An automatic parking optimization assistance method, system, device and readable storage medium

Abstract

The application discloses an automatic parking optimization auxiliary method, system, device and readable storage medium, and the method comprises the following steps: acquiring tire pressure data and wheel rolling radius of a current vehicle in real time, and constructing a rolling radius-tire pressure mapping table according to the tire pressure data and the wheel rolling radius; acquiring parking big data of the vehicle under different tire pressure conditions; determining parking law information according to the rolling radius-tire pressure mapping table and the parking big data; screening parking space recognition information, determining positioning track information of the current vehicle according to the parking space recognition information and the parking law information, and completing automatic parking according to the positioning track information. The application solves the technical problem that the prior art cannot establish the connection between tire pressure and parking performance, so that the driver will produce parking positioning track errors caused by tire pressure when parking, and the parking performance is affected.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of automatic parking of vehicles, and particularly relates to an automatic parking optimization auxiliary method, system, device and readable storage medium. BACKGROUND

[0002] Intelligent parking technology involves information engineering, control science and engineering, computer science, automotive engineering, mathematical science, neuroscience, cognitive science, complex system and complex science and many other disciplines, and is an important symbol for measuring the scientific research strength and industrial level of a country. The emergence of intelligent parking fundamentally changes the traditional vehicle parking mode, liberates the driver from the "vehicle-road-person" closed loop system, controls the vehicle driving by using advanced electronic and information technology, automatically completes the conventional, persistent and tiring operation in driving activities, and only makes high-level purpose operation, which can greatly improve the efