Vehicle driving parameter adjusting method and device, vehicle and storage medium

Abstract

The invention relates to the technical field of vehicle intelligent cabins, and discloses a vehicle driving parameter adjusting method and device, a vehicle and a storage medium. The method comprises the following steps: receiving a driving parameter adjustment request, and obtaining driving posture feature data, gender feature data and age feature data of a driver; determining a driving ability portrait grade of the driver according to the driving posture feature data, the gender feature data and the age feature data; and according to a preset grade parameter association table, determining driving setting parameters associated with the driving ability portrait grade, and according to the driving setting parameters, performing driving parameter setting on a preset adjustment assembly of the vehicle. Automatic adjustment and accurate adjustment can be achieved, the trouble of repeated manual adjustment is avoided, great convenience is brought to a driver, the intelligent degree of the cabin is improved, and the driving experience of the driver is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle intelligent cockpits, and particularly to a method and device for adjusting vehicle driving parameters, a vehicle, and a storage medium. Background Art

[0002] With the improvement of the quality of life, more and more people choose to travel by car, and it is inevitable that multiple drivers drive the same car at different times. Different drivers have different ages, genders, and driving habits, resulting in different driving setting requirements for the vehicle's seat, rearview mirror, central control screen, etc. Each time the driver is changed, it is necessary to adjust the driving setting parameters. The adjustment methods used in the prior art are mostly manual adjustments by the driver. However, manual adjustment needs to be carried out one by one, cannot achieve interactive adjustment, and it is difficult to achieve the optimal adjustment effect, bringing a lot of inconvenience to the driver and affecting driving comfort. For example, it is difficult to adjust various driving setting parameters such as the angle of the rearview mirror, the contrast of the display information on the central control screen, the font size, the navigation broadcast volume, and the navigation broadcast details in one go. Summary of the Invention

[0003] Based on this, it is necessary to provide a method and device for adjusting vehicle driving parameters, a vehicle, and a storage medium for the above technical problems to solve the problem of inconvenient adjustment of vehicle driving setting parameters in the prior art.

[0004] A method for adjusting vehicle driving parameters includes:

[0005] Receiving a driving parameter adjustment request, and obtaining the driving posture feature data, gender feature data, and age feature data of the driver;

[0006] Determining the driving ability portrait level of the driver according to the driving posture feature data, the gender feature data, and the age feature data;

[0007] Determining the driving setting parameters associated with the driving ability portrait level according to a preset level parameter association table, and performing driving parameter setting on the preset adjustment components of the vehicle according to the driving setting parameters.

[0008] A device for adjusting vehicle driving parameters includes:

[0009] A feature data acquisition module, configured to receive a driving parameter adjustment request and obtain the driving posture feature data, gender feature data, and age feature data of the driver;

[0010] A driving level determination module, configured to determine the driving ability portrait level of the driver according to the driving posture feature data, the gender feature data, and the age feature data;

[0011] A driving parameter setting module is configured to determine driving setting parameters associated with the driving ability portrait level according to a preset level parameter association table, and perform driving parameter setting on a preset adjustment component of the vehicle according to the driving setting parameters.

[0012] A vehicle includes a controller configured to execute the above-mentioned vehicle driving parameter adjustment method.

[0013] A computer-readable storage medium stores computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to execute the vehicle driving parameter adjustment method as described above.

[0014] In the above-mentioned vehicle driving parameter adjustment method, device, vehicle and storage medium, the method evaluates the driving ability portrait level of the driver according to the driving posture feature data, gender feature data and age feature data of the driver, so as to adaptively generate the driving setting parameters with the best matching degree with the driver, realizing the automatic adjustment of the driving setting parameters. The present invention can achieve automatic adjustment and precise adjustment, avoiding the trouble of multiple manual adjustments, bringing great convenience to the driver, improving the intelligent level of the cockpit, and enhancing the driving experience of the driver. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings according to these drawings without creative efforts.

[0016] Figure 1 is a flowchart of a vehicle driving parameter adjustment method according to an embodiment of the present invention;

[0017] Figure 2 is a structural diagram of a vehicle driving parameter adjustment device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0019] In one embodiment, as Figure 1 shown, a vehicle driving parameter adjustment method is provided, including the following steps S10 - S30:

[0020] S10. Receive a driving parameter adjustment request, and obtain the driving posture characteristic data, gender characteristic data, and age characteristic data of the driver.

[0021] Understandably, the driving parameter adjustment request refers to information used to request an adaptive adjustment of the setting parameters of adjustable components in the vehicle to meet the usage requirements of the driver. For example, adjusting parameters such as the angle of the rearview mirror in the vehicle, the font display size of the central control display screen, and the playback volume of the speaker, etc., to meet the applicable requirements of the driver for the rearview mirror, central control display screen, and speaker. The adjustment object of the driving parameter adjustment request may only include one adjustable component in the vehicle, or may include multiple adjustable components at the same time, which is determined by whether it meets the usage requirements of the driver. The driving posture characteristic data, gender characteristic data, and age characteristic data refer to the analysis results of the driving posture, gender, and age corresponding to the current driver obtained after visual analysis of the real-time collected driver images. Different drivers correspond to different driving posture characteristic data, gender characteristic data, and age characteristic data. The real-time collected driver images can be images that only include the driver's body parts (such as the driver's face image), or can be images that include both the driver's body parts and vehicle cockpit components (such as an image composed of the driver's hand and the vehicle's steering wheel, that is, an image of the driver holding the steering wheel). By performing visual analysis on multiple driver images of the current driver, the driving posture characteristic data, gender characteristic data, and age characteristic data of the current driver can be obtained.

