Interface style self-adaptive adjustment method and system based on automobile 3D model

Abstract

The invention relates to the technical field of human-computer interaction interface management, and provides an interface style self-adaptive adjustment method and system based on an automobile 3D model, which are used for identifying multi-dimensional attribute features such as geographic features, user features and festival features in a current scene in real time, realizing style conversion through style scoring and differential adjustment, and improving the user experience. Self-adaptive adjustment of the automobile 3D model on the interface style is controlled; on one hand, by fusing user features, geographic features and festival features, dynamic self-adaptive adjustment of the automobile 3D model style is realized, flexible switching among a plurality of preset basic models can be realized, and personalized expression and rendering efficiency are considered; on the other hand, differential adjustment is conducted on the basic style of the target basic model based on the multi-dimensional attribute features, style conversion is executed through a model style generation engine, and intelligent chartlet redrawing flexibly changing along with the scene is achieved through dynamic real-time rendering.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of human-computer interaction interface management, and in particular to an interface style adaptive adjustment method and system based on a 3D model of an automobile. BACKGROUND

[0002] With the accelerated development of intelligent automobile technology, the vehicle-mounted human-computer interaction system (HMI) gradually evolves from traditional two-dimensional display to three-dimensional visual interface with more immersion. The 3D appearance model of the automobile becomes a core visual element for conveying brand personality, improving user perception, and emotional linkage.

[0003] The 3D automobile model plays an important role in intelligent cockpit design and in the field of autonomous driving, for example: (1) Through multi-modal interaction, AI intelligent partners, panoramic 3D vision, etc., it provides advanced 3D map rendering, ADAS visualization, space atmosphere creation, etc. (2) It is used for data automatic labeling and simulation data generation. Through large model technology, efficient and high-precision data labeling can be achieved, and the real road scene can be restored in the virtual space, improving the training effect and safety of the autonomous driving system.

[0004] However, the current 3D automobile model in the industry generally adopts a static unified modeling scheme, which cannot respond to environmental variables such as user characteristics, regional culture, and holiday atmosphere, resulting in a lack of personalized experience and a fragmented user perception. In addition, the texture mapping of the 3D automobile model is difficult to change flexibly with the scene, limiting the expression of holidays and culture. SUMMARY

[0005] The present application provides an interface style adaptive adjustment method and system based on a 3D model of an automobile, which solves the technical problem that the style of the existing 3D model of an automobile depends on template library graphic element coverage, the interface adjustment display is fixed and cannot be adjusted in real time, and the user experience is poor.

[0006] To solve the above technical problems, the present application provides an interface style adaptive adjustment method based on a 3D model of an automobile, comprising: identifying the current scene to obtain multi-dimensional attribute features, the multi-dimensional attribute features including one or more of geographical features, user features, and holiday features; According to the multi-dimensional attribute features, the pre-set basic model is scored, and then the target basic model that adapts to the current scene is determined from the pre-set basic model; Based on the multi-dimensional attribute features, the basic style of the target basic model is differentially adjusted to realize style conversion; According to the target basic model after style conversion, the rendering output of the 3D model of the automobile is performed, and the interface is updated and displayed.

[0007] The base scheme identifies multi-dimensional attribute features such as geographical features, user features and festival features in the current scene in real time, realizes style conversion through style scoring and differential adjustment, and controls the adaptive adjustment of the car 3D model on the interface style; on the one hand, by fusing user features, geographical features and festival features, the dynamic adaptive adjustment of the car 3D model style is realized, which can flexibly switch between multiple preset base models (realistic, Q-style and low-polygon style), and both personalized expression and rendering efficiency are taken into account; on the other hand, based on the multi-dimensional attribute features, the base style of the target base model is differentially adjusted, the style conversion is executed through the model style generation engine, and the dynamic real-time rendering realizes the intelligent redrawing of the map following the flexible changes of the scene (that is, the limitation of the template library graph element is broken, and the real interface style change following the scene is realized).

