Behavior wallpaper implementation method and system based on vehicle engine cabin

Abstract

The invention discloses a behavior wallpaper implementation method and system based on a vehicle-mounted entertainment product cabin, and relates to the technical field of intelligent vehicle-mounted entertainment product cabin display and interaction.The behavior wallpaper implementation method comprises the steps that wallpaper resources are obtained and optimized, wallpaper identifiers are distributed, and an index table is constructed; obtaining a target kilometer and a driving kilometer; the current wallpaper resource blooming proportion is calculated, a matched wallpaper resource identifier set is retrieved, and wallpaper resources are loaded by adopting a hierarchical loading strategy after sorting is carried out according to the current wallpaper resource blooming proportion; and inputting a wallpaper identifier set in a client rendering engine to generate a dynamic wallpaper frame sequence, fusing a user driving period, a weather state and a historical driving mode, outputting a dynamic adjustment parameter through a CNN-RNN hybrid model, and correcting a wallpaper rendering effect. According to the method, fine management and efficient retrieval of wallpaper resources are realized, the network and storage pressure is reduced, and the loading delay is shortened; and the system response performance, the resource utilization efficiency and the interactive immersion experience of the user are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent vehicle cockpit display and interaction technology, and in particular to a method and system for implementing behavioral wallpaper based on a vehicle cockpit. Background Art

[0002] With the rapid development of smart cars and in-vehicle infotainment (IVI) technology, cockpit interfaces have evolved from static icons and text displays to comprehensive platforms integrating multimedia, navigation, voice control, and personalized themes. During this process, wallpapers, as a crucial component of the user visual experience, have also undergone a multi-stage evolution, from simple static images to dynamic graphics with dynamic effects, and finally to 2D frame animations and lightweight 3D models based on OpenGL / DirectX. Furthermore, with the application of big data and cloud computing technologies in vehicle-to-everything (V2X), wallpaper resource management is moving beyond local storage and is evolving towards cloud-based distribution, grayscale updates, and targeted push notifications. In particular, recent breakthroughs in artificial intelligence (AI) in image processing and rendering optimization have enabled dynamic wallpapers to adjust their display in real time based on factors such as user behavior, ambient lighting, and weather changes, further enhancing the immersive and personalized experience of the in-cabin experience.

[0003] However, existing dynamic wallpaper solutions still suffer from several technical shortcomings. For one thing, most systems fail to optimize wallpaper resources, relying solely on simple compression or downgraded loading. This leads to excessive network bandwidth usage, significant response delays, and difficulty ensuring smooth switching during driving. Furthermore, wallpaper rendering often lacks comprehensive utilization of multimodal data such as mileage, driving time, weather conditions, and historical driving patterns, resulting in only static or fixed animations within preset scenarios, failing to achieve real-time personalized adjustments tailored to the time, location, and individual user experience. Furthermore, most solutions fail to design hierarchical loading strategies based on client cache and network bandwidth, resulting in a sharp decline in user experience in low-bandwidth environments. Summary of the Invention

[0004] In view of the problems existing in the existing method for implementing behavioral wallpaper based on the vehicle cockpit, the present invention is proposed. Therefore, the problem to be solved by the present invention is how to provide a method and system for implementing behavioral wallpaper based on the vehicle cockpit.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a method for implementing a behavioral wallpaper based on a vehicle cockpit, comprising: obtaining wallpaper resources and optimizing them, assigning wallpaper identifiers to the optimized wallpaper resources and constructing an index table;

[0007] Obtain the target mileage received by the vehicle terminal and the mileage collected synchronously, and synchronize the target mileage value and mileage to the server;

[0008] Calculate the current wallpaper resource bloom ratio based on the target mileage and the mileage driven, retrieve a set of matching wallpaper resource identifiers, sort them according to the current wallpaper resource bloom ratio, and then load the wallpaper resources using a hierarchical loading strategy;

[0009] A wallpaper identifier set is input into the client rendering engine to generate a dynamic wallpaper frame sequence. The user's driving time, weather conditions, and historical driving patterns are integrated. Dynamic adjustment parameters are output through the CNN-RNN hybrid model, and the wallpaper rendering effect is corrected based on the dynamic adjustment parameters.

