Vehicle intelligent adjustment method and device, vehicle, medium and program

Abstract

The application relates to the technical field of vehicle control, in particular to a vehicle intelligent adjustment method and device, a vehicle, a medium and a program, wherein the method comprises the following steps: identifying identity information of a driver; if it is determined according to the identity information that the driver drives the current vehicle for the first time, collecting biological parameters and an absolute driving height of the driver, wherein the absolute driving height is the distance between the eyes of the driver and the floor height of the vehicle body when the seat height is adjusted to the lowest; determining target adjustment parameters of multiple target mechanisms of the vehicle according to the biological parameters and the absolute driving height, and adjusting the multiple target mechanisms according to the target adjustment parameters, so that the problems that the related art needs the driver to adjust each mechanism parameter one by one, the adjustment process of the vehicle is too cumbersome and the intelligence is poor and the like are solved.

Description

Technical Field

[0001] This application relates to the field of vehicle control technology, and in particular to a vehicle intelligent adjustment method, device, vehicle, medium and program. Background Technology

[0002] With the development of the times and the progress of technology, modern consumers' needs for cars are no longer limited to a means of transportation, but they pay more attention to driving experience and ride comfort. Therefore, car manufacturers are constantly launching innovative technologies to improve the handling performance and automation of vehicles in order to meet drivers' and passengers' pursuit of a high-quality driving life.

[0003] In related technologies, the adjustment mechanism of the electric seat adjustment system is driven by an electric motor to achieve adjustment functions such as the seat's fore-and-aft position, height angle, and backrest tilt; the adjustment motor of the rearview mirror adjustment system drives the mechanical device inside the rearview mirror lens to achieve adjustment functions such as the lens's up-and-down flipping and left-and-right swinging; the projection unit of the electric head-up display adjustment system is driven by an adjustment motor to achieve adjustment functions such as the projection angle, brightness, and display content. Thus, through the comprehensive application of electric motors, sensors, control units, and power management technologies, the electrification of various automotive components and their electric adjustment functions are realized, improving driving comfort and convenience.

[0004] However, the relevant technologies require users, especially new car drivers, to spend a considerable amount of time adapting to and adjusting the various electrified components. By setting or repeatedly adjusting these electrified components one by one, they can find a relatively satisfactory position. This increases the preparation time and complexity before driving, resulting in poor vehicle intelligence. Summary of the Invention

[0005] This application provides a vehicle intelligent adjustment method, device, vehicle, medium, and program to solve the problems of related technologies requiring drivers to adjust the parameters of each mechanism one by one, resulting in an overly cumbersome vehicle adjustment process and poor intelligence.

[0006] The first aspect of this application provides a vehicle intelligent adjustment method, including the following steps: identifying the driver's identity information; if it is determined from the identity information that the driver is driving the current vehicle for the first time, then collecting the driver's biometrics and absolute driving height, wherein the absolute driving height is the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest position; determining target adjustment parameters for multiple target mechanisms of the vehicle based on the biometrics and absolute driving height, and adjusting the multiple target mechanisms based on the target adjustment parameters.

[0007] Optionally, in one embodiment of this application, if it is determined from the identity information that the driver is not driving the current vehicle for the first time, then the driver's historical data is obtained, and the target adjustment parameters of multiple target mechanisms are determined based on the historical data.

[0008] Optionally, in one embodiment of this application, determining target adjustment parameters for multiple target mechanisms of a vehicle based on biological parameters and absolute driving height includes: identifying gender and weight among the biological parameters; determining a correspondence table between weight, absolute driving height, and adjustment parameters based on gender; and determining the target adjustment parameters for multiple target mechanisms based on the correspondence table.

[0009] Optionally, in one embodiment of this application, the multiple target mechanisms include multiple seats, rearview mirrors, electronically adjustable pillars, and head-up displays, and the target adjustment parameters include target seat posture, target head-up display angle, target steering wheel angle, and target rearview mirror angle.

[0010] Optionally, in one embodiment of this application, the seat is provided with at least one of a lumbar airbag, a neck airbag, and a shoulder airbag, and the target seat posture includes at least one of the following: height, fore-aft position, thigh support angle, lumbar airbag inflation degree, neck airbag inflation angle, and shoulder airbag support angle.

[0011] Optionally, in one embodiment of this application, before determining the target adjustment parameters of multiple target mechanisms of the vehicle based on biological parameters and absolute driving height, the method further includes: obtaining a first threshold and a second threshold for absolute driving height, wherein the second threshold is greater than the first threshold; if the driver's absolute driving height is less than the first threshold, then the absolute driving height is the first threshold; if the driver's absolute driving height is greater than the second threshold, then the absolute driving height is the second threshold.

[0012] A second aspect of this application provides a vehicle intelligent adjustment device, comprising: an identification module for identifying the driver's identity information; an acquisition module for collecting the driver's biometric parameters and absolute driving height if the identity information indicates that the driver is driving the current vehicle for the first time, wherein the absolute driving height is the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest setting; and a determination module for determining target adjustment parameters for multiple target mechanisms of the vehicle based on the biometric parameters and absolute driving height, or determining target adjustment parameters for multiple target mechanisms based on the driver's historical data, and adjusting the multiple target mechanisms according to the target adjustment parameters.

[0013] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the vehicle intelligent adjustment method as described in the above embodiments.

[0014] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the vehicle intelligent adjustment method as described in the above embodiments.

[0015] A fifth aspect of this application provides a computer program product, including a computer program or instructions, which, when executed, is used to implement the vehicle intelligent adjustment method as described in the above embodiments.

[0016] Therefore, this application has the following beneficial effects:

[0017] This application embodiment allows for vehicle adjustment when the driver first drives the vehicle, taking into full account the driver's biological parameters and absolute driving height. Since the absolute driving height is the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest setting, this is used as a reference to determine the driver's field of vision, which is more in line with the driver's actual situation. Thus, personalized vehicle adjustment can be achieved based on biological parameters and absolute driving height, making the adjusted vehicle more in line with the driver's actual driving needs and effectively improving driving comfort and safety.

[0018] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0019] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0020] Figure 1 This is a flowchart of a vehicle intelligent adjustment method provided according to an embodiment of this application;

[0021] Figure 2 This is a block diagram of a vehicle intelligent adjustment system according to an embodiment of this application;

[0022] Figure 3 This is a block diagram of a vehicle intelligent adjustment device provided according to an embodiment of this application;

[0023] Figure 4 This is a structural schematic diagram of a vehicle according to an embodiment of this application. Detailed Implementation

[0024] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0025] In related technologies, to meet user needs, seats, rearview mirrors, and head-up displays can all be electrically adjusted. However, for first-time car drivers, the number of parts that need to be adjusted after getting in the car is increasing. Each user, especially new users, needs to spend a considerable amount of time adapting to and breaking in their new vehicle. Any change in any component that is closely related to the driving experience, such as seat posture, interior and exterior rearview mirror angles, head-up display angle, and steering wheel angle, can affect other related changes. It is difficult to adjust to the right position immediately. Each driving-related component needs to be set one by one or adjusted repeatedly to find a relatively satisfactory position, which is quite time-consuming and energy-intensive. Furthermore, current cars on the market lack head and neck support functions for drivers. For drivers who need to drive for long periods of time, this can easily lead to neck discomfort, affecting the driving experience and health.

[0026] To address this, this application proposes a vehicle intelligent adjustment method, device, vehicle, medium, and program. By identifying the driver's identity information, it can provide corresponding personalized customization for drivers who are driving the current vehicle for the first time and those who are not, thereby improving the adjustment efficiency of various vehicle mechanisms. For drivers driving the current vehicle for the first time, it can automatically collect their biological parameters and absolute driving height, and accurately calculate the optimal adjustment parameters of multiple target mechanisms of the vehicle based on these data, thereby achieving automated and personalized adjustment. This allows the driver to quickly achieve a comfortable driving posture and a wide driving field of vision, saving not only the time and effort of manual adjustment but also significantly improving driving comfort and safety. At the same time, the seat provides support for the driver's neck, waist, and other parts, helping to reduce driving fatigue and improve the driving experience.

[0027] The vehicle intelligent adjustment method, device, vehicle, medium, and program according to embodiments of this application are described below with reference to the accompanying drawings. Specifically... Figure 1 This is a flowchart illustrating a vehicle intelligent adjustment method provided in an embodiment of this application.

[0028] like Figure 1 As shown, the intelligent vehicle adjustment method includes the following steps:

[0029] In step S101, the driver's identity information is identified.

[0030] The driver's identity information usually refers to a series of data or identifiers that can uniquely identify the driver. The identification of the driver's identity information can be achieved through fingerprint recognition, facial recognition, iris recognition, smart device connection and other methods.

[0031] It is understood that, in the embodiment of this application, when intelligently adjusting the vehicle, it is necessary to first identify the driver's identity information and determine whether the driver is driving the current vehicle for the first time. By identifying the driver's identity information, the next step of the personalized customization process is clarified, thereby improving the efficiency of intelligent vehicle adjustment and enhancing the user experience.

[0032] It should be noted that the embodiments of this application can identify the driver's identity information in a variety of ways. For example, a camera using facial recognition technology can capture the driver's facial image and compare it with a facial database stored in the system. Through the analysis and matching of facial features, the system can confirm the driver's identity. If the facial feature is not recorded in the database, it can be determined that the driver is driving for the first time. Another example is that the driver uses a smart device to connect to the vehicle system. The system can check whether there is a driving record for the vehicle on the smart device. If there is no record on the smart device, or if the record indicates that this is the first time the driver has connected to the current vehicle, the system considers the driver to be driving for the first time.

[0033] For example, such as Figure 2 As shown, when the driver enters the cabin, facial recognition via camera determines if there is someone in the driver's seat. Then, VIU_F (Vehicle Integration Unit – Front) determines if the driver is logging in for the first time. If it is determined that it is not the first time logging in, the cloud TBOX (Telematics Box intelligent remote control terminal) controller retrieves the corresponding person's driving-related system memory data and drives the seat, rearview mirror, power adjustment column, and head-up display to the target position according to the memory data. If it is determined to be the first time logging in, it enters the intelligent posture adjustment preparation.

[0034] In step S102, if it is determined from the identity information that the driver is driving the current vehicle for the first time, then the driver's biometric parameters and absolute driving height are collected.

[0035] Among them, biological parameters refer to various measurements or attributes related to the driver's physical characteristics. These parameters are used to determine and adjust the adjustment parameters of the vehicle's internal equipment; absolute driving height is the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest setting.

[0036] It is understood that if the embodiments of this application determine that the driver is driving the current vehicle for the first time, the driver's biological parameters and absolute driving height are collected. The collection of these parameters provides accurate data support for subsequent mechanism adjustments, ensuring the accuracy and reliability of the adjustment results.

[0037] It should be noted that driver biometrics can be collected through vehicle sensors or smart devices, and the absolute driving height can be collected by measuring the height of the driver's eyes from the vehicle floor using vehicle-mounted measuring equipment (such as laser rangefinders or ultrasonic rangefinders).

[0038] For example, such as Figure 2 As shown, VIU_ML (Vehicle Integration Unit-Left) calculates the driver's weight based on seat pressure, while VIU_F collects images through a camera, uses deep learning algorithms for image processing, identifies the driver's gender, shoulder position, and neck position, calculates the driver's eye position height, and calculates the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest setting based on the current seat height.

[0039] In this embodiment of the application, if it is determined from the identity information that the driver is not driving the current vehicle for the first time, then the driver's historical data is obtained, and the target adjustment parameters of multiple target mechanisms are determined based on the historical data.

[0040] Among them, the driver's historical data source refers to various information and records related to the driver that were generated in the past period of time to describe their driving behavior, vehicle usage, personal preferences, and traffic safety. These typically include: driving behavior data, vehicle usage data, personal information data, preference settings data, and vehicle networking data.

[0041] It is understood that, in this application embodiment, after determining that the driver is not driving the current vehicle for the first time, the driver's historical data is obtained. Then, based on the obtained driving behavior data, the driver's driving habits and preferences are analyzed, and personal information such as the driver's height and weight is understood. In this way, the target adjustment parameters of multiple target mechanisms of the vehicle are determined, and the positions of each target mechanism of the vehicle are adjusted to the optimal position based on the historical data. This saves the time of re-collecting the driver's biological parameters and absolute driving height, thereby improving the efficiency of personalized customization.

[0042] It should be noted that the embodiments of this application can utilize vehicle networking technology to collect driver's driving behavior, vehicle status and external environment data in real time through the vehicle's built-in sensors and communication devices, and after data cleaning, preprocessing, analysis and mining in the cloud, a historical database of the driver can be constructed.

[0043] In step S103, target adjustment parameters of multiple target mechanisms of the vehicle are determined based on biological parameters and absolute driving height, and the multiple target mechanisms are adjusted based on the target adjustment parameters.

[0044] It is understood that the embodiments of this application can determine the target adjustment parameters of multiple target mechanisms of the vehicle based on biological parameters and absolute driving height, and adjust multiple target mechanisms according to the target adjustment parameters. By taking into account the driver's biological parameters and absolute driving height, the position and angle of the vehicle seat, steering wheel, etc. can be adjusted to better suit the driver's body shape and driving habits, thereby improving the driver's comfort and satisfaction and making it easier for them to adapt to long-term driving.

[0045] In this embodiment of the application, the target adjustment parameters of multiple target mechanisms of the vehicle are determined based on biological parameters and absolute driving height, including: identifying gender and weight in the biological parameters; determining a correspondence table between weight, absolute driving height and adjustment parameters based on gender; and determining the target adjustment parameters of multiple target mechanisms based on the correspondence table.

[0046] It is understood that, by identifying gender and weight among biological parameters and combining them with absolute driving height, the embodiments of this application can accurately determine the target adjustment parameters of multiple target mechanisms of the vehicle. This personalized adjustment method provides drivers with a tailored driving environment, enabling them to find the most suitable driving position and driving posture for different heights, weights, and genders, thereby reducing driving fatigue. Furthermore, by establishing a correspondence table between weight, absolute driving height, and adjustment parameters for different genders, a scientific basis is provided for the parameter adjustment of various target mechanisms of the vehicle. The vehicle can more flexibly adapt to drivers of different body types and genders, improving the vehicle's versatility and adaptability. This process realizes the intelligent and automated adjustment of the vehicle. Once the system identifies the driver's gender and weight, it can automatically adjust the target mechanisms according to the correspondence table without the need for manual operation by the driver, greatly improving the efficiency and convenience of the vehicle's adaptive adjustment.

[0047] It should be noted that significant differences in weight distribution, height, and body type between men and women affect the driver's weight distribution inside the vehicle. Furthermore, different heights and body types require different driving heights. Therefore, when creating the corresponding relationship table, gender differences must be taken into account. Weight determines the adjustment requirements for seat support, seat height, and tilt angle to ensure the driver receives sufficient support and comfort during driving. Absolute driving height determines the driver's field of vision and vehicle stability, which in turn affects the adjustment of vehicle height, rearview mirror angle, and head-up display tilt angle to ensure the driver has a clear view and stable handling experience under various road conditions. Therefore, it is necessary to create a corresponding relationship table between weight, absolute driving height, and adjustment parameters for different genders to precisely adjust the target parameters and optimize the driving experience.

[0048] For example, this application embodiment needs to formulate a correspondence table between weight, absolute driving height and adjustment parameters for different genders. The corresponding female driving position correspondence table and male driving position correspondence table are shown in Table 1 and Table 2 below, respectively. First, data on weight and absolute driving height for different genders are collected. Then, based on these data, the optimal seat height, fore-aft distance, backrest angle, head-up display angle, steering wheel angle and left and right rearview mirror positions for the driver are calculated. A self-learning algorithm is used to calculate the position of each height point. Finally, the correspondence table between weight, absolute driving height and adjustment parameters for different genders is obtained. The blank spaces in Table 1 and Table 2 are confirmed based on the actual situation and are not specifically set.

[0049] Table 1. Female Driver's Seat Correspondence Table

[0050]

[0051]

[0052] Table 2. Male Driver's Seat Correspondence Table

[0053]

[0054] In this embodiment, the multiple target mechanisms include multiple seats, rearview mirrors, electronically adjustable pillars, and head-up displays. The target adjustment parameters include target seat posture, target head-up display angle, target steering wheel angle, and target rearview mirror angle.

[0055] The seat provides comfortable support for the driver and can collect data on the support force of the driver's shoulders, neck, thighs, and waist; the rearview mirror is used to observe external information of the vehicle, and the mirror lens adjusts the driver's field of vision through an adjustment actuator, using a position acquisition mechanism to record and realize some intelligent functions; the steering column connects the steering wheel to the steering shaft, transmits the driver's steering wheel angle to the steering shaft, determines the current steering wheel angle, and is the actuator for adjusting the steering wheel position; the head-up display projects the instrument display such as vehicle speed, turn signals, and maps onto the windshield.

[0056] It is understood that the multiple target mechanisms in the embodiments of this application include a seat, a rearview mirror, an electronically adjustable column, and a head-up display. The target adjustment parameters include the target seat posture, the target head-up display angle, the target steering wheel angle, and the target mirror angle. By adjusting the seat posture, the driver can be ensured to obtain the best sitting posture and support, effectively alleviating fatigue and discomfort caused by long-term driving. A reasonable rearview mirror angle can minimize blind spots, allowing the driver to clearly observe the situation behind and to the sides of the vehicle. By adjusting the height and tilt angle of the steering wheel, the driver can be ensured to maintain a straight posture during driving, reducing arm and shoulder fatigue. By adjusting the height and tilt angle of the head-up display, driving information can be directly projected into the driver's field of vision, eliminating the need to look down at the instrument panel, thereby improving driving safety.

[0057] In this embodiment of the application, the seat is provided with at least one of a lumbar airbag, a neck airbag and a shoulder airbag, and the target seat posture includes at least one of the following: height, fore-aft position, thigh support angle, lumbar airbag inflation degree, neck airbag inflation angle and shoulder airbag support angle.

[0058] It is understood that the lumbar airbag, neck airbag and shoulder airbag on the seat in the embodiments of this application can provide support and protection for the waist, neck and shoulders of the passenger. By adjusting the inflation and deflation volume of the airbags, the needs of passengers of different body types can be met, providing them with more fitting and comfortable support and improving the driver's driving experience.

[0059] Specifically, different drivers vary in body shape, height, and seating habits. Airbag settings can be adjusted to meet individual needs, with target seat posture including at least one of the following: height, fore-aft position, thigh support angle, lumbar airbag inflation level, neck airbag inflation angle, and shoulder airbag support angle. Coordinated adjustments to height, fore-aft position, and thigh support ensure the driver's posture conforms to ergonomic principles, reducing strain on various parts of the body. The lumbar airbag inflation level can be adjusted according to the driver's body type and seating posture requirements to achieve optimal lumbar support.

[0060] The adjustable inflation angle of the neck airbag ensures proper neck support and protection, reducing the risk of neck injury. Simultaneously, appropriate neck support improves driver stability and reduces neck fatigue from prolonged driving. Similarly, the adjustable support angle of the shoulder airbag ensures proper shoulder support, reducing shoulder fatigue. Appropriate shoulder support also enhances driver comfort and the overall driving experience. Precise adjustments to these seat parameters fully consider individual driver differences and needs, enabling personalized seat posture customization. Through the intelligent system's automatic adjustment function, drivers can achieve the optimal seat posture without manually adjusting seat parameters, improving the convenience and efficiency of seat use.

[0061] For example, such as Figure 2 As shown, during seat adjustment, VIU_F drives the XY motor of the electronically controlled column to ensure it moves precisely to the preset target position, and simultaneously controls the position adjustment of the head-up display motor to achieve the best display effect. VIU_ML is responsible for adjusting the seat and left rearview mirror. It drives the high-speed seat motor, the front and rear seat motors, and the backrest motor to achieve comprehensive seat adjustment. It also controls the XY motor of the left rearview mirror so that the rearview mirror can move precisely to the set target position. VIU_MR (Vehicle Integration Unit - Right) is responsible for adjusting the right rearview mirror. By driving its XY motor, it ensures that the right rearview mirror can move accurately to the preset position. During reversing, the system will automatically adjust the rearview mirror downward by 20% in the X direction (horizontal direction) according to the current position of the driver's rearview mirror to provide a wider field of vision, thereby improving reversing safety.

[0062] In addition, the seat adjustment system integrates a leg pressure sensor to automatically adjust the seat lift motor according to the driver's gender and weight. When the driver is female, if the support force detected by the leg pressure sensor exceeds 80N, the seat lift will stop until the support force drops to 80N or reaches the physical limit position. If the driver is male, the stopping condition is that the support force exceeds 100N.

[0063] During seat adjustment, the system also uses a camera to identify the driver's shoulder position and adjusts the inflation of the shoulder airbag accordingly to ensure that male and female drivers receive 60N and 40N of support respectively. At the same time, the system will also fine-tune the position of the lumbar support until the lumbar support reaches the target value of 50N. Finally, the system will also adjust the inflation of the neck airbag according to the driver's gender and needs to ensure that the neck receives the set support, specifically 60N for men and 40N for women.

[0064] like Figure 2As shown, the system also has a memory function, capable of storing information such as the driver's seat height, backrest angle, seat cushion position, XY positions of the left and right rearview mirrors, electric steering wheel position, and head-up display position. After the vehicle has been driven for 10 minutes, the system automatically checks the deviation between the current system positions and the memory positions. If the deviation exceeds 1%, the VDC (Vehicle Dynamics Control) will record this position information and upload it to the cloud. By comparing the current position with the initially set target position, the system can continuously optimize its set target position to improve the accuracy and comfort of the adjustment.

[0065] In addition, the system can remember the personalized settings set by the user. When the user logs into other vehicle systems or enters the vehicle again, the system will automatically recall and restore the previously remembered personalized settings, providing the driver with a consistent and comfortable driving experience.

[0066] In this embodiment of the application, before determining the target adjustment parameters of multiple target mechanisms of the vehicle based on biological parameters and absolute driving height, the method further includes: obtaining a first threshold and a second threshold for absolute driving height, wherein the second threshold is greater than the first threshold; if the driver's absolute driving height is less than the first threshold, then the absolute driving height is the first threshold; if the driver's absolute driving height is greater than the second threshold, then the absolute driving height is the second threshold.

[0067] The first threshold for absolute driving height is a lower limit value used to determine the driver's absolute driving height, such as 60 cm, and the second threshold is an upper limit value used to determine the driver's absolute driving height, such as 80 cm.

[0068] It is understood that the first threshold in the embodiments of this application is usually set to a lower absolute driving height value. When the driver's actual absolute driving height is lower than this threshold, the vehicle intelligent adjustment system will consider the driver to be short and automatically adjust the absolute driving height to the threshold to ensure that the driver has sufficient vision and driving space. The second threshold is set to a higher absolute driving height value. When the driver's actual absolute driving height is higher than this threshold, the vehicle intelligent adjustment system will consider the driver to be tall and automatically adjust the absolute driving height to the threshold. Further adjustments to seat height, steering wheel tilt angle, etc. are required to ensure that the driver's legs and head have sufficient space to avoid discomfort and safety hazards during driving.

[0069] Therefore, by setting a first threshold and a second threshold, the vehicle intelligent adjustment system can automatically adjust to a reasonable range based on the driver's absolute driving height, select a suitable seat position for the driver, and ensure that drivers of different body proportions can obtain the best driving posture and field of vision. This helps to improve driving comfort and safety, reduce driver fatigue and safety hazards caused by uncomfortable sitting posture or limited field of vision, and achieve a personalized driving experience.

[0070] According to the vehicle intelligent adjustment method proposed in this application, by identifying the driver's identity information, it can provide corresponding personalized customization for drivers who are driving the current vehicle for the first time and those who are not driving it for the first time, thereby improving the adjustment efficiency of various vehicle mechanisms. If the driver is driving the current vehicle for the first time, his biological parameters and absolute driving height are collected. Based on the correspondence table between weight, absolute driving height and adjustment parameters corresponding to different genders, multiple target mechanisms of the vehicle are determined and adjusted to the most suitable position for the driver, which greatly improves driving comfort and convenience. If the driver is not driving the current vehicle for the first time, the driver's historical data is directly obtained, and the position of each target mechanism of the vehicle is adjusted to the optimal position based on the historical data, thereby saving the time of re-collecting biological parameters and absolute driving height. Furthermore, this application embodiment realizes intelligent vehicle adjustment. The driver does not need to manually adjust the vehicle mechanism. It can accurately match the adjustment parameters of each target mechanism according to the driver's body shape and driving habits, ensuring that the driver has a comfortable sitting posture and a wide field of vision during driving. This not only saves the driver's time and energy, but also improves the convenience and intelligence of driving.

[0071] Next, the vehicle intelligent adjustment device proposed according to the embodiments of this application is described with reference to the accompanying drawings.

[0072] Figure 3 This is a block diagram of a vehicle intelligent adjustment device according to an embodiment of this application.

[0073] like Figure 3 As shown, the vehicle intelligent adjustment device 30 includes: an identification module 310, an acquisition module 320, and a determination module 330.

[0074] The system includes an identification module for identifying the driver's identity information; an acquisition module for collecting the driver's biometrics and absolute driving height if the identification information indicates that the driver is driving the vehicle for the first time; and a determination module for determining the target adjustment parameters of multiple target mechanisms of the vehicle based on the biometrics and absolute driving height, or based on the driver's historical data, and adjusting the multiple target mechanisms according to the target adjustment parameters.

[0075] It should be noted that the foregoing explanation of the vehicle intelligent adjustment method embodiment also applies to the vehicle intelligent adjustment device of this embodiment, and will not be repeated here.

[0076] According to the vehicle intelligent adjustment device proposed in this application embodiment, the identification module accurately identifies the driver's identity information, and then obtains or collects the driver's relevant parameters. For first-time drivers, detailed biometric parameters and absolute driving height are collected to provide basic data for personalized driving adjustment. For drivers who are not first-time drivers, their historical data is directly called, which improves the adjustment efficiency of various vehicle components. Based on these parameters, the determination module accurately calculates the target adjustment parameters of multiple target mechanisms of the vehicle, realizing fast and accurate personalized driving adjustment. This not only improves driving comfort and safety, but also significantly enhances the driver's driving experience, realizing intelligent vehicle adjustment.

[0077] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include:

[0078] The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0079] When the processor 402 executes the program, it implements the vehicle intelligent adjustment method provided in the above embodiments.

[0080] Furthermore, the vehicle also includes:

[0081] Communication interface 403 is used for communication between memory 401 and processor 402.

[0082] The memory 401 is used to store computer programs that can run on the processor 402.

[0083] The memory 401 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0084] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0085] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0086] Processor 402 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of this application.

[0087] This application also provides a computer-readable storage medium storing a computer program or instructions thereon, which, when executed by a processor, implements the above-described vehicle intelligent adjustment method.

[0088] This application also provides a computer program product, including a computer program or instructions, which, when executed, implement the above-described vehicle intelligent adjustment method.

[0089] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0090] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0091] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0092] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0093] Those skilled in the art will understand that all or part of the steps of the methods implementing the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0094] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A vehicle intelligent adjustment method, characterized in that, Includes the following steps: Identify the driver's identity information; If it is determined from the identity information that the driver is driving the current vehicle for the first time, then the driver's biometric parameters and absolute driving height are collected, wherein the absolute driving height is the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest position; Target adjustment parameters for multiple target mechanisms of the vehicle are determined based on the biological parameters and the absolute driving height, and the multiple target mechanisms are adjusted based on the target adjustment parameters. The multiple target mechanisms include multiple seats, rearview mirrors, electronically adjustable columns, and head-up displays. The target adjustment parameters include target seat posture, target head-up display angle, target steering wheel angle, and target rearview mirror angle. The seat is equipped with at least one lumbar airbag, a neck airbag, and a shoulder airbag. The target seat posture includes at least one of the following: height, fore-aft position, thigh support angle, lumbar airbag inflation degree, neck airbag inflation angle, and shoulder airbag support angle. When adjusting the seat according to the target adjustment parameters, the seat adjustment system also integrates a leg pressure sensor to automatically adjust the seat lifting motor according to the driver's gender and weight. When the driver is female, if the support force detected by the leg pressure sensor exceeds 80 Newtons, the seat lifting will stop until the support force drops to 80 Newtons or reaches the physical limit position. If the driver is male, the stopping condition is that the support force exceeds 100 Newtons. During seat adjustment, the system also uses a camera to identify the driver's shoulder position and adjusts the inflation of the shoulder airbag accordingly to ensure that male and female drivers receive 60 Newtons and 40 Newtons of support respectively. At the same time, the system will also fine-tune the position of the lumbar support until the lumbar support reaches the target value of 50 Newtons. Finally, the system will also adjust the inflation of the neck airbag according to the driver's gender and needs to ensure that the neck receives the set support.

2. The vehicle intelligent adjustment method according to claim 1, characterized in that, Also includes: If it is determined from the identity information that the driver is not driving the current vehicle for the first time, then the driver's historical data is obtained, and the target adjustment parameters of the multiple target mechanisms are determined based on the historical data.

3. The vehicle intelligent adjustment method according to claim 1, characterized in that, The determination of target adjustment parameters for multiple target mechanisms of the vehicle based on the biological parameters and the absolute driving height includes: Identify sex and weight from the biometric parameters; A table showing the correspondence between weight, absolute driving height, and adjustment parameters based on the stated gender is provided. The target adjustment parameters of the multiple target mechanisms are determined based on the correspondence table.

4. The vehicle intelligent adjustment method according to claim 1, characterized in that, Before determining the target adjustment parameters of the multiple target mechanisms of the vehicle based on the biological parameters and the absolute driving height, the method further includes: Obtain a first threshold and a second threshold for the absolute driving height, wherein the second threshold is greater than the first threshold; If the driver's absolute driving height is less than the first threshold, then the absolute driving height is the first threshold. If the driver's absolute driving height is greater than the second threshold, then the absolute driving height is the second threshold.

5. A vehicle intelligent adjustment device, characterized in that, For implementing the method as described in any one of claims 1-4, comprising: The identification module is used to identify the driver's identity information; The acquisition module, if it is determined from the identity information that the driver is driving the current vehicle for the first time, is used to collect the driver's biometric parameters and absolute driving height, wherein the absolute driving height is the height of the driver's eyes from the vehicle floor when the seat height is adjusted to the lowest position; The determination module is used to determine target adjustment parameters of multiple target mechanisms of the vehicle based on the biological parameters and the absolute driving height, or to determine the target adjustment parameters of the multiple target mechanisms based on the driver's historical data, and to adjust the multiple target mechanisms according to the target adjustment parameters.

6. A vehicle, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the vehicle intelligent adjustment method according to any one of claims 1-4.

7. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When the computer program or instructions are executed, they implement the vehicle intelligent adjustment method according to any one of claims 1-4.

8. A computer program product, comprising a computer program or instructions, characterized in that, When the computer program or instructions are executed, they implement the vehicle intelligent adjustment method according to any one of claims 1-4.

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