific basis and decision support for intelligent dynamic anti-glare systems. Camera image data* can be image data captured by a camera on a vehicle, which is used to identify and analyze visual information such as light sources, obstacles, lane lines, etc. on the road. Light intensity data can be data collected by a light sensor to measure the light intensity passing through the windshield to determine whether there is too strong light that may affect the driver's line of sight. User line of sight data can be data about the driver's line of sight direction, which can be obtained through eye tracking technology or other sensors to determine the driver's line of sight focus. Vehicle driving data may be information such as the vehicle's speed, acceleration, steering angle, etc. These data are helpful in understanding the dynamic state of the vehicle and assisting in determining the user's line of sight deviation angle. The user's line of sight deviation angle may be the angle between the driver's line of sight and the front of the vehicle (usually the horizontal forward direction). This angle reflects the degree of deviation of the driver's line of sight and is crucial for assessing the risk of glare. The light deviation angle may be the angle between the incident direction of light and the user's line of sight obtained in actual applications. The light deviation angle may be calculated based on the user's line of sight deviation angle and the camera image data to determine whether the light will directly enter the driver's eyes. The polarization weight value may be a value calculated based on the initial light source state evaluation model, the light deviation angle, and the light intensity data. It is used to evaluate the severity of the impact of light on the driver's line of sight and serve as a basis for adjusting the light source state evaluation model.

[0070] Specifically, first collect the initial light source state evaluation model, camera image data, light intensity data, and user line of sight and vehicle driving data. Then, use the user line of sight data and vehicle driving data to calculate the deviation angle of the user's line of sight. Then, combine the user's line of sight deviation angle and camera image data to calculate the deviation angle of the light relative to the user's line of sight. Then, based on the initial light source state evaluation model, the light deviation angle and light intensity data, calculate a polarization weight value, which reflects the severity of the impact of light on the driver's line of sight. Finally, adjust the initial light source state evaluation model according to this polarization weight value to obtain a more accurate target light source state evaluation model, which is used to guide the intelligent anti-glare system to take corresponding control measures to reduce or eliminate the impact of glare on the driver.

[0071] As an example, according to the target light source data and the target light source state evaluation model, the light source evaluation state is obtained, including: obtaining a preset angle threshold; determining the light incident angle according to the target light source data and the target light source state evaluation model; obtaining the glare impact angle based on the light incident angle and the line of sight deviation angle; when the glare impact angle is less than the preset angle threshold, obtaining the light source evaluation state by obtaining the light intensity.

[0072] The preset angle threshold may be a pre-set angle value, which is used to determine whether the angle between the incident angle of the light and the driver's line of sight deviation angle reaches a degree that may cause glare. If the glare impact angle is less than the preset angle threshold, it is considered that there is a glare risk. The incident angle of the light may be the angle between the light and the front windshield of the vehicle or the driver's line of sight. It is determined by analyzing the target light source data and the target light source state evaluation model, and reflects the incident direction of the light relative to the vehicle. The glare impact angle may be the difference between the incident angle of the light and the line of sight deviation angle, that is, the angle between the incident angle of the light and the driver's line of sight. This angle is used to evaluate whether the light will directly enter the driver's eyes, thereby causing glare. The light intensity may be the brightness or intensity of the light, which is usually measured by a light sensor. The light intensity is one of the important factors in evaluating the glare risk because it affects the degree of influence of the light on the driver's vision. When the glare impact angle is less than the preset angle threshold, the light source evaluation state is further determined by measuring the light intensity, that is, whether there is a glare risk.

[0073] Specifically, first, an adjustable preset angle threshold obtained through extensive testing is obtained to evaluate the glare risk. Then, the light incident angle, that is, the angle between the light and the front of the vehicle, is calculated based on the target light source data and the target light source state evaluation model. Then, the glare impact angle, that is, the angle between the light and the driver's line of sight, is calculated by combining the light incident angle and the driver's line of sight deviation angle. When this glare impact angle is less than the preset angle threshold, it is considered that there is a glare risk. At this time, the light intensity is measured to further confirm the light source evaluation status to determine whether measures need to be taken to reduce the impact of glare on the driver.

[0074] As an example, when the glare impact angle is less than the preset angle threshold, the light source evaluation state is obtained by obtaining the light intensity, including: obtaining the preset glare light intensity threshold and the light intensity; if the light intensity is greater than the preset glare light intensity threshold, determining that the light source evaluation state is subject to glare risk.

[0075] The preset glare light intensity threshold refers to the minimum brightness value of the glare source that the human eye can perceive under specific wavelength and brightness conditions. It is an important parameter to measure the impact of glare sources on vision, and has important guiding significance for glare control and lighting design. The main function of this threshold is to protect the human eye from glare damage. When the brightness of the glare source in the environment exceeds this threshold, the human eye is prone to visual fatigue, eye discomfort, and even vision loss. By limiting the brightness of glare, the impact of glare on vision can be reduced and visual comfort can be improved.