[0008] In further embodiments, the current scene is identified to obtain multi-dimensional attribute features, including: identifying the driver in the current scene, and obtaining user features based on corresponding user preferences; obtaining vehicle location data based on the current scene, and obtaining local geographical features according to the vehicle location data; obtaining real-time date and automatically identifying date to obtain festival features; The multi-dimensional attribute features include user features, geographical features and festival features.

[0009] By adjusting the 3D model to meet different user features, this scheme can provide more personalized and customized experience, enhance the user's sense of participation and satisfaction; for the geographical features of different regions, adjusting the 3D model can better meet the cultural preference needs of local users, improve the user's recognition and purchase willingness of the car model; during specific festivals, adjust the 3D model to meet the festival theme, effectively increase the user's festival atmosphere.

[0010] In further embodiments, the preset base model is scored according to the multi-dimensional attribute features, and then the target base model suitable for the current scene is determined from the preset base model, including: obtaining the style adaptation degree of each multi-dimensional attribute feature to each preset base model; based on the style adaptation degree of the multi-dimensional attribute features, the style score of each preset base model is calculated by weighting; obtaining the preset base model with the highest style score as the target base model suitable for the current scene.

[0011] In further embodiments, the weighting calculation formula of the style score is as follows:

[0012] In the formula: a total score representing the ith preset base model; an adaptation degree of a user feature to a preset base model; an adaptation degree of a geographical feature to a preset base model; an adaptation degree of a festival feature to a preset base model; respectively represent the weight coefficients of the user, the geography and the festival, and satisfy .

[0013] The scheme comprehensively weights and calculates the style scores of each preset base model according to multi-dimensional attribute features, determines the preset base model with the highest style score as the target base model adapted to the current scene, and dynamically adjusts the style of the 3D car model according to the user preference feature, the geographical and cultural feature and the festival atmosphere feature. The scheme combines multi-dimensional personalized requirements and scene adaptation capabilities, uses a multi-feature weighting adjustment strategy to convert the user portrait, spatial context and time node into design parameters, realizes the personalized experience of "thousands of people and thousands of cars", and can also control the cost through a standardized parameter system.

[0014] In a further embodiment, based on the multi-dimensional attribute features, the base style of the target base model is differentially adjusted to realize style conversion, including: obtaining the base style parameters of the target base model; determining the influence factor of each multi-dimensional attribute feature on the target base model; obtaining the influence factor of each multi-dimensional attribute feature of each target base model, performing weighted calculation to determine the adjustment amplitude, and differentially adjusting the base style parameters according to the adjustment amplitude to realize style conversion; The base style parameters include model surface number parameters and smoothness parameters.

[0015] After the target base model most suitable for the current scene is determined by comprehensively matching multi-dimensional attribute features, the scheme further fine-tunes and optimizes the parameters within the selected style framework (i.e. the base style parameters) to realize more refined 3D car model personalized adaptation. Through the two-stage dynamic adjustment mechanism, the systematization of the macro style is ensured, and the flexibility of the micro parameters is realized, fully meeting the personalized requirements while effectively balancing the user experience and the implementation cost.

[0016] In a further embodiment, based on the multi-dimensional attribute features, the base style of the target base model is differentially adjusted to realize style conversion, further including: obtaining the festival feature from the multi-dimensional attribute features, obtaining the festival theme texture and the festival factor based on the festival feature;​​ acquire a base texture from a base style of the target base model, compare the holiday theme texture with the base texture, and determine a texture difference for performing differentiated adjustment; determine a texture mapping parameter according to the holiday factor and the texture difference, and perform mapping superposition with the base texture to obtain a target texture to realize style conversion.

[0017] The scheme is based on the holiday theme texture of the holiday feature, the holiday factor, and the differentiated adjustment of the base texture of the base style. The style conversion is performed by superimposing the holiday texture on the base texture. The stable base model is maintained, and the strong holiday atmosphere expression is realized through light dynamic adjustment.

[0018] In further embodiments, rendering output of the automobile 3D model is performed according to the target base model after style conversion, and interface update display is performed, including: generate a style conversion keyword according to the target texture, and then generate a map based on the style conversion keyword and limit mapping to the body UV area; use the Unreal engine to dynamically bind the model parameters of the target base model after style conversion, real-time rendering output of the stylized automobile model, and access to the HMI vehicle-mounted system to realize interface update display.

[0019] The scheme realizes holiday texture redrawing of the body area by precisely controlling the model surface number and smoothness and generating a style conversion keyword based on the holiday factor, and creates an immersive atmosphere experience. The texture pattern is only mapped to the body UV area, and does not interfere with the functional structure area, so as to ensure overall visual coordination and functional safety.

[0020] In further embodiments, it also includes detecting user operation data after interface update display, updating the weight coefficient and influence factor corresponding to the user feature according to the user operation data, and performing user feedback closed-loop optimization.

[0021] The scheme sets the user feedback closed-loop optimization logic to provide a real-time update and feedback mechanism, which can continuously optimize the style matching effect and improve the personalized expression and user perception value of the vehicle-mounted HMI system.

[0022] The application also provides an interface style self-adaptive adjustment system based on an automobile 3D model, including: a processor, a memory connected thereto, and a data acquisition module; The data acquisition module is used to identify a current scene to acquire multi-dimensional attribute features, and the multi-dimensional attribute features at least include one or more of geographical features, user features, and holiday features; The memory stores instructions executable by the processor; The processor is configured to implement the interface style adaptive adjustment method based on the automobile 3D model as described above when executing the instructions.

[0023] In further embodiments, the data acquisition module comprises a GPS positioning module, a user information module and a date processing module; The GPS positioning module is used to obtain vehicle location data, obtain climate data of the current area through a weather interface, and identify humanistic preferences of the current area from a historical database to obtain geographical features; The user information module is used to determine user information through face recognition, and determine user characteristics according to personalized preferences of the user information; The date processing module is used to identify whether a specific festival is currently ongoing through a built-in calendar and holiday database, and further obtain festival characteristics.

[0024] The present scheme automatically activates corresponding festival textures through a system clock / network time protocol (NTP), without the need for manual operation by the user. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 is a workflow diagram of the interface style adaptive adjustment method based on the automobile 3D model provided by the embodiments of the present application. DETAILED DESCRIPTION

[0026] The embodiments of the present application will be described in detail below with reference to the accompanying drawings, and the embodiments are provided only for illustrative purposes, and cannot be understood as limiting the present application, including the accompanying drawings for reference and illustration only, and do not constitute a limitation on the scope of protection of the present application, because many changes can be made to the present application without departing from the spirit and scope of the present application.

[0027] Embodiment 1 The interface style adaptive adjustment method based on the automobile 3D model provided by the embodiments of the present application, as shown in Figure 1 In the present embodiment, steps S1-S5 are included: S1, identifying a current scene to obtain multi-dimensional attribute characteristics, the multi-dimensional attribute characteristics including one or more of geographical characteristics, user characteristics and festival characteristics; In the present embodiment, identifying a current scene to obtain multi-dimensional attribute characteristics includes: identifying a driver in the current scene, and obtaining user characteristics based on corresponding user preferences; obtaining vehicle location data based on the current scene, and obtaining local geographical characteristics based on the vehicle location data; obtaining real-time date, and automatically identifying the date to obtain festival characteristics; The multi-dimensional attribute features include user features, geographical features, and holiday features.

[0028] Among them, the user feature recognition: the system collects age, gender, and driving habit data through registration information, facial recognition, and vehicle-mounted sensors. To ensure user privacy and security, the system strictly follows the privacy policy. All user data is encrypted to ensure that it cannot be leaked or tampered with during transmission.

