Vehicle control method and device, electronic equipment and vehicle

Abstract

The invention discloses a vehicle control method and device, electronic equipment and a vehicle, and relates to the technical field of vehicles. The method comprises the steps that in response to an input rest instruction, identity feature information of a current driver is collected; performing identity recognition on the driver based on the identity feature information to obtain an identity recognition result; according to an identity recognition result, determining rest environment parameters; the rest environment parameters comprise at least one of rest duration, a seat angle adjusting parameter, a seat massage strength parameter, an environment temperature parameter, an air conditioner wind power parameter, a fragrance type parameter, a water cup heating parameter and a sunshade curtain adjusting parameter; and controlling the vehicle based on the rest environment parameters. According to the method, the customized rest scheme of the driver is realized by adopting the AI model, and different rest modes are formulated according to different driver identities, so that a convenient and comfortable rest environment is created for the driver, and fatigue is effectively relieved.

Description

Technical Field

[0001] This application relates to the technical field of vehicles, and in particular to a vehicle control method, device, electronic device and vehicle. Background Art

[0002] In the current automotive industry, drivers often suffer from fatigue driving and driving while ill, which poses a potential threat to their physical health. During long-distance driving, drivers lack a high-quality rest environment to relieve fatigue and recuperate, which greatly increases the possibility of abnormal driver health. Therefore, how to create a high-quality, highly convenient and implementable rest environment for drivers has become a problem that needs to be solved currently. Summary of the Invention

[0003] In view of this, this application provides a vehicle control method, device, electronic device and vehicle, which solves the problem of how to improve the comfort of drivers' rest and relieve drivers' driving fatigue and recuperation needs.

[0004] In a first aspect, this application provides a vehicle control method. The vehicle to which the vehicle control method is applied adopts an intelligent cockpit system integrated with an AI model, including: collecting identity characteristic information of the current driver in response to an input rest instruction; performing identity recognition on the driver based on the identity characteristic information to obtain an identity recognition result; determining rest environment parameters according to the identity recognition result; the rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, environmental temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, sunshade adjustment parameter; controlling the vehicle based on the rest environment parameters.

[0005] Optionally, the identity characteristic information includes at least one of facial characteristic, voiceprint characteristic, fingerprint characteristic, iris characteristic; the performing identity recognition on the driver based on the identity characteristic information to obtain an identity recognition result includes: performing matching in historical data based on the identity characteristic information; in the case of successful matching, determining that the driver is an existing user; otherwise, determining that the driver is a new user.

[0006] Optionally, the determining rest environment parameters according to the identity recognition result includes: in the case that the driver is an existing user, calling the historical rest environment parameters of the existing user; the historical rest environment parameters are obtained through analysis based on the AI model; real-time obtaining of the driver's physiological data and behavior state, and determining adjustment parameters based on the physiological data and the behavior state; controlling the vehicle according to the adjustment parameters and the historical rest environment parameters.

[0007] Optionally, determining the rest environment parameters according to the identity recognition result further includes: when the driver is a new user, real-time acquiring the driver's physiological data and behavior state; determining the rest environment parameters based on the driver's physiological data and behavior state, and controlling the vehicle based on the rest environment parameters.

[0008] Optionally, controlling the vehicle based on the rest environment parameters includes: adjusting the driver's seat according to the seat angle adjustment parameter; or, adjusting the seat massage intensity according to the seat massage intensity parameter; or, adjusting the vehicle interior temperature according to the ambient temperature parameter; or, determining the type of fragrance released according to the fragrance type parameter; or, adjusting the opening and closing degree of the vehicle interior sunshade according to the sunshade adjustment parameter; or, adjusting the air output of the vehicle interior air conditioner according to the air conditioner wind force parameter; or, heating the cup holder according to the cup heating parameter; or, timing the rest duration, and when the preset duration is reached, starting a wake-up service by means of music and / or vibration.

[0009] Optionally, after controlling the vehicle based on the rest environment parameters, the method further includes: responding to a voice input instruction to adjust the rest environment parameters; when the driver is a new user, storing the rest environment parameters of this time; when the driver is an existing user, updating the rest environment parameters of this time.

[0010] In a second aspect, the present application provides a vehicle control device. The vehicle adopts an intelligent cockpit system integrated with an AI model. The vehicle control device includes:

[0011] An acquisition unit, configured to acquire the identity feature information of the current driver in response to an input rest instruction;

[0012] An identification unit, configured to perform identity recognition on the driver based on the identity feature information to obtain an identity recognition result;

[0013] A processing unit, configured to determine rest environment parameters according to the identity recognition result; the rest environment parameters include at least one of a rest duration, a seat angle adjustment parameter, a seat massage intensity parameter, an ambient temperature parameter, an air conditioner wind force parameter, a fragrance type parameter, a cup heating parameter, and a sunshade adjustment parameter;

[0014] A control unit, configured to control the vehicle based on the rest environment parameters.

[0015] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the vehicle control method described in the first aspect is implemented.

[0016] In a fourth aspect, the present application provides an electronic device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the vehicle control method described in the first aspect is implemented.

[0017] In a fifth aspect, the present application provides a vehicle, including the vehicle control device mentioned in the second aspect above or the electronic device mentioned in the fourth aspect above.

[0018] By means of the above technical solutions, a vehicle control method, device, electronic device, and vehicle provided by the present application first collect the identity characteristic information of the current driver in response to an input rest instruction; perform identity recognition on the driver based on the identity characteristic information to obtain an identity recognition result; determine rest environment parameters according to the identity recognition result; the rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, ambient temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, sunshade adjustment parameter; and control the vehicle based on the rest environment parameters. The present application uses an AI model to implement a customized rest solution for the driver, and formulates different rest modes according to different driver identities, thereby creating a convenient and comfortable rest environment for the driver and effectively relieving fatigue.

[0019] The above description is only an overview of the technical solutions of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present application more obvious and understandable, the following specifically gives the specific embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present application and used together with the specification to explain the principles of the present application.

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 Shows a schematic flowchart of a vehicle control method provided by an embodiment of the present application;

[0023] Figure 2 The figure shows a schematic diagram of the process interaction of a vehicle control method provided by an embodiment of the present application;

[0024] Figure 3 The figure shows a schematic diagram of the process of another vehicle control method provided by an embodiment of the present application;

[0025] Figure 4 The figure shows a schematic diagram of the structure of a vehicle control device provided by an embodiment of the present application. Detailed implementation manners

[0026] In order to more clearly understand the above objects, features, and advantages of the present application, the solution of the present application will be further described below. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other. In addition, in order to more fully understand the characteristics and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are only for reference and illustration purposes and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, numerous details are provided to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be shown in a simplified manner to simplify the drawings.

[0027] The vehicle control method provided in this embodiment is applied to a vehicle control device, which can be installed in an in-vehicle electronic control unit (Electronic Control Unit, ECU) or a vehicle domain controller (Extended domain Control Unit, XCU) and is used to control the entire vehicle to execute any one of the vehicle control methods mentioned in this embodiment.

[0028] In order to improve the comfort of the driver's rest and alleviate the problems of the driver's driving fatigue and recuperation needs, this embodiment proposes a vehicle control method. As Figure 1 shown, the method includes:

[0029] S101, in response to an input rest instruction, collect the identity characteristic information of the current driver.

[0030] The vehicle in this embodiment adopts an intelligent cockpit system integrated with an AI large model (hereinafter briefly referred to as the system). The AI large model can adopt open-source and available large language models, etc., as long as it has the ability to obtain voice commands, identify, analyze, and give corresponding thinking feedback on the voice commands. The system first receives the input rest command. The user can input it in a voice manner, such as through the voice command "I want to rest for ten minutes", or in a touch manner, such as clicking on "Rest Mode", etc. After receiving the rest command, the system will obtain the identity characteristic information of the person currently driving. Among them, the identity characteristic information includes at least one of facial characteristics, voiceprint characteristics, fingerprint characteristics, and iris characteristics. That is to say, several of the above characteristics can also be combined as the identity characteristic information.

[0031] S102. Perform driver identity recognition based on the identity characteristic information to obtain an identity recognition result.

[0032] Match based on the driver's identity characteristic information in the historical data. For example, the facial characteristic information is used for identity recognition through the Face ID facial recognition technology. Among them, the Face ID technology generates a unique facial characteristic template or code by capturing and analyzing the driver's facial characteristics (such as the shape and position of the eyes, nose, mouth, facial contour, etc.). The system will compare the captured driver's facial characteristics with the facial characteristic template or code pre-stored in the system. After completing the identity recognition comparison, the system will generate an identity recognition result. In the case of a successful match, the driver is determined to be an existing user; otherwise, the driver is determined to be a new user.

[0033] It should be noted that in the related technology, usually only a general rest mode is set, such as directly setting the air conditioner to a preset temperature and directly tilting the seat, etc. In the actual scenario, the situation of multiple drivers in one vehicle is relatively common. After changing the driver, it is necessary to readjust the comfort modules such as the seat again, which lacks convenience and increases the operation time. This embodiment adopts the Face ID technology to obtain the identity characteristic information and identify and bind the driver's identity to meet the customized needs of the system for each individual.

[0034] S103. Determine the rest environment parameters according to the identity recognition result.

[0035] The rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, ambient temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, and sunshade adjustment parameter. When the driver is an existing user, the historical rest environment parameters of the existing user are called, the driver's physiological data and behavior status are obtained in real time, and the adjustment parameters are determined based on the physiological data and behavior status using an AI model. That is, in the case of an existing user, the rest environment parameters corresponding to the existing user can be directly determined, so as to quickly locate the rest environment preferred by the user. When the driver is a new user, it is necessary to determine the rest environment parameters by obtaining the driver's physiological data and behavior status in real time and analyzing them using an AI model, so as to implement a customized solution instead of using a general rest mode.

[0036] S104, control the vehicle based on the rest environment parameters.

[0037] In this embodiment, first, in response to the input rest instruction, the identity characteristic information of the current driver is collected; the driver is identified based on the identity characteristic information to obtain an identity recognition result; according to the identity recognition result, the rest environment parameters are determined; the rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, ambient temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, and sunshade adjustment parameter; the vehicle is controlled based on the rest environment parameters. This embodiment realizes a customized rest solution for the driver by using an AI model, formulates different rest modes according to different driver identities, thereby creating a convenient and comfortable rest environment for the driver and effectively relieving fatigue.

[0038] Optionally, the identity characteristic information includes at least one of facial feature, voiceprint feature, fingerprint feature, and iris feature; identifying the driver based on the identity characteristic information to obtain an identity recognition result includes: matching based on the identity characteristic information in the historical data; in the case of successful matching, determining that the driver is an existing user; otherwise, determining that the driver is a new user.

[0039] In this embodiment, the identity feature information refers to biometric feature information used to uniquely identify or distinguish different individuals, specifically including at least one of facial features (such as face shape, facial feature layout, etc.), voiceprint features (such as voice frequency, timbre, etc.), fingerprint features (such as fingerprint patterns, minutiae, etc.), and iris features (such as iris texture, color, etc.). Based on the above identity feature information, the system will perform identity recognition on the driver, comparing the collected driver identity feature information with the identity feature information stored in advance or in the historical records. If a record matching the collected driver identity feature information is found in the historical data, then the system will determine that this driver is an existing user, that is, the system has previously recorded the identity information of this driver, and can directly determine the rest environment parameters corresponding to the existing user, so as to quickly locate the rest environment preferred by this user. If no record matching the collected driver identity feature information is found in the historical data, then the system will determine that this driver is a new user, and it is necessary to determine the rest environment parameters by obtaining the driver's physiological data and behavior status in real time and using methods such as AI model analysis, so as to implement a customized solution instead of using a general rest mode.

[0040] Optionally, according to the identity recognition result, determine the rest environment parameters, including: in the case where the driver is an existing user, call the historical rest environment parameters of the existing user; obtain the driver's physiological data and behavior status in real time, and determine the adjustment parameters based on the physiological data and behavior status; control the vehicle according to the adjustment parameters and the historical rest environment parameters.

[0041] In this embodiment, in the case where the driver is an existing user, determine the rest environment by obtaining the driver's physiological data and behavior status in real time, together with the historical rest environment parameters.

[0042] First, the rest environment parameters include rest time, duration, posture, temperature preference, fragrance preference, etc. The system will first determine how to adjust the vehicle's rest environment parameters according to the previous driver identification result. If the driver is identified as an existing user, the system will call the historical rest environment parameters related to this user. Further, the system analyzes the driver's historical rest data through an AI model and performs in-depth learning on this data. The model can accurately grasp the driver's personalized rest habits and demand patterns. That is to say, the difference between this embodiment and the related technology also lies in the different historical rest environment parameters retrieved. Here, the historical rest environment parameters can be obtained through in-depth learning and refinement by the AI model, so as to better understand the different needs of different drivers. In addition, the system will also obtain the driver's physiological data and behavior status in real time through the AI model. Such as heart rate, breathing rate, body movement, etc. These data can be collected through in-vehicle sensors, cameras or other devices. The system will judge the driver's rest quality in a timely manner according to the real-time obtained driver physiological data and behavior status. For example, the model can judge the driver's rest quality in a timely manner and dynamically adjust the rest environment parameters, such as fine-tuning the air-conditioning temperature, changing the bunk angle, etc., to ensure that the driver is always in a comfortable and high-quality rest state. Finally, the system will combine the real-time determined adjustment parameters and (for existing users) historical rest environment parameters to control the vehicle accordingly, so as to improve the rest quality.

[0043] Optionally, according to the identity recognition result, determining the rest environment parameters further includes: when the driver is a new user, obtaining the driver's physiological data and behavior status in real time; determining the rest environment parameters based on the driver's physiological data and behavior status, and controlling the vehicle based on the rest environment parameters.

[0044] In this embodiment, the system first determines that the driver is a new user through the identity recognition process, that is, the system has not recorded the driver's identity information or rest environment preferences before. For new users, since the system has no historical rest environment parameters of them for reference, it will directly obtain the driver's physiological data and behavior status in real time through the AI model. The system will analyze the real-time obtained physiological data and behavior status through the AI model to infer the driver's current comfort level, fatigue level or preferences. For example, if the system detects that the driver has a high heart rate or rapid breathing, it may mean that the driver is in a tense or fatigued state. At this time, the system can adjust the vehicle interior environment to provide a more relaxing atmosphere. Based on these analyses, the system will determine a set of rest environment parameters suitable for the current driver, such as temperature, humidity, seat angle, light brightness, music type and volume, etc. Finally, the system will automatically adjust the relevant settings of the vehicle according to the determined rest environment parameters. This may include adjusting the air conditioning system to change the temperature and humidity inside the vehicle, adjusting the seat position and angle to provide a more comfortable sitting posture, adjusting the opening and closing degree and time of the sunshade, etc., to provide a customized rest environment that meets comfort and personalization for new users.

[0045] Optionally, based on the rest environment parameters, the vehicle is controlled, including: adjusting the driver's seat according to the seat angle adjustment parameter; or, adjusting the seat massage intensity according to the seat massage intensity parameter; or, adjusting the interior temperature of the vehicle according to the ambient temperature parameter; or, determining the type of fragrance released according to the fragrance type parameter; or, adjusting the opening and closing degree of the sunshade inside the vehicle according to the sunshade adjustment parameter; or, adjusting the air outlet of the vehicle air conditioner according to the air conditioner wind force parameter; or, heating the cup holder according to the cup heating parameter; or, timing according to the rest duration, and starting the wake-up service by means of music and / or vibration when the preset duration is reached.

[0046] In this embodiment, the system automatically adjusts the angle of the driver's seat according to the preset seat angle adjustment parameters to find the most suitable sitting posture for rest, thereby improving comfort; according to the seat massage intensity parameters, the system can adjust the intensity of the seat massage function to provide a personalized massage experience for the driver, which helps to relieve driving fatigue; the system automatically adjusts the temperature inside the vehicle according to the ambient temperature parameters to ensure that the driver is in a suitable temperature environment during rest; according to the fragrance type parameters, the system can determine and release a specific type of fragrance to create a more pleasant and relaxing rest atmosphere; the system automatically adjusts the opening and closing degree of the sunshade inside the vehicle according to the sunshade adjustment parameters to block excessive sunlight, protect the driver's eyes, and maintain a suitable light environment inside the vehicle; according to the air conditioner wind force parameters, the system can adjust the air outlet speed and direction of the vehicle air conditioner to ensure air circulation and uniform temperature inside the vehicle, improving the comfort of rest; if the system receives the water cup heating parameters, it can heat the water cup holder so that the driver can enjoy warm drinks during rest; the system times according to the preset rest duration and, when the preset duration is reached, starts a wake-up service by means of music and / or vibration to ensure that the driver does not delay the journey due to excessive rest.

[0047] Optionally, after controlling the vehicle based on the rest environment parameters, the method further includes: responding to a voice input command to adjust the rest environment parameters; storing the rest environment parameters for this time when the driver is a new user; and updating the rest environment parameters for this time when the driver is an existing user.

[0048] In this embodiment, the system incorporates a voice interaction function within the vehicle's rest environment, capable of receiving and recognizing the driver's voice input commands. When the driver issues voice commands related to rest environment parameters, the system interprets these commands using an AI model and adjusts the current rest environment parameters accordingly. This interactive method allows the driver to easily adjust the rest environment through voice without manually operating the vehicle's control panel, improving user convenience and safety. For a new user, during this driving session, the system determines a set of rest environment parameters suitable for the new user based on real-time driver physiological data and behavioral status, as well as possible voice command adjustments. The system stores this set of parameters so that it can be directly accessed the next time the user drives, providing a more personalized rest environment. For existing users, the system has already stored their rest environment parameter preferences. However, user preferences may change over time or vary due to factors such as current physical condition and driving environment. Therefore, during this driving session, the system dynamically adjusts the rest environment parameters based on real-time driver physiological data and behavioral status, as well as possible voice command adjustments. After the adjustment is completed, the system will update the rest environment parameters to the parameter records of existing users to reflect the user's latest preferences and needs.

[0049] Figure 2 A schematic diagram of the process interaction of a vehicle control method proposed in this embodiment is shown, and the specific details are as follows:

[0050] Sunshade system: The intelligent cockpit system drives the motor through the vehicle's CAN message. The motor drives the worm to rotate through a flexible shaft. After various levels of gear reduction, it drives the spline to rotate, driving the flexible shaft to perform linear reciprocating motion. The curtain is fixed on the flexible shaft, thereby realizing the curtain's retraction function.

[0051] A heating system: This system can be installed as a heating device within the vehicle. For example, a heating coil is placed at the bottom of the existing cup holder to heat the cup, and a temperature sensor is placed on the side of the cup holder to collect the cup temperature. The intelligent cockpit system collects temperature status signals and intuitively displays the cup temperature to the driver. The driver can control the cup heating temperature through voice commands or a touch interface, ensuring that hot water at the driver's preferred temperature is always available.

[0052] Air conditioning system: The intelligent cockpit system uses CAN messages to control functions such as compressor activation, air conditioning temperature, air speed, and internal and external circulation. Furthermore, fragrances tailored to the driver's preferences can be placed near the air conditioning vents to meet their spiritual needs.

[0053] Seat & Sleeper System: The seat backrest and the sleeper can be controlled by a drive motor to be automatically laid flat, automatically folded, and have a vibration function. The intelligent cockpit system controls the operation of the motor through CAN messages to achieve the above functions.

[0054] Intelligent Cockpit System: As the hub of the entire rest scenario, the intelligent cockpit system undertakes driver identity recognition, collection, transmission, and feedback of instructions. The AI model can analyze the driver's preferences to perform exclusive configuration of the rest system, which can meet personalized needs such as preset air conditioning temperature, wake-up service, and sleep-aid music playback, and is used to improve the rest quality.

[0055] In this embodiment, an intelligent rest scenario is exemplarily proposed, and the specific process is as follows:

[0056] 1. Collect the status signal of the sunshade system and transmit it to the intelligent cockpit through the CAN bus;

[0057] 2. Collect the temperature signal of the heating device and transmit it to the intelligent cockpit through the CAN bus;

[0058] 3. Collect the position signals of the driver's seat and the sleeper and transmit them to the intelligent cockpit through the CAN bus;

[0059] 4. Collect the compressor working signal, temperature sensor signal, and air volume signal of the air conditioning system and transmit them to the intelligent cockpit through the CAN bus;

[0060] 5. The intelligent cockpit system identifies the driver's identity information and instruction information, and formulates an exclusive rest plan in combination with the AI model.

[0061] 6. The intelligent cockpit system sends a CAN message to the sunshade to control the opening and closing of the sunshade.

[0062] 7. The intelligent cockpit system sends a CAN message to the heating device to control the start and stop of the heating device, the heating power, etc.

[0063] 8. The intelligent cockpit system sends a CAN message to the seat & sleeper to control the angle adjustment, automatic folding, and vibration of the seat & sleeper.

[0064] 9. The intelligent cockpit system sends a message to the air conditioning system to control functions such as the compressor switch, air volume, cooling, and heating.

[0065] 10 The sunshade system sends a CAN message to the intelligent cockpit system to feedback the sunshade status signal.

[0066] 11 A certain heating device sends a CAN message to the intelligent cockpit system to feedback the temperature status signal.

[0067] 12 The seat and sleeper system sends a CAN message to the intelligent cockpit system to feedback the seat and sleeper status signals.

[0068] The air conditioning system sends CAN messages to the intelligent cockpit system to feedback the air conditioning status signal.

[0069] After calculation and comparison by the intelligent cockpit system, the driver is informed of the execution result.

[0070] Figure 3 The flowchart of another vehicle control method proposed in this embodiment is shown, and the specific details are as follows:

[0071] 1. Driver Face ID identity information recognition.

[0072] After the driver enters the rest mode through voice or touch, the Face ID identity information recognition function is immediately activated. Through the high-definition camera in the vehicle, using face recognition algorithms, the facial features of the driver are quickly and accurately captured and analyzed. These facial features include but are not limited to the shape, position of the eyes, nose, mouth, and subtle information such as facial contours. The system will compare the captured facial features with the driver's identity information pre-stored in the database. If the comparison is successful, the system will confirm the driver's identity and associate the personalized settings previously saved by the driver in the system to prepare for providing personalized rest services later; if the comparison fails, the system will determine that the driver is a new user.

[0073] 2. The intelligent cockpit system formulates a personalized rest plan based on the driver's settings or data analysis of the AI model.

[0074] After successfully identifying the driver's identity, the intelligent cockpit system begins to formulate a personalized rest plan. For new users, the system will read the current driver's physiological data and behavior status (such as manually set rest preferences or rest preferences input by the driver through voice), and then determine the rest environment parameters. Specifically, the system uses the natural language processing (NPL) model in the AI model to parse and understand the driver's manual settings or voice control, thereby further personalizing the rest plan. For existing users, the system will analyze the driver's historical data using the built-in AI model. These historical data cover the driver's previous rest duration, rest time period, rest habits under different environmental conditions, etc. Specifically, the AI model processes time series data through deep neural networks (such as recurrent neural network RNN or long short-term memory network LSTM) to capture the dynamic changes in the driver's rest habits, more accurately predict the driver's rest needs at different times or in different environments, and customize a set of personalized rest plans that are most suitable for the current situation for the driver.

[0075] 3. The intelligent cockpit system controls each subsystem to execute operations through CAN messages according to the rest plan.

[0076] After formulating a personalized rest plan, the intelligent cockpit system, as the "brain" of the entire rest process, begins to communicate and convey instructions to each subsystem in the vehicle through CAN messages. The intelligent cockpit system sends CAN messages to the seat adjustment system according to the requirements of the rest plan. After receiving the CAN messages, each subsystem quickly executes the corresponding operations.

[0077] 4. After the rest mode is activated, the intelligent cockpit system calculates when to wake up the driver.

[0078] After the rest mode is officially activated, the intelligent cockpit system enters the wake-up time calculation stage. The system will consider multiple factors to determine the optimal wake-up time. For example, referring to the preset rest duration in the personalized rest plan of the driver, it can be determined according to the average basic rest time expected by the driver. Or the system will combine the driving habits and biological clock information of the driver, such as the driver's usual work and rest time, rest patterns during similar time periods, etc. These factors are comprehensively analyzed and calculated through an AI model to obtain the wake-up time, ensuring that the driver can get sufficient rest without affecting the subsequent itinerary due to excessive rest.

[0079] 5. After the intelligent cockpit system determines that the driver has rested until the preset time, it controls the seat or berth to vibrate slowly, plays soothing music, and activates the internal RTC.

[0080] When the intelligent cockpit system determines that the driver has rested until the preset time, it will immediately initiate a series of gentle wake-up measures. The system first sends instructions to the vibration control module of the seat or berth to control the seat or berth to vibrate at a slow and gentle rhythm. This vibration intensity is moderate and will not startle or discomfort the driver. Instead, it stimulates the driver's body through slight vibrations, gradually awakening the body's perception. At the same time, the system sends instructions to the music playback system to switch to playing soothing and gentle wake-up music. These music usually have gentle melodies, slow rhythms, and low volumes, which can create a peaceful and relaxing atmosphere to help the driver smoothly transition from a deep rest state to a waking state. In addition, the system will activate the internal real-time clock (RTC) module and start timing for 5 minutes for the driver to wake up.

[0081] 6. During the 5-minute RTC timing, if the driver turns off the rest mode during this period, jump to step 9. If the driver does not turn off the rest mode after 5 minutes, jump to step 7.

[0082] During the 5-minute countdown when the RTC starts, the system continuously monitors the driver's operations. If the driver actively turns off the rest mode within these 5 minutes, indicating that the driver has woken up naturally or no longer requires the wake-up service, the system immediately jumps to step 9 and performs the relevant operations after exiting the rest mode. If, after the 5-minute countdown ends, the system detects that the driver still has not turned off the rest mode, it means that the gentle wake-up measures may not have effectively awakened the driver. The system will automatically jump to step 7 and initiate a more intense wake-up service to ensure that the driver can wake up in time and avoid potential safety risks caused by excessive rest.

[0083] 7. After the driver experiences a 5-minute gentle wake-up service and does not turn off the rest mode, the intelligent cockpit system controls the seat or bunk to vibrate strongly and plays more energetic wake-up music to wake up the driver in a timely manner.

[0084] When the 5-minute gentle wake-up service fails to make the driver turn off the rest mode, the intelligent cockpit system upgrades the wake-up measures. The system sends a stronger command to the vibration control module of the seat or bunk, causing the seat or bunk to vibrate with a larger amplitude. This vibration intensity is significantly higher than the previous slow vibration and can more directly stimulate the driver's body and attract their attention. At the same time, the system switches the music playback mode and starts playing wake-up music with a faster rhythm, louder volume, and more energetic melody. These music usually have a strong rhythm and high energy, which can quickly break the driver's rest state, stimulate their brain nerves, and make them wake up as soon as possible. Through this powerful combination of wake-up methods, the system can ensure that the driver regains a clear consciousness in the shortest time and guarantee driving safety.

[0085] 8. The wake-up service stops until the driver turns off the rest mode.

[0086] After initiating the intense wake-up service, the intelligent cockpit system continuously performs the wake-up operation until it detects that the driver has turned off the rest mode. The system will monitor the driver's operation instructions in real-time. Once it receives the signal to turn off the rest mode, it will immediately stop the vibration of the seat or bunk and the music playback, ending the entire wake-up service process. At this time, the system will consider that the driver has fully woken up and is ready to continue driving or perform other activities. This mechanism of continuous wake-up until the driver responds can effectively avoid various safety hazards that may be caused by the driver not being woken up in time and ensure that the driver is always in a safe and controllable state.

[0087] 9. After the driver exits the rest mode, the seat or bunk returns to the state before the rest mode was activated, the sunshade is opened, and the music playback stops.

[0088] When the driver successfully exits the rest mode, the intelligent cockpit system starts to perform a series of restoration operations to quickly restore the in-vehicle environment to the normal driving state. First, the system sends commands to the seat adjustment system to control the seat or berth to gradually adjust back to the state before the rest mode was activated. At the same time, the system sends commands to the sunshade control module to open the sunshade, allowing sunlight to enter the vehicle, enhancing the brightness and visibility inside the vehicle, and helping the driver better adapt to the external environment. In addition, the system will stop the music playback and turn off the music playback system to avoid interference from music during the driver's driving operation. Through these restoration operations, the system provides the driver with a clean, comfortable, and safe driving environment, enabling the driver to quickly engage in the subsequent journey.

[0089] In summary, the intelligent rest system has excellent and practical technical effects in many aspects. In terms of customized experience, by leveraging the driver FaceID identity recognition technology, it can accurately identify different driver identities, and then, combined with the driver's personal settings or in-depth analysis of data by the AI model, create a personalized rest plan for each driver, fully meeting the unique needs of different drivers during rest. In terms of intelligent integrated control, with the intelligent cockpit as the core, the system realizes efficient communication and collaborative operation with multiple subsystems in the vehicle, such as seats, berths, and music playback systems, through CAN messages, ensuring that the functions of the rest mode can be accurately and orderly executed, demonstrating strong intelligent integrated control capabilities. Its intelligent wake-up management function is also very prominent. After the rest mode is activated, the system will accurately calculate the wake-up time based on preset conditions or actual rest situations. First, it will wake up the driver in a gentle way with the slow vibration of the seat or berth and soothing music. If the driver does not turn off the rest mode within 5 minutes, the system will automatically switch to a powerful wake-up method with stronger vibration and more exciting music to ensure that the driver can be woken up in a timely and comfortable manner, effectively guaranteeing driving safety. In addition, when the driver exits the rest mode, the system will quickly and automatically restore the seat or berth to the state before the rest mode was activated, while opening the sunshade and stopping the music playback, providing the driver with a convenient and efficient operation experience, quickly returning the in-vehicle environment to the normal driving state, greatly reducing the driver's operation burden, and creating a comfortable and safe driving environment in all aspects.

[0090] Further, as Figures 1 to 3 a specific implementation of the method shown, this embodiment provides a vehicle control device. The vehicle adopts an intelligent cockpit system integrated with an AI model, as Figure 4 shown, the device includes: a collection unit 401, an identification unit 402, a processing unit 403, and a control unit 404.

[0091] The collection unit 401 is configured to collect the identity characteristic information of the current driver in response to the input rest command;

[0092] An identification unit 402, configured to perform identity identification on the driver based on the identity feature information to obtain an identity identification result;

[0093] A processing unit 403, configured to determine rest environment parameters according to the identity identification result; the rest environment parameters include at least one of a rest duration, a seat angle adjustment parameter, a seat massage intensity parameter, an ambient temperature parameter, an air conditioner wind force parameter, an aroma type parameter, a water cup heating parameter, and a sunshade adjustment parameter;

[0094] A control unit 404, configured to control the vehicle based on the rest environment parameters.

[0095] In a specific application scenario, the identification unit 402 is specifically configured to perform matching in historical data based on the identity feature information; in the case of successful matching, determine that the driver is an existing user; otherwise, determine that the driver is a new user.

[0096] In a specific application scenario, the processing unit 403 is further specifically configured to, when the driver is an existing user, call the historical rest environment parameters of the existing user; the historical rest environment parameters are obtained by analyzing based on the AI model; real-time obtain the driver's physiological data and behavior status, and determine adjustment parameters based on the physiological data and the behavior status; control the vehicle according to the adjustment parameters and the historical rest environment parameters.

[0097] In a specific application scenario, the processing unit 403 is further specifically configured to, when the driver is a new user, real-time obtain the driver's physiological data and behavior status; determine the rest environment parameters based on the driver's physiological data and behavior status, and control the vehicle based on the rest environment parameters.

[0098] In a specific application scenario, the control unit 404 is further specifically configured to adjust the driver's seat according to the seat angle adjustment parameter; or, adjust the seat massage intensity according to the seat massage intensity parameter; or, adjust the interior temperature according to the ambient temperature parameter; or, determine the released aroma type according to the aroma type parameter; or, adjust the opening and closing degree of the interior sunshade according to the sunshade adjustment parameter; or, adjust the air outlet of the interior air conditioner according to the air conditioner wind force parameter; or, heat the water cup holder according to the water cup heating parameter; or, time according to the rest duration, and start a wake-up service by means of music and / or vibration when the preset duration is reached.

[0099] In a specific application scenario, the control unit 404 is further configured to adjust the rest environment parameters in response to a voice input instruction; store the rest environment parameters of this time when the driver is a new user; and update the rest environment parameters of this time when the driver is an existing user.

[0100] It should be noted that for other corresponding descriptions of each functional unit involved in the vehicle control device provided in this embodiment, reference can be made to Figures 1 to 3 the corresponding description in, which will not be elaborated here.

[0101] Based on the method as described above such as Figures 1 to 3 shown, correspondingly, this embodiment further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method as described above such as Figures 1 to 3 shown is implemented.

[0102] Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, and the software product can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0103] Based on the method as described above such as Figures 1 to 3 shown, and Figure 4 the virtual device embodiment shown, in order to achieve the above object, this embodiment of the present application further provides an electronic device, which can be configured on the computer side, or the vehicle side, etc. The device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to implement the method as described above such as Figures 1 to 3 shown.

[0104] Based on the above electronic device, this embodiment of the present application further provides a vehicle, which specifically may include: the device as described above such as Figure 4 shown or the above electronic device. The vehicle can specifically be a new energy vehicle or a traditional vehicle, etc.

[0105] Optionally, the above physical device may further include a user interface, a network interface, a camera, a radio frequency (RF) circuit, sensors, an audio circuit, a WI-FI module, etc. The user interface may include a display screen (Display), an input unit such as a keyboard (Keyboard), etc. Optionally, the user interface may further include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0106] Those skilled in the art can understand that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation to the physical device, and may include more or fewer components, or combine certain components, or have different component arrangements.

[0107] The storage medium may also include an operating system and a network communication module. The operating system is a program for managing the hardware and software resources of the above-mentioned physical device, and supports the operation of information processing programs and other software and / or programs. The network communication module is used to implement communication between components inside the storage medium, as well as communication between other hardware and software in the information processing physical device.

[0108] Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or can also be implemented by hardware. Applying the solution of this embodiment, compared with the related art, first, in response to the input rest instruction, collect the identity characteristic information of the current driver; perform identity recognition on the driver based on the identity characteristic information to obtain an identity recognition result; according to the identity recognition result, determine the rest environment parameters; the rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, ambient temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, sunshade adjustment parameter; based on the rest environment parameters, control the vehicle. This embodiment realizes a customized rest solution for the driver by using an AI model, formulates different rest modes according to different driver identities, thereby creating a convenient and comfortable rest environment for the driver and effectively relieving fatigue.

[0109] It should be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

[0110] The above are only specific embodiments of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments described herein, but rather will conform to the broadest scope consistent with the principles and novel features claimed herein

[0111] The above description and the drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process, and other changes. Embodiments merely represent possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. As used in this application, the term "and / or" refers to any and all possible combinations including one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" etc. mean the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groupings thereof. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of additional identical elements in the process, method, or apparatus comprising the element. Herein, each embodiment may focus on the differences from other embodiments, and the same or similar parts among the various embodiments may be referred to each other. For the methods, apparatuses, etc. disclosed in the embodiments, if they correspond to the method parts disclosed in the embodiments, the relevant parts may refer to the description of the method parts

[0112] Those skilled in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner may depend on the specific application and design constraints of the technical solution. The technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, apparatuses, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein

[0113] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms. The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the various functional units can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit.

[0114] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks can occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, which can depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks can also occur in a different order than that disclosed in the description. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, which can depend on the functions involved. Each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A vehicle control method, characterized in that, The vehicle adopts an intelligent cockpit system integrated with an AI model, and the method includes: In response to an input rest instruction, collect the identity feature information of the current driver; Based on the identity feature information, perform identity recognition on the driver to obtain an identity recognition result; According to the identity recognition result, determine the rest environment parameters; the rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, ambient temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, sunshade adjustment parameter; Based on the rest environment parameters, control the vehicle.

2. The method according to claim 1, characterized in that, The identity feature information includes at least one of facial features, voiceprint features, fingerprint features, and iris features; The performing identity recognition on the driver based on the identity feature information to obtain an identity recognition result includes: Match based on the identity feature information in historical data; In the case of successful matching, determine that the driver is an existing user; otherwise, determine that the driver is a new user.

3. The method according to claim 2, wherein The determining the rest environment parameters according to the identity recognition result includes: In the case that the driver is an existing user, call the historical rest environment parameters of the existing user; the historical rest environment parameters are obtained by analyzing based on the AI model; Real-time obtain the driver's physiological data and behavior status, and determine adjustment parameters based on the physiological data and the behavior status; According to the adjustment parameters and the historical rest environment parameters, control the vehicle.

4. The method according to claim 2, wherein The determining the rest environment parameters according to the identity recognition result further includes: In the case that the driver is a new user, real-time obtain the driver's physiological data and behavior status; Based on the driver's physiological data and behavior status, determine the rest environment parameters, and control the vehicle based on the rest environment parameters.

5. The method according to claim 1, wherein The controlling the vehicle based on the rest environment parameters includes: According to the seat angle adjustment parameter, adjust the driver's seat; and / or, According to the seat massage intensity parameter, adjust the seat massage intensity; and / or, According to the ambient temperature parameter, adjust the temperature inside the vehicle; and / or, According to the fragrance type parameter, determine the released fragrance type; and / or, According to the sunshade adjustment parameter, adjust the opening and closing degree of the sunshade inside the vehicle; and / or, According to the air conditioner wind force parameter, adjust the air outlet of the air conditioner inside the vehicle; and / or, According to the water cup heating parameter, heat the water cup holder; and / or, Time according to the rest duration, and in the case of reaching the preset duration, start a wake-up service by means of music and / or vibration.

6. The method according to any one of claims 1 to 5, characterized in that, After controlling the vehicle based on the rest environment parameters, the method further includes: In response to a voice input instruction, adjust the rest environment parameters; In the case that the driver is a new user, store the rest environment parameters of this time; In the case that the driver is an existing user, update the rest environment parameters of this time.

7. A vehicle control device, characterized in that, The vehicle adopts an intelligent cockpit system integrated with an AI model, and the device includes: The acquisition unit is configured to collect the identity characteristic information of the current driver in response to an input rest instruction; The recognition unit is configured to perform identity recognition on the driver based on the identity characteristic information to obtain an identity recognition result; The processing unit is configured to determine rest environment parameters according to the identity recognition result; the rest environment parameters include at least one of rest duration, seat angle adjustment parameter, seat massage intensity parameter, environmental temperature parameter, air conditioner wind force parameter, fragrance type parameter, water cup heating parameter, sunshade adjustment parameter; The control unit is configured to control the vehicle based on the rest environment parameters.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein, When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

10. A vehicle, characterized in that, Comprising: The device according to claim 7, or the electronic device according to claim 9.

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