[0076] Specifically, when the actual measured light intensity exceeds the preset threshold, the current light source evaluation status is judged to be a glare risk, which means that the strong light may interfere with the driver's vision, and corresponding measures need to be taken to reduce or eliminate the impact of glare to ensure driving safety.

[0077] Step S30: When the light source is evaluated to have a glare risk, light is filtered through the front windshield to control the glare.

[0078] It is understandable that when the light source evaluation status determines that there is a glare risk, the intelligent dynamic anti-glare function on the front windshield will be automatically triggered, and the glare will be effectively controlled by adjusting the light transmittance of the front windshield or using polarization technology to filter out harmful strong light, thereby protecting the driver's vision from interference and ensuring driving safety. This process involves intelligent adjustment of light, so that the front windshield can reduce the impact of glare on the driver while maintaining transparency.

[0079] As an example, when the light source is evaluated to have a glare risk, after filtering the light through the front windshield to complete the glare control, it also includes: when the light intensity is greater than a first preset light intensity threshold or the light intensity is less than a second preset light intensity threshold, acquiring lane line data and target object movement data; integrating the lane line data and target object movement data to obtain head-up display data; sending a request display signal to enable the central console to feedback the display signal; and sending the head-up display data according to the display signal to complete the display of environmental information.

[0080] Among them, the first preset light intensity threshold can be a set light intensity value, which is used to determine whether the ambient light is too strong, which may cause glare. When the actual light intensity exceeds this threshold, it is considered that the ambient light is too bright, which may cause glare to the driver. The second preset light intensity threshold corresponds to the first threshold, and this threshold is used to determine whether the ambient light is too weak. When the actual light intensity is lower than this threshold, it is considered that the ambient light is too dark, which may also have an adverse effect on the driver's vision. Lane line data can be lane line information captured by on-board sensors or cameras. This data can help identify the position of the vehicle on the road and the boundaries of the lane, which is crucial for driving assistance systems and autonomous driving technologies. Target object movement data can be information such as the position, speed and direction of moving objects around the vehicle, which is usually obtained through target detection and tracking algorithms. These data are very important for understanding the vehicle's surroundings and making safe driving decisions. Head-up display (HUD) data can be information that projects the vehicle's driving information (such as speed, navigation instructions, etc.) onto the windshield, so that the driver can obtain key information without looking down at the dashboard, thereby improving driving safety and convenience. The request display signal may be a request for the central control console to process and display specific data or information. This signal may be a software-level call or an electronic signal at the hardware level. The central control console may be a center console that integrates various vehicle control and display functions, including infotainment system, navigation system, vehicle status display, etc. The display signal may be a signal sent by the central control console to control the HUD or other display devices to display specific information. This signal ensures that the vehicle's driving information can be displayed to the driver in a timely and accurate manner.

[0081] Specifically, when the ambient light intensity exceeds the set upper limit or falls below the set lower limit, lane line data and data of surrounding moving objects will be automatically acquired. These data are integrated to form head-up display (HUD) data, and then a request display signal is sent to the central control console, which responds to this signal and feeds back a display signal. Finally, the HUD data is presented according to this display signal, thereby displaying key environmental information on the windshield, helping the driver to maintain a clear understanding of the road and surrounding environment under different lighting conditions, and improving driving safety.

[0082] This embodiment provides an intelligent dynamic anti-glare method. This embodiment first obtains the initial light source data and the line of sight deviation angle to accurately capture the position and intensity of the light source and the deviation of the driver's line of sight. Then, based on these data, the light source status is evaluated and determined to determine whether there is a glare risk. Finally, when the evaluation result shows that there is a glare risk, the light transmittance of the front windshield will be automatically adjusted to filter out harmful light, effectively control glare, and protect the driver's line of sight from interference. This embodiment can make dynamic adjustments through precise data collection, evaluation and response to ensure that the driver is provided with the best line of sight protection under various lighting conditions to cope with glare problems under various driving conditions, thereby significantly improving driving safety and comfort.

[0083] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 , Figure 2 This is a flow chart of the second embodiment of the intelligent dynamic anti-glare method of the present application. Step S30 of the intelligent dynamic anti-glare method includes steps S31 to S33:

[0084] Step S31, obtaining the light source position, light intensity and relative moving speed of the light source through the initial light source data;

[0085] It should be noted that the light source position can be the three-dimensional coordinates of the light source in space, usually expressed as (x, y, z), which determines where the light is emitted. The relative moving speed of the light source can be the speed and direction of the light source relative to the vehicle. This speed can be generated by the movement of the light source itself, or it can be the moving speed of the light source perceived by the vehicle. It describes how fast the light source position changes over time, which is very important for ray tracing and lighting calculations in dynamic scenes.