[0022] In this embodiment, the central control display screen of the vehicle is a touch screen. When the user needs to adjust the adjustable components in the vehicle, the user clicks the adaptive adjustment button on the central control display screen to activate the adaptive adjustment function and send a driving parameter adjustment request to the vehicle controller. After receiving the driving parameter adjustment request, the controller real-time obtains multiple driver images of the current driver collected by the on-vehicle camera, and performs visual analysis on all driver images through the calculation unit of the Internet Data Center (IDC) to obtain the driving posture characteristic data, gender characteristic data, and age characteristic data of the current driver.

[0023] S20. Determine the driving ability portrait level of the driver according to the driving posture characteristic data, the gender characteristic data, and the age characteristic data.

[0024] Understandably, the driving abilities of different drivers vary. The driving ability portrait is used to reflect the evaluation results of the current driver's driving ability. According to needs, the driving ability portrait can be divided into different levels, such as the primary driving ability level, the intermediate driving ability level, the advanced driving ability level, and the proficient driving ability level. Drivers with different driving postures, genders, and ages exhibit different driving abilities. Therefore, driving posture, gender, and age can be used as characteristic indicators for evaluating a driver's driving ability. That is, the IDC calculation unit performs secondary calculations and comprehensive analyses on different driving posture characteristic data, gender characteristic data, and age characteristic data to obtain the corresponding driving ability portrait level. For example, if the current driver is a female driver aged 20 - 25, and in terms of driving posture characteristics, the seat backrest is more forward and the hands are closer to the steering wheel, then the driving ability portrait level of the current driver can be determined as the primary driving ability level.

[0025] S30. Determine the driving setting parameters associated with the driving ability portrait level according to the preset level parameter association table, and perform driving parameter settings on the preset adjustment components of the vehicle according to the driving setting parameters.

[0026] Understandably, drivers with different driving ability portrait levels have different adjustment requirements for the adjustable components of the vehicle, and the driving setting parameters are also different. The preset level parameter association table is a data table preset to indicate the association relationship between the driving ability portrait level and the driving setting parameters. One driving ability portrait level can be associated with the setting parameters of multiple vehicle adjustable components at the same time. The driving setting parameters refer to the parameter values used to perform corresponding adjustments on each vehicle adjustable component according to the driving ability portrait level. The driving setting parameters of the same vehicle adjustable component under different driving ability portrait levels are also different. For example, in the preset level parameter association table, the driving setting parameters associated with the primary driving ability level are enhancement parameters (such as setting the font size of the central control display screen to a large font), and the driving setting parameters associated with the proficient driving ability level are standard parameters. The preset adjustment components refer to the vehicle adjustable components preset to play an auxiliary role in the driving scenario, such as the rearview mirror, the central control display screen, and the speaker.

[0027] In this embodiment, if the driving ability portrait level of the current driver is the proficient driving ability level, then according to the preset level parameter association table, the driving setting parameters associated with the proficient driving ability level are determined to include the standard central control adjustment parameters. The standard central control adjustment parameters are used to adjust the display parameters of the central control display screen to the standard parameters, and the standard parameters are the default parameter values set when the vehicle leaves the factory. Set the font size of the central control display screen to the standard according to the standard central control adjustment parameters, and set the volume of the in-vehicle voice playback to the standard.

[0028] In the above embodiments, according to the driving posture characteristic data, gender characteristic data, and age characteristic data of the driver, the driving ability portrait level of the driver is evaluated, so as to adaptively generate the driving setting parameters with the optimal matching degree with the driver, and realize the automatic adjustment of the driving setting parameters. The present invention can achieve automatic adjustment and precise adjustment, avoid the trouble of multiple manual adjustments, bring great convenience to the driver, improve the intelligent level of the cockpit, and enhance the driving experience of the driver.

[0029] In one embodiment, in step S10, that is, the obtaining of the driving posture characteristic data, gender characteristic data, and age characteristic data of the driver includes:

[0030] S101. Collect a first monitoring image corresponding to a first monitoring area through a first vehicle-mounted camera, and collect a second monitoring image corresponding to a second monitoring area through a second vehicle-mounted camera; there are non-overlapping areas in the first monitoring area and the second monitoring area; the first monitoring area and the second monitoring area include the body parts of the driver or / and the preset areas on the vehicle;

[0031] S102. Perform visual analysis and processing on the first monitoring image and the second monitoring image to obtain the driving posture characteristic data, the gender characteristic data, and the age characteristic data.