[0029] Based on the style preference of user features, for example: middle-aged men prefer realistic style, young women prefer soft Q-style, and young men prefer low polygon style.

[0030] Geographical feature recognition: rely on GPS module to obtain vehicle location data, obtain current regional climate data through weather interface, and identify the current regional cultural preference from historical database.

[0031] Based on the style preference of geographical features, for example: users in cold regions prefer warm realistic style, users in hot regions prefer transparent and bright Q-style, and European users prefer low saturation and minimalist style.

[0032] Holiday feature recognition: through the built-in calendar and holiday database, identify whether it is currently a specific holiday. Automatically identify and mark holiday features according to the date.

[0033] Based on the style preference of holiday features, for example: different holiday characteristics are adapted to different design styles, Mid-Autumn Festival with soft and warm realistic style to enhance the sense of reunion, Children's Day with Q-style cartoon style to highlight the affinity, and Labor Day with low saturation and low polygon style to reflect simplicity and practicality.

[0034] This embodiment can provide more personalized and customized experience by adjusting the 3D model to meet different user features, enhance user participation and satisfaction; for different geographical features of different regions, adjusting the 3D model can better meet the cultural preference needs of local users, improve user recognition and purchase willingness of the vehicle model; during specific holidays, adjust the 3D model to meet the holiday theme, effectively increase the holiday atmosphere of users.

[0035] S2, style scoring of the preset basic model according to the multi-dimensional attribute features, and then determining the target basic model that adapts to the current scene from the preset basic model, including: S21, obtaining the style adaptation degree of each multi-dimensional attribute feature to each preset basic model; Among them, the preset basic model can be set to two or more than two, for example: realistic style, Q-style, and low polygon style.

[0036] S22, based on the style adaptation degree of the multi-dimensional attribute characteristics, performing weighted calculation of the style score of each preset base model; In the embodiment, the weighted calculation formula of the style score is as follows:

[0037] In the formula, represents the total score of the i-th preset base model; represents the adaptation degree of the user characteristics to the preset base model; represents the adaptation degree of the geographical characteristics to the preset base model; represents the adaptation degree of the holiday characteristics to the preset base model; , , respectively represent the weight coefficients of the user, the geography and the holiday, and satisfy .

[0038] S23, obtaining the preset base model with the highest style score as the target base model adapted to the current scene.

[0039] Specifically, the matching relationship between the style score and the preset base model is as shown in Table 1:

[0040] Table 1 If the maximum and the second maximum difference between the three score values are less than 0.05, an experience interval is introduced to assist in judgment to improve the stability of the system.

[0041] In the embodiment, the multi-dimensional attribute characteristics are used to perform weighted calculation of the style score of each preset base model, and the preset base model with the highest style score is obtained as the target base model adapted to the current scene. The user preference characteristics, the geographical and cultural characteristics and the holiday atmosphere characteristics are used to perform weighted calculation and dynamic adjustment of the 3D car model style, which combines multi-dimensional personalized demand and scene adaptation ability. By using the multi-feature weighted adjustment strategy, the user portrait, the spatial context and the time node are converted into design parameters to realize the personalized experience of "thousands of people and thousands of cars", and the cost can be controlled through the standardized parameter system.

[0042] S3, based on the multi-dimensional attribute characteristics, performing differential adjustment on the base style of the target base model to realize style conversion, including: S31A, obtaining the base style parameters of the target base model; S32A, determining the influence factor of each multi-dimensional attribute characteristic on the target base model; S33A, obtaining influencing factors of all the multidimensional attribute features of each target basic model, performing weighted calculation to determine an adjustment amplitude, and differentially adjusting basic style parameters according to the adjustment amplitude to achieve style conversion; The basic style parameters include a model face number parameter and a smoothness parameter.

