A vehicle-mounted display interface optimization method and device, a storage medium and a vehicle

Abstract

The application discloses a vehicle-mounted display interface optimization method and device, a storage medium and a vehicle, relates to the technical field of automobile electronic cockpit display control, and comprises the following steps: determining at least one boot display interface that is powered on and displayed on a vehicle-mounted screen of a target vehicle, and determining a hardware physical defect of the target vehicle; for each boot display interface, an optimization strategy corresponding to the boot display interface is determined in combination with the hardware physical defect; and the gray scale interval of the boot display interface is optimized according to the optimization strategy. Through the application, only the boot display interface needs to be optimized, the display improvement effect is intuitive and reliable, the defective product rate caused by light leakage is quickly reduced, the consistency of mass production is ensured, the hardware modification is replaced by visual contrast inhibition, the effect is quick, the yield is obviously improved, the development cycle is short, the verification is simple, the production line does not need to be modified, and all models can be quickly covered.

Description

Technical Field

[0001] This application relates to the field of automotive electronic cockpit display control technology, and in particular to in-vehicle display interface optimization methods, in-vehicle display interface optimization devices, storage media, and vehicles. Background Technology

[0002] With the development of intelligent automotive cockpits, large-size, curved displays have become standard equipment in high-end models. In particular, for models where the main display adopts a single-curvature / dual-curvature large screen design, during assembly and mass production, factors such as structural stress, adhesive stress, module tolerance, and cover deformation cause prominent issues such as light leakage at the screen edges, uneven MURA display, and inconsistent brightness in dark conditions. These issues are most noticeable under completely black backgrounds, dark themes, and static images, directly affecting the user's visual experience, product reputation, and mass production yield.

[0003] Currently, industry-wide improvements to backlight leakage and MURA (Mud-Release Aspect Ratio) in automotive displays primarily focus on hardware structure, materials, and assembly processes. For example, in adjusting adhesives, methods include changing the type of double-sided tape, adding hot melt adhesive, and adjusting the application location and amount. In optimizing assembly processes, methods include changing the material of pressure-holding fixtures, improving screen mounting accuracy, and adjusting screw tightening sequence and torque. In improving material properties, methods include optimizing the contours of the core thin-film transistor (FTF) glass, aluminosilicate cover plate, and plastic frame of the LCD module to enhance stress release capabilities. In optimizing structural interference, methods include reducing interference between the backlight and stamped / plastic components to lower the stress on the module.

[0004] However, the above-mentioned improvement methods have drawbacks such as high transformation costs, long verification cycles, the need to re-open molds, verify tooling, and adjust production lines, inability to cope with rapid order ramp-up, bottlenecks in hardware improvement, the structural characteristics of curved screens that make it impossible to eliminate light leakage perception from the root, slow yield improvement, and difficulty in ensuring batch consistency. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device, electronic device, storage medium, and vehicle for optimizing vehicle display interfaces, at least addressing the technical issues of how to reduce modification costs and verification cycles, how to eliminate light leakage perception at the source, improve yield, and ensure batch consistency.

[0006] This invention provides the following solution:

[0007] According to one aspect of the present invention, a method for optimizing an in-vehicle display interface is provided, comprising:

[0008] Identify at least one power-on display interface on the vehicle's in-vehicle screen and determine any hardware physical defects in the target vehicle.

[0009] For each boot display interface, an optimization strategy is determined based on the hardware physical defects.

[0010] The grayscale range of the boot-up display interface is optimized according to the optimization strategy.

[0011] Preferably, the step of determining the optimization strategy corresponding to each boot display interface in conjunction with the hardware physical defects includes:

[0012] In response to the boot display interface being a solid color static image, the optimization strategy corresponding to the solid color static image is determined to be a grayscale gradient contrast strategy.

[0013] or

[0014] Since the boot-up display interface is an animation, the optimization strategy corresponding to the animation is determined to be a dynamic screen generation strategy.

[0015] Preferably, the boot-up display interface is a solid color static image.