[0086] It is understandable that by analyzing the initial light source data, determining the specific position of the light source in space, measuring the light intensity emitted by the light source, and calculating the speed of the light source relative to the vehicle, this information is crucial for assessing the glare risk and dynamically adjusting the anti-glare measures of the front windshield.

[0087] Step S32, obtaining a target light transmittance through the light source position, the light intensity and the relative moving speed of the light source based on a light source control algorithm;

[0088] It should be noted that the light source control algorithm can be a set of algorithms for dynamically adjusting the characteristics of the light source to adapt to different environmental conditions and requirements. It calculates the required target transmittance by analyzing parameters such as the position of the light source, the light intensity, and the relative movement speed of the light source to achieve intelligent control of the light. The target transmittance can be calculated based on the light source control algorithm, and is the light transmittance performance index that the front windshield or other transparent medium should achieve under ideal conditions. It is a measure of the ability of light to pass through the medium, which can be expressed by the formula:

[0089] T=I t ÷I o

[0090] Where T is the transmittance, I t is the intensity of the transmitted light, I o The target transmittance determines how the windshield needs to be adjusted to reduce glare while ensuring enough light is transmitted to optimize the driver's sight line.

[0091] It is understandable that the light source control algorithm is an intelligent algorithm that dynamically determines the target light transmittance that the front windshield should achieve by comprehensively considering the three key parameters of the light source position, light intensity, and the speed of the light source relative to the vehicle. This target light transmittance is an idealized light transmittance performance indicator that can balance light transmission and glare control to ensure the best vision for the driver under different driving conditions while reducing the interference and discomfort caused by glare to the driver.

[0092] Step S33, controlling glare through the front windshield and the target light transmittance.

[0093] It is understandable that the optical properties of the windshield are dynamically adjusted according to the target transmittance calculated by the light source control algorithm. In this way, the windshield can automatically adjust its transmittance according to changes in ambient light, such as the position, intensity and moving speed of the light source, and the preset transmittance target value, so as to reduce or filter out strong light that may cause glare, while allowing sufficient light to pass through to ensure that the driver can maintain a good field of vision under various lighting conditions, thereby effectively controlling and reducing the impact of glare on the driver.

[0094] This embodiment first accurately determines the position of the light source, the light intensity, and the speed of the light source relative to the vehicle by analyzing the initial light source data. Then, using this information, the target light transmittance required to achieve the ideal anti-glare effect is calculated through the light source control algorithm. Finally, according to this target light transmittance, the light transmittance of the front windshield is adjusted to intelligently control the amount of light entering the car, thereby effectively suppressing glare and protecting the driver's vision from strong light interference. This embodiment realizes automated control from monitoring ambient light to intelligently adjusting the light transmittance of the front windshield, ensuring that the driver can be provided with a clear and comfortable vision under various lighting conditions, thereby improving driving safety and comfort.

[0095] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the intelligent dynamic anti-glare method of the present application. More simple transformations based on this technical concept are all within the protection scope of the present application.

[0096] This application also provides an intelligent dynamic anti-glare device, please refer to Figure 3 , the intelligent dynamic anti-glare device comprises:

[0097] An acquisition module 10 is used to acquire initial light source data and a sight line deviation angle;

[0098] A determination module 20, configured to determine a light source evaluation state based on the initial light source data and the sight line deviation angle;

[0099] The completion module 30 is used to filter the light through the front windshield to control the glare when the light source is evaluated to have a glare risk.

[0100] The intelligent dynamic anti-glare device provided by the present application adopts the intelligent dynamic anti-glare method in the above embodiment, which can solve the technical problem of how to achieve intelligent response to glare. Compared with the prior art, the beneficial effects of the intelligent dynamic anti-glare device provided by the present application are the same as the beneficial effects of the intelligent dynamic anti-glare method provided by the above embodiment, and other technical features in the intelligent dynamic anti-glare device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0101] The present application provides an intelligent dynamic anti-glare device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent dynamic anti-glare method in the above-mentioned embodiment one.

[0102] Reference below Figure 4, which shows a schematic diagram of the structure of an intelligent dynamic anti-glare device suitable for implementing the embodiment of the present application. The intelligent dynamic anti-glare device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The intelligent dynamic anti-glare device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0103] like Figure 4 As shown, the intelligent dynamic anti-glare device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the intelligent dynamic anti-glare device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the intelligent dynamic anti-glare device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows an intelligent dynamic anti-glare device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0104] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0105] The intelligent dynamic anti-glare device provided by the present application adopts the intelligent dynamic anti-glare method in the above embodiment, which can solve the technical problem of how to achieve intelligent response to glare. Compared with the prior art, the beneficial effects of the intelligent dynamic anti-glare device provided by the present application are the same as the beneficial effects of the intelligent dynamic anti-glare method provided by the above embodiment, and other technical features in the intelligent dynamic anti-glare device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0106] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0107] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0108] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the intelligent dynamic anti-glare method in the above-mentioned embodiment.