[0043] After comprehensively matching multi-dimensional attribute features to determine the target basic model that best fits the current scenario, this embodiment further fine-tunes and optimizes the parameters within the selected style framework (i.e., basic style parameters) to achieve more refined personalized adaptation of the 3D car model. Through a two-stage dynamic adjustment mechanism, it ensures the systematic nature of the macro style and the flexibility of the micro parameters, fully meeting personalized needs while effectively balancing user experience and implementation costs.

[0044] Also includes: S31B, obtaining festival features from the multidimensional attribute features, and obtaining festival theme textures and festival factors based on the festival features; S32B, obtaining a basic texture from the basic style of the target basic model, comparing the festival theme texture with the basic texture, and determining a texture difference for performing differential adjustment; S33B, determining texture mapping parameters according to the festival factor and the texture difference, and mapping and superimposing the parameters with the base texture to obtain a target texture to achieve style conversion.

[0045] This embodiment makes differentiated adjustments to the basic texture of the basic style based on the festival theme texture and festival factors of festival characteristics, and performs style conversion by superimposing the festival texture on the basic texture. While maintaining the stability of the basic model, a strong festival atmosphere expression is achieved through lightweight dynamic adjustment.

[0046] In this embodiment, the style conversion content includes three dimensions: the number of model faces, smoothness, and texture mapping. Using this basic style as the starting point for conversion, further differentiated adjustments are performed based on holiday characteristics, geographical characteristics, and user characteristics to achieve the final style refinement as follows: (1) Taking the original model as an example with 3000 faces, adjust the model complexity according to the basic style:

[0047] The formula for adjusting the number of model faces is as follows:

[0048] in, is the number of model faces after adjustment; is the total number of faces of the original input model (assuming 3000 faces); weight coefficient 、 , , respectively represent the influence degree of user characteristics, geographical characteristics and festival characteristics on style adjustment, ranging from 0 to 1; , , , respectively represent the influence factors of user characteristics, geographical characteristics and festival characteristics, ranging from 0 to 1.

[0049] The sum of the weight coefficients needs to meet the normalization requirement .

[0050] (2) The smoothness adjustment formula is as follows:

[0051] , wherein, is the adjusted smoothness; is the smoothness of the original model (set the number of model surfaces to 3000, and the smoothness is set to 5); the weight coefficient , , , respectively represent the influence degree of user characteristics, geographical characteristics and festival characteristics on style adjustment; , , , respectively represent the influence factors of user characteristics, geographical characteristics and festival characteristics, ranging from 0 to 1.

[0052] The sum of the weight coefficients needs to meet the normalization requirement .

[0053]

[0054] The pattern mapping area is limited in the body UV channel, which is realized by setting a UV map mask or an independent UV channel, only allowing the festival pattern to affect the body part, and keeping the original materials such as lamps, tires and glass.

[0055] The UV channel in the present proposal contains the position coordinate information of the texture spreading and fitting on the surface of the 3D model.

[0056] (3) The texture mapping formula is as follows:

[0057] , wherein, is the adjusted target texture; is the basic texture (set to light white metal paint, neutral standard body texture without festival element pattern); is the festival theme texture; is the festival factor, which determines the complexity of the festival texture, ranging from 0 to 1. The larger the factor, the more obvious the festival pattern color of the texture, and the more complex the design.

[0058] Table 2 below is the definition of the holiday factor corresponding to the holiday atmosphere and texture:

[0059] Table 2 S4, rendering output of the automobile 3D model according to the target base model after style conversion, and performing interface update display, including: S41, generating a style conversion keyword according to the target texture, and then generating a map based on the style conversion keyword and limiting mapping to the body UV area; Specifically, the style conversion keyword is automatically generated by a preset template, which is used to generate holiday textures to make the texture closer to the actual "car clothing style" demand. The keyword framework is: Prompt = tone description + holiday pattern elements + application method + surface texture + limited area.

[0060] For example: The prompt word is generated: "pink and purple gradient as the main tone, with rose, gift box, and heart ribbon patterns, soft visual, high-end car body coating effect, limited to drawing on the car body UV area, avoiding covering the glass and light area".

