Vehicle lamp language display method and device, electronic equipment and readable storage medium

Abstract

The invention provides a vehicle lamp language display method and device, electronic equipment and a readable storage medium. According to one embodiment of the invention, the method comprises the following steps: obtaining self-defined data which is input by a target user and corresponds to a self-defined lamp language; inputting the user-defined data into a pre-trained multi-modal model for reasoning calculation to obtain an effect image corresponding to the user-defined lamp language; and performing mixed arrangement on the effect image and the custom data to obtain a lamp language image after mixed arrangement, and outputting the lamp language image through carried lighting equipment. According to the invention, the user experience can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a method, device, electronic device and readable storage medium for displaying vehicle light language. Background Art

[0002] Digital light language is a way of conveying information through digital display screens or lighting equipment. It usually conveys specific instructions or messages based on different numbers, letters or symbols, and is commonly seen in public transportation systems, commercial advertisements, event instructions and other occasions.

[0003] In actual applications, the vehicle's central control system can also provide digital light display services to provide users with more riding fun.

[0004] Specifically, the central control system usually pre-stores multiple light language templates. When the user needs to obtain the light language display service, he can select the target light language template from the multiple light language templates, and the central control system outputs and displays the light language image corresponding to the target light language template.

[0005] In this case, when the user wants to display the vehicle lights, he needs to click on each of the multiple light language templates one by one before he can select one, resulting in low service efficiency of the light language display service. Moreover, the number of light language templates is limited, and the user may not be able to select a very satisfactory light language template from them, resulting in a poor user experience. Summary of the invention

[0006] The present disclosure provides a method for displaying vehicle light language, the method comprising:

[0007] Get the custom data corresponding to the custom light language input by the target user;

[0008] Inputting the custom data into the pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language;

[0009] The effect image and the custom data are mixed to obtain a mixed light language image, and the light language image is output through the installed lighting equipment.

[0010] Optionally, the multimodal model is a machine learning model obtained by fine-tuning a pre-trained multimodal model based on custom data samples corresponding to custom light language and effect images corresponding to the custom light language.

[0011] Optionally, the custom data includes image data and / or text data.

[0012] Optionally, the lighting device is an LED screen.

[0013] Optionally, before outputting the light language image through the carried lighting equipment, the method further includes:

[0014] The light language image is displayed through a user interface installed in the vehicle's passenger space.

[0015] Optionally, the method further includes:

[0016] Determining whether the target user is satisfied with the light language image;

[0017] If it is determined that the target user is satisfied with the light language image, the light language image is further outputted through the mounted lighting equipment.

[0018] Optionally, after outputting the light language image through the carried lighting equipment, the method further includes:

[0019] Determining whether the target user is satisfied with the display effect of the light language image displayed by the lighting device;

[0020] If it is determined that the target user is satisfied with the display effect, the light language image is determined as a target light language template.

[0021] Optionally, the method further includes:

[0022] Obtaining a light language template set; wherein the light language template set includes the target light language template;

[0023] In response to the target user's selection operation on the target light language template from the light language template set, the light language image corresponding to the target light language template is outputted through the mounted lighting equipment.

[0024] Optionally, before obtaining the custom data corresponding to the custom light language input by the target user, the method further includes:

[0025] In response to receiving an activation instruction from a target user for a custom light language function, determining whether the vehicle is in a parking state;

[0026] If the vehicle is in a parking state, the custom light language function is enabled to obtain custom data corresponding to the custom light language input by the target user.

[0027] The present disclosure also provides a vehicle light language display device, the device comprising:

[0028] An acquisition unit, used to acquire custom data corresponding to the custom light language input by the target user;

[0029] An inference unit, used for inputting the custom data into a pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language;

[0030] The output unit is used to mix the effect image with the custom data to obtain a mixed light language image, and output the light language image through the installed lighting equipment.

[0031] The present disclosure also provides an electronic device, comprising a communication interface, a processor, a memory and a bus, wherein the communication interface, the processor and the memory are interconnected via the bus;

[0032] The memory stores machine-readable instructions, and the processor executes the method for displaying the vehicle light language by calling the machine-readable instructions.

