Intelligent vehicle-mounted integrated display system

Abstract

The invention discloses an intelligent vehicle-mounted integrated display system, which comprises an identity recognition system, a control unit, a personalized configuration integrated system and a display unit, and is characterized in that the identity recognition system is used for carrying out vehicle owner identity recognition according to image information and / or sound information of a vehicle owner; the control unit is used for calling habit parameters in the personalized configuration integrated system according to different vehicle owner identities, adjusting corresponding equipment according to the habit parameters and then displaying the habit parameters to the display unit; the display unit comprises a touch control module which is used for receiving a manual adjustment instruction of a car owner for the habit parameters, and new habit parameters are generated through a habit learning algorithm according to the habit parameters after manual adjustment and the habit parameters before manual adjustment. According to the method, the preference parameters of the vehicle owner can be updated according to the preference change of the vehicle owner, so that personalized parameter setting can be carried out when different drivers get on the vehicle.

Description

Technical Field

[0001] The present application relates to the field of vehicle-mounted display technology, and in particular to an intelligent vehicle-mounted integrated display system. Background Art

[0002] With the development of automobile technology, modern vehicles are becoming more and more intelligent, and in-vehicle systems are also developing from simple infotainment functions to more complex and personalized directions.

[0003] Traditional in-vehicle display systems usually only provide limited preset configuration options and cannot be personalized according to the habits of different users. In addition, existing intelligent systems mostly rely on manual settings by users and lack the ability to automatically learn and adapt to the owner's usage habits, resulting in poor user experience.

[0004] When multiple people share a car, each owner needs to spend time resetting personal preferences such as seat position, rearview mirror angle, air conditioning temperature, etc. This not only increases the preparation time before driving, but may also affect driving safety and comfort due to improper settings. Therefore, an intelligent in-vehicle integrated display system is needed that can automatically identify the owner's identity and automatically adjust the interior environment and settings according to the owner's historical usage habits and personal preferences. Summary of the invention

[0005] The present application aims to solve one of the technical problems in the above-mentioned technology at least to some extent.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application proposes an intelligent vehicle-mounted integrated display system, comprising: an identity recognition system, a control unit, a personalized configuration integration system and a display unit, wherein the identity recognition system is used to identify the owner of the vehicle based on the owner's image information and / or sound information; the control unit is used to call the habit parameters in the personalized configuration integration system according to different identities of the owner of the vehicle, and after adjusting the corresponding equipment according to the habit parameters, display the habit parameters on the display unit; the display unit includes a touch module to receive the owner's manual adjustment instructions for the habit parameters, and generate new habit parameters through a habit learning algorithm using the manually adjusted habit parameters and previous habit parameters, so that when the corresponding owner gets in the vehicle again, the vehicle-related equipment can be automatically adjusted based on the new habit parameters.

[0007] In addition, the intelligent vehicle integrated display system proposed in the present application may also have the following additional technical features:

[0008] As a further description of the above technical solution: the control unit is equipped with a storage module for storing identity information and corresponding habit parameters of different car owners, wherein the identity information includes image information and sound information.

[0009] As a further description of the above technical solution: the display unit is configured in the central control screen of the vehicle.

[0010] As a further description of the above technical solution: the identity recognition system includes a camera and a voice recognition module, wherein the camera and the voice recognition module are used to respectively identify the image signal and voice information of the vehicle owner, and compare the identity information in the control unit based on the image information and / or sound information to identify the identity of the vehicle owner.

[0011] As a further description of the above technical solution: the camera is arranged in front of the main driver, and the voice recognition module is arranged on the center console.

[0012] As a further description of the above technical solution: the personalized configuration integrated system includes: a seat adjustment module, which is connected to the control mechanism of the vehicle's electric seat through the control unit, and is used to adjust the seat position according to the command of the control unit; a rearview mirror position adjustment module, which is connected to the control mechanism of the vehicle's electric rearview mirror through the control unit, and is used to adjust the rearview mirror position according to the command of the control unit; an air conditioning temperature adjustment module, which is connected to the control mechanism of the vehicle's automatic air conditioning through the control unit, and is used to adjust the air conditioning temperature in the vehicle according to the command of the control unit; a power configuration adjustment module, which is connected to the control mechanism of the engine or motor of the vehicle through the control unit, and is used to adjust the vehicle's power configuration according to the command of the control unit; a music playback module, which is connected to the vehicle's audio playback control mechanism through the control unit, and is used to play different types of music according to the command of the control unit; a lighting control module, which is connected to the vehicle's ambient light control mechanism through the control unit, and is used to adjust the lighting brightness according to the command of the control unit; wherein the habit parameters include seat adjustment angle, rearview mirror adjustment angle, air conditioning temperature, vehicle power configuration, music playback type and lighting brightness.