[0016] The optimization of the grayscale range of the boot-up display interface according to the optimization strategy includes:

[0017] Obtain the background color of a solid color static image, and determine the grayscale optimization range of the background color;

[0018] The gray-level optimization interval is divided according to a preset gradient to obtain at least one gray-level gradient test group.

[0019] Based on the grayscale gradient test group, a picture quality test is conducted on the solid color static image to determine the first grayscale gradient test group for optimizing the background color, and the solid color static image is optimized based on the first grayscale gradient test group.

[0020] Preferably, the step of conducting image quality tests on the solid color static image based on the grayscale gradient test group to determine the first grayscale gradient test group for optimizing the background color includes:

[0021] Determine the test environment, and in the test environment, modify the solid color static image based on at least one grayscale gradient test group, and determine at least one display interface modification result;

[0022] Based on simulated user visual perception, the modification results of at least one of the display interfaces are compared, and the grayscale gradient test group corresponding to the optimal display interface modification result is determined as the first grayscale gradient test group.

[0023] Preferably, the optimization of the solid color static image based on the first grayscale gradient test group includes:

[0024] In response to the solid color static image including screen interaction elements and / or screen identifiers, the screen interaction elements and / or screen identifiers are retained, and the background color of the solid color static image is optimized based on the first grayscale gradient test group.

[0025] Preferably, the boot-up display interface is an animation.

[0026] The optimization of the grayscale range of the boot-up display interface according to the optimization strategy includes:

[0027] Based on the frame data resources, playback sequence, and playback content of the animation, a corresponding dynamic light and shadow video is generated;

[0028] The dynamic light and shadow video is converted into dynamic images, and the grayscale range of the boot display interface is optimized.

[0029] Preferably, before determining at least one power-on display interface displayed on the target vehicle's in-vehicle screen, the method further includes:

[0030] Perform a self-test on the boot screen to be displayed and determine the self-test result;

[0031] If the self-test result is abnormal, stop optimizing the boot display interface.

[0032] According to a second aspect of the present invention, an in-vehicle display interface optimization device is provided, comprising:

[0033] The data determination module is used to determine at least one power-on display interface displayed on the vehicle's in-vehicle screen and to determine the hardware physical defects of the target vehicle.

[0034] The optimization strategy module is used to determine the optimization strategy corresponding to each boot display interface in combination with the hardware physical defects.

[0035] The interface optimization module is used to optimize the grayscale range of the boot-up display interface according to the optimization strategy.

[0036] According to three aspects of the present invention, an electronic device is provided, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0037] The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the vehicle display interface optimization method.

[0038] According to four aspects of the present invention, a computer-readable storage medium is provided, comprising: storing a computer program executable by an electronic device, wherein when the computer program is run on the electronic device, the electronic device performs the steps of an in-vehicle display interface optimization method.

[0039] According to five aspects of the present invention, a vehicle is provided, comprising:

[0040] Electronic devices, steps for implementing methods to optimize in-vehicle display interfaces;

[0041] The processor runs a program, and when the program runs, it executes the steps of the vehicle display interface optimization method based on data output from the electronic device.

[0042] Storage medium for storing programs that, when running, execute steps of an in-vehicle display interface optimization method based on data output from electronic devices.

[0043] The above solution achieves the following beneficial technical effects:

[0044] This application determines the corresponding optimization strategy for each boot-up display interface by combining hardware physical defects. This allows for intuitive and reliable display improvement by optimizing only the boot-up display interface, quickly reducing the defect rate caused by light leakage and ensuring consistency in mass production.

[0045] This application optimizes the grayscale value of the static interface background to reduce the brightness difference between the light leakage area and the normal display area, eliminating the visibility of light leakage from the user's visual perception level. Simultaneously, it does not change the hardware structure, assembly process, backlight parameters, or module stress state, requiring no material, tooling, or mold input. This achieves zero-cost, short-cycle, high-yield, and highly stable display effect improvement. Replacing hardware modifications with visual contrast suppression is quick, significantly improves yield, has a short development cycle, is simple to verify, requires no production line modification, and can be rapidly applied to all models. Attached Figure Description

[0046] Figure 1 This is a flowchart of a method for optimizing an in-vehicle display interface provided by one or more embodiments of the present invention.