[0032] Understandably, both the first in-vehicle camera and the second in-vehicle camera are built-in cameras of the vehicle. If the shooting angles of the cameras in the vehicle cockpit are different, the monitoring areas will be different. Among them, the first in-vehicle camera refers to the camera used to collect images of the driver's body parts and vehicle cockpit components, and the second in-vehicle camera refers to the camera used to feature the images of the driver's body parts. The image monitoring area of the first in-vehicle camera is larger than that of the second in-vehicle camera, and the image resolution of the second in-vehicle camera is higher than that of the first in-vehicle camera. The first monitoring area is the maximum range where the first in-vehicle camera can collect images. The first monitoring area includes the driver's body parts interacting with the vehicle cockpit components (such as the shoulders interacting with the seat backrest and the hands interacting with the steering wheel) and the preset areas on the vehicle (such as the seat backrest and steering wheel assembly areas in the vehicle cockpit). The first monitoring image is the image collected by the first in-vehicle camera for some sub-areas in the first monitoring area. The second monitoring area is the maximum range where the second in-vehicle camera can collect images. The second monitoring area includes the driver's body parts reflecting the driver's own characteristic states (such as the driver's face and head). The second monitoring image is the image collected by the second in-vehicle camera for some sub-areas in the second monitoring area. Both the first monitoring area and the second monitoring area include the driver's head. Therefore, there are overlapping sub-areas between the first monitoring area and the second monitoring area. At the same time, there are non-overlapping areas in the first monitoring area and the second monitoring area, that is, there are non-coincident sub-areas in the first monitoring area and the second monitoring area. For example, the first monitoring area includes the steering wheel assembly area in the vehicle cockpit while the second monitoring area does not include the steering wheel assembly area. Visual analysis and processing refers to the technology that enables a machine to simulate human vision through the visual information of digital images, so as to achieve the purposes of understanding, recognizing, classifying, tracking, and reconstructing the people and objects in the images. Visual analysis and processing involves multiple fields such as image processing, pattern recognition, machine learning, and deep learning.

[0033] In one embodiment, various types of on-vehicle cameras are installed in a vehicle. Different types of on-vehicle cameras have different functions. For example, there are an Occupant Monitor System (OMS) camera and a Driver Monitor System (DMS) camera. Among them, the OMS camera is used to monitor the perception data of the passengers in the vehicle cockpit to further improve safety. The OMS camera is set at the position of the front-row rearview mirror. By applying machine learning algorithms such as face recognition, motion capture, and live detection, the passengers can be sensed. In addition, a millimeter-wave radar can be configured at the top of the B-pillar in the vehicle cockpit. When the vehicle is turned off, all doors are closed and the vehicle is locked, the millimeter-wave radar will start to detect. If it cyclically detects the rear row of the cockpit and there are no vital signs in the rear row, the millimeter-wave radar will stop working. The DMS camera is used to monitor the fatigue state and dangerous driving behaviors of the driver around the clock during the driving process of the driver. The DMS camera is set on the ceiling directly above the driver or on the A-pillar of the vehicle cockpit, and it collects the images of the driver in real time for analysis. After detecting behaviors such as the driver being fatigued, yawning, squinting, smoking, and answering or making a handheld phone call, voice or light prompts are given in time to warn the driver and correct the wrong driving behaviors. The OMS camera and the DMS camera are cameras with specific functions. However, the functions of the OMS camera and the DMS camera are single, and their application ranges in the driving scenario are limited, and they cannot effectively improve the intelligence level of the cockpit. Based on realizing their own specific functions, the OMS camera and the DMS camera in the present invention can also collect images of the driver and perform visual analysis using a trained neural network model to obtain various features of the driver, such as face recognition, age estimation, gender estimation, emotion estimation, and driving posture position modeling, and realize the adaptive adjustment function of vehicle driving parameters based on the features of the driver.

[0034] In this embodiment, the first on-vehicle camera is the OMS camera, and the second on-vehicle camera is the DMS camera. Multiple images including the body parts of the driver and the preset areas on the vehicle are collected in the first monitoring area through the OMS camera as the first monitoring images, and multiple images including the body parts of the driver are collected in the second monitoring area through the DMS camera as the second monitoring images. All the first monitoring images and the second monitoring images are input into a pre-trained neural network model by the IDC calculation unit for visual analysis and processing to obtain the driving posture feature data, gender feature data, and age feature data of the current driver, and realize the age estimation, gender estimation, and driving posture position modeling of the current driver.

[0035] In this embodiment, a binocular vision system is composed of two vehicle-mounted cameras in the vehicle cockpit, which collect images from two different monitoring areas, avoiding areas where images cannot be collected, and ensuring the coverage breadth and credibility of the images. In this embodiment, comprehensive visual analysis and processing are performed on the images collected from different monitoring areas to obtain the driving posture feature data, gender feature data, and age feature data of the current driver, ensuring the accuracy of the feature data.

[0036] In one embodiment, the first monitoring area includes the steering wheel area, the seat backrest area, and the driver's hand area and shoulder area; the second monitoring area includes the driver's face area and head area.

[0037] In step S102, that is, performing visual analysis and processing on the first monitoring image and the second monitoring image to obtain the driving posture feature data, the gender feature data, and the age feature data, includes:

[0038] S1021. From the first monitoring image, determine the steering wheel positioning point information corresponding to the steering wheel area and the backrest positioning point information corresponding to the seat backrest area according to the preset positioning rules.