[0013] As a further description of the above technical solution: the habit learning algorithm includes: data collection, each time the car owner manually adjusts the habit parameters, the parameter value before adjustment, the parameter value after adjustment and the adjustment time are recorded; feature extraction, the collected data is analyzed to extract feature vectors related to the changes in the car owner's habits, the feature vectors include the adjustment frequency distribution in different time periods, the statistical characteristics of the adjustment amplitude and the adjustment correlation characteristics related to the driving state; model training, using a machine learning model based on a neural network, taking the feature vector as input, and training with the goal of predicting the possible habit parameters of the car owner in the future, wherein the neural network model structure includes at least one hidden layer, and the number of neurons in the hidden layer is adaptively adjusted according to the dimension of the feature vector and the amount of data; model update, regularly using the newly collected data to update the trained model to adapt to the dynamic changes in the car owner's habits, to ensure that the generated new habit parameters can more accurately reflect the car owner's current preferences and usage habits.

[0014] As a further description of the above technical solution: the display mode also includes a switching module, which is connected to the wheel speed sensor of the vehicle to determine the driving status of the vehicle and automatically switches the display content according to the driving status of the vehicle, wherein when the vehicle is in a parked state, the display unit displays all habitual parameters; when the vehicle is in a driving state, the display unit only displays the air-conditioning temperature, music playback type and light brightness to reduce distraction of the driver's attention.

[0015] According to the intelligent vehicle-mounted integrated display system of the present application, through the identity recognition system and the personalized configuration integration system, the intelligent vehicle-mounted integrated display system can provide customized services for each car owner, and automatically adjust to the car owner's preferred settings, such as seat position, rearview mirror angle, air-conditioning temperature, power mode, music type, and ambient lighting, etc., thereby greatly improving the car owner's driving experience and comfort; the built-in habit learning algorithm can continuously learn the changes in the car owner's habits, continuously optimize and update the car owner's preference parameters, and ensure that the settings provided always meet current needs, even if the car owner's preferences change over time.

[0016] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0018] Figure 1 is a system block diagram of an intelligent vehicle integrated display system according to an embodiment of the present application;

[0019] Figure 2is a schematic diagram of the connection between the identity recognition system and the control unit according to an embodiment of the present application;

[0020] Figure 3 is a system block diagram of a personalized configuration integration system according to an embodiment of the present application;

[0021] Figure 4 is a flowchart of a habit learning algorithm according to an embodiment of the present application; DETAILED DESCRIPTION

[0022] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0023] The following describes the intelligent vehicle-mounted integrated display system according to an embodiment of the present application in conjunction with the accompanying drawings.

[0024] like Figure 1 As shown, the intelligent vehicle-mounted integrated display system of an embodiment of the present application may include an identity recognition system, a control unit, a personalized configuration integration system and a display unit.

[0025] Among them, the identity recognition system is used to identify the vehicle owner based on the vehicle owner's image information and / or sound information, and the control unit is used to call the custom parameters in the personalized configuration integration system according to different vehicle owner identities, and after adjusting the corresponding equipment according to the custom parameters, the custom parameters are displayed on the display unit.

[0026] The display unit includes a touch module to receive the owner's manual adjustment instructions for the habit parameters, and generate new habit parameters using the manually adjusted habit parameters and previous habit parameters through a habit learning algorithm, so as to automatically adjust vehicle-related equipment based on the new habit parameters when the corresponding owner gets in the car again.

[0027] Specifically, when the driver enters the driving seat in the car, the identity of the owner is identified by waking up the identity recognition system. Once the identity is determined, the control unit immediately retrieves the habit parameters corresponding to the owner from the personalized configuration integration system, and then sends control instructions to the relevant devices corresponding to the habit parameters, so that these devices are automatically adjusted to the setting state preferred by the owner, and the habit parameters are displayed on the display unit.

[0028] The owner can manually adjust the habit parameters at any time through the touch module of the display unit to meet the current special needs. For example, if you want to change the music type or adjust the air conditioning temperature temporarily, the display unit will feed back the information of these manual adjustments to the control unit. On the one hand, the control unit will immediately perform the corresponding equipment adjustment operation, and on the other hand, it will pass the manually adjusted habit parameters together with the original habit parameters to the habit learning algorithm for analysis and processing.

[0029] The habit learning algorithm will analyze and evaluate the owner's habit changes based on the owner's manual adjustment frequency, amplitude, and adjusted usage time, and generate new habit parameters accordingly. These new habit parameters will be updated to the personalized configuration integration system, overwriting the original corresponding parameters, so that the system can continuously adapt to the owner's habit changes and provide the owner with personalized services that are increasingly in line with their personal preferences.

[0030] When the owner gets in the car again, the identity recognition system will recognize the owner's identity again, and the control unit will automatically adjust the vehicle-related equipment to the latest owner's preference settings based on the updated habit parameters, creating a familiar and comfortable driving environment for the owner. The owner does not need to perform tedious manual settings again, greatly improving the owner's driving experience and convenience.

[0031] In one embodiment of the present application, Figure 2 As shown, the control unit has a built-in storage module for storing identity information and corresponding habit parameters of different car owners, wherein the identity information includes image information and sound information.

[0032] As a possible scenario, the display unit is configured in the central control screen of the vehicle.

[0033] To clearly illustrate the above embodiment, in one embodiment of the present application, the identity recognition system includes a camera and a voice recognition module.

[0034] The camera and the voice recognition module are used to respectively identify the image signal and voice information of the vehicle owner, and compare the identity information in the control unit according to the image information and / or sound information to identify the identity of the vehicle owner.

[0035] As a possible scenario, the camera is arranged in front of the main driver, and the voice recognition module is arranged on the center console.

[0036] Specifically, when the owner enters the car, the camera located directly in front of the main driver's seat is automatically activated to capture real-time facial images. At the same time, the voice recognition module on the center console is also turned on the monitoring state. If the owner speaks, the voice information is collected; if no sound is made, the next step can be entered based solely on the image information captured by the camera.

[0037] The acquired image signals and voice information will be transmitted to the identity recognition system and compared one by one with the identity information in the control unit storage module. The system uses image recognition algorithms and voice feature matching algorithms to measure the similarity between real-time collected data and pre-stored data. Once the matching degree reaches the set threshold, the identity of the vehicle owner can be accurately determined.

[0038] After confirming the identity of the car owner, the control unit immediately calls out the corresponding habit parameters from the storage module. On the one hand, these parameters are sent to the relevant equipment of the vehicle; on the other hand, the habit parameters are displayed on the central control screen, so that the car owner can intuitively see the status of each setting. If there is a need for fine-tuning, he can immediately start a new round of habit parameter update cycle through the touch operation of the central control screen.

[0039] In one embodiment of the present application, Figure 3 As shown, the personalized configuration integrated system includes: a seat adjustment module, which is connected to the control mechanism of the vehicle's electric seat through the control unit, and is used to adjust the seat position according to the command of the control unit; a rearview mirror position adjustment module, which is connected to the control mechanism of the vehicle's electric rearview mirror through the control unit, and is used to adjust the rearview mirror position according to the command of the control unit; an air-conditioning temperature adjustment module, which is connected to the control mechanism of the vehicle's automatic air-conditioning through the control unit, and is used to adjust the air-conditioning temperature in the vehicle according to the command of the control unit; a power configuration adjustment module, which is connected to the control mechanism of the vehicle's engine or motor through the control unit, and is used to adjust the vehicle's power configuration according to the command of the control unit; a music playback module, which is connected to the vehicle's audio playback control mechanism through the control unit, and is used to play different types of music according to the command of the control unit; a lighting control module, which is connected to the vehicle's ambient light control mechanism through the control unit, and is used to adjust the lighting brightness according to the command of the control unit.

[0040] Among them, the habit parameters include seat adjustment angle, rearview mirror adjustment angle, air-conditioning temperature, vehicle power configuration, music playback type and lighting brightness.

[0041] Specifically, after the owner's identity is identified, the control unit identifies the owner's identity and quickly extracts the corresponding habit parameters from the storage module, and sends instructions for a series of parameters including seat adjustment angle, rearview mirror adjustment angle, air-conditioning temperature, vehicle power configuration, music playback type, lighting brightness, etc. to the corresponding seat adjustment module, rearview mirror position adjustment module, air-conditioning temperature adjustment module, power configuration adjustment module, music playback module, and lighting control module.

[0042] The seat adjustment module drives the motor of the electric seat to adjust the seat position according to the specified angle; the rearview mirror position adjustment module controls the adjustment mechanism of the electric rearview mirror to accurately position the rearview mirror; the air-conditioning temperature adjustment module issues temperature control instructions to the automatic air-conditioning to adjust the temperature in the car; the power configuration adjustment module sends a power switching signal to the engine or motor control system to adapt the driving mode; the music playback module retrieves audio resources and starts music playback that meets the requirements; the lighting control module adjusts the brightness of the ambient light.

[0043] In one embodiment of the present application, Figure 4 As shown, the habit learning algorithm includes data collection. Each time the car owner manually adjusts the habit parameters, the parameter value before adjustment, the parameter value after adjustment and the adjustment time are recorded.

[0044] Feature extraction: Analyze the collected data and extract feature vectors related to changes in car owners' habits. The feature vectors include the adjustment frequency distribution in different time periods, the statistical characteristics of the adjustment amplitude, and the adjustment correlation characteristics related to the driving status.

[0045] Model training adopts a neural network-based machine learning model, takes the feature vector as input, and trains the model with the goal of predicting the owner's possible habit parameters in the future. The neural network model structure includes at least one hidden layer, and the number of neurons in the hidden layer is adaptively adjusted according to the feature vector dimension and data volume.

[0046] Model update: regularly use newly collected data to update the trained model to adapt to the dynamic changes in car owners' habits and ensure that the generated new habit parameters can more accurately reflect the car owners' current preferences and usage habits.

[0047] Specifically, when the car owner manually adjusts the habit parameters, relevant data begins to fill the database. After accumulating a certain amount of data, the feature extraction module begins to sort out feature vectors and transmit them to the machine learning model. The model starts training, exploring the owner's habit patterns in a large amount of historical data and has predictive capabilities. As the frequency of vehicle use increases, new data continues to flow in. At regular intervals, the model update link is activated, and new data is integrated into the training process. The model continuously corrects its own parameters, the prediction accuracy steadily improves, and the output new habit parameters become more and more accurate.

[0048] For example, in spring, the temperature is relatively cool in the morning. Every time the owner starts the car, he finds that the default air-conditioning temperature of 22℃ is too low, so he manually adjusts the temperature to 24℃. The system records this adjustment and stores the parameter value 22℃ before adjustment, the parameter value 24℃ after adjustment, and the specific time of the adjustment. As the seasons change and summer comes, the afternoon sun is scorching and the temperature in the car rises quickly. The owner frequently adjusts the air-conditioning temperature from 24℃ to 22℃, and the data of each adjustment will be recorded in sequence.

[0049] After a period of accumulation, the system began to analyze these data. From the distribution of adjustment frequency, it was found that during the spring, the frequency of adjusting the temperature up in the morning was higher; in the summer afternoons, the frequency of lowering the temperature increased significantly. In terms of the statistical characteristics of the adjustment amplitude, each adjustment was basically around 2°C, and the amplitude was relatively stable.

[0050] And through the adjustment correlation features related to the driving status, for example, when the vehicle is just started and in idling state, the owner tends to increase the temperature; after driving for a period of time and the speed is stable, if the sunlight is strong, the temperature will be lowered. This information is organized into a feature vector.

[0051] The extracted feature vectors are input into a machine learning model based on a neural network. The number of neurons in the hidden layer of the model is set to 10 based on the current data volume and feature dimension. The model begins to learn the patterns behind these data, with the goal of predicting the owner's possible air-conditioning temperature habit parameters in the future. For example, based on past data, when it recognizes that it is currently a summer afternoon and the vehicle has just been started, the model tries to infer that the owner is likely to lower the temperature, and continuously adjusts the internal weight parameters to optimize the prediction results.

[0052] In one embodiment of the present application, the display mode further includes a switching module, which is connected to a wheel speed sensor of the vehicle to determine the driving state of the vehicle and automatically switches the display content according to the driving state of the vehicle.

[0053] Among them, when the vehicle is in a parked state, the display unit displays all habit parameters, and when the vehicle is in a driving state, the display unit only displays the air-conditioning temperature, the type of music played and the brightness of the lights to reduce distraction to the driver's attention.

[0054] Specifically, after the vehicle starts, the wheel speed sensor continuously monitors the wheel speed and transmits the speed data to the switching module in real time. The switching module quickly determines whether the vehicle is in a parked state (speed is zero) or a driving state (speed is greater than zero) based on the received data.

[0055] If the vehicle is determined to be in a parked state, the switching module sends instructions to the display unit, which retrieves all custom parameters from the storage module and displays them on the screen one by one, allowing the owner to browse and modify various settings at will.

[0056] If it is determined that the vehicle is in driving state, the switching module will instruct the display unit to filter and select, and only display the key parameters such as air-conditioning temperature, music playback type, and lighting brightness. Other parameters are temporarily hidden, so that the screen information in front of the driver is concise and clear, and he can focus on driving.

[0057] In summary, according to the intelligent vehicle-mounted integrated display system of the embodiment of the present application, through the identity recognition system and the personalized configuration integration system, the intelligent vehicle-mounted integrated display system can provide customized services for each car owner, and automatically adjust to the car owner's preferred settings, such as seat position, rearview mirror angle, air-conditioning temperature, power mode, music type, and ambient lighting, etc., thereby greatly improving the car owner's driving experience and comfort; the built-in habit learning algorithm can continuously learn the changes in the car owner's habits, continuously optimize and update the car owner's preference parameters, and ensure that the settings provided always meet current needs, even if the car owner's preferences change over time.

[0058] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0059] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0060] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent vehicle-mounted integrated display system, characterized in that: include: Identity recognition system, control unit, personalized configuration integrated system and display unit, among which, The identification system is used to identify the vehicle owner based on the vehicle owner's image information and / or voice information; The control unit is used to call the custom parameters in the personalized configuration integrated system according to different vehicle owner identities, and after adjusting the corresponding equipment according to the custom parameters, display the custom parameters on the display unit; The display unit includes a touch module to receive the owner's manual adjustment instructions for the habit parameters, and generate new habit parameters using the manually adjusted habit parameters and previous habit parameters through a habit learning algorithm, so as to automatically adjust vehicle-related equipment based on the new habit parameters when the corresponding owner gets in the car again.

2. The intelligent vehicle integrated display system according to claim 1, characterized in that: The control unit is built with a storage module for storing identity information and corresponding habit parameters of different car owners, wherein the identity information includes image information and sound information.

3. The intelligent vehicle integrated display system according to claim 1, characterized in that: The display unit is configured in the central control screen of the vehicle.

4. The intelligent vehicle integrated display system according to claim 1, characterized in that: The identity recognition system includes a camera and a voice recognition module, wherein: The camera and the voice recognition module are used to respectively identify the image signal and voice information of the vehicle owner, and compare the identity information in the control unit based on the image information and / or sound information to identify the identity of the vehicle owner.

5. The intelligent vehicle integrated display system according to claim 4, characterized in that: The camera is arranged in front of the main driver, and the voice recognition module is arranged on the center console.

6. The intelligent vehicle integrated display system according to claim 1, characterized in that: The personalized configuration integration system comprises: a seat adjustment module, connected to a control mechanism of an electric seat of the vehicle through the control unit, for adjusting the seat position according to instructions of the control unit; A rearview mirror position adjustment module, connected to a control mechanism of an electric rearview mirror of the vehicle through the control unit, and used to adjust the position of the rearview mirror according to an instruction of the control unit; An air conditioning temperature adjustment module, connected to a control mechanism of the vehicle's automatic air conditioning through the control unit, and used to adjust the air conditioning temperature in the vehicle according to the command of the control unit; a power configuration adjustment module, connected to a control mechanism of an engine or a motor of the vehicle through the control unit, and used to adjust the power configuration of the vehicle according to the instruction of the control unit; A music playing module, connected to the audio playing control mechanism of the vehicle through the control unit, for playing different kinds of music according to the instructions of the control unit; A lighting control module, connected to the vehicle's ambient light control mechanism through the control unit, for adjusting the light brightness according to the instructions of the control unit; Among them, the habit parameters include seat adjustment angle, rearview mirror adjustment angle, air-conditioning temperature, vehicle power configuration, music playback type and lighting brightness.

7. The intelligent vehicle integrated display system according to claim 1, characterized in that: The habit learning algorithm includes: Data collection: every time the owner manually adjusts the custom parameters, the parameter value before adjustment, the parameter value after adjustment and the adjustment time are recorded; Feature extraction: Analyze the collected data to extract feature vectors related to changes in the owner's habits. The feature vectors include the adjustment frequency distribution in different time periods, the statistical characteristics of the adjustment range, and the adjustment correlation characteristics related to the driving status; Model training uses a machine learning model based on a neural network, takes the feature vector as input, and trains the model to predict the possible habit parameters of the car owner in the future. The neural network model structure includes at least one hidden layer, and the number of neurons in the hidden layer is adaptively adjusted according to the dimension of the feature vector and the amount of data. Model update: regularly use newly collected data to update the trained model to adapt to the dynamic changes in car owners' habits and ensure that the generated new habit parameters can more accurately reflect the car owners' current preferences and usage habits.

8. The intelligent vehicle integrated display system according to claim 1, characterized in that: The display mode also includes a switching module, which is connected to the wheel speed sensor of the vehicle to determine the driving state of the vehicle and automatically switch the display content according to the driving state of the vehicle, wherein: When the vehicle is in a parking state, the display unit displays all habit parameters; When the vehicle is in motion, the display unit only displays the air-conditioning temperature, the type of music being played, and the brightness of the lights to reduce distraction to the driver.

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