[0033] The present disclosure also provides a readable storage medium, which stores machine-readable instructions. When the machine-readable instructions are called and executed by a processor, the vehicle light language display method is implemented.

[0034] The technical solution provided by the present disclosure may at least include the following beneficial effects:

[0035] Through the above embodiments, the custom data corresponding to the custom light language input by the target user can be obtained; the custom data is input into the pre-trained multimodal model for inference calculation to obtain the effect image corresponding to the custom light language; the effect image is mixed with the custom data to obtain the mixed light language image, and the light language image is output through the installed lighting equipment. Based on this, the user does not need to check and select from a large number of light language templates one by one, but only needs to input the custom data according to actual needs to obtain the light language image corresponding to the custom light language, which improves the service efficiency and flexibility of the light language display service, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0037] Figure 1 It is a system architecture diagram of a method for displaying vehicle light language according to an exemplary embodiment.

[0038] Figure 2 The present invention is a flow chart of a method for displaying vehicle light language according to an exemplary embodiment.

[0039] Figure 3 It is a schematic diagram showing a light language template set according to an exemplary embodiment.

[0040] Figure 4 It is a block diagram of a display device of vehicle light language according to an exemplary embodiment.

[0041] Figure 5 It is a hardware structure diagram of an electronic device in which a vehicle light language display device is located according to an exemplary embodiment. DETAILED DESCRIPTION

[0042] Here, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure.

[0043] It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in the present disclosure. In some other embodiments, the steps included in the method may be more or less than those described in the present disclosure.

[0044] The following describes the vehicle light language display method provided by the present disclosure through specific embodiments and in combination with specific application scenarios. The method obtains the user's custom data by inference to obtain an effect image, and mixes the effect image and the custom data to obtain a light image.

[0045] During implementation, the custom data corresponding to the custom light language input by the target user can be obtained;

[0046] The custom data can be input into a pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language;

[0047] The effect image and the custom data may be mixed to obtain a mixed light language image, and the light language image may be output through the mounted lighting equipment.

[0048] Through the above embodiments, the custom data corresponding to the custom light language input by the target user can be obtained; the custom data is input into the pre-trained multimodal model for inference calculation to obtain the effect image corresponding to the custom light language; the effect image is mixed with the custom data to obtain the mixed light language image, and the light language image is output through the installed lighting equipment. Based on this, the user does not need to check and select from a large number of light language templates one by one, but only needs to input the custom data according to actual needs to obtain the light language image corresponding to the custom light language, which improves the service efficiency and flexibility of the light language display service, thereby improving the user experience.

[0049] The present disclosure is described below through specific embodiments and in combination with specific application scenarios.

[0050] See also Figure 1 , Figure 1 FIG. 1 is a system architecture diagram showing a method for displaying vehicle light language according to an exemplary embodiment. Figure 1 As shown, the central control system carried by the vehicle can be equipped with a custom light language system, a central control device, a multimodal model, and a light language display system, wherein the custom light language system in the central control system can obtain custom data corresponding to the custom light language input by the target user, and can transmit the custom data to the central control device, which is input by the central control device into the pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language; the central control device can mix the effect image with the custom data to obtain a mixed light language image, and transmit the light language image to the light language display system, which outputs the light language image through the carried lighting equipment.

[0051] Among them, the multimodal model can be a machine learning model obtained by fine-tuning the pre-trained multimodal model based on the custom data samples corresponding to the custom light language and the effect images corresponding to the custom light language.

[0052] The custom data may include image data and / or text data.

[0053] Among them, the lighting equipment can be an LED screen.

[0054] Among them, before outputting the light language images through the installed lighting equipment, the central control system can also output and display the light language images through the user interface installed in the vehicle's passenger space.

[0055] Among them, the central control system can also determine whether the target user is satisfied with the light language image; if it is determined that the target user is satisfied with the light language image, the light language image can be further output through the installed lighting equipment.