[0047] Figure 2 This is a structural diagram of an in-vehicle display interface optimization device provided by one or more embodiments of the present invention.

[0048] Figure 3 This is a block diagram of an electronic device structure for an in-vehicle display interface optimization method provided in one or more embodiments of the present invention. Detailed Implementation

[0049] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Figure 1 This is a flowchart of a method for optimizing an in-vehicle display interface provided by one or more embodiments of the present invention.

[0051] like Figure 1 The methods for optimizing the in-vehicle display interface shown include:

[0052] Step S1: Identify at least one power-on display interface on the target vehicle's in-vehicle screen and determine the target vehicle's hardware physical defects.

[0053] At least one boot display interface includes the boot screen corresponding to the MCU startup phase, the boot animation corresponding to the BootLoader, the activation waiting screen corresponding to the Linux kernel loading, and the user main interface corresponding to the system startup completion, etc.

[0054] In this embodiment, the corresponding physical defects of the hardware can be determined based on the structural stress, adhesive stress, module tolerance, cover plate deformation, and edge light leakage of the curved screen of the target vehicle.

[0055] Step S2: For each boot display screen, based on the hardware physical defects, determine the corresponding optimization strategy for the boot display screen.

[0056] In this embodiment, optimization strategies can be determined for each boot-up display interface by considering hardware physical defects.

[0057] Specifically, if the boot screen is a solid color static image, the optimization strategy corresponding to the solid color static image is determined to be the grayscale gradient contrast strategy. If the boot screen is an animation, the optimization strategy corresponding to the animation is determined to be the dynamic image generation strategy.

[0058] Step S3: Optimize the grayscale range of the boot-up display interface according to the optimization strategy.

[0059] In one embodiment, if the boot-up display is a solid color static image (e.g., a pure background with no elements in the image), the background color of the solid color static image is obtained, and the grayscale optimization range of the background color is determined. For example, the grayscale optimization range can be from RGB(10, 10, 10) to RGB(50, 50, 50).

[0060] According to the preset gradient, the gray-level optimization interval is divided to obtain at least one gray-level gradient test group. For example, gray-level gradient test group 1: RGB (20, 20, 20), gray-level gradient test group 2: RGB (25, 25, 25), gray-level gradient test group 3: RGB (30, 30, 30), gray-level gradient test group 4: RGB (35, 35, 35), gray-level gradient test group 5: RGB (40, 40, 40), gray-level gradient test group 6: RGB (45, 45, 45).

[0061] Based on the grayscale gradient test group, in an 80 lux darkroom environment and under 5% ND card conditions, solid color static images were optimized to determine at least one display interface modification result, resulting in multiple optimized solid color static images. Here, ND card refers to a neutral density filter used for screen light leakage and uniformity detection in dark conditions.

[0062] Based on simulated user visual perception, the modification results of at least one display interface are compared, and a picture quality experiment is conducted on a solid color static image. The grayscale gradient test group corresponding to the optimal display interface modification result is determined as the first grayscale gradient test group, and the solid color static image is optimized based on the first grayscale gradient test group.

[0063] The optimization process in this embodiment requires no modification to the underlying code or drivers, resulting in minimal development effort, a short development cycle, and no system compatibility risks. The brightness difference between the light leakage area and the background in the optimized solid-color static image is ≤4.8%, meeting the uniformity standards for automotive displays. Furthermore, after installation and testing on multiple prototype vehicles, and powering on under high-temperature conditions after exposure to direct sunlight, there was no subjective light leakage or MURA (mullage irradiation), and the feedback was excellent. After 100 consecutive power-on cycles, the system booted normally without timing errors, black screens, or stuttering.

[0064] For example, if the grayscale value is <30, the light leakage brightness difference is >8%, indicating insufficient suppression; if the grayscale value is between 30 and 40, the brightness difference is 4.2% to 4.8%, the light leakage is not visible, and the visual experience is neutral; if the grayscale value is >40, the image appears washed out, deviating from the brand's tone; the current average hardware light leakage value is 65 cd / ㎡, and RGB (35, 35, 35) is optimal; if the hardware light leakage value is reduced to 55 cd / ㎡, RGB (32, 32, 32) becomes optimal; if the hardware light leakage value is increased to 75 cd / ㎡, RGB (38, 38, 38) is optimal.