[0010] As a preferred solution of the method for implementing behavioral wallpaper based on the vehicle cabin described in the present invention, the optimization processing includes format compression, resolution adaptation and 3D model lightweighting; the index table includes wallpaper identifier, blooming stage percentage, storage path and AR attribute tag.

[0011] As a preferred solution of the method for realizing behavioral wallpaper based on the vehicle cockpit of the present invention, the expression of the blooming ratio of the current wallpaper resource is: ; in: The bloom ratio of the current wallpaper resource. is the target mileage, The number of kilometers traveled.

[0012] As a preferred solution of the method for implementing a behavioral wallpaper based on a vehicle cockpit according to the present invention, the method of loading wallpaper resources using a hierarchical loading strategy after sorting the wallpaper resources according to their blooming ratios includes: Select from the index table a set of wallpaper resources whose blooming stage percentage is less than the blooming ratio of the current wallpaper resource;

[0013] Sort the matched wallpaper resource collection in ascending order according to the percentage of blooming stage to form a candidate sequence;

[0014] The client checks the local wallpaper resource cache and uses the cached parts directly; the missing parts are downloaded incrementally from the server in a streaming manner using a hierarchical loading strategy, with priority given to the wallpapers that will be displayed in the next stage.

[0015] The client loads wallpaper images and transitions them sequentially according to the blooming ratio of the current wallpaper resource, achieving a progressive blooming visual experience.

[0016] As a preferred solution of the method for realizing a behavioral wallpaper based on a vehicle cockpit according to the present invention, the generating of a dynamic wallpaper frame sequence includes: The rendering engine receives a set of wallpaper identifiers retrieved from the server, each wallpaper identifier corresponds to a set of textures;

[0017] A double-buffered architecture is used to generate dynamic wallpaper frame sequences. The front buffer is the currently displayed frame sequence, and the back buffer is the next set of frame sequences generated by the rendering thread. The rendering thread continuously generates frame sequences in the back buffer in the order of the blooming stage.

[0018] Whenever the back buffer frame sequence reaches a synchronization point, the rendering engine performs buffer swapping to generate a dynamic wallpaper frame sequence.

[0019] As a preferred solution of the method for implementing a behavioral wallpaper based on a vehicle cockpit according to the present invention, the method of outputting dynamic adjustment parameters through a CNN-RNN hybrid model includes:

[0020] Collect the user's driving time, weather conditions and historical driving patterns, and combine the driving time and weather conditions into a time series vector;

[0021] The CNN-RNN hybrid model outputs dynamic adjustment parameters, and the CNN branch extracts features from the speed-time curve in the historical driving pattern and outputs the first eigenvector;

[0022] The RNN branch concatenates the time series vector and the first feature vector, inputs them into the LSTM / GRU network, and outputs the second feature vector.

[0023] Output dynamic adjustment parameters, including color saturation adjustment coefficient and target mileage correction value; the expression of color saturation adjustment coefficient is: ; in: is the color saturation adjustment coefficient, is the activation function, is the second eigenvector, is the weight vector of the color saturation output layer, is the bias term of the color saturation output layer; The target mileage correction expression is: ; in: is the target mileage correction value, is the weight vector of the kilometer correction output layer, is the bias term of the kilometer correction output layer.

[0024] As a preferred solution of the method for implementing a behavioral wallpaper based on a vehicle cockpit according to the present invention, the method of modifying the wallpaper rendering effect based on the dynamic adjustment parameters includes: In the pixel shader, adjust the original wallpaper resource color according to the color saturation adjustment coefficient, which is expressed as: ; in: For the corrected wallpaper resource color, For the original wallpaper resource color; Correct the target mileage and update the target mileage to: ; in: is the corrected target mileage;

[0025] The client receives the corrected wallpaper resource color and target mileage, and updates the dashboard and wallpaper preview.

[0026] In a second aspect, the present invention provides a behavioral wallpaper implementation system based on a vehicle cockpit, comprising: a processing module for acquiring wallpaper resources and performing optimization processing, assigning wallpaper identifiers to the optimized wallpaper resources and constructing an index table;

[0027] The receiving module is used to obtain the target mileage received by the vehicle terminal and the mileage collected synchronously, and synchronize the target mileage value and the mileage to the server terminal;

[0028] A calculation module is used to calculate the current wallpaper resource blooming ratio based on the target mileage and the mileage driven, and retrieve a set of matching wallpaper resource identifiers, sorting them according to the current wallpaper resource blooming ratio and loading the wallpaper resources using a hierarchical loading strategy;

[0029] The correction module is used to input a set of wallpaper identifiers into the client rendering engine to generate a dynamic wallpaper frame sequence, integrate the user's driving time, weather conditions and historical driving patterns, output dynamic adjustment parameters through the CNN-RNN hybrid model, and correct the wallpaper rendering effect based on the dynamic adjustment parameters.

[0030] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, it implements the steps of a method for implementing behavioral wallpaper based on a vehicle cabin.

[0031] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, the steps of a method for implementing a behavioral wallpaper based on a vehicle cabin are implemented.

[0032] The beneficial effects of the present invention are as follows: the present invention not only realizes the refined management and efficient retrieval of wallpaper resources, but also ensures the accuracy and reliability of mileage mapping; combined with the hierarchical loading strategy, it reduces network and storage pressure and shortens loading delay; and through the dynamic adjustment of rendering parameters driven by the AI ​​model, it realizes the optimization of visual effects that vary according to time, place and person, significantly improving the system response performance, resource utilization efficiency and user interactive immersion experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 The present invention is a flowchart of a method for implementing behavioral wallpaper based on a vehicle cockpit. DETAILED DESCRIPTION

[0035] To make the above-mentioned objects, features, and advantages of the present invention more easily understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0036] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0037] Secondly, an embodiment or embodiments herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearance of "an embodiment" in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is exclusive or selectively mutually exclusive of other embodiments.

[0038] Reference Figure 1 , which is the first embodiment of the present invention, provides a method for implementing behavioral wallpaper based on a vehicle cockpit, including:

[0039] S1: Obtain wallpaper resources and optimize them, assign wallpaper identifiers to the optimized wallpaper resources and build an index table;

[0040] Specifically, a distributed storage system is deployed on the server side to integrate multi-stage blooming 2D wallpaper images and AR-enhanced 3D wallpaper resources; wallpaper resources are deeply optimized, including format compression, resolution adaptation and 3D model lightweighting; a wallpaper identifier is assigned to each optimized wallpaper resource and an index table is constructed, which associates the wallpaper identifier, blooming stage percentage, storage path and AR attribute tag.

[0041] S2: Obtain the target mileage received by the vehicle computer and the mileage collected synchronously, and synchronize the target mileage value and mileage to the server;

[0042] Specifically, the target mileage value input by the user is received through the vehicle system, and the target mileage value supports multi-modal input such as voice commands, touch operations or gesture recognition; the vehicle's mileage is collected in real time, and the target mileage value and mileage are synchronized to the server.

[0043] S3: Calculate the current wallpaper resource bloom ratio based on the target mileage and the mileage driven, retrieve a set of matching wallpaper resource identifiers, sort them according to the current wallpaper resource bloom ratio, and load the wallpaper resources using a hierarchical loading strategy;

[0044] Specifically, the client periodically sends the current mileage to the server, and the user enters the target mileage through multimodal methods (voice, gesture, touch), indicating the total mileage expected to complete a certain journey or activity.

[0045] The current wallpaper resource bloom ratio is calculated based on the target mileage and the mileage driven, expressed as: ; in: The bloom ratio of the current wallpaper resource. is the target mileage, is the number of kilometers traveled; Perform wallpaper resource matching and select from the index table a set of wallpaper resources whose blooming stage percentage is less than the blooming ratio of the current wallpaper resource.

[0046] The matched wallpaper resource collection is sorted in ascending order according to the percentage of blooming stage to form a candidate sequence.

[0047] The client checks the local wallpaper resource cache and uses the cached part directly; the missing part is downloaded incrementally from the server in a streaming manner through a hierarchical loading strategy, with priority given to downloading the wallpapers of the stage that will be displayed.

[0048] The client loads wallpaper images or 3D model resources, and displays them in a transitional order according to the blooming ratio of the current wallpaper resources, achieving a progressive blooming visual experience.

[0049] S4: Input the wallpaper identifier set into the client rendering engine to generate a dynamic wallpaper frame sequence, integrate the user's driving time, weather conditions and historical driving patterns, output dynamic adjustment parameters through the CNN-RNN hybrid model, and correct the wallpaper rendering effect based on the dynamic adjustment parameters.

[0050] Specifically, the wallpaper identifier set is input into the client rendering engine, and the double buffering technology is used to generate a wallpaper frame sequence; the user's driving time, weather and historical driving pattern data are input, and the pre-trained CNN-RNN hybrid model outputs dynamic adjustment parameters, which include color saturation and target kilometer value correction; the wallpaper rendering effect is corrected in real time based on the dynamic adjustment parameters, and the corrected target kilometer value and wallpaper status are synchronized to the vehicle end through the interconnection module.

[0051] The rendering engine receives a set of wallpaper identifiers retrieved from the server, and each wallpaper identifier corresponds to a set of textures.

[0052] The dual-buffer architecture uses a front buffer for the currently displayed frame sequence and a back buffer for the next frame sequence generated by the rendering thread. The rendering pipeline continuously generates frames in the back buffer in the blooming phase order. Whenever the back buffer frame sequence is ready (or reaches a synchronization point), the rendering engine swaps the buffers and generates a dynamic wallpaper frame sequence, ensuring that the rendering and display threads do not block each other, achieving a stable frame rate and tear-free display.

[0053] Collect user driving time, weather conditions, and historical driving patterns. Driving time, such as morning rush hour (07:00–09:00) and nighttime (21:00–23:00), is encoded as a one-hot or continuous timestamp. Weather conditions, obtained from onboard weather sensors or external APIs (sunny / rainy / snowy / foggy...), are also encoded. Combine driving time and weather conditions into a time series vector.

[0054] Historical driving patterns: Sequence data such as speed, acceleration, and braking frequency of several past driving trajectories.

[0055] The CNN-RNN hybrid model outputs dynamic adjustment parameters, and the CNN branch extracts features of the speed-time curve in the historical driving pattern and outputs the first eigenvector.

[0056] The RNN branch concatenates the time series vector and the first feature vector, inputs them into the LSTM / GRU network, and outputs the second feature vector.

[0057] Output dynamic adjustment parameters, including color saturation adjustment coefficient and target mileage correction value; the expression of color saturation adjustment coefficient is: ; in: is the color saturation adjustment coefficient, is the activation function, is the second eigenvector, is the weight vector of the color saturation output layer, is the bias term of the color saturation output layer; The target mileage correction expression is: ; in: is the target mileage correction value, is the weight vector of the kilometer correction output layer, is the bias term of the kilometer correction output layer; Perform real-time rendering correction. In the pixel shader, adjust the original wallpaper resource color according to the color saturation adjustment coefficient, which is expressed as: ; in: For the corrected wallpaper resource color, For the original wallpaper resource color; Correct the target mileage and update the target mileage to: ; in: This is the corrected target mileage. This correction value is only reflected in the UI layer and does not affect the background statistics and indexing logic.

