Tire pressure monitoring method and device, vehicle and storage medium

By setting cameras inside and outside the vehicle to obtain image data and number of personnel, and calculating tire pressure change rate and standard tire pressure value, the existing tire pressure monitoring methods are solved, and high accuracy and low cost tire pressure detection are achieved.

CN120363643APending Publication Date: 2025-07-25CHONGQING CHANGAN AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202510523001.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-24
Publication Date
2025-07-25

AI Technical Summary

Technical Problem

The existing tire pressure monitoring methods mainly include direct detection and indirect detection. Direct detection requires the installation of hardware equipment on vehicle tires, which is high cost and difficult to maintain, while indirect detection accuracy is low.

Method used

By setting cameras inside and outside the car to obtain real-time image data of the tire and the number of people in the car, using the preset database to calculate the tire pressure change rate and standard tire pressure value, and generate the real-time tire pressure value of the tire, avoiding the installation of additional hardware equipment.

Benefits of technology

It improves the accuracy of tire pressure detection and reduces hardware costs, and is not affected by road conditions and environmental factors, improving user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention provides a tire pressure monitoring method and device, a vehicle and a storage medium, and is applied to the vehicle. The tire pressure monitoring method comprises the following steps: acquiring attribute data of a tire based on a real-time image of the tire; based on the attribute data and the real-time number of the persons in the vehicle, the target tire pressure change rate and the standard tire pressure value of the tire are obtained; wherein the tire pressure change rate represents the change degree of the tire pressure of the tire in unit volume relative to a standard tire pressure value under different tire pressure influence factors; generating a tire pressure change value of the tire based on the attribute data and the target tire pressure change rate; and generating a real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value. Through the technical scheme, the accuracy of tire pressure detection can be improved without adding additional hardware equipment, so that the user experience is improved.
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Description

Technical Field

[0001] This application relates to, but is not limited to, the field of vehicle technologies, and in particular, to a tire pressure monitoring method, device, vehicle, and storage medium. Background Art

[0002] Currently, the main tire pressure monitoring methods include direct detection and indirect detection. For direct detection, hardware devices need to be installed on vehicle tires, which is costly and difficult to maintain. Indirect detection estimates tire pressure based on tire rotation speed or radius, with relatively low accuracy. Summary of the Invention

[0003] In view of this, embodiments of this application provide a tire pressure monitoring method, device, vehicle, and storage medium.

[0004] The technical solutions of the embodiments of this application are implemented as follows:

[0005] In a first aspect, an embodiment of this application provides a tire pressure monitoring method applied to a vehicle, including: obtaining attribute data of a tire based on a real-time image of the tire; obtaining a target tire pressure change rate and a standard tire pressure value of the tire based on the attribute data and the real-time number of passengers in the vehicle; where the tire pressure change rate represents the degree of change of the tire pressure per unit volume relative to the standard tire pressure value under different tire pressure influencing factors; generating a tire pressure change value based on the attribute data and the target tire pressure change rate; and generating a real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value.

[0006] According to the above technical means, at least one camera disposed inside and outside the vehicle can obtain image data of each tire of the vehicle and the number of passengers in the vehicle; the attribute data of the tire is obtained based on the image data of each tire, so as to obtain corresponding air pressure data from a preset database based on the attribute data of the tire and the number of passengers in the vehicle; thus, the real-time tire pressure value of the vehicle can be generated based on the attribute data and the air pressure data of the vehicle; compared with the prior art, there is no need to additionally set a corresponding tire pressure device on the vehicle tires, reducing the hardware cost. Determining the real-time tire pressure value through the image data of the vehicle and the number of passengers in the vehicle is not affected by road conditions and environmental factors, thereby improving the accuracy of detecting the real-time tire pressure value of the tire.

[0007] In some embodiments, the attribute data includes standard attribute data and real-time attribute data, and a deformation amount of the tire is generated based on the standard attribute data and the real-time attribute data; the tire pressure change value is generated based on the deformation amount, the target tire pressure change rate, and the standard attribute data.

[0008] According to the above technical means, the deformation amount of the tire is determined by the standard attribute data and the real-time attribute data of the tire, and the tire pressure change value is generated based on the deformation amount, the attribute data, and the tire pressure change rate; and the real-time tire pressure value of the tire is determined based on the tire pressure change value and the standard tire pressure. Without adding additional hardware devices, the real-time tire pressure change value of the tire can be determined, so as to obtain a highly accurate real-time tire pressure value, reduce costs, and thus improve the user experience.

[0009] In some embodiments, the standard attribute data includes the standard width, the standard aspect ratio, and the standard radius of the wheel hub; based on the standard width, the standard aspect ratio, and the standard radius of the wheel hub, the standard volume of the tire is determined; based on the quotient of the deformation amount of the tire and the standard volume, the volume change rate of the tire is determined; the product of the volume change rate, the tire pressure change rate, and the standard tire pressure value is determined as the tire pressure change value.

[0010] According to the above technical means, the standard volume of the tire is generated by the standard width, the standard aspect ratio, and the standard radius of the wheel hub; based on the quotient of the deformation amount of the tire and the standard volume, the volume change rate of the tire is generated; the product of the volume change rate, the tire pressure change rate, and the standard tire pressure value is determined as the tire pressure change value. Without adding additional hardware devices, the real-time tire pressure change value of the tire can be determined, so as to obtain a highly accurate real-time tire pressure value, reduce costs, and thus improve the user experience

[0011] In some embodiments, the real-time attribute data includes the real-time width and the real-time aspect ratio. Based on the real-time width, the real-time aspect ratio, and the standard radius of the wheel hub, the real-time volume of the tire is determined; and the deformation amount of the tire is determined based on the standard volume and the real-time volume.

[0012] According to the above technical means, the standard volume of the tire can be determined by the standard width, the standard aspect ratio, and the standard radius of the wheel hub of the tire; the real-time volume of the tire can be determined by the real-time width, the real-time aspect ratio, and the standard radius of the wheel hub of the tire. Without adding additional hardware devices, the deformation amount of the tire can be determined based on the difference between the standard volume and the real-time volume, reducing costs and improving the accuracy of obtaining the deformation amount of the tire; thus improving the user experience.

[0013] In some embodiments, based on the real-time tire pressure value and the preset tire pressure range, a detection result for the tire pressure is generated.

[0014] According to the above technical means, through the real-time tire pressure value and the preset tire pressure range, a detection result indicating whether the current real-time tire pressure value is a safe tire pressure can be generated, and the detection result is displayed on the central control display screen of the vehicle to prompt the user, thereby improving the user experience.

[0015] In some embodiments, when the real-time tire pressure value falls within the preset tire pressure range, it is determined that the detection result of the tire pressure is normal tire pressure; when the real-time tire pressure value does not fall within the preset tire pressure range, it is determined that the detection result of the tire pressure is abnormal tire pressure.

[0016] According to the above technical means, a detection result indicating whether the real-time tire pressure value is normal is generated based on the real-time tire pressure value and the preset tire pressure range; and the real-time tire pressure values of at least one tire are displayed on the central control display screen of the vehicle, so that the user can intuitively obtain the real-time tire pressure value of the current tire; thereby improving the user experience.

[0017] In some embodiments, the attribute data includes the standard attribute data and real-time attribute data of the tire; edge detection is performed on the real-time image to obtain an edge map, and the edge map represents the main body edge, wheel hub edge, and logo edge of the tire; contour detection is performed on the edge map to obtain a contour map; the contour map represents the main body contour, wheel hub contour, and logo contour of the tire; feature extraction is performed on the contour map to obtain the main body features, wheel hub features, and logo features of the tire; the standard attribute data of the tire is determined based on the logo features of the tire, and the real-time attribute data of the tire is determined based on the main body features and wheel hub features of the tire.

[0018] According to the above technical means, by using a target algorithm or a target model to process the real-time image of the tire, accurate attribute data of the tire can be obtained; the accuracy of the subsequent generated real-time tire pressure value is improved, and no additional hardware device needs to be added, reducing the cost, thereby improving the user experience.

[0019] In a second aspect, an embodiment of the present application provides a tire pressure monitoring device applied to a vehicle, including: a first acquisition module for acquiring attribute data of a tire based on a real-time image of the tire; a second acquisition module for acquiring a target tire pressure change rate and a standard tire pressure value of the tire based on the attribute data and the real-time number of passengers in the vehicle; wherein the tire pressure change rate represents the degree of change of the tire pressure per unit volume relative to the standard tire pressure value under different tire pressure influencing factors; a first generation module for generating a tire pressure change value based on the attribute data and the target tire pressure change rate; a second generation module for generating a real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value.

[0020] In a third aspect, an embodiment of the present application provides a vehicle, including an image acquisition unit, a memory, and a processor, where the image acquisition unit is configured to acquire a real-time image of a tire of the vehicle; the memory stores a computer program that can run on the processor, and when the processor executes the program, it implements some or all of the steps in the above method.

[0021] Fourthly, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, some or all of the steps in the above method are implemented.

[0022] Advantages of the present application:

[0023] Image data of each tire of the vehicle and the number of people in the vehicle can be obtained through at least one camera disposed inside and outside the vehicle; attribute data of the tire is obtained based on the image data of each tire, so as to obtain corresponding air pressure data from a preset database based on the attribute data of the tire and the number of people in the vehicle; thus, a real-time tire pressure value of the vehicle can be generated based on the attribute data and the air pressure data of the vehicle, without the need to set a corresponding tire pressure device on the vehicle tires, reducing the hardware cost. Determining the real-time tire pressure value through the image data of the vehicle and the number of people in the vehicle is not affected by road surface conditions and environmental factors, thereby improving the accuracy of detecting the real-time tire pressure value; when the real-time tire pressure value of the tire is not within the normal range, a warning is given to the driver, thereby improving the user experience.

[0024] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the technical solution of the present application. Description of the drawings

[0025] In the drawings (which are not necessarily drawn to scale), similar reference numerals may describe similar components in different views. Similar reference numerals with different letter suffixes may represent different examples of similar components. The drawings generally illustrate, by way of example and not limitation, the various embodiments discussed herein.

[0026] Figure 1 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by an embodiment of the present application;

[0027] Figure 2 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by an embodiment of the present application;

[0028] Figure 3 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by an embodiment of the present application;

[0029] Figure 4 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by an embodiment of the present application;

[0030] Figure 5 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by an embodiment of the present application;

[0031] Figure 6 It is a schematic diagram of a tire pressure monitoring system based on a camera provided by an embodiment of the present application;

[0032] Figure 7 Schematic diagram of the implementation process of a tire pressure monitoring method provided by an embodiment of the present application;

[0033] Figure 8 Schematic diagram of the composition structure of a tire pressure monitoring device provided by an embodiment of the present application;

[0034] Figure 9 Schematic diagram of the hardware entity of a vehicle provided by an embodiment of the present application. Detailed implementation manners

[0035] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be construed as limiting the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0036] The exemplary embodiments disclosed in the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the specific embodiments set forth herein. On the contrary, these embodiments are provided so that the present application can be more thoroughly understood and the scope of the present application can be fully communicated to those skilled in the art.

[0037] In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present application. However, it is obvious to those skilled in the art that the present application can be implemented without one or more of these details. In other instances, some well-known technical features are not described in order to avoid confusion with the present application; that is, not all features of the actual embodiments are described here, and the well-known functions and structures are not described in detail.

[0038] In the drawings, for clarity, the dimensions of layers, regions, elements and their relative dimensions may be exaggerated. The same reference numerals throughout the drawings denote the same elements.

[0039] The purpose of the terms used herein is only to describe specific embodiments and is not a limitation of the present application. When used herein, the singular forms "a", "an" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms "comprising" and / or "including", when used in this specification, determine the presence of the described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups. When used herein, the term "and / or" includes any and all combinations of the related listed items.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The technical and scientific terms used herein are for the purpose of describing embodiments of this application only and do not limit this application.

[0041] Current tire pressure monitoring methods mainly include direct detection and indirect detection. Direct detection requires installing hardware devices on vehicle tires, which is costly and difficult to maintain. Indirect detection estimates tire pressure based on tire rotation speed or radius, with relatively low accuracy.

[0042] In response to this, this application provides a tire pressure monitoring method, which obtains attribute data of the tire based on real-time images of at least one tire; the attribute data includes standard attribute data and real-time attribute data of the tire; based on the attribute data and the real-time number of passengers in the vehicle, obtains the tire pressure data from a preset database; the preset database includes tire pressure data corresponding to tires under different conditions; generates a real-time tire pressure value of the tire based on the attribute data and the tire pressure data. It can improve the accuracy of tire pressure detection without adding additional hardware devices, thereby improving the user experience.

[0043] Figure 1 FIG. is a schematic flowchart of the implementation of a tire pressure monitoring method provided by an embodiment of this application, and this method can be executed by a processor of a vehicle. As Figure 1 shown, this method includes the following steps S101 to S104, which will be described in conjunction with Figure 1 the steps shown.

[0044] Step S101: Obtain the attribute data of the tire based on the real-time image of the tire.

[0045] Among them, the attribute data includes standard attribute data and real-time attribute data of the tire.

[0046] In some embodiments, the attribute data of the tire may include tire brand, tire type, tire width, tire aspect ratio, wheel hub radius, tire grade parameter, tire performance parameter, etc.

[0047] In some embodiments, the standard attribute data of the tire may include tire brand, tire type, standard tire width, standard tire aspect ratio, standard wheel hub radius, tire grade parameter, tire performance parameter, etc.

[0048] In some embodiments, the real-time attribute data of the tire may include real-time tire width, real-time tire aspect ratio, etc.

[0049] Among them, the tire level parameters can be the speed level, load level, etc. of the tire; the performance parameters of the tire can include the tread pattern, rolling resistance, grip, noise level, etc. of the tire.

[0050] In some embodiments, it is first necessary to collect real-time image data of the vehicle tires, including: collecting real-time image data of each tire through at least one camera arranged on the outside of the vehicle, wherein the image data of each tire includes features such as the side and texture of the tire.

[0051] In some embodiments, after collecting the image data of each tire, it is also necessary to preprocess the real-time collected image data, including: denoising, grayscale conversion, and histogram equalization of the real-time collected image data to improve the image quality and contrast.

[0052] In some embodiments, based on the preprocessed image data, obtain the attribute data of the tire, including: performing edge detection on the preprocessed image to extract the edge information of the tire, including: the outer edge of the tire, the edge of the tire pattern, the edge of the tire sidewall, the inner edge of the tire, the edge of the wheel hub, the tire logo, and the text edge; performing contour extraction on the image after edge detection to obtain the contour information of the tire, including the outer contour of the tire, the contour of the tire pattern, the contour of the tire sidewall, the inner contour of the tire, the contour of the wheel hub, the tire logo, and the text contour; performing feature extraction on the image data after contour extraction to obtain the feature points in each contour; matching the attribute data corresponding to each feature point from a pre-set database based on the feature points in each contour, wherein the pre-set database includes the attribute data corresponding to different feature points.

[0053] Exemplarily, the feature points extracted from the tire logo contour and the text contour are used to match the tire type and tire brand of the tire from the pre-set database; the feature points extracted from the wheel hub contour are used to match the standard radius of the wheel hub from the pre-set database.

[0054] Step S102, based on the attribute data and the real-time number of people in the vehicle, obtain the target tire pressure change rate and the standard tire pressure value of the tire.

[0055] Among them, the tire pressure change rate characterizes the degree of change of the tire pressure of the tire under different tire pressure influencing factors relative to the standard tire pressure value per unit volume.

[0056] In some embodiments, first, at least one camera disposed inside the vehicle is used to collect image data inside the vehicle in real time, and the collected image data is preprocessed, including denoising, grayscale conversion, histogram equalization, etc.; second, the preprocessed image data is subjected to image recognition to obtain the number of people inside the vehicle. Among them, the image data inside the vehicle can be recognized based on a trained image recognition model to obtain the number of people inside the vehicle, and the load of the vehicle is determined based on the number of people inside the vehicle.

[0057] In some embodiments, the air pressure data may include the tire pressure change rate corresponding to unit deformation in the current scenario and the standard tire pressure value.

[0058] Among them, the tire pressure change rate is related to the type and load of the tire; for example, tires of different types, brands, and specifications have different characteristics such as sidewall stiffness and material, which will result in different tire pressure changes corresponding to unit deformation. For example, high-performance tires have harder sidewalls, and under the same deformation, the tire pressure change is smaller. The greater the vehicle load, the greater the pressure on the tires. When the vehicle load changes, the tire pressure change corresponding to unit deformation is different. For example, when a fully loaded truck and an empty car have the same tire deformation, the tire pressure change rate of the truck tire is 0.3%, and the tire pressure change rate of the car tire is 0.2%. It can be understood that in this case, the tire pressure change rate of the truck tire is greater than that of the car tire.

[0059] Among them, the tire pressure change rate is also related to the temperature of the tire, and the volume of the gas inside the tire will change with the temperature. When the temperature rises, the gas expands and the tire pressure increases; when the temperature drops, the tire pressure decreases. When the tire deforms, the volume of the internal gas also changes, and the influence of the volume change at different temperatures on the tire pressure is also different. For example, in a high-temperature environment, the increase in tire pressure corresponding to unit deformation of the tire is greater than that in a low-temperature environment. It can be understood that the tire pressure change rate in a high-temperature environment is greater than that in a low-temperature environment.

[0060] In some embodiments, the real-time number of people inside the vehicle represents the load condition of the vehicle, and the target tire pressure change rate represents the tire pressure change rate of the vehicle under the condition of the real-time number of people inside the vehicle, that is, the real-time load, per unit volume. Exemplarily, the real-time number of people inside the vehicle is 3, and the target tire pressure change rate is 0.3%.

[0061] In some embodiments, the target tire pressure change rate and the standard tire pressure value of the tire can be obtained from a preset database based on the attribute data and the real-time number of people inside the vehicle. The preset database includes safety tire pressure values and tire pressure change rates corresponding to different attribute data and the number of people.

[0062] In some embodiments, the preset database is generated based on the historical attribute data of the tire and the number of occupants in the vehicle, and it includes the mapping relationships between different historical attribute data, different numbers of occupants, and the tire pressure data. After obtaining the attribute data of the tire and the number of occupants based on the above steps, based on this mapping relationship, the corresponding tire pressure data is obtained from the preset database.

[0063] In some embodiments, the preset database can be established in the following manner: establish a tire attribute table, a personnel load table, and a tire pressure parameter table. Among them, the tire attribute table includes various attribute information of the tire, and each tire is associated with other tables by a unique identifier (such as tire ID); the personnel load table is associated with the vehicle ID and records the load conditions corresponding to different numbers of occupants; the tire pressure parameter table associates the first two tables through the tire ID and the personnel load range, and stores the standard tire pressure value and the tire pressure change rate. The tire pressure change rate can be divided into tire pressure change coefficients under different deformation degrees.

[0064] Step S103: Generate the tire pressure change value of the tire based on the attribute data and the target tire pressure change rate.

[0065] In some embodiments, the attribute data may include the standard attribute data and the real-time attribute data of the tire pressure. Based on the standard attribute data and the real-time attribute data, the deformation amount of the tire is generated, where the deformation amount can be the volume deformation amount, the radius deformation amount, etc. of the tire; based on the change amount of the tire and the target tire pressure change rate of the tire, the tire pressure change value of the tire is generated.

[0066] Step S104: Generate the real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value.

[0067] In some embodiments, first, the real-time deformation amount of the tire is generated based on the attribute data; based on the real-time deformation amount, the attribute data, and the tire pressure data, the real-time tire pressure value of the tire is generated.

[0068] Among them, the attribute data includes the standard attribute data and the real-time attribute data. Based on the standard attribute data, the standard volume of the tire is generated. Based on the standard attribute data and the real-time attribute data, the real-time volume of the tire is generated. Based on the standard volume and the real-time volume, the tire pressure change value of the tire is generated. Based on the tire pressure change value and the standard tire pressure value, the real-time tire pressure value of the tire is generated.

[0069] In some embodiments, please refer to the following formula (1). Formula (1) is the expression for generating the real-time tire pressure value of the tire based on the standard tire pressure value and the tire pressure change value.

[0070] P = P1 + ΔP Formula (1)

[0071] Wherein, P1 is the standard tire pressure value, and P is the real-time tire pressure value of the tire.

[0072] In some embodiments, after obtaining the real-time tire pressure value of the vehicle tire, the real-time tire pressure value of the tire is displayed on the central control screen of the vehicle. If the real-time tire pressure value is not within the safe tire pressure range, an alarm message is generated and the alarm message is displayed to remind the driver to take corresponding measures.

[0073] In the embodiments of the present application, at least one camera disposed inside and outside the vehicle can acquire image data of each tire of the vehicle and the number of people inside the vehicle; based on the image data of each tire, attribute data of the tire is obtained, so as to obtain corresponding air pressure data from a preset database based on the attribute data of the tire and the number of people inside the vehicle; thus, the real-time tire pressure value of the vehicle can be generated based on the attribute data and air pressure data of the vehicle, and it is not necessary to set a corresponding tire pressure monitoring device on the vehicle tire, reducing the hardware cost. Determining the real-time tire pressure value through the image data of the vehicle and the number of people inside the vehicle is not affected by road surface conditions and environmental factors, thereby improving the accuracy of detecting the real-time tire pressure value of the tire.

[0074] Figure 2 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by the embodiments of the present application, and this method can be executed by a processor of the vehicle. Based on Figure 1 , the attribute data includes standard attribute data and real-time attribute data. Figure 1 Step S103 in Figure 2 can be updated to step S201 and step S202, and will be described in combination with the steps shown in

[0075] Step S201, generate the deformation amount of the tire based on the standard attribute data and the real-time attribute data.

[0076] In some embodiments, the deformation amount of the tire may include the change amount of the tire radius.

[0077] In some embodiments, a standard radius of the tire is generated based on the standard attribute data, a real-time radius of the tire is generated based on the real-time attribute data, and a radius change amount is generated based on the standard radius and the real-time radius; wherein, the difference between the standard radius and the real-time radius is used as the radius change amount.

[0078] In some embodiments, the deformation amount of the tire may further include the volume deformation amount of the tire.

[0079] In some embodiments, a standard volume of the tire is generated based on the standard attribute data, a real-time volume of the tire is generated based on the real-time attribute data, and a volume deformation amount of the tire is obtained based on the standard volume and the real-time volume of the tire; wherein, the difference between the standard volume and the real-time volume is used as the volume change amount.

[0080] Step S202: Generate a real-time tire pressure change value based on the deformation of the tire, the target tire pressure change rate, and the standard attribute data.

[0081] In some embodiments, the standard attribute data may include the standard width, the standard aspect ratio, and the standard radius of the wheel hub. Based on the target tire pressure change rate, the deformation amount, and the standard attribute data of the tire, determine the tire pressure change amount.

[0082] Among them, first determine the standard volume of the tire based on the standard attribute data. Secondly, determine the tire pressure change amount based on the ratio of the product of the target tire pressure change rate and the deformation amount of the tire to the standard volume.

[0083] In some other embodiments, the pressure F exerted on the tire mainly comes from the weight of the people in the vehicle and the vehicle itself, and is also related to the air pressure in the tire. If the contact area between the tire and the ground is A and the tire pressure is P, then the total pressure F exerted on the tire is F = P × A, where the contact area between the tire and the ground can be estimated by the real-time aspect ratio of the tire. Since the elastic force F of the object of the tire is related to the deformation amount ΔL, based on Hooke's law, F = k × ΔL, where k is the elastic coefficient and can be determined based on the type and brand of the tire. Based on the above, the tire pressure P can be determined as P = k × ΔL / A.

[0084] In the embodiments of the present application, determine the deformation amount of the tire through the standard attribute data and the real-time attribute data of the tire, generate the tire pressure change value based on the deformation amount, the attribute data, and the target tire pressure change rate; and determine the real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure. Without adding additional hardware devices, it is possible to determine the real-time tire pressure change value of the tire, thereby obtaining a real-time tire pressure value with high accuracy, reducing costs, and improving the user experience.

[0085] Figure 3 It is a schematic flowchart of the implementation process of a tire pressure monitoring method provided by the embodiments of the present application, and this method can be executed by a processor of a vehicle. Based on Figure 2 , the standard attribute data includes the standard width, the standard aspect ratio, and the standard radius of the wheel hub. Figure 2 The step S202 in Figure 3 can be updated to steps S301 to S303, and will be described in combination with the steps shown in

[0086] Step S301: Determine the standard volume of the tire based on the standard width, the standard aspect ratio, and the standard radius of the wheel hub.

[0087] In some embodiments, please refer to the following formula (2) to generate the standard volume of the tire based on the standard width, the standard aspect ratio, and the standard radius of the wheel hub.

[0088] L1 = V0 - V1 = W1 * π(R1 + AR1 * W1)^2 - W1 * πR1^2 = W1 * π(2R1 + AR1 * W1) * AR1 * W1 Formula (2)

[0089] Wherein, L1 is the standard volume of the tire, W1 is the standard width of the tire, R1 is the standard radius of the wheel hub, AR1 is the standard aspect ratio of the tire, V1 is the real-time volume of the wheel hub, and V0 is the real-time volume of the wheel.

[0090] In some embodiments, the volume of the vehicle wheel includes the tire volume and the wheel hub volume; wherein the tire volume is obtained by subtracting the wheel hub volume from the wheel volume. It can be understood that in Formula (2), W1 * π(R1 + AR1 * W1)^2 is the wheel volume, and W1 * πR1^2 is the wheel hub volume.

[0091] Step S302: Determine the volume change rate of the tire based on the quotient of the deformation amount of the tire and the standard volume.

[0092] In some embodiments, please refer to the following Formula (3) to generate the volume change rate of the tire based on the quotient of the deformation amount of the tire and the standard volume.

[0093]

[0094] Wherein, X is the volume change rate, and ΔL is the deformation amount of the tire.

[0095] Step S303: Determine the tire pressure change value as the product of the volume change rate, the target tire pressure change rate, and the standard tire pressure value.

[0096] In some embodiments, please refer to the following Formula (4), and Formula (4) is an expression of the product of the volume change rate, the target tire pressure change rate, and the standard tire pressure value.

[0097] ΔP = E * X * P1 Formula (4)

[0098] Wherein, ΔP is the tire pressure change value, E is the target tire pressure change rate, and P1 is the standard tire pressure value.

[0099] In the embodiments of the present application, the standard volume of the tire is generated based on the standard width, the standard aspect ratio, and the standard radius of the wheel hub; the volume change rate of the tire is generated based on the quotient of the deformation amount of the tire and the standard volume; the product of the volume change rate, the target tire pressure change rate, and the standard tire pressure value is determined as the tire pressure change value. Without adding additional hardware devices, the real-time tire pressure change value of the tire can be determined, so as to obtain a real-time tire pressure value with high accuracy, reduce costs, and thus improve the user experience.

[0100] Figure 4 The figure is a schematic implementation flowchart of a tire pressure monitoring method provided by an embodiment of the present application. This method can be executed by a processor of a vehicle. Based on Figure 2 , the real-time attribute data includes real-time width and real-time aspect ratio. Figure 2 In Figure 4 , step S201 can be updated to step S401 and step S402, which will be described in combination with the steps

[0101] Step S401: Determine the real-time volume of the tire based on the real-time width, the real-time aspect ratio, and the standard radius of the wheel hub.

[0102] In some embodiments, the real-time volume of the tire is determined by subtracting the real-time volume of the wheel hub from the real-time volume of the wheel.

[0103] In some embodiments, please refer to the following formula (5) to generate the real-time volume of the tire based on the real-time width, the real-time aspect ratio, and the standard radius of the wheel hub.

[0104] L2 = V0 ′ - V1 ′ = W2 * π(R1 + AR2 * W2)2 - W2 * πR12 = W2 * π(2R1 + AR2 * W2) * AR1 * W2 Formula (5)

[0105] Wherein, L2 is the real-time volume of the tire, V0 ′ is the real-time volume of the wheel, V1 ′ is the real-time volume of the wheel hub, W2 is the real-time width of the tire, and AR2 is the real-time aspect ratio of the tire. It can be understood that W2 * π(R2 + AR1 * W2)2 is the real-time volume V0 ′ of the wheel, and W2 * πR22 is the real-time volume V1 ′ of the wheel hub.

[0106] Step S402: Determine the deformation amount of the tire based on the standard volume and the real-time volume.

[0107] In some embodiments, the difference between the standard volume and the real-time volume is determined as the deformation amount. Please refer to the following formula (6).

[0108] ΔL = L1 - L2 Formula (6)

[0109] Wherein, ΔL is the deformation amount.

[0110] In the embodiments of the present application, the standard volume of a tire can be determined by the standard width, standard aspect ratio, and standard radius of the wheel hub of the tire; the real-time volume of the tire can be determined by the real-time width, real-time aspect ratio, and standard radius of the wheel hub of the tire. Without the need to add additional hardware devices, the deformation amount of the tire can be determined based on the difference between the standard volume and the real-time volume, reducing costs and improving the accuracy of obtaining the deformation amount of the tire; thereby improving the user experience.

[0111] In some embodiments, after generating the real-time tire pressure value, the following implementation process is further included:

[0112] Based on the real-time tire pressure value and the preset tire pressure range, a detection result for the tire pressure is generated.

[0113] In some embodiments, the preset tire pressure range represents the safe tire pressure range of the tire when the vehicle is in the tire environment corresponding to the real-time tire pressure value. It can be understood that the safe tire pressure range of the tire is in a scenario where the vehicle's tires are under a certain load, wear, etc.

[0114] In some embodiments, the real-time tire pressure value is compared with the minimum and maximum values of the preset tire pressure range, and a detection result for the real-time tire pressure value of the tire is determined based on the comparison result. Among them, when the real-time tire pressure value is greater than the maximum value or less than the minimum value, a detection result that the real-time tire pressure value is larger or the real-time tire pressure value is smaller is generated, and when the real-time tire pressure value is less than the maximum value and greater than the minimum value, a detection result that the real-time tire pressure value is the safe tire pressure is generated.

[0115] In some embodiments, after generating the real-time tire pressure value of the tire, the real-time tire pressure value of the tire is displayed on the vehicle's central control display screen, and the generated detection result for the real-time tire pressure value of the tire is also displayed on the central control display screen to prompt the user of the current real-time tire pressure value status of the tire.

[0116] In the embodiments of the present application, based on the real-time tire pressure value and the preset tire pressure range, a detection result indicating whether the current real-time tire pressure value is the safe tire pressure can be generated, and the detection result is displayed on the vehicle's central control display screen to prompt the user, thereby improving the user experience.

[0117] The above solution for generating a detection result for the tire pressure based on the real-time tire pressure value and the preset tire pressure range may include the following implementation manners:

[0118] In the case where the real-time tire pressure value falls within the preset tire pressure range, it is determined that the detection result of the tire pressure is normal tire pressure.

[0119] In some embodiments, the real-time preset tire pressure range includes the set or interval of the safe tire pressure of the vehicle when the vehicle is in the environment corresponding to the real-time tire pressure value.

[0120] Among them, if the preset tire pressure range is the set of safe tire pressures, the real-time tire pressure value is compared with each safe tire pressure in the set of safe tire pressures. If the real-time tire pressure value is the same as any one of the safe tire pressures, it indicates that the real-time tire pressure value falls within the preset tire pressure range, and a detection result indicating that the real-time tire pressure value of the tire is normal is generated, that is, a detection result indicating that the real-time tire pressure value is a safe tire pressure is generated.

[0121] Among them, if the preset tire pressure range is the safe tire pressure interval, the real-time tire pressure value is compared with the minimum and maximum values of the safe interval. If the real-time tire pressure value is less than the maximum value and greater than the minimum value, it indicates that the real-time tire pressure value falls within the preset tire pressure range, and a detection result indicating that the real-time tire pressure value is normal is generated. That is to say, a detection result indicating that the current tire pressure is a safe tire pressure is generated.

[0122] In some embodiments, if the real-time tire pressure value is a safe tire pressure, the real-time tire pressure value and the detection result are displayed on the central control display screen of the vehicle.

[0123] In the case where the real-time tire pressure value does not fall within the preset tire pressure range, it is determined that the detection result of the tire pressure is abnormal tire pressure.

[0124] In some embodiments, if the preset tire pressure range is the set of safe tire pressures, the real-time tire pressure value is compared with each safe tire pressure in the set of safe tire pressures. If the real-time tire pressure value is different from each of the safe tire pressures, it indicates that the real-time tire pressure value does not fall within the preset tire pressure range, and a detection result indicating that the real-time tire pressure value is abnormal is generated. That is to say, a detection result indicating that the current tire pressure is an abnormal tire pressure is generated.

[0125] In some embodiments, among them, if the preset tire pressure range is the safe tire pressure interval, the real-time tire pressure value is compared with the minimum and maximum values of the safe interval. If the real-time tire pressure value is greater than the maximum value or less than the minimum value, it indicates that the real-time tire pressure value does not fall within the preset tire pressure range, and a detection result indicating that the real-time tire pressure value is abnormal is generated. That is to say, a detection result indicating that the current tire pressure is an abnormal tire pressure is generated.

[0126] In some embodiments, after generating the detection result and the real-time tire pressure value, the detection result and the real-time tire pressure value are displayed on the central control display screen of the vehicle.

[0127] In the embodiments of the present application, a detection result indicating whether the real-time tire pressure value is normal is generated through the real-time tire pressure value and the preset tire pressure range; and the real-time tire pressure value of the tire is displayed on the central control display screen of the vehicle, so that the user can directly obtain the real-time tire pressure value of the current tire; thereby improving the user experience.

[0128] In the case where the real-time tire pressure value does not fall within the preset tire pressure range, a warning message is generated.

[0129] In some embodiments, the warning information can be presented through a combination of text information, voice information, and light information to describe that the current real-time tire pressure value is abnormal.

[0130] Exemplarily, when the real-time tire pressure value does not fall within the preset tire pressure range, the current real-time tire pressure value is described to the driver through voice, and at the same time, the driver is warned by means of light flashing; or text information is displayed on the central control display screen of the vehicle to describe that the current real-time tire pressure value is abnormal, and at the same time, the driver is warned by means of light flashing.

[0131] In the embodiments of the present application, when the real-time tire pressure value does not fall within the preset tire pressure range, warning information is generated and displayed to inform the driver that the current tire pressure is abnormal through the warning information, improving the user experience.

[0132] Figure 5 It is a schematic flowchart of the implementation of a tire pressure monitoring method provided by the embodiments of the present application, and this method can be executed by a processor of a vehicle. Based on Figure 1 , the attribute data includes the standard attribute data and real-time attribute data of the tire; Figure 1 Step S101 in Figure 5 can be updated to steps S501 to S504, and will be described in combination with the steps shown in

[0133] Step S501: Perform edge detection on the real-time image to obtain an edge map, and the edge map represents the main body edge, hub edge, and identification edge of the tire.

[0134] In some embodiments, the main body edge includes the outer edge of the tire, the tread edge of the tire, the sidewall edge of the tire, and the inner edge of the tire; the identification edge includes the tire logo edge and the text edge.

[0135] In some embodiments, an edge map is obtained based on the real-time image of the tire and the first target algorithm.

[0136] Among them, the first target algorithm can adopt the Canny algorithm (Canny Edge Detection Algorithm, Canny), the Sobel algorithm (Sobel Operator Algorithm, Sobel), and the Laplacian algorithm (LaplacianOperator Algorithm, Laplacian) to extract the edge information of the tire, including: the outer edge of the tire, the tread edge of the tire, the sidewall edge of the tire, the inner edge of the tire, the hub edge, the tire logo, and the text edge.

[0137] In some embodiments, an edge map is obtained based on the real-time image of the tire and the first target model.

[0138] Among them, the first target model can adopt Holistically-Nested Edge Detection (HED) and Rich Convolutional Features for Edge Detection (RCF) to perform edge detection on the real-time image of the tire.

[0139] Step S502: Perform contour detection on the edge map to obtain a contour map; the contour map represents the main contour, hub contour, and logo contour of the tire.

[0140] In some embodiments, the main contour includes the outer contour of the tire, the tread contour, the sidewall contour of the tire, and the inner contour of the tire; the logo contour includes the tire logo contour and the text contour.

[0141] In some embodiments, the contour map is obtained based on the edge map and a second target algorithm.

[0142] Among them, the second target algorithm can adopt Contour Extraction Based on Edge Detection (CEBED), Hough Transform (HT), and Watershed Algorithm (WA) to obtain the contour information of the tire, including: the outer contour of the tire, the tread contour, the sidewall contour of the tire, the inner contour of the tire, the hub contour, the tire logo, and the text contour.

[0143] In some embodiments, the contour map is obtained based on the edge map and a second target model.

[0144] Among them, the second target model can adopt Mask Region-Based Convolutional Neural Network (Mask R-CNN) and U-Net to obtain the contour information in the real-time image of the tire.

[0145] Step S503: Extract features from the contour map to obtain the main features, hub features, and logo features of the tire.

[0146] In some embodiments, the main features include the outer features of the tire, the tread features, the sidewall features of the tire, and the inner features of the tire; the logo features include the tire logo features and the text features.

[0147] In some embodiments, the contour map is feature-extracted based on a third target algorithm.

[0148] Among them, the third target algorithm can adopt Scale-Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF), Histogram of Oriented Gradients (HOG) to extract features for each contour in the image after contour extraction.

[0149] In some embodiments, feature extraction is performed on the contour map based on the third target model.

[0150] Among them, the third target model can adopt Visual Geometry Group Network (VGG) and Residual Network (ResNet) to extract features for each contour in the image after contour extraction.

[0151] Step S504: Determine the standard attribute data of the tire based on the identification features of the tire, and determine the real-time attribute data of the tire based on the main body features and hub features of the tire.

[0152] In some embodiments, the standard attribute data includes standard width, standard aspect ratio, and standard hub radius, and the real-time attribute data includes real-time width and real-time aspect ratio.

[0153] In some embodiments, feature matching is performed on the identification features based on the fourth target algorithm or the fourth target model to obtain the standard width, standard aspect ratio, and standard hub radius.

[0154] In some embodiments, feature matching is performed on the main body features and hub features based on the fourth target algorithm or the fourth target model to obtain the real-time width and real-time aspect ratio.

[0155] Among them, the fourth target algorithm can include Brute-Force Matching (BFM), K-Nearest Neighbor Matching (KNNM), and Random Sample Consensus (RANSAC) to perform feature point matching on the image after feature extraction to obtain the attribute data of the tire, including: tire brand, tire type, tire standard width, tire standard aspect ratio, standard hub radius, tire level parameters, tire performance parameters, tire actual width, and tire actual aspect ratio.

[0156] Among them, the fourth target model can use a super point feature extraction and matching model (SuperPoint Feature Detection and Description, SuperPoint) and a local feature transformer (LoFTR) to perform feature point matching on the image after feature extraction to obtain the attribute data of the tire.

[0157] In an embodiment of the present application, the real-time image of the tire is processed through a target algorithm or a target model to obtain highly accurate tire attribute data; the accuracy of the subsequently generated real-time tire pressure value is improved, and no additional hardware equipment is required, thereby reducing costs and improving user experience.

[0158] An exemplary application of a tire pressure monitoring method provided in an embodiment of the present application in an actual scenario is described below.

[0159] Tires are essential parts of a car that come into contact with the road, and their air pressure directly affects the car's driving performance, safety, and economy. Too high or too low tire pressure will lead to problems such as accelerated tire wear, increased fuel consumption, extended braking distance, insensitive steering, and even serious accidents such as tire blowouts. Therefore, it is very necessary to monitor and adjust tire pressure in real time. At present, there are two main types of commonly used tire pressure monitoring systems: direct and indirect. The direct tire pressure monitoring system is to install a module containing sensors and transmitters inside each tire to directly measure and send the air pressure and temperature data inside the tire to the receiver in the car. The indirect tire pressure monitoring system is to use the vehicle's existing anti-lock braking system (ABS) or electronic stability program (ESP) sensors to indirectly calculate the tire pressure based on parameters such as tire speed or turning radius. However, although the direct system can accurately display the actual air pressure value of each tire, it has high installation costs, difficult maintenance, is susceptible to interference, and requires regular battery replacement. Although the indirect system has low installation cost, simple maintenance and no battery, its detection accuracy is low and is affected by factors such as road conditions, load changes, wheel changes, etc. Therefore, it is necessary to provide a tire pressure detection system that has the characteristics of high accuracy, low cost, easy installation, and easy maintenance.

[0160] Currently, when detecting the tire pressure of a vehicle, a photo of the current vehicle tire is obtained; the photo of the current vehicle tire is compared with the previously obtained photo of the vehicle tire, and the status of the tire pressure of the current vehicle tire is determined according to the comparison result, wherein the previously obtained photo of the vehicle tire is a photo of the vehicle tire obtained when the tire pressure of the vehicle tire is normal; the status of the tire pressure of the current vehicle tire is displayed. Among them, the tire pressure judgment basis is the radial deformation and the middle deformation of the tread of the tire. By comparing the radial deformation and the middle deformation of the tread of the tire in the photo of the current vehicle tire and the photo of the vehicle tire obtained when the tire pressure is normal, it is judged whether the tire pressure is normal and the tire pressure status is determined. There is still a problem of low accuracy.

[0161] In addition, the shape of the tire is recognized based on the obtained thermal image, and the tire pressure is monitored based on the recognized shape of the tire. In addition, the temperature of the tire is detected based on the obtained thermal image, and the tire pressure is monitored based on the detected temperature; it requires adding an omnidirectional camera outside the vehicle, increasing the cost, and the basis for judging the tire pressure status is the deformation and temperature of the tire image. There are still problems of high cost and insufficient accuracy.

[0162] In view of the above problems, the present application provides a camera-based tire pressure monitoring method. The system uses a camera to collect the shape change of the tire, and calculates the air pressure value of the tire through image processing technology as the first air pressure value. The first air pressure value is compared with the set standard air pressure value. When the difference is less than the preset threshold, the tire pressure is normal, and the first air pressure value is used as the target tire pressure value of the tire and input to the display. When the difference is greater than the preset threshold, the tire pressure is abnormal, and a prompt is provided to the driver through the display and the alarm.

[0163] In some embodiments, in order to implement the above technical solution, the present application provides a camera-based tire pressure monitoring system. Figure 6Schematic diagram of a tire pressure monitoring system based on a camera provided by an embodiment of the present application; including a first image acquisition module 601, a second image acquisition module 602, a first image processor 603, a second image processor 604, a cloud database 605, a tire pressure calculation module 606, a decision control module 607, a display 608, and an alarm 609. Among them, the first image acquisition module 601 and the first image processor 603, and the second image acquisition module 602 and the second image processor 604 are connected by wired or wireless means. The first image processor 603 and the second image processor 604 are respectively connected to the cloud database 605 by wireless means. The first image processor 603 and the second image processor 604 are respectively connected to the tire pressure calculation module 606 by wired or wireless means. The tire pressure calculation module 606 and the decision control module 607 are connected by wired or wireless means. The display 608 and the alarm 609 are respectively connected to the decision control module 607 by wired or wireless means.

[0164] Among them, the first image acquisition module 601 is used to collect tire images in real time; the second image processing module 602 is used to collect in-vehicle images in real time; the first image processor 603 is used to perform operations such as preprocessing, edge detection, contour extraction, and feature point matching on the tire images, and convert the image data into tire data; the second image processor 604 is used to perform operations such as preprocessing, edge detection, contour extraction, and feature point matching on the in-vehicle images, and convert the image data into passenger data; the cloud database 605 is used to match the tire pressure deformation parameters in the current state based on the tire data and the in-vehicle passenger data; the tire pressure calculation module 606 is used to calculate the current tire pressure value based on the tire deformation data and the tire pressure deformation parameters; the decision control module 607 is used to compare the calculated tire pressure value with the set standard value to determine whether there is abnormal air pressure in the tire, and control the working states of the display 608 and the alarm 609 according to the comparison result; the display 608 is used to display the air pressure value of each tire or an abnormal prompt; the alarm 609 is used to emit a sound and light signal to alarm the driver when the tire air pressure is abnormal.

[0165] Figure 7 Schematic diagram of the implementation process of a tire pressure monitoring method provided by an embodiment of the present application. This process includes steps S701 to S707, which will be described in combination with Figure 7 the steps shown.

[0166] Step S701: Obtain tire images and in-vehicle images.

[0167] In some embodiments, tire images and in-vehicle images are obtained based on cameras arranged inside and outside the vehicle.

[0168] Step S702: Preprocess the tire image and the in-vehicle image.

[0169] In some embodiments, denoising, grayscale conversion, and histogram equalization are performed on the tire image and the in-vehicle image to improve the image quality and contrast.

[0170] Step S703: Obtain the feature point information in the tire image.

[0171] In some embodiments, first, the Canny algorithm is used to perform edge detection on the preprocessed image to extract the edge information of the tire, including: the outer edge of the tire, the edge of the tire tread, the edge of the tire sidewall, the inner edge of the tire, the edge of the wheel hub, the tire logo, and the text edge; second, the Hough transform is used to perform contour extraction on the edge-detected image to obtain the contour information of the tire, including: the outer contour of the tire, the contour of the tire tread, the contour of the tire sidewall, the inner contour of the tire, the contour of the wheel hub, the tire logo, and the text contour; finally, the SIFT algorithm is used to perform feature point matching on the contour-extracted image to obtain the feature point information of the tire. Among them, the feature point information includes: the tire brand, the tire type, the standard width of the tire, the standard aspect ratio of the tire, the standard radius of the wheel hub, the tire grade parameters, the tire performance parameters, the actual width of the tire, and the actual aspect ratio of the tire.

[0172] Step S704: Obtain the in-vehicle data in the in-vehicle image.

[0173] In some embodiments, identify and obtain the number of people in the vehicle.

[0174] Step S705: Obtain the tire pressure data from the cloud database based on the feature point information and the in-vehicle data.

[0175] In some embodiments, the tire brand, the tire type, the standard width of the tire, the standard aspect ratio of the tire, the standard radius of the wheel hub, the tire grade parameters, the tire performance parameters, and the number of people in the vehicle are input into the cloud database, and the tire pressure change rate and the standard tire pressure value corresponding to the unit deformation in the current scenario are matched from the cloud database.

[0176] Step S706: Obtain the tire volume deformation based on the tire pressure data and the feature point information.

[0177] In some embodiments, first, the tire deformation value is calculated based on the standard width of the tire, the standard aspect ratio of the tire, the actual width of the tire, the actual aspect ratio of the tire, and the standard radius of the wheel hub. Second, the current tire pressure value is calculated based on the standard width of the tire, the standard aspect ratio of the tire, the standard radius of the wheel hub, the tire pressure change rate, the standard tire pressure value, and the tire deformation value. Among them, the calculation process refers to the above formulas (1) to (6).

[0178] Step S707: Compare the tire pressure value with the set standard value to obtain a comparison result.

[0179] In some embodiments, when the comparison result indicates that the tire pressure value is lower or higher than the set standard value, control the display to show corresponding abnormal prompts, such as "The pressure of the front left wheel is too low, please inflate in time" or "The pressure of the rear right wheel is too high, please deflate in time", etc.; at the same time, control the alarm to emit a sound and light signal to remind the driver to pay attention.

[0180] In some embodiments, when the comparison result indicates that the tire pressure value is within the standard value range, display the actual pressure value of each tire, such as "The pressure of the front left wheel is 2.5 bar" or "The pressure of the rear right wheel is 2.7 bar", etc.; at the same time, control the alarm to remain silent and not emit any signal.

[0181] In the embodiments of the present application, the shape change of the tire is captured in real time by a camera, the tire pressure value is calculated using a visual recognition algorithm, and compared with the set standard value. When the difference is greater than the threshold, the tire pressure abnormality provides a prompt to the driver through the display and the alarm, thereby improving driving safety.

[0182] In the embodiments of the present application, there is no need to install additional devices such as sensors and transmitters inside the tire, which reduces the hardware cost, installation cost and maintenance difficulty, and at the same time avoids problems such as battery depletion and signal interference.

[0183] In the embodiments of the present application, the actual pressure value of each tire can be accurately displayed, unaffected by factors such as road conditions, load changes, and wheel replacement, improving the detection accuracy and reliability.

[0184] Figure 8 It is a schematic structural diagram of a tire pressure monitoring device provided by an embodiment of the present application, as Figure 8 shown, the tire pressure monitoring device 800 includes: a first acquisition module 801, a second acquisition module 802, a first generation module 803, and a second generation module 804, wherein: the first acquisition module 801 is used to acquire the attribute data of the tire based on the real-time image of the tire; the second acquisition module 802 is used to acquire the target tire pressure change rate and the standard tire pressure value of the tire based on the attribute data and the real-time number of people in the vehicle; wherein, the tire pressure change rate characterizes the change degree of the tire pressure of the tire under different tire pressure influencing factors relative to the standard tire pressure value per unit volume; the first generation module 803 is used to generate the tire pressure change value of the tire based on the attribute data and the target tire pressure change rate; the second generation module 804 is used to generate the real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value.

[0185] In some embodiments, the attribute data includes standard attribute data and real-time attribute data. The first generation module 803 is further configured to generate the deformation amount of the tire based on the standard attribute data and the real-time attribute data; and generate the tire pressure change value based on the deformation amount, the target tire pressure change rate, and the standard attribute data.

[0186] In some embodiments, the standard attribute data includes the standard width, the standard aspect ratio, and the standard radius of the wheel hub. The first generation module 803 is further configured to determine the standard volume of the tire based on the standard width, the standard aspect ratio, and the standard radius of the wheel hub; determine the volume change rate of the tire based on the quotient of the deformation amount of the tire and the standard volume; and determine the product of the volume change rate, the target tire pressure change rate, and the standard tire pressure value as the tire pressure change value.

[0187] In some embodiments, the attribute data includes real-time attribute data, and the real-time attribute data includes the real-time width and the real-time aspect ratio. The first generation module 803 determines the real-time volume of the tire based on the real-time width, the real-time aspect ratio, and the standard radius of the wheel hub; and determines the deformation amount of the tire based on the standard volume and the real-time volume.

[0188] In some embodiments, the generation module 804 is further configured to generate a detection result for the tire pressure based on the real-time tire pressure value and a preset tire pressure range.

[0189] In some embodiments, the second generation module 804 is further configured to determine that the detection result of the tire pressure is normal tire pressure when the real-time tire pressure value falls within the preset tire pressure range; and determine that the detection result of the tire pressure is abnormal tire pressure when the real-time tire pressure value does not fall within the preset tire pressure range.

[0190] In some embodiments, the second generation module 804 is further configured to generate a warning message when the real-time tire pressure value does not fall within the preset tire pressure range.

[0191] In some embodiments, the attribute data includes the standard attribute data and the real-time attribute data of the tire; the first acquisition module 801 is further configured to perform edge detection on the real-time image to obtain an edge map, where the edge map represents the main body edge, the wheel hub edge, and the identification edge of the tire; perform contour detection on the edge map to obtain a contour map; the contour map represents the main body contour, the wheel hub contour, and the identification contour of the tire; perform feature extraction on the contour map to obtain the main body feature, the wheel hub feature, and the identification feature of the tire; determine the standard attribute data of the tire based on the identification feature of the tire, and determine the real-time attribute data of the tire based on the main body feature and the wheel hub feature of the tire.

[0192] The description of the above device embodiments is similar to that of the method embodiments, and has beneficial effects similar to those of the same method embodiments. In some embodiments, the functions or modules included in the device provided in the embodiments of the present application can be used to execute the methods described in the method embodiments. For the technical details not disclosed in the device embodiments of the present application, please refer to the description of the method embodiments of the present application for understanding.

[0193] A vehicle provided in an embodiment of the present application includes an image acquisition unit, a memory, and a processor. The image acquisition unit is configured to acquire real-time images of the tires of the vehicle; the memory is used to store a computer program; the processor is configured to execute the computer program stored in the memory to implement the above method.

[0194] A computer-readable storage medium provided in an embodiment of the present application stores a computer program, and when the computer program is run by a processor, the above method is implemented. The computer-readable storage medium can be transient or non-transient.

[0195] It should be noted that in the embodiments of the present application, if the above method is implemented in the form of software function modules and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present application, in essence, or the part that contributes to the related art can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for executing all or part of the above methods of the various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), magnetic disks, or optical discs that can store program codes. Thus, the embodiments of the present application are not limited to any specific hardware, software, or firmware, or any combination of hardware, software, and firmware.

[0196] An embodiment of the present application provides a computer program, including computer-readable code. When the computer-readable code runs in the computer program, the processor executes to implement some or all of the steps in the above method.

[0197] An embodiment of the present application provides a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program. When the computer program is read and executed by a computer, some or all of the steps in the above method are implemented. The computer program product can be specifically implemented in a manner of hardware, software, or a combination thereof. In some embodiments, the computer program product is specifically embodied as a computer storage medium. In other embodiments, the computer program product is specifically embodied as a software product, such as a Software Development Kit (SDK), etc.

[0198] It should be noted here that the descriptions of the above embodiments tend to emphasize the differences between the embodiments, and their similarities can be referred to each other. The descriptions of the above embodiments of the device, storage medium, computer program, and computer program product are similar to the descriptions of the above method embodiments and have similar beneficial effects to the method embodiments. For the technical details not disclosed in the embodiments of the device, storage medium, computer program, and computer program product of the present application, please refer to the descriptions of the method embodiments of the present application for understanding.

[0199] An embodiment of the present application provides a vehicle, as Figure 9 shown. The hardware entities of the vehicle 900 include: a processor 901, a communication interface 902, a memory 903, a bus 904, and an image acquisition unit 905, where:

[0200] The processor 901 generally controls the overall operation of the vehicle 900.

[0201] The communication interface 902 enables the vehicle 900 to communicate with other terminals or servers through a network.

[0202] The memory 903 is configured to store instructions and applications executable by the processor 901, and can also cache data to be processed or already processed by the processor 901 and each module in the vehicle 900 (for example, image data, audio data, voice communication data, and video communication data), and can be implemented by flash memory (FLASH) or random access memory (Random Access Memory, RAM). Data transmission can be performed between the processor 901, the communication interface 902, and the memory 903 through the bus 904.

[0203] The image acquisition unit 905 is used to acquire real-time images of the tires of the vehicle 900.

[0204] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification represents that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the "in one embodiment" or "in an embodiment" that appears throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the magnitude of the sequence numbers of the above steps / processes does not represent the sequence of execution, and the execution sequence of each step / process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The sequence numbers of the embodiments of the present application above are only for description and do not represent the advantages or disadvantages of the embodiments.

[0205] It should be noted that in this text, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including such element.

[0206] In several embodiments provided in the present application, it should be understood that the disclosed devices, equipment and methods can be implemented in other ways. The device and equipment embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling or communication connection between the components shown or discussed with each other can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0207] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0208] In addition, each functional unit in the embodiments of the present application can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in one unit; the above integrated unit can be implemented in the form of hardware, or in the form of a hardware plus software functional unit.

[0209] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including those of the above method embodiments; and the foregoing storage medium includes: various media that can store program codes such as removable storage devices, read-only memories (ROMs), magnetic disks, or optical discs.

[0210] Alternatively, if the above integrated units of the present application are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence or the part that contributes to the related art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a device to execute all or part of the methods described in the various embodiments of the present application. And the foregoing storage medium includes: various media that can store program codes such as removable storage devices, ROMs, magnetic disks, or optical discs.

[0211] As described above, only the embodiments of the present application are provided, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application.

Claims

1. A tire pressure monitoring method, characterized in that, Applied to a vehicle, including: Obtaining attribute data of the tire based on a real-time image of the tire; Obtaining a target tire pressure change rate and a standard tire pressure value of the tire based on the attribute data and the real-time number of passengers in the vehicle; wherein, the tire pressure change rate characterizes the degree of change of the tire pressure of the tire under different tire pressure influencing factors relative to the standard tire pressure value per unit volume; Generating a tire pressure change value of the tire based on the attribute data and the target tire pressure change rate; Generating a real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value.

2. The method according to claim 1, characterized in that, The attribute data includes standard attribute data and real-time attribute data, and the generating the tire pressure change value of the tire based on the attribute data and the target tire pressure change rate includes: Generating a deformation amount of the tire based on the standard attribute data and the real-time attribute data; Generating the tire pressure change value based on the deformation amount of the tire, the target tire pressure change rate, and the standard attribute data.

3. The method according to claim 2, wherein The standard attribute data includes a standard width, a standard aspect ratio, and a standard radius of the wheel hub, and the generating the tire pressure change value based on the deformation amount of the tire, the target tire pressure change rate, and the standard attribute data includes: Determining a standard volume of the tire based on the standard width, the standard aspect ratio, and the standard radius of the wheel hub; Determining a volume change rate of the tire based on the quotient of the deformation amount of the tire and the standard volume; Determining the product of the volume change rate, the tire pressure change rate, and the standard tire pressure value as the tire pressure change value.

4. The method according to claim 3, characterized in that, The real-time attribute data includes a real-time width and a real-time aspect ratio, and the generating the deformation amount of the tire based on the standard attribute data and the real-time attribute data includes: Determining a real-time volume of the tire based on the real-time width, the real-time aspect ratio, and the standard radius of the wheel hub; Determining the deformation amount of the tire based on the standard volume and the real-time volume.

5. The method according to any one of claims 1 to 4, characterized in that, The method further includes: Generating a detection result for the tire pressure based on the real-time tire pressure value and a preset tire pressure range.

6. The method according to claim 4, wherein The generating the detection result for the tire pressure based on the real-time tire pressure value and the preset tire pressure range includes at least one of the following: When the real-time tire pressure value falls within the preset tire pressure range, determining that the detection result of the tire pressure is normal tire pressure; When the real-time tire pressure value does not fall within the preset tire pressure range, determining that the detection result of the tire pressure is abnormal tire pressure.

7. The method according to any one of claims 1 to 4, characterized in that The attribute data includes the standard attribute data and the real-time attribute data of the tire; the obtaining the attribute data of the tire based on the real-time image of the tire includes: Performing edge detection on the real-time image to obtain an edge map, and the edge map characterizes the main body edge, the wheel hub edge, and the identification edge of the tire; Performing contour detection on the edge map to obtain a contour map; the contour map characterizes the main body contour, the wheel hub contour, and the identification contour of the tire; Performing feature extraction on the contour map to obtain the main body feature, the wheel hub feature, and the identification feature of the tire; Determine the standard attribute data of the tire based on the identification features of the tire, and determine the real-time attribute data of the tire based on the main features and hub features of the tire.

8. A tire pressure monitoring device, characterized in that, Applied to a vehicle, the device includes: A first acquisition module, configured to acquire the attribute data of the tire based on the real-time image of the tire; A second acquisition module, configured to acquire the target tire pressure change rate and the standard tire pressure value of the tire based on the attribute data and the real-time number of passengers in the vehicle; wherein, the tire pressure change rate characterizes the degree of change of the tire pressure of the tire under different tire pressure influencing factors relative to the standard tire pressure value per unit volume; A first generation module, configured to generate a tire pressure change value of the tire based on the attribute data and the target tire pressure change rate; A second generation module, configured to generate a real-time tire pressure value of the tire based on the tire pressure change value and the standard tire pressure value.

9. A vehicle, comprising an image acquisition unit, a memory, and a processor, The image acquisition unit is configured to acquire a real-time image of the tire of the vehicle; The memory stores a computer program that can run on a processor, characterized in that, When the processor executes the program, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

Citation Information

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