[0061] Among them, the generated map is limited to mapping to the body UV area, ensuring that the lamps, glass, etc. remain original materials.

[0062] S42, using Unreal engine to dynamically bind the model parameters (i.e. model surface number, smoothness and texture) of the target base model after style conversion, real-time rendering output of the stylized car model, and accessing the HMI vehicle system to realize interface update display.

[0063] This embodiment realizes the holiday texture redrawing of the body area limit by precisely controlling the model surface number and smoothness, and generating a style conversion keyword based on the holiday factor, creating an immersive atmosphere experience. The texture pattern is only mapped to the body UV area, without interfering with the functional structure area, to ensure overall visual coordination and functional safety.

[0064] S5, after the interface update display, detecting user operation data, updating the weight coefficient corresponding to the user characteristics and the influence factor according to the user operation data, and executing user feedback closed-loop optimization.

[0065] Among them, the user operation data includes but is not limited to the number of manual switching styles, dwell time, voice preference settings, etc. By updating the characteristic factors and weights, the style recommendation accuracy and personalized expression ability are continuously improved.

[0066] The embodiment sets up user feedback closed-loop optimization logic to provide real-time updating and feedback mechanism, which can continuously optimize the style matching effect, and improve the personalized expression and user perception value of the vehicle-mounted HMI system.

[0067] In the embodiment, a group of specific user and scene data are calculated to output the model parameter and holiday texture map style after style adjustment, and the specific interface style adaptive adjustment process is as follows: v1, input setting: Original model surface number: =3000; Original smoothness: =5; v2, input condition, influence factor of user characteristics, geographical characteristics and holiday characteristics: Current holiday (Valentine's Day): ; User characteristics (young women): ; Geographical location (tropical region): ; Pre-trial weight coefficient: , , .

[0068] v3, calculate style score: Use the scoring formula:

[0069]

[0070]

[0071]

[0072] The system selects the Q version style with the highest score as the basic style.

[0073] v4, surface number adjustment:

[0074]

[0075] The model surface number is adjusted to 2070 surfaces, which belongs to the Q version style range (1200-2400).

[0076] v5, smoothness adjustment:

[0077]

[0078] The smoothness is adjusted to 3.45, which is in line with the Q-version style range (3.0-3.9).

[0079] v6, Texture Mapping Adjustment: According to the above conditions, add and condition: Current holiday (Valentine's Day): ; Holiday Textures (Valentine's Day): =Pink gradient+rose element pattern; Base texture: =Light white standard body finish.

[0080]

[0081]

[0082] Operation results: The texture complexity is medium-high, using Valentine's Day-exclusive roses, ribbons, and gift elements. The color tone is pink and purple, suitable for the "car cover" style and limited to the UV area of ​​the car body.

[0083] v7. Style conversion keyword generation: After generating the prompt word, the system passes the prompt word as input to the image generation module as follows: "The main colors are pink and purple gradients, with patterns of roses, gift boxes, and heart ribbons. It has a soft visual effect and a style that tends to be a high-end body paint effect. It is limited to painting on the UV area of ​​the car body to avoid covering the glass and lighting areas."

[0084] After calculation, the output 1024x1024png texture image will be applied to the corresponding material channel of the car body UV map.

[0085] v8, output binding phase: The Unreal game rendering engine on the car performs real-time mapping based on the UV coordinates of the model, ensuring that the texture is applied to the UV area of ​​the car body while other materials remain unchanged.

[0086] v9. Final output style judgment: Model face count: 2070, Q-version style; Smoothness: 3.45 is round and soft; Texture: Pink and purple color + Valentine's Day elements, festive car cover texture.

[0087] v10, results: According to the input features, the style quick conversion is completed, a Q version style model is output, and a Valentine's Day theme car skin texture pattern is dynamically applied, which is limited to the UV area of the car body, and finally a 3D model appearance of the car that adapts to the festival atmosphere and meets the user's preference is generated.