[0056] Among them, after outputting the light language image through the installed lighting equipment, the central control system can also determine whether the target user is satisfied with the display effect of the light language image displayed by the lighting equipment; if it is determined that the target user is satisfied with the display effect, the light language image is determined as the target light language template.

[0057] Among them, the central control system can also obtain a light language template set; wherein, the light language template set can include a target light language template; the central control system can respond to the target user's selection operation for the target light language template from the light language template set, and output a light language image corresponding to the target light language template through the onboard lighting equipment.

[0058] Among them, before obtaining the custom data corresponding to the custom light language input by the target user, the central control system can determine whether the vehicle is in a parking state in response to receiving an activation instruction from the target user for the custom light language function; if the vehicle is in a parking state, the custom light language function can be enabled to obtain the custom data corresponding to the custom light language input by the target user.

[0059] See also Figure 2 , Figure 2 The present invention is a flow chart of a method for displaying vehicle light language according to an exemplary embodiment.

[0060] like Figure 2 As shown, the central control system can perform the following steps:

[0061] Step 202, obtaining the custom data corresponding to the custom light language input by the target user.

[0062] The specific content of the custom data can be set according to actual needs, and the present disclosure does not limit this.

[0063] In one embodiment shown, the custom data may include image data and / or text data.

[0064] For example, the custom data can be: "Happy New Year", or "Happy New Year 2024", or an image containing festive elements.

[0065] For another example, the custom data may include text data: "Happy New Year" and image data with festive elements.

[0066] In this way, users can input data according to actual needs and improve the flexibility of the light display service.

[0067] The specific method for obtaining the custom data can be set according to actual needs, and the present disclosure does not limit this.

[0068] For example, the voice information input by the user can be obtained through the installed voice assistant, and key information can be extracted from the voice information and converted into text data.

[0069] For another example, a user option for obtaining custom data can be output through the onboard user interface, and the user can input custom data by triggering the user option. The central control system can obtain the custom data input by the user in response to the user's triggering operation on the user option.

[0070] Among them, the custom light language may refer to the light language set by the user according to his actual needs. The central control system can generate a light language image based on the custom data by acquiring the custom data corresponding to the custom light language input by the target user.

[0071] For example, the custom data may be: "Happy New Year", and the central control system may generate a light language image adapted to the custom data according to the custom data.

[0072] In one embodiment shown, the central control system can also determine whether the vehicle is in a parking state in response to receiving an instruction from the target user to enable the custom light language function before obtaining the custom data corresponding to the custom light language input by the target user; if the vehicle is in a parking state, the custom light language function is enabled to obtain the custom data corresponding to the custom light language input by the target user.

[0073] In order to ensure the driving safety of users, users can be prevented from obtaining the light language display service during driving. Specifically, when an activation instruction for the custom light language function is received from the target user, it can be determined whether the vehicle is in the parking state, and the custom light language function can be activated when it is determined that the vehicle is in the parking state. If it is determined that the vehicle is not in the parking state, the custom light language function will be stopped.

[0074] The method for determining the parking state can be set according to actual needs, and the present disclosure does not limit this. For example, the central control system can determine whether the vehicle is in the parking state by detecting whether the wheels of the vehicle are in a locked state. If the wheels of the vehicle are in a locked state, it can be determined that the vehicle is in the parking state.

[0075] Among them, when the custom light language function is enabled, the central control system can obtain the custom data corresponding to the custom light language input by the target user.

[0076] For example, the target user can issue a voice command to the central control system: "Turn on the custom light language function." The central control system can respond to the voice command to determine whether the vehicle's wheels are in a locked state. If it is determined that the vehicle's wheels are in a locked state, it can be determined that the vehicle is in a parking state, and the custom light language function can be enabled.

[0077] It should be noted that when the custom light language function is enabled, the central control system can also output relevant prompt information to the user to remind the target user that the function has been turned on.

[0078] For example, the central control system can output voice messages to the target user through the onboard voice assistant: "The custom light language function has been turned on, please enter custom data."

[0079] In this way, the user's driving safety can be ensured while improving the user experience.

[0080] Step 204: input the custom data into the pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language.

[0081] Pre-training refers to the preliminary training of an AI model based on a large amount of unlabeled data or a wide range of data sets in advance during the training of the AI ​​model, with the aim of allowing the AI ​​model to learn common features and patterns. The pre-training stage is usually not targeted at specific tasks, but allows the model to master basic knowledge and capabilities, laying the foundation for the subsequent fine-tuning stage.

[0082] In the present disclosure, the artificial intelligence model can be pre-trained to obtain a multimodal model, so as to facilitate subsequent fine-tuning training of the multimodal model.

[0083] Among them, the pre-trained multimodal model can process and fuse information of different modalities. By integrating these different data types, the model can more comprehensively understand and generate information. In the present disclosure, the pre-trained multimodal model can be used to perform computational reasoning on custom data to obtain corresponding effect images.

[0084] Since the custom data may be text data and / or image data, the custom data may be input into a multimodal model for inference calculation to obtain an effect image corresponding to the custom light language.

[0085] For example, the custom data may be: "Happy New Year". By inputting the custom data into the multimodal model for inference calculation, an effect image adapted to the "Happy New Year" may be obtained, and the effect image may include at least a partial image of the fireworks effect.

[0086] In one embodiment shown, the multimodal model may be a machine learning model obtained by fine-tuning a pre-trained multimodal model based on custom data samples corresponding to custom light language and effect images corresponding to the custom light language.

[0087] A machine learning model can refer to a mathematical structure that learns from data through an algorithm and makes predictions or decisions. Specifically, a machine learning model can be trained based on input data (features) to recognize patterns, extract information, and make inferences on new data.

[0088] In the present disclosure, the pre-trained multimodal model can be fine-tuned based on the custom data samples corresponding to the custom light language and the effect images corresponding to the custom light language to obtain a trained multimodal model.

[0089] Among them, fine-tuning training refers to the process of further training on the basis of a pre-trained model using a specific, usually smaller dataset. Fine-tuning training can make the model better adapt to specific tasks or fields.

[0090] For example, based on a data set related to custom light language, the pre-trained multimodal model can be fine-tuned to obtain a multimodal model adapted to light language reasoning.

[0091] For another example, a data set related to the custom light language can be set based on the light language preferences of the target user, and the pre-trained multimodal model can be fine-tuned based on the data set to obtain a multimodal model adapted to the light language preferences of the target user.

[0092] In this way, the effect image corresponding to the target user's light language preferences can be accurately inferred, thereby further improving the user experience.

[0093] Step 206, mixing the effect image and the custom data to obtain a mixed light language image, and outputting the light language image through the installed lighting equipment.

[0094] Mixing refers to combining images and text data in a coordinated and aesthetically pleasing manner, thereby enhancing the viewing quality of the image. In the present disclosure, the effect image and the custom data can be mixed to generate a light language image.

[0095] For example, the custom data may be: "Happy New Year", and the effect image may be a fireworks effect image. The central control system may mix the custom data of "Happy New Year" with the fireworks effect image to obtain a mixed light language image, and may output it through the onboard lighting equipment.

[0096] It should be noted that the central control system can also optimize the mixed light language images and then output them through the installed lighting equipment.

[0097] It should be noted that the lighting equipment can be a lighting equipment installed in the vehicle passenger space, or a lighting equipment installed on the external frame of the vehicle, and the present disclosure does not limit this.

[0098] Among them, the specific type of the lighting equipment can be set according to actual needs, and the present disclosure does not limit this.

[0099] In one embodiment shown, the lighting device may be an LED screen.

[0100] LED (Light Emitting Diode Display) screen refers to a display screen made using light emitting diode technology, which is widely used in advertisements, information displays, television, stage performances, etc., and has the characteristics of high brightness and thin model. In the present disclosure, it can be used to display light images.

[0101] In one embodiment shown, before outputting the light language image through the mounted lighting equipment, the central control system may output and display the light language image through a user interface mounted in the vehicle passenger space.

[0102] In order to further enhance the user experience, the central control system can also output and display the light language image through a user interface installed in the vehicle's passenger space before outputting the light language image.

[0103] For example, the light language image can be output and displayed through a central control screen installed in the vehicle's passenger space.

[0104] In this way, users sitting in the car can also see the light language image, thereby improving the user experience.

[0105] In one embodiment shown, the central control system can determine whether the target user is satisfied with the light language image; if it is determined that the target user is satisfied with the light language image, the light language image is further outputted through the mounted lighting equipment.

[0106] Among them, the specific method of determining whether the user is satisfied can be set according to actual needs, and this disclosure does not limit this.

[0107] For example, the inquiry may be made through an onboard voice assistant, or the inquiry information may be output through an onboard user interface, and the determination may be made based on the target user's feedback information regarding the inquiry.

[0108] For another example, the central control system can output an inquiry message to the user through the onboard voice assistant: "Are you satisfied with the light language image?" If the target user's feedback information for the inquiry is: "Satisfied", then it can be determined that the target user is satisfied with the light language image, and the light language image is further output through the onboard lighting equipment.

[0109] For another example, if the target user's feedback information for the inquiry is: "Not satisfied, the fireworks effect is too dim", then it can be determined that the target user is not satisfied with the light language image, and the fireworks effect image in the original light language image can be further adjusted according to the feedback information.

[0110] It should be noted that if the user is not satisfied with the light language image, the user can input the custom data into the multimodal model for re-inference calculation to obtain a new effect image, or adjust the original light image based on the user's feedback information. This disclosure does not limit this.

[0111] In this way, the user experience can be further improved.

[0112] In one embodiment shown, after the light language image is output through the onboard lighting equipment, the central control system can also determine whether the target user is satisfied with the display effect of the light language image displayed by the lighting equipment; if it is determined that the target user is satisfied with the display effect, the light language image is determined as the target light language template.

[0113] After the central control system outputs the light language image through the onboard lighting equipment, it can determine whether the target user is satisfied with the display effect. If the target user is satisfied with the display effect, the light language image can be determined as the target light language template so that subsequent target users can directly use the target light language template, thereby avoiding repeated calculations by the central control system and saving computing resources.

[0114] For example, the custom data may be: "Happy New Year", and the light language image obtained based on the custom data may include a fireworks effect image and the custom data. The central control system may determine the light language image as the target light language template if it is determined that the target user is satisfied with the display effect of the light language image displayed by the lighting device.

[0115] In this way, repeated calculations in the central control system can be avoided and computing resources can be saved.

[0116] In one embodiment shown, the central control system can also obtain a light language template set; wherein, the light language template set can include the target light language template; in response to the target user's selection operation for the target light language template from the light language template set, the light language image corresponding to the target light language template can be output through the onboard lighting equipment.

[0117] The light language template set may include historical light language images that satisfy target users, or may include light language images pre-stored by developers.

[0118] The target user can select a target light language template from the light language template set, and the central control system can output and display the target light language template selected by the user through the installed lighting equipment.

[0119] The specific method selected by the user can be set according to actual needs, and this disclosure does not limit this.

[0120] For example, see Figure 3 , Figure 3 FIG. 1 is a schematic diagram of a light language template set according to an exemplary embodiment. Figure 3 As shown, the light language template set may include light language template_1, light language template_2, light language template_3 and light language template_4, and the light language template_2 may be a target light language template, wherein the template name of the light language template_1 may be Template Name_1, the template name of the light language template_2 may be Template Name_2, the template name of the light language template_3 may be Template Name_3, and the template name of the light language template_4 may be Template Name_4. When the target user selects the target light language template from them, a voice command may be issued to the central control system: "Show the light language template named Template Name_2", and the central control system may output and display the light language template_2 selected by the target user.

[0121] In this way, the service efficiency of the light language display service can be improved.

[0122] Meanwhile, corresponding to the above-mentioned embodiment of the method for displaying vehicle light language, the present disclosure also provides an embodiment of a device for displaying vehicle light language. Figure 4 , the device comprises:

[0123] The acquisition unit 402 is used to acquire the custom data corresponding to the custom light language input by the target user;

[0124] The inference unit 404 is used to input the custom data into the pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language;

[0125] The output unit 406 is used to mix the effect image with the custom data to obtain a mixed light language image, and output the light language image through the installed lighting equipment.

[0126] In this embodiment, the multimodal model may be a machine learning model obtained by fine-tuning a pre-trained multimodal model based on custom data samples corresponding to the custom light language and effect images corresponding to the custom light language.

[0127] In this embodiment, the above-mentioned custom data may include image data and / or text data.

[0128] In this embodiment, the lighting device may be an LED screen.

[0129] In this embodiment, the above device may further include a display unit, which is used to:

[0130] Before the light language image is output through the mounted lighting equipment, the light language image is output and displayed through a user interface mounted in the vehicle's passenger space.

[0131] In this embodiment, the above device may further include a determining unit, configured to:

[0132] Determine whether the target user is satisfied with the light language image;

[0133] If it is determined that the target user is satisfied with the light language image, the light language image is further outputted through the mounted lighting equipment.

[0134] In this embodiment, the above-mentioned determination unit may also be used for:

[0135] After the light language image is output through the mounted lighting equipment, determining whether the target user is satisfied with the display effect of the light language image displayed through the lighting equipment;

[0136] If it is determined that the target user is satisfied with the display effect, the light language image is determined as a target light language template.

[0137] In this embodiment, the acquisition unit 402 may also be used for:

[0138] Obtain a light language template set; wherein the light language template set may include the target light language template;

[0139] In response to the target user's selection operation on the target light language template from the light language template set, the light language image corresponding to the target light language template is outputted through the mounted lighting equipment.

[0140] In this embodiment, the above-mentioned determination unit may also be used for:

[0141] Before obtaining the custom data corresponding to the custom light language input by the target user, in response to receiving an activation instruction for the custom light language function from the target user, determining whether the vehicle is in a parking state;

[0142] If the above-mentioned vehicle is in a parking state, the above-mentioned custom light language function is enabled to obtain the custom data corresponding to the custom light language input by the target user.

[0143] The implementation process of the functions and effects of each module in the device is specifically described in the implementation process of the corresponding steps in the method, which will not be repeated here.

[0144] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can refer to the partial description of the method embodiments. The device embodiments described above are only schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art may understand and implement it without creative work.

[0145] The system, device or module described in the embodiments may be implemented by a computer chip or entity, or by a product having a certain function. A typical implementation device is a computer, which may be in the form of a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email transceiver, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0146] An embodiment of the present disclosure further proposes an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to implement the method described in any of the above embodiments.

[0147] Figure 5 5 is a block diagram of an electronic device according to an exemplary embodiment. For example, the electronic device 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0148] Reference Figure 5 , the electronic device 500 may include one or more of the following components: a processing component 502 , a memory 504 , a power component 506 , a multimedia component 508 , an audio component 510 , an input / output (I / O) interface 512 , a sensor component 514 , and a communication component 516 .

[0149] The processing component 502 generally controls the overall operation of the electronic device 500, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 502 may include one or more modules to facilitate the interaction between the processing component 502 and other components. For example, the processing component 502 may include a multimedia module to facilitate the interaction between the multimedia component 508 and the processing component 502.

[0150] The memory 504 is configured to store various types of data to support operations on the electronic device 500. Examples of such data include instructions for any application or method operating on the electronic device 500, contact data, phone book data, messages, pictures, videos, etc. The memory 504 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.

[0151] The power supply component 506 provides power to the various components of the electronic device 500. The power supply component 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 500.