[0065] If the static solid color screen includes interactive elements and / or logos, such as brand logos, operation prompts, icon styles, etc., then the interactive elements and / or logos included in the static solid color screen will be retained, their background colors will be optimized, the interface layout and interaction logic will remain completely unchanged, and the optimized static solid color screen will replace the R7 boot logo image and the Linux kernel boot logo image.

[0066] In this embodiment, under an 80 lux darkroom environment, after comparing the original dark background with the optimized grayscale background, light leakage is basically invisible and the text is clearly readable; clicking the interface operation buttons responds normally, with no delay or functional failure; under an 85℃ environment, the interface displays normally, with no color distortion or recurrence of light leakage.

[0067] In particular, the optimization of the user's main interface theme enhances the background grayscale while preserving the contrast of icons, text, and buttons, maintaining the interface hierarchy, visual style, and interaction logic. Unified grayscale adjustment ensures visual consistency and avoids visual discontinuity during theme switching; adjusting the background grayscale does not alter the contrast of interactive elements such as icons, text, and buttons, thus preserving user operating habits and requiring no learning curve; the main interface is displayed in high-frequency scenarios such as navigation, entertainment, and vehicle settings, and grayscale optimization enables full-scene light leakage suppression.

[0068] Optimization results show that in daily navigation, music playback, and vehicle settings scenarios, light leakage is completely invisible, and the display is uniform. Under 80 lux darkroom conditions, I16 device testing showed a 25% improvement in the brightness uniformity of the main interface after optimization. Theme switching test: 50 transitions between classic and sports themes showed smooth transitions without lag or display abnormalities. Long-term stability test: After 72 hours of continuous operation, the interface displayed normally, with no recurrence of light leakage or aging abnormalities. I16 indicates the professional testing standard and equipment used for automotive display brightness uniformity.

[0069] In another embodiment, if the boot-up display is an animation, a corresponding dynamic light and shadow video is generated based on the animation's frame data resources, playback sequence, and playback content. During this process, there is no need to adjust the frame rate, resolution, or lighting effects. Furthermore, the dynamic light and shadow video is converted into a dynamic image, optimizing the grayscale range of the boot-up display. Dynamic images naturally possess motion blur and color transition characteristics, which can completely mask light leakage and MURA defects.

[0070] Dynamic occlusion effect verification: Comparing the original animation and the modified animation (brightened / darkened), subjective evaluation in an 80 lux darkroom environment: all dynamic scenes have no light leakage or MURA; after 50 consecutive starts, the original animation playback sequence is synchronized with the system startup, with no delay or interruption; high temperature adaptation test: in an 85℃ high temperature environment, the animation plays smoothly without stuttering or screen tearing.

[0071] In this embodiment, without affecting functions such as rapid reversing, layer switching, backlight adjustment, and screen saver, an image loading self-check and an anomaly rollback mechanism can be added. Image loading failure can easily lead to a black screen; adding a self-check rollback can improve system fault tolerance and ensure stable system startup. Furthermore, before determining at least one boot display interface to be displayed on the target vehicle's in-vehicle screen, the original display state during the MCU power-on backlight activation phase (approximately 800ms) is retained. The total startup time remains unchanged, and a loading self-check is performed on the boot display interface to be displayed to determine the self-check result. If the self-check result is abnormal, optimization of the boot display interface is stopped.

[0072] After 100 consecutive power-on cycles, the total duration remained stable at 27 seconds, and the rapid reversing response was normal. When an optimized image was intentionally damaged, the system automatically reverted to the original image and started normally. In environments ranging from -40℃ to 85℃, the startup sequence was normal, with no abnormal interruptions.