[0088] The embodiment of the present application identifies multi-dimensional attribute features such as geographical features, user features and festival features in the current scene in real time, realizes style conversion through style scoring and differential adjustment, and controls the adaptive adjustment of the car 3D model on the interface style; on the one hand, through the fusion of user features, geographical features and festival features, the dynamic adaptive adjustment of the car 3D model style is realized, which can flexibly switch between multiple preset basic models (realistic, Q version style and low polygon style), and both personalized expression and rendering efficiency are taken into account; on the other hand, based on the multi-dimensional attribute features, the basic style of the target basic model is adjusted differentially, the style conversion is executed through the model style generation engine, and the intelligent redrawing of the map following the flexible changes of the scene (i.e. breaking away from the limitations of the template library graph elements, and truly realizing the changes of the interface style following the scene) is dynamically and real-timely rendered.

[0089] The present scheme realizes the three-dimensional model level style dynamic reconstruction scheme which cannot be covered by the interface template type technology through multiple dimensions such as parameter driven modeling adjustment, algorithmic texture generation, rendering binding output and feedback optimization mechanism, is real-timely bound to the engine output, and realizes the dimensional breakthrough from "visual theme selection" to "model style generation engine".

[0090] Embodiment 2 The embodiment of the present application also provides an interface style adaptive adjustment system based on a car 3D model, which comprises: a processor, a memory connected thereto and a data acquisition module; The data acquisition module is used to identify the current scene to obtain multi-dimensional attribute features, and the multi-dimensional attribute features at least include one or more of geographical features, user features and festival features; The memory stores instructions executable by the processor; The processor is configured to execute the instructions to realize the interface style adaptive adjustment method based on the car 3D model as described above.

[0091] In the present embodiment, the data acquisition module comprises a GPS positioning module, a user information module and a date processing module; The GPS positioning module is used to obtain vehicle position data, obtain climate data of the current area through a weather interface, and obtain geographical features from a historical database by identifying the cultural preferences of the current area; The user information module (for example, a face recognition module including a camera) is used to determine user information through face recognition (in other embodiments, user information can also be determined according to manual input of the user) and determine user characteristics according to personalized preferences of the user information; The date processing module is used to identify whether a specific festival is currently ongoing through a built-in calendar and holiday database, and further obtain festival characteristics.

[0092] The embodiment automatically activates corresponding festival textures through a system clock / network time protocol (NTP), without manual operation of the user.

[0093] The above embodiment is a preferred embodiment of the present application, but the embodiments of the present application are not limited to the above embodiment, and any change, modification, substitution, combination, simplification, etc. made without departing from the spirit and principle of the present application should be an equivalent replacement mode, and all are included in the protection scope of the present application.

Claims

1. A method for adaptively adjusting the interface style based on a 3D car model, characterized in that: include: Identify the current scene to obtain multidimensional attribute features, where the multidimensional attribute features include at least one or more of geographical features, user features, and festival features; Performing style scoring on the preset basic models according to the multi-dimensional attribute features, and then determining a target basic model adapted to the current scene from the preset basic models; Based on the multi-dimensional attribute features, differentially adjusting the basic style of the target basic model to achieve style conversion; The car 3D model is rendered and output based on the target base model after style conversion, and the interface is updated and displayed.

2. The method for adaptively adjusting the interface style based on a 3D car model according to claim 1, characterized in that: Identify the current scene to obtain multi-dimensional attribute features, including: Identify the driver in the current scene and obtain user characteristics based on the corresponding user preferences; Acquiring vehicle location data based on the current scenario, and obtaining local geographic features based on the vehicle location data; Get the real-time date and automatically identify the date to obtain holiday features; The multidimensional attribute features include user features, geographical features and the festival features.