[0152] The multimedia component 508 includes a screen that provides an output interface between the electronic device 500 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front camera and / or a rear camera. When the electronic device 500 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0153] The audio component 510 is configured to output and / or input audio signals. For example, the audio component 510 includes a microphone (MIC), and when the electronic device 500 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 504 or sent via the communication component 516. In some embodiments, the audio component 510 also includes a speaker for outputting audio signals.

[0154] I / O interface 512 provides an interface between processing component 502 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0155] The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the electronic device 500. For example, the sensor assembly 514 can detect the open / closed state of the electronic device 500, the relative positioning of components, such as the display and keypad of the electronic device 500, and the sensor assembly 514 can also detect the position change of the electronic device 500 or a component of the electronic device 500, the presence or absence of user contact with the electronic device 500, the orientation or acceleration / deceleration of the electronic device 500, and the temperature change of the electronic device 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 514 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0156] The communication component 516 is configured to facilitate wired or wireless communication between the electronic device 500 and other devices. The electronic device 500 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, 4G LTE, 5G NR, or a combination thereof. In an exemplary embodiment, the communication component 516 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0157] In an exemplary embodiment, the electronic device 500 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the method described in any of the above embodiments.

[0158] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 504 including instructions, and the instructions can be executed by a processor 520 of an electronic device 500 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0159] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in any of the above embodiments when the program is executed by a processor.

[0160] An embodiment of the present disclosure further provides a computer program product, which is configured to execute the wireless charging foreign object detection method described in any of the above embodiments.

[0161] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the disclosure disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0162] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

[0163] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

Claims

1. A method for displaying vehicle light language, characterized in that: The method comprises: Get the custom data corresponding to the custom light language input by the target user; Inputting the custom data into the pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language; The effect image and the custom data are mixed to obtain a mixed light language image, and the light language image is output through the installed lighting equipment.

2. The method according to claim 1, characterized in that The multimodal model is a machine learning model obtained by fine-tuning a pre-trained multimodal model based on custom data samples corresponding to the custom light language and effect images corresponding to the custom light language.

3. The method according to claim 1, characterized in that The custom data includes image data and / or text data.

4. The method according to claim 1, characterized in that: The lighting equipment is an LED screen.

5. The method according to claim 1, characterized in that Before outputting the light language image through the carried lighting equipment, the method further includes: The light language image is displayed through a user interface installed in the vehicle's passenger space.

6. The method according to claim 5, characterized in that The method further comprises: Determining whether the target user is satisfied with the light language image; If it is determined that the target user is satisfied with the light language image, the light language image is further outputted through the mounted lighting equipment.

7. The method according to claim 1, characterized in that After outputting the light language image through the mounted lighting equipment, the method further includes: Determining whether the target user is satisfied with the display effect of the light language image displayed by the lighting device; If it is determined that the target user is satisfied with the display effect, the light language image is determined as a target light language template.

8. The method according to claim 7, characterized in that The method further comprises: Obtaining a light language template set; wherein the light language template set includes the target light language template; In response to the target user's selection operation on the target light language template from the light language template set, the light language image corresponding to the target light language template is outputted through the mounted lighting device.

9. The method according to claim 1, characterized in that: Before obtaining the custom data corresponding to the custom light language input by the target user, the method further includes: In response to receiving an activation instruction from a target user for a custom light language function, determining whether the vehicle is in a parking state; If the vehicle is in a parking state, the custom light language function is enabled to obtain custom data corresponding to the custom light language input by the target user.

10. A vehicle light language display device, characterized in that: The device comprises: An acquisition unit, used to acquire custom data corresponding to the custom light language input by the target user; An inference unit, used for inputting the custom data into a pre-trained multimodal model for inference calculation to obtain an effect image corresponding to the custom light language; The output unit is used to mix the effect image with the custom data to obtain a mixed light language image, and output the light language image through the installed lighting equipment.

11. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is used to implement the method according to any one of claims 1 to 9.

12. A readable storage medium, characterized in that: The readable storage medium stores machine-readable instructions, and when the machine-readable instructions are called and executed by a processor, the method according to any one of claims 1 to 9 is implemented.

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