[0073] For example, for the main display of a certain vehicle model, the in-vehicle system is an MCU+Linux+Android cockpit system. The test conditions are an 80 lux darkroom environment, a 5% ND filter, and an I16 brightness uniformity test device. The power-on display phase of this vehicle model system includes: Phase 1: the boot screen corresponding to MCU startup (static image, lasting 12 seconds); Phase 2: the boot animation corresponding to BootLoader (dynamic video, lasting 7 seconds); Phase 3: the waiting activation interface corresponding to Linux kernel loading (static image, lasting 8 seconds); and Phase 4: the user main interface corresponding to system startup completion (static theme, permanently displayed).

[0074] Based on the above, the implementation steps are as follows:

[0075] Replace the boot image and Linux boot logo image in the R7 stage, changing the background color from RGB (0,0,0) pure black to RGB (35,35,35) neutral gray.

[0076] The original dark background was uniformly lightened to a medium-low gray background, while keeping the text, icons, layout, and interaction logic completely unchanged.

[0077] Classic Theme: Enhance background grayscale while preserving icon and text contrast;

[0078] Sports theme: Simultaneously increase the background grayscale to maintain a consistent visual style.

[0079] The original state of the MCU power-on backlight turn-on phase (approximately 800ms) is retained, with a total startup time of approximately 27 seconds. The startup process and timing are not changed. Image loading verification and an exception rollback mechanism are added to ensure stable system startup.

[0080] Subjective effect: No light leakage on pure black background, MURA is significantly eliminated, and the display is uniform and consistent;

[0081] Objective test: Under the conditions of 80 lux + 5% ND card, the uniformity meets the I16 standard requirements;

[0082] System verification: Startup is normal, reversing responds quickly, layer switching is smooth, and backlight and screen saver functions are normal;

[0083] Mass production performance: The defect rate has decreased significantly, and the yield rate meets the requirement of 100% order supply.

[0084] Internal extreme prototype manufacturing and signing, OTS tooling / process / hardware zero-change verification, R&D self-testing combined with vehicle bench verification and real vehicle road testing, version freezing and direct mass production line switching, and after-sales version synchronous compatibility upgrades.

[0085] To address issues such as light leakage from curved screens, uneven MURA display, and poor consistency in dark displays on main displays, this embodiment employs a purely software optimization solution that modifies UI interface colors, boot screen grayscale, waiting activation interface background, and user theme styles. Without altering the hardware structure, adhesive methods, assembly processes, or backlight parameters, this solution rapidly suppresses light leakage visibility and improves display uniformity from the perspective of human visual perception.

[0086] In the startup and display process of in-vehicle displays, UI grayscale optimization and background color replacement are used to improve light leakage and MURA (uneven display appearance) from a visual perception perspective. This UI optimization solution has been practically applied and proven effective in the main display project of vehicle models. The optimization solution is provided in a standardized interface configuration and image resource replacement package, enhancing the reusability of the solution; it does not require changes to hardware or processes, shortens the development cycle, improves product yield and mass production efficiency, and reduces time and cost waste caused by structural modifications. It has a certain degree of scalability and applicability for subsequent in-vehicle curved display development and display effect improvement projects. This embodiment uniquely improves light leakage and display unevenness of in-vehicle displays through UI interface optimization, and its application in the fields of in-vehicle infotainment systems and cockpit displays can improve development efficiency and product yield.

[0087] Figure 2 This is a structural diagram of an in-vehicle display interface optimization device provided by one or more embodiments of the present invention.

[0088] like Figure 2 The in-vehicle display interface optimization device shown includes: a data determination module, an optimization strategy module, and an interface optimization module.

[0089] The data determination module is used to determine at least one power-on display interface on the vehicle's in-vehicle screen and to determine the physical hardware defects of the target vehicle.

[0090] The optimization strategy module is used to determine the corresponding optimization strategy for each boot display interface based on hardware physical defects.

[0091] The interface optimization module is used to optimize the grayscale range of the boot-up display interface according to the optimization strategy.

[0092] The optimization strategy module is used to determine the grayscale gradient contrast strategy as the optimization strategy corresponding to a solid color static screen when the boot display interface is a solid color static screen; or, to determine the dynamic screen generation strategy as the optimization strategy corresponding to an animation when the boot display interface is an animation.

[0093] The startup display is a solid color static image. The optimization strategy module is used to obtain the background color of the solid color static image and determine the grayscale optimization range of the background color. According to the preset gradient, the grayscale optimization range is divided to obtain at least one grayscale gradient test group. Based on the grayscale gradient test group, the image quality test is carried out on the solid color static image to determine the first grayscale gradient test group used to optimize the background color, and the solid color static image is optimized based on the first grayscale gradient test group.

[0094] The interface optimization module is used to determine the test environment and modify the solid color static image based on at least one grayscale gradient test group in the test environment to determine at least one display interface modification result; based on simulated user visual perception, the at least one display interface modification result is compared, and the grayscale gradient test group corresponding to the optimal display interface modification result is determined as the first grayscale gradient test group.

[0095] The interface optimization module is used to respond to a solid color static image, including screen interaction elements and / or screen identifiers, retain the screen interaction elements and / or screen identifiers, and optimize the background color of the solid color static image based on the first grayscale gradient test group.

[0096] The boot-up display is an animation. The interface optimization module is used to generate corresponding dynamic light and shadow videos based on the animation's frame data resources, playback sequence, and playback content; it converts the dynamic light and shadow videos into dynamic images and optimizes the grayscale range of the boot-up display.

[0097] The interface optimization module is also used to perform a self-test on the boot screen to be displayed and determine the self-test result; if the self-test result is abnormal, the optimization of the boot screen is stopped.

[0098] Figure 3 This is a block diagram of an electronic device structure for an in-vehicle display interface optimization method provided in one or more embodiments of the present invention.

[0099] like Figure 3As shown, this application provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0100] The memory stores a computer program, which, when executed by the processor, causes the processor to perform steps of an in-vehicle display interface optimization method.

[0101] This application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of an in-vehicle display interface optimization method.

[0102] This application also provides a vehicle, including:

[0103] Electronic devices for implementing steps based on vehicle display interface optimization methods;

[0104] The processor runs a program, and when the program runs, it executes the steps of the vehicle display interface optimization method based on data output from the electronic device.

[0105] Storage medium for storing programs that, when running, execute steps of an in-vehicle display interface optimization method based on data output from electronic devices.

[0106] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0107] The electronic device comprises a hardware layer, an operating system layer running on top of the hardware layer, and an application layer running on the operating system. The hardware layer includes hardware such as a central processing unit (CPU), a memory management unit (MMU), and memory. The operating system can be any one or more computer operating systems that control the electronic device through processes, such as Linux, Unix, Android, iOS, or Windows. Furthermore, in this embodiment of the invention, the electronic device can be a smartphone, tablet computer, or other handheld device, or a desktop computer, portable computer, or other electronic device; there is no particular limitation in this embodiment.

[0108] In this embodiment of the invention, the executing entity for electronic device control can be an electronic device itself, or a functional module within an electronic device capable of calling and executing a program. The electronic device can obtain the firmware corresponding to the storage medium. This firmware is provided by the supplier, and different storage media may have the same or different firmware; no limitation is made here. After obtaining the firmware corresponding to the storage medium, the electronic device can write this firmware into the storage medium; specifically, it burns the firmware corresponding to the storage medium into the storage medium. The process of burning the firmware into the storage medium can be implemented using existing technology, and will not be elaborated upon in this embodiment of the invention.

[0109] Electronic devices can also obtain reset commands corresponding to the storage media. The reset commands corresponding to the storage media are provided by the supplier. The reset commands corresponding to different storage media can be the same or different, and no restrictions are imposed here.

[0110] At this time, the storage medium of the electronic device is a storage medium on which the corresponding firmware has been written. The electronic device can respond to the reset command corresponding to the storage medium on which the corresponding firmware has been written, thereby resetting the storage medium on which the corresponding firmware has been written according to the reset command. The process of resetting the storage medium according to the reset command can be implemented by existing technology and will not be described in detail in this embodiment of the invention.