3. The method for adaptively adjusting the interface style based on a 3D car model according to claim 2, characterized in that: Performing a style score on the preset basic model according to the multi-dimensional attribute features, and then determining a target basic model adapted to the current scene from the preset basic model, including: Obtaining the style adaptability of each of the multidimensional attribute features to each preset basic model; Based on the style adaptability of the multi-dimensional attribute features, weighted calculation is performed on the style score of each preset basic model; The preset basic model with the highest style score is obtained and determined as the target basic model adapted to the current scene.

4. The method for adaptively adjusting the interface style based on a 3D car model according to claim 3, characterized in that: The weighted calculation formula for the style score is as follows: Where: Represents the total score of the i-th preset basic model; Represents the adaptability of user characteristics to the preset basic model; Represents the adaptability of geographical features to the preset basic model; Represents the adaptability of festival characteristics to the preset basic model; 、 、 Represent the weight coefficients of users, geography and festivals respectively, and satisfy .

5. The method for adaptively adjusting the interface style based on a 3D car model according to claim 4, characterized in that: Based on the multi-dimensional attribute features, differentially adjusting the basic style of the target basic model to achieve style conversion includes: Obtaining basic style parameters of the target basic model; Determining the impact factor of each of the multidimensional attribute features on the target basic model; Obtaining influencing factors of all the multidimensional attribute features of each target basic model, performing weighted calculation to determine an adjustment amplitude, and differentially adjusting basic style parameters according to the adjustment amplitude to achieve style conversion; The basic style parameters include a model face number parameter and a smoothness parameter.

6. The method for adaptively adjusting the interface style based on a 3D car model according to claim 5, characterized in that: Based on the multi-dimensional attribute features, differentially adjusting the basic style of the target basic model to achieve style conversion also includes: Obtaining festival features from the multidimensional attribute features, and obtaining festival theme textures and festival factors based on the festival features; Obtaining a base texture from a base style of the target base model, comparing the festival theme texture with the base texture, and determining a texture difference for performing differential adjustment; Texture mapping parameters are determined according to the festival factor and the texture difference, and mapped and superimposed with the base texture to obtain a target texture to achieve style conversion.

7. The method for adaptively adjusting the interface style based on a 3D car model according to claim 6, characterized in that: Render and output the car 3D model based on the target base model after style conversion, and perform interface update and display, including: Generating style conversion keywords according to the target texture, and then generating a map based on the style conversion keywords and limiting the mapping to the vehicle body UV area; The Unreal engine is used to dynamically bind the model parameters of the target base model after style conversion, and the stylized car model is rendered and output in real time. It is then connected to the HMI vehicle system to implement interface updates and displays.

8. The method for adaptively adjusting the interface style based on a 3D car model according to claim 5, characterized in that: Also includes: After the interface is updated and displayed, the user operation data is detected, and the weight coefficients and influencing factors corresponding to the user features are updated according to the user operation data, and user feedback closed-loop optimization is performed.

9. An interface style adaptive adjustment system based on a 3D car model, characterized in that: include: Processor and memory and data acquisition module connected thereto; The data acquisition module is used to identify the current scene to obtain multi-dimensional attribute features, wherein the multi-dimensional attribute features include at least one or more of geographical features, user features, and festival features; The memory stores instructions executable by the processor; When the processor is configured to execute the instructions, it implements the method for adaptively adjusting the interface style based on a 3D car model as described in any one of claims 1 to 8.

10. The interface style adaptive adjustment system based on a 3D car model according to claim 9, characterized in that: The data acquisition module includes a GPS positioning module, a user information module and a date processing module; The GPS positioning module is used to obtain vehicle location data, obtain climate data of the current area through the weather interface, and identify the humanistic preferences of the current area from the historical database to obtain geographical features; The user information module is used to determine user information through face recognition, and determine the user's personalized preferences based on the user information to obtain user characteristics; The date processing module is used to identify whether it is a specific holiday through the built-in calendar and holiday database, and then obtain holiday characteristics.

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