[0058] After receiving the information, the vehicle computer updates the dashboard and wallpaper preview to keep it synchronized with the visual and mileage information on the vehicle computer.

[0059] Furthermore, this embodiment also provides a behavioral wallpaper implementation system based on a vehicle cockpit, comprising: a processing module for acquiring wallpaper resources and performing optimization processing, assigning wallpaper identifiers to the optimized wallpaper resources and constructing an index table;

[0060] The receiving module is used to obtain the target mileage received by the vehicle terminal and the mileage collected synchronously, and synchronize the target mileage value and the mileage to the server terminal;

[0061] A calculation module is used to calculate the current wallpaper resource blooming ratio based on the target mileage and the mileage driven, and retrieve a set of matching wallpaper resource identifiers, sorting them according to the current wallpaper resource blooming ratio and loading the wallpaper resources using a hierarchical loading strategy;

[0062] The correction module is used to input a set of wallpaper identifiers into the client rendering engine to generate a dynamic wallpaper frame sequence, integrate the user's driving time, weather conditions and historical driving patterns, output dynamic adjustment parameters through the CNN-RNN hybrid model, and correct the wallpaper rendering effect based on the dynamic adjustment parameters.

[0063] This embodiment also provides a computer device, which is suitable for a method for implementing behavioral wallpaper based on a vehicle cabin, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement all or part of the steps of the method described in the embodiment of the present invention as proposed in the above embodiment.

[0064] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, executes the method of any optional implementation of the above embodiment. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0065] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. Technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0066] In summary, this method not only achieves refined management and efficient retrieval of wallpaper resources, but also ensures accurate and reliable mileage mapping. Combined with a hierarchical loading strategy, it reduces network and storage pressure and shortens loading latency. Furthermore, through dynamic adjustment of rendering parameters driven by the AI ​​model, it achieves optimized visual effects that vary according to time, location, and individual user experience, ultimately significantly improving system responsiveness, resource utilization efficiency, and the user's interactive immersive experience.

[0067] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for implementing behavioral wallpaper in a vehicle cockpit, characterized by: include, Obtaining wallpaper resources and optimizing them, assigning wallpaper identifiers to the optimized wallpaper resources and building an index table; Obtain the target mileage received by the vehicle terminal and the mileage collected synchronously, and synchronize the target mileage value and mileage to the server; Calculate the current wallpaper resource bloom ratio based on the target mileage and the mileage driven, retrieve a set of matching wallpaper resource identifiers, sort them according to the current wallpaper resource bloom ratio, and then load the wallpaper resources using a hierarchical loading strategy; A wallpaper identifier set is input into the client rendering engine to generate a dynamic wallpaper frame sequence. The user's driving time, weather conditions, and historical driving patterns are integrated. Dynamic adjustment parameters are output through the CNN-RNN hybrid model, and the wallpaper rendering effect is corrected based on the dynamic adjustment parameters.

2. The method for implementing behavioral wallpaper in a vehicle cockpit according to claim 1, characterized in that: The optimization process includes format compression, resolution adaptation and 3D model lightweighting; the index table includes wallpaper identifier, blooming stage percentage, storage path and AR attribute tag.

3. The method for implementing behavioral wallpaper based on a vehicle cockpit according to claim 2, characterized in that: The expression of the bloom ratio of the current wallpaper resource is: in: The bloom ratio of the current wallpaper resource. is the target mileage, The number of kilometers traveled.

4. The method for implementing behavioral wallpaper in a vehicle cockpit according to claim 3, characterized in that: The step of loading wallpaper resources by adopting a hierarchical loading strategy after sorting the wallpaper resources according to their blooming ratios includes: Select from the index table a set of wallpaper resources whose blooming stage percentage is less than the blooming ratio of the current wallpaper resource; Sort the matched wallpaper resource collection in ascending order according to the percentage of blooming stage to form a candidate sequence; The client checks the local wallpaper resource cache and uses the cached parts directly; the missing parts are downloaded incrementally from the server in a streaming manner using a hierarchical loading strategy, with priority given to the wallpapers that will be displayed in the next stage. The client loads wallpaper images and transitions them sequentially according to the blooming ratio of the current wallpaper resource, achieving a progressive blooming visual experience.