[0111] For ease of description, the above devices are described separately by function as various units and modules. Of course, in implementing this application, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0112] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the meaning consistent with their meaning in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined.

[0113] For the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0114] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing an in-vehicle display interface, characterized in that, The method for optimizing the vehicle display interface includes: Identify at least one power-on display interface on the vehicle's in-vehicle screen and determine any hardware physical defects in the target vehicle. For each boot display interface, an optimization strategy is determined based on the hardware physical defects. The grayscale range of the boot-up display interface is optimized according to the optimization strategy.

2. The vehicle display interface optimization method according to claim 1, characterized in that, The step of determining the optimization strategy for each boot display interface in conjunction with the hardware physical defects includes: In response to the boot display interface being a solid color static image, the optimization strategy corresponding to the solid color static image is determined to be a grayscale gradient contrast strategy. or Since the boot-up display interface is an animation, the optimization strategy corresponding to the animation is determined to be a dynamic screen generation strategy.

3. The vehicle display interface optimization method according to claim 2, characterized in that, The boot-up display is a static, solid-color image. The optimization of the grayscale range of the boot-up display interface according to the optimization strategy includes: Obtain the background color of a solid color static image, and determine the grayscale optimization range of the background color; The gray-level optimization interval is divided according to a preset gradient to obtain at least one gray-level gradient test group. Based on the grayscale gradient test group, a picture quality test is conducted on the solid color static image to determine the first grayscale gradient test group for optimizing the background color, and the solid color static image is optimized based on the first grayscale gradient test group.

4. The vehicle display interface optimization method according to claim 3, characterized in that, The step of conducting image quality tests on the solid-color static image based on the grayscale gradient test group to determine the first grayscale gradient test group used to optimize the background color includes: Determine the test environment, and in the test environment, modify the solid color static image based on at least one grayscale gradient test group, and determine at least one display interface modification result; Based on simulated user visual perception, the modification results of at least one of the display interfaces are compared, and the grayscale gradient test group corresponding to the optimal display interface modification result is determined as the first grayscale gradient test group.

5. The in-vehicle display interface optimization method according to claim 3, characterized in that, The optimization of the solid color static image based on the first grayscale gradient test group includes: In response to the solid color static image including screen interaction elements and / or screen identifiers, the screen interaction elements and / or screen identifiers are retained, and the background color of the solid color static image is optimized based on the first grayscale gradient test group.

6. The method for optimizing the vehicle display interface according to claim 2, characterized in that, The boot-up display is an animation. The optimization of the grayscale range of the boot-up display interface according to the optimization strategy includes: Based on the frame data resources, playback sequence, and playback content of the animation, a corresponding dynamic light and shadow video is generated; The dynamic light and shadow video is converted into dynamic images, and the grayscale range of the boot display interface is optimized.

7. The method for optimizing the vehicle display interface according to claim 1, characterized in that, Before determining at least one power-on display interface displayed on the target vehicle's in-vehicle screen, the method further includes: Perform a self-test on the boot screen to be displayed and determine the self-test result; If the self-test result is abnormal, stop optimizing the boot display interface.

8. A vehicle-mounted display interface optimization device, characterized in that, The vehicle display interface optimization device includes: The data determination module is used to determine at least one power-on display interface displayed on the vehicle's in-vehicle screen and to determine the hardware physical defects of the target vehicle. The optimization strategy module is used to determine the optimization strategy corresponding to each boot display interface in combination with the hardware physical defects. The interface optimization module is used to optimize the grayscale range of the boot-up display interface according to the optimization strategy.

9. A computer-readable storage medium, characterized in that, The device stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the vehicle display interface optimization method as described in any one of claims 1 to 7.

10. A vehicle, characterized in that, include: An electronic device for implementing the steps of the vehicle display interface optimization method as described in any one of claims 1 to 7; A processor that runs a program, which, when running, performs the steps of the vehicle display interface optimization method as described in any one of claims 1 to 7 from data output by the electronic device. A storage medium for storing a program that, when running, performs the steps of the vehicle display interface optimization method as described in any one of claims 1 to 7 on data output from an electronic device.

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