[0109] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0110] The computer-readable storage medium may be included in the intelligent dynamic anti-glare device; or may exist independently without being assembled into the intelligent dynamic anti-glare device.

[0111] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the intelligent dynamic anti-glare device, the intelligent dynamic anti-glare device: obtains initial light source data and a line of sight deviation angle; determines a light source evaluation state based on the initial light source data and the line of sight deviation angle; and when the light source evaluation state indicates that there is a glare risk, filters light through the front windshield to complete the control of glare.

[0112] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0113] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0114] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0115] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned intelligent dynamic anti-glare method, and can solve the technical problem of how to achieve intelligent response to glare. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the intelligent dynamic anti-glare method provided in the above-mentioned embodiment, and will not be repeated here.

[0116] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned intelligent dynamic anti-glare method when executed by a processor.

[0117] The computer program product provided in this application can solve the technical problem of how to achieve intelligent response to glare. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the intelligent dynamic anti-glare method provided in the above embodiment, which will not be repeated here.

[0118] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. An intelligent dynamic anti-glare method, characterized in that: The method comprises: Get initial light source data and sight offset angle; Determining a light source evaluation state based on the initial light source data and the sight line deviation angle; When the light source is evaluated to have a glare risk, the light is filtered through the front windshield to control the glare.

2. The method according to claim 1, characterized in that The step of determining a light source evaluation state based on the initial light source data and the sight line deviation angle comprises: Performing denoising and normalization processing on the initial light source data to obtain target light source data; The light source evaluation state is obtained according to the target light source data and the target light source state evaluation model.

3. The method according to claim 2, characterized in that Before obtaining the light source evaluation state according to the target light source data and the target light source state evaluation model, the method further includes: Obtaining an initial light source state assessment model, camera image data, light intensity data, user sight data, and vehicle driving data; Determining a user's sight line deviation angle based on the user's sight line data and the vehicle driving data; Obtaining a light deviation angle based on the user's sight line deviation angle and the camera image data; Obtaining a polarization weight value through the initial light source state evaluation model, the light deviation angle and the light intensity data; The initial light source state assessment model is adjusted according to the polarization weight value to obtain a target light source state assessment model.

4. The method according to claim 2, characterized in that The step of obtaining the light source evaluation state according to the target light source data and the target light source state evaluation model comprises: Get the preset angle threshold; Determining the light incident angle according to the target light source data and the target light source state evaluation model; Obtaining a glare impact angle based on the light incident angle and the sight line deviation angle; When the glare impact angle is less than the preset angle threshold, the light source evaluation state is obtained by acquiring the light intensity.

5. The method according to claim 4, characterized in that When the glare impact angle is less than the preset angle threshold, obtaining the light source evaluation state by acquiring the light intensity includes: Obtaining a preset glare light intensity threshold and light intensity; If the light intensity is greater than the preset glare light intensity threshold, it is determined that the light source evaluation state is that there is a glare risk.

6. The method according to claim 1, characterized in that When the light source is evaluated to have a glare risk, the light is filtered through the front windshield to control the glare, including: Obtaining the light source position, light intensity and relative moving speed of the light source through the initial light source data; Obtaining a target light transmittance based on a light source control algorithm through the light source position, the light intensity and the relative moving speed of the light source; Glare control is achieved through the front windshield and the target light transmittance.

7. The method according to claim 1, characterized in that When the light source is evaluated to have a glare risk, the light is filtered through the front windshield to control the glare, and the method further includes: When the light intensity is greater than a first preset light intensity threshold or the light intensity is less than a second preset light intensity threshold, acquiring lane line data and target object movement data; Integrate the lane line data and the target object movement data to obtain head-up display data; Sending a request display signal so that the central console can feedback the display signal; The head-up display data is sent according to the display signal to complete the display of environmental information.

8. An intelligent dynamic anti-glare device, characterized in that: The device comprises: An acquisition module is used to obtain initial light source data and sight offset angle; A determination module, configured to determine a light source evaluation state based on the initial light source data and the sight line deviation angle; The completion module is used to filter the light through the front windshield to control the glare when the light source is evaluated to have a glare risk.

9. An intelligent dynamic anti-glare device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the intelligent dynamic anti-glare method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the intelligent dynamic anti-glare method according to any one of claims 1 to 7 are implemented.

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