5. The method for implementing behavioral wallpaper based on a vehicle cockpit according to claim 4, characterized in that: Generating a dynamic wallpaper frame sequence includes: The rendering engine receives a set of wallpaper identifiers retrieved from the server, each wallpaper identifier corresponds to a set of textures; A double-buffered architecture is used to generate dynamic wallpaper frame sequences. The front buffer is the currently displayed frame sequence, and the back buffer is the next set of frame sequences generated by the rendering thread. The rendering thread continuously generates frame sequences in the back buffer in the order of the blooming stage. Whenever the back buffer frame sequence reaches a synchronization point, the rendering engine performs buffer swapping to generate a dynamic wallpaper frame sequence.

6. The method for implementing behavioral wallpaper based on a vehicle cockpit according to claim 5, characterized in that: The dynamic adjustment parameters output by the CNN-RNN hybrid model include: Collect the user's driving time, weather conditions and historical driving patterns, and combine the driving time and weather conditions into a time series vector; The CNN-RNN hybrid model outputs dynamic adjustment parameters, and the CNN branch extracts features from the speed-time curve in the historical driving pattern and outputs the first eigenvector; The RNN branch concatenates the time series vector and the first feature vector, inputs them into the LSTM / GRU network, and outputs the second feature vector. Output dynamic adjustment parameters, including color saturation adjustment coefficient and target mileage correction value; the expression of color saturation adjustment coefficient is: in: is the color saturation adjustment coefficient, is the activation function, is the second eigenvector, is the weight vector of the color saturation output layer, is the bias term of the color saturation output layer; The target mileage correction expression is: in: is the target mileage correction value, is the weight vector of the kilometer correction output layer, is the bias term of the kilometer correction output layer.

7. The method for implementing behavioral wallpaper based on a vehicle cockpit according to claim 6, characterized in that: The method of modifying the wallpaper rendering effect according to the dynamic adjustment parameters includes: In the pixel shader, adjust the original wallpaper resource color according to the color saturation adjustment coefficient, which is expressed as: in: For the corrected wallpaper resource color, For the original wallpaper resource color; Correct the target mileage and update the target mileage to: in: is the corrected target mileage; The vehicle receives the corrected wallpaper resource color and target mileage, and updates the instrument panel and wallpaper preview.

8. A system for implementing behavioral wallpaper in a vehicle cockpit, based on the method for implementing behavioral wallpaper in a vehicle cockpit according to any one of claims 1 to 7, characterized in that: include, A processing module is used to obtain wallpaper resources and perform optimization processing, assign wallpaper identifiers to the optimized wallpaper resources and construct an index table; The receiving module is used to obtain the target mileage received by the vehicle terminal and the mileage collected synchronously, and synchronize the target mileage value and the mileage to the server terminal; A calculation module is used to calculate the current wallpaper resource blooming ratio based on the target mileage and the mileage driven, and retrieve a set of matching wallpaper resource identifiers, sorting them according to the current wallpaper resource blooming ratio and loading the wallpaper resources using a hierarchical loading strategy; The correction module is used to input a set of wallpaper identifiers into the client rendering engine to generate a dynamic wallpaper frame sequence, integrate the user's driving time, weather conditions and historical driving patterns, output dynamic adjustment parameters through the CNN-RNN hybrid model, and correct the wallpaper rendering effect based on the dynamic adjustment parameters.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for implementing a behavioral wallpaper based on a vehicle cabin as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for implementing a behavioral wallpaper based on a vehicle cabin as described in any one of claims 1 to 7 are implemented.

Images