[0039] S1022. Extract the hand features corresponding to the hand area and the shoulder features corresponding to the shoulder area from the first monitoring image, and extract the face features corresponding to the face area and the head features corresponding to the head area from the second monitoring image.

[0040] S1023. Perform visual analysis and processing on the steering wheel positioning point information, the backrest positioning point information, the head features, the shoulder features, and the hand features to obtain the driving posture feature data.

[0041] S1024. Perform visual analysis and processing on the face features and the head features to obtain the gender feature data and the age feature data.

[0042] Understandably, when a driver is driving a vehicle, their body is between the seat backrest and the steering wheel. The position relationship between the seat backrest, specific body parts of the driver (such as the shoulders and hands), and the steering wheel can reflect the driver's driving posture. To determine the position relationship between the driver and the seat backrest and the steering wheel, it is necessary to determine the positioning reference points in the seat backrest area and the steering wheel area in the monitoring image. The preset positioning rule is a rule preset for determining the image positioning reference points of the steering wheel assembly area and the seat backrest assembly area of the vehicle. The steering wheel positioning point information refers to the image positioning reference point of the steering wheel assembly area, and the backrest positioning point information refers to the image positioning reference point of the seat backrest assembly area. For example, the center of a circular steering wheel is used as the steering wheel positioning point, and the midpoint of the dividing line between the seat backrest and the seat headrest is used as the backrest positioning point. The hand feature refers to the position relationship between the driver's hand and the steering wheel, and the shoulder feature refers to the position relationship between the driver's shoulder and the seat backrest. When a reference coordinate system is established with the steering wheel positioning point and the backrest positioning point as the origin respectively, the position coordinates of the driver's hand can be used as the hand feature, and the position coordinates of the driver's shoulder can be used as the shoulder feature. The face feature refers to the driver's facial biometric features (such as the distribution of facial features), and the head feature refers to the driver's head biometric features (such as the shape of the head), as well as the position relationship between the head and the shoulders. The facial biometric features and the head biometric features can reflect gender and age to a certain extent.

[0043] In one embodiment, due to the different shooting angles of each monitoring image, by visually analyzing and processing the steering wheel positioning point information, backrest positioning point information, head feature, shoulder feature, and hand feature of each monitoring image through a pre-trained feature extraction neural network model, the driving posture feature data of the driver can be constructed in three-dimensional space. At the same time, by visually analyzing and processing the face feature and head feature of each monitoring image through a pre-trained feature extraction neural network model, the gender feature data and age feature data of the current driver can be determined.

[0044] In another embodiment, the face feature also includes the driver's facial expression. Considering that the driving ability of the same driver is also different under different micro-expressions, the driving ability of the driver is lower under tense, fatigued, and angry expressions, and higher under relaxed and focused expressions. Based on a pre-trained micro-expression recognition model, by performing micro-expression analysis on the face image, the micro-expression feature data of the current driver can be obtained. Further, according to the driving posture feature data, gender feature data, age feature data, and micro-expression feature data, the driving ability portrait level of the current driver is determined.

[0045] In this embodiment, the steering wheel positioning point information and the backrest positioning point information are determined from the first monitoring image. At the same time, different features are extracted from the first monitoring image and the second monitoring image respectively. Based on the visual analysis and processing of these features, driving posture feature data, gender feature data, and age feature data are obtained, which helps to improve the efficiency of visual analysis and processing and ensures the accuracy of the feature data.

[0046] In one embodiment, in step S10, that is, obtaining the driving posture feature data of the driver includes:

[0047] S103. Send a driving posture adjustment instruction to the driver in a preset prompt manner, and monitor whether a driving posture adjustment signal is received;

[0048] S104. If a driving posture adjustment signal is received within the preset adjustment duration, after adjusting the preset posture adjustment component according to the driving posture adjustment signal, obtain the driving posture feature data of the driver;

[0049] S105. If a driving posture adjustment signal is not received after the preset adjustment duration, confirm that the driving posture adjustment is completed, and obtain the driving posture feature data of the driver.

[0050] Understandably, before obtaining the driving posture feature data of the driver, it is necessary to first determine that the driver has adjusted the driving posture. The preset prompt manner is a pre-set information sending manner for prompting the driver to adjust the driving posture, including voice prompt manner, text prompt manner, light prompt manner, etc. The driving posture adjustment instruction is information for instructing the driver to adjust the driving posture, such as the driving posture adjustment voice instruction of "Please adjust the driving posture within 5 seconds". The driving posture adjustment signal refers to the signal information corresponding to the operation of adjusting the preset posture adjustment component. The preset posture adjustment component refers to the adjustable components of the vehicle cockpit associated with the driving posture, including the seat component and the steering wheel component. The preset adjustment duration is a pre-set duration threshold for determining whether the driving posture adjustment is completed. The default value can be set to 5 seconds, or it can be adjusted as needed.

[0051] In one embodiment, a driving posture adjustment instruction is sent to the driver in a voice prompt manner, and it is monitored whether a driving posture adjustment signal is received within the preset adjustment duration. If a driving posture adjustment signal is received within the preset adjustment duration, it indicates that the driving posture adjustment has not been completed. At this time, the operation of adjusting the preset posture adjustment component according to the driving posture adjustment signal is performed. If a driving posture adjustment signal is not received after the preset adjustment duration, confirm that the driving posture adjustment has been completed, and obtain the driving posture feature data of the driver after confirming that the driving posture adjustment is completed.

[0052] In this embodiment, it is determined whether the driving posture adjustment is completed by whether a driving posture adjustment signal is received within a preset adjustment duration, and the driving posture feature data of the driver is obtained on the premise that the driving posture adjustment is completed, which ensures the validity of the driving posture feature data. Based on the driving posture feature data, the adjustment can be completed in one step, avoiding the situation of adjusting the driving setting parameters multiple times.

[0053] In one embodiment, in step S30, that is, before determining the driving setting parameters associated with the driving ability portrait level according to the preset level parameter association table, it includes:

[0054] S301. Obtain a sample data set, where the sample data set includes multiple groups of driver sample data; each group of driver sample data includes driving posture feature sample data, gender feature sample data, age feature sample data, and driving setting sample parameters corresponding to the same driver;

[0055] S302. Determine the driving ability sample level corresponding to each group of the driver sample data according to the preset level evaluation rule;

[0056] S303. Generate level setting association data according to the driving ability sample level and the driving setting sample parameters corresponding to the same group of the driver sample data;

[0057] S304. Generate the preset level parameter association table according to all the level setting association data.

[0058] It can be understood that the sample data set can be a data set obtained by experimental observation of different drivers, or historical data corresponding to different drivers obtained from a database. The sample data set contains multiple groups of driver sample data, and each group of driver sample data includes observation data on the driving posture, gender, age, and driving setting parameters of the same driver. The preset level evaluation rule is a rule preset for evaluating the correlation degree between the driving posture, gender, age, and driving ability sample level of the driver. The level setting association data is data indicating the correlation relationship between the driving ability sample level and the driving setting sample parameters of the same driver.

[0059] In one embodiment, the sample data set includes multiple groups of driver sample data, each group of driver sample data corresponds to a driving ability sample level, and each group of driver sample data has corresponding driving setting sample parameters. By establishing the correlation relationship between the driving ability sample level and the driving setting sample parameters in each group of driver sample data, a group of level setting association data is generated, and a data table is formed according to the level setting association data corresponding to all driver sample data, and then the preset level parameter association table can be obtained.

[0060] In this embodiment, a preset level parameter association table is established in advance through the analysis of the sample data set, which ensures the rationality and usability of the preset level parameter association table and improves the adaptability of the driving parameter adjustment to the current driver.

[0061] In one embodiment, in step S10, that is, before receiving the driving parameter adjustment request, the following steps are further included:

[0062] S106. When it is monitored that the vehicle-mounted device account of the driver is logged in, obtain the vehicle status information;

[0063] S107. When the vehicle status information meets the preset status condition, obtain the driver identity information and determine whether there is a driving setting memory parameter associated with the driver identity information;

[0064] S108. If there is a driving setting memory parameter associated with the driver identity information, perform parameter setting on the preset adjustment components of the vehicle according to the driving setting memory parameter, complete the driving setting adjustment, and monitor whether the preset adjustment button is triggered;

[0065] S109. If it is monitored that the preset adjustment button is triggered, generate a driving parameter adjustment request.

[0066] It can be understood that the vehicle status information refers to the running status of the vehicle. The preset status condition is a condition preset for determining whether the vehicle status information meets the requirement for adjusting the driving setting parameters. For example, when the vehicle status information indicates that the vehicle is in the idle state, the vehicle gear is in the P gear, and the vehicle-mounted device is in the account login state, it is determined that the vehicle status information meets the preset status condition. The driver identity information refers to the driver identity corresponding to the vehicle-mounted device login account. When the driver logs in to the vehicle-mounted device, the driver can log in using the account, verification code, or face recognition. After the vehicle-mounted device login is successful, the driver identity information is determined. The driving setting memory parameter is a parameter corresponding to the driver identity information for setting the parameters of the adjustable components in the vehicle to memory values, and the driving setting memory parameter can be stored through the driver's seat memory function. The preset adjustment button is a pre-set activation button for triggering the adaptive adjustment function, and the preset adjustment button can be a physical button or a virtual button on the central control display screen.

[0067] In one embodiment, when the vehicle status information indicates that the vehicle is in an idle state, the vehicle gear is in the P gear, and the vehicle head unit is in an account login state, it is determined that the vehicle status information meets the preset status conditions. The driver identity information is obtained, and it is determined whether there are driving setting memory parameters associated with the driver identity information. When there are driving setting memory parameters associated with the driver identity information, the parameter settings of the vehicle preset adjustment components are performed according to the driving setting memory parameters to complete the driving setting adjustment. Considering that the driving habits and driving abilities of the driver may change as the number of driving times increases, the settings of the driving setting memory parameters may also become inapplicable. At this time, if the driver is not satisfied with the settings of the driving setting memory parameters, the driver can trigger the preset adjustment button through a click operation on the central control display screen and generate a driving parameter adjustment request. When there are no driving setting memory parameters associated with the driver identity information, it is monitored whether the preset adjustment button is triggered, so that a driving parameter adjustment request is generated when the preset adjustment button is triggered.

[0068] In this embodiment, on the premise that the vehicle status information meets the preset status conditions, if there are driving setting memory parameters associated with the driver identity information, the driving parameter settings are directly completed according to the driving setting memory parameters, realizing the reuse of the driving setting parameters of existing drivers. In addition, automatic adjustment is performed when it is detected that the preset adjustment button is triggered, realizing the adaptive adjustment of the driving setting parameters of new drivers. The driver only needs to activate the adaptive driving setting adjustment function with one key, which brings great convenience to the driver.

[0069] In one embodiment, in step S30, that is, after performing the driving parameter settings on the vehicle preset adjustment components according to the driving setting parameters, it further includes:

[0070] S305. During a preset monitoring duration, monitor whether a post-adjustment signal for the driver to perform post-adjustment on the vehicle preset adjustment components is received;

[0071] S306. If the post-adjustment signal is not received during the preset monitoring duration, set the driving setting parameters as the driving setting memory parameters associated with the driver identity information of the driver;

[0072] S307. If the post-adjustment signal is received during the preset monitoring duration, update the driving setting parameters according to the post-adjustment signal, and set the updated driving setting parameters as the driving setting memory parameters associated with the driver identity information of the driver.

[0073] Understandably, after automatically setting the driving parameters of the vehicle's preset adjustment components according to the driving setting parameters, the driver can fine-tune the driving parameters of the vehicle's preset adjustment components as needed. The preset monitoring duration is a preset duration threshold for determining whether there is a subsequent adjustment. For example, the default value of the preset monitoring duration is set to 5 seconds. Subsequent adjustment refers to the subsequent fine-tuning steps performed after setting the driving parameters of the vehicle's preset adjustment components in response to a driving parameter adjustment request. The subsequent adjustment signal is a command signal for instructing a subsequent adjustment of the vehicle's preset adjustment components.

[0074] In one embodiment, after setting the driving parameters of the vehicle's preset adjustment components according to the driving setting parameters in response to a driving parameter adjustment request, an option of "whether to continue subsequent adjustment" is displayed on the central control display screen. If the driver selects "No" within the preset monitoring duration or does not select within the preset monitoring duration, the subsequent adjustment signal is not triggered. At this time, the controller does not receive the subsequent adjustment signal, and the driving setting parameters are set to the driving setting memory parameters associated with the current driver's driver identity information. If the driver selects "Yes" within the preset monitoring duration, the subsequent adjustment signal is triggered, that is, the controller receives the subsequent adjustment signal, and the driving setting parameters are updated according to the subsequent adjustment signal, and the updated driving setting parameters are set to the driving setting memory parameters associated with the driver's driver identity information.

[0075] In this embodiment, when the subsequent adjustment signal is not received, the current driving setting parameters are directly set to the driving setting memory parameters, and when the subsequent adjustment signal is received, the updated driving setting parameters are set to the driving setting memory parameters, improving the applicability of the driving setting memory parameters.

[0076] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0077] In one embodiment, a vehicle driving parameter adjustment device is provided, and the vehicle driving parameter adjustment device corresponds one-to-one to the vehicle driving parameter adjustment method in the above embodiment. As Figure 2 shown, the vehicle driving parameter adjustment device includes a feature data acquisition module 10, a driving level determination module 20, and a driving parameter setting module 30. The detailed description of each functional module is as follows:

[0078] The feature data acquisition module 10 is configured to receive a driving parameter adjustment request and acquire the driver's driving posture feature data, gender feature data, and age feature data;

[0079] A driving level determination module 20, configured to determine a driving ability portrait level of the driver according to the driving posture feature data, the gender feature data, and the age feature data;

[0080] A driving parameter setting module 30, configured to determine driving setting parameters associated with the driving ability portrait level according to a preset level parameter association table, and perform driving parameter setting on a preset adjustment component of the vehicle according to the driving setting parameters.

[0081] In one embodiment, the feature data acquisition module 10 includes:

[0082] An image acquisition unit, configured to acquire a first monitoring image corresponding to a first monitoring area through a first vehicle-mounted camera, and acquire a second monitoring image corresponding to a second monitoring area through a second vehicle-mounted camera; there are non-overlapping areas in the first monitoring area and the first monitoring area; the first monitoring area and the second monitoring area include body parts of the driver or / and preset areas on the vehicle;

[0083] A visual analysis unit, configured to perform visual analysis processing on the first monitoring image and the second monitoring image to obtain the driving posture feature data, the gender feature data, and the age feature data.

[0084] In one embodiment, the feature data acquisition module 10 further includes:

[0085] A positioning point information determination unit, configured to determine steering wheel positioning point information corresponding to the steering wheel area and backrest positioning point information corresponding to the seat backrest area from the first monitoring image according to a preset positioning rule;

[0086] A body feature extraction unit, configured to extract hand features corresponding to the hand area and shoulder features corresponding to the shoulder area from the first monitoring image, and extract face features corresponding to the face area and head features corresponding to the head area from the second monitoring image;

[0087] A posture feature data determination unit, configured to perform visual analysis processing on the steering wheel positioning point information, the backrest positioning point information, the head features, the shoulder features, and the hand features to obtain the driving posture feature data;

[0088] A gender and age feature data determination unit, configured to perform visual analysis processing on the face features and the head features to obtain the gender feature data and the age feature data.

[0089] In one embodiment, the feature data acquisition module 10 further includes:

[0090] A driving posture adjustment instruction sending unit, configured to send a driving posture adjustment instruction to the driver through a preset prompting method, and monitor whether a driving posture adjustment signal is received;

[0091] A driving posture adjustment unit, configured to, if a driving posture adjustment signal is received within a preset adjustment duration, after adjusting a preset posture adjustment component according to the driving posture adjustment signal, obtain driving posture feature data of the driver;

[0092] A driving posture adjustment completion determination unit, configured to, if a driving posture adjustment signal is not received after the preset adjustment duration, confirm that the driving posture adjustment is completed, and obtain driving posture feature data of the driver.

[0093] In one embodiment, the driving parameter setting module 30 includes:

[0094] A sample data set acquisition unit, configured to acquire a sample data set, where the sample data set includes multiple groups of driver sample data; each group of driver sample data includes driving posture feature sample data, gender feature sample data, age feature sample data, and driving setting sample parameters corresponding to the same driver;

[0095] A driving ability sample level determination unit, configured to determine a driving ability sample level corresponding to each group of the driver sample data according to a preset level evaluation rule;

[0096] A level setting association data generation unit, configured to generate level setting association data according to the driving ability sample level and the driving setting sample parameters corresponding to the same group of the driver sample data;

[0097] A preset level parameter association table generation unit, configured to generate the preset level parameter association table according to all the level setting association data.

[0098] In one embodiment, the feature data acquisition module 10 includes:

[0099] A status information acquisition unit, configured to acquire vehicle status information when it is monitored that the driver's in-vehicle account is logged in;

[0100] A memory parameter judgment unit, configured to, when the vehicle status information meets a preset status condition, acquire driver identity information, and judge whether there is a driving setting memory parameter associated with the driver identity information;

[0101] A memory parameter setting unit, configured to, if there is a driving setting memory parameter associated with the driver identity information, perform parameter setting on a vehicle preset adjustment component according to the driving setting memory parameter, complete driving setting adjustment, and monitor whether a preset adjustment button is triggered;

[0102] A driving parameter adjustment request generation unit, configured to generate a driving parameter adjustment request if it is detected that the preset adjustment button is triggered.

[0103] In one embodiment, the driving parameter setting module 30 further includes:

[0104] A rear adjustment signal monitoring unit, configured to monitor whether a rear adjustment signal for the driver to perform a rear adjustment on the preset adjustment component of the vehicle is received within a preset monitoring duration;

[0105] A first memory parameter setting unit, configured to set the driving setting parameter to a driving setting memory parameter associated with the driver's driver identity information if the rear adjustment signal is not received within the preset monitoring duration;

[0106] A second memory parameter setting unit, configured to update the driving setting parameter according to the rear adjustment signal and set the updated driving setting parameter to a driving setting memory parameter associated with the driver's driver identity information if the rear adjustment signal is received within the preset monitoring duration.

[0107] For the specific limitations on the vehicle driving parameter adjustment device, reference may be made to the limitations on the vehicle driving parameter adjustment method in the foregoing text, which will not be elaborated herein. Each module in the above vehicle driving parameter adjustment device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in or independent of the processor of the vehicle driving parameter adjustment device in the form of hardware, or stored in the memory of the vehicle driving parameter adjustment device in the form of software, so that the processor can call and execute the operations corresponding to the above respective modules.

[0108] A vehicle includes a controller, and the controller is configured to execute the above vehicle driving parameter adjustment method. For the specific limitations on the controller, reference may be made to the limitations on the vehicle driving parameter adjustment method in the foregoing text, which will not be elaborated herein. Each module in the above controller can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in or independent of the processor in the controller in the form of hardware, or stored in the memory in the controller in the form of software, so that the processor can call and execute the operations corresponding to the above respective modules.

[0109] In one embodiment, the vehicle further includes a first on-vehicle camera, a second on-vehicle camera, a display interaction control device, a communication harness, etc. Among them, the first on-vehicle camera and the second on-vehicle camera are used to collect images of the driver in the vehicle cockpit.

[0110] In one embodiment, one or more computer-readable storage media storing computer-readable instructions are provided. The readable storage media provided in this embodiment include non-volatile readable storage media and volatile readable storage media. Computer-readable instructions are stored on the readable storage media. When the computer-readable instructions are executed by one or more processors, the above vehicle driving parameter adjustment method is implemented.

[0111] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a non-volatile readable storage media or a volatile readable storage media. When the computer-readable instructions are executed, they can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0112] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In practical applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above.

[0113] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for adjusting vehicle driving parameters, characterized in that Including: Receiving a driving parameter adjustment request, and obtaining the driver's driving posture characteristic data, gender characteristic data, and age characteristic data; Determining the driving ability portrait level of the driver according to the driving posture characteristic data, the gender characteristic data, and the age characteristic data; Determining the driving setting parameters associated with the driving ability portrait level according to a preset level parameter association table, and setting the driving parameters for the preset adjustment components of the vehicle according to the driving setting parameters.

2. The vehicle driving parameter adjustment method according to claim 1, wherein The obtaining of the driver's driving posture characteristic data, gender characteristic data, and age characteristic data includes: Collecting a first monitoring image corresponding to a first monitoring area through a first vehicle-mounted camera, and collecting a second monitoring image corresponding to a second monitoring area through a second vehicle-mounted camera; there are non-overlapping areas in the first monitoring area and the second monitoring area; the first monitoring area and the second monitoring area include the driver's body parts or / and preset areas on the vehicle; Performing visual analysis processing on the first monitoring image and the second monitoring image to obtain the driving posture characteristic data, the gender characteristic data, and the age characteristic data.

3. The vehicle driving parameter adjustment method according to claim 2, characterized in that The first monitoring area includes the steering wheel area, the seat back area, and the driver's hand area and shoulder area; the second monitoring area includes the driver's face area and head area; The performing of visual analysis processing on the first monitoring image and the second monitoring image to obtain the driving posture characteristic data, the gender characteristic data, and the age characteristic data includes: Determining the steering wheel positioning point information corresponding to the steering wheel area and the backrest positioning point information corresponding to the seat back area from the first monitoring image according to a preset positioning rule; Extracting the hand features corresponding to the hand area and the shoulder features corresponding to the shoulder area from the first monitoring image, and extracting the face features corresponding to the face area and the head features corresponding to the head area from the second monitoring image; Performing visual analysis processing on the steering wheel positioning point information, the backrest positioning point information, the head features, the shoulder features, and the hand features to obtain the driving posture characteristic data; Performing visual analysis processing on the face features and the head features to obtain the gender characteristic data and the age characteristic data.

4. The vehicle driving parameter adjustment method according to claim 1, characterized in that, The obtaining of the driver's driving posture characteristic data includes: Sending a driving posture adjustment instruction to the driver through a preset prompting method, and monitoring whether a driving posture adjustment signal is received; If a driving posture adjustment signal is received within a preset adjustment duration, after adjusting the preset posture adjustment component according to the driving posture adjustment signal, obtaining the driver's driving posture characteristic data; If a driving posture adjustment signal is not received after the preset adjustment duration, confirming that the driving posture adjustment is completed, and obtaining the driver's driving posture characteristic data.

5. The vehicle driving parameter adjustment method according to claim 1, characterized in that, Before determining the driving setting parameters associated with the driving ability portrait level according to the preset level parameter association table, including: Obtain a sample data set, where the sample data set includes multiple groups of driver sample data; each group of driver sample data includes driving posture feature sample data, gender feature sample data, age feature sample data, and driving setting sample parameters corresponding to the same driver; Determine the driving ability sample level corresponding to each group of the driver sample data according to the preset level evaluation rule; Generate level setting association data according to the driving ability sample level and the driving setting sample parameters corresponding to the same group of the driver sample data; Generate the preset level parameter association table according to all the level setting association data.

6. The vehicle driving parameter adjustment method according to claim 1, wherein Before receiving the driving parameter adjustment request, it further includes: When it is detected that the in-vehicle account of the driver is logged in, obtain the vehicle status information; When the vehicle status information meets the preset status condition, obtain the driver identity information, and determine whether there is a driving setting memory parameter associated with the driver identity information; If there is a driving setting memory parameter associated with the driver identity information, perform parameter setting on the vehicle preset adjustment component according to the driving setting memory parameter, complete the driving setting adjustment, and monitor whether the preset adjustment button is triggered; If it is detected that the preset adjustment button is triggered, generate a driving parameter adjustment request.

7. The vehicle driving parameter adjustment method according to claim 6, wherein After performing driving parameter setting on the vehicle preset adjustment component according to the driving setting parameter, it includes: Within a preset monitoring duration, monitor whether a post-adjustment signal for the driver to perform post-adjustment on the vehicle preset adjustment component is received; If the post-adjustment signal is not received within the preset monitoring duration, set the driving setting parameter to the driving setting memory parameter associated with the driver's driver identity information; If the post-adjustment signal is received within the preset monitoring duration, update the driving setting parameter according to the post-adjustment signal, and set the updated driving setting parameter to the driving setting memory parameter associated with the driver's driver identity information.

8. A vehicle driving parameter adjustment device, characterized in that, It includes: A feature data acquisition module, configured to receive a driving parameter adjustment request and obtain the driver's driving posture feature data, gender feature data, and age feature data; A driving level determination module, configured to determine the driving ability portrait level of the driver according to the driving posture feature data, the gender feature data, and the age feature data; A driving parameter setting module, configured to determine the driving setting parameter associated with the driving ability portrait level according to the preset level parameter association table, and perform driving parameter setting on the vehicle preset adjustment component according to the driving setting parameter.

9. A vehicle, comprising a controller, characterized in that, The controller is used to execute the vehicle driving parameter adjustment method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by one or more processors, the one or more processors execute the vehicle driving parameter adjustment method according to any one of claims 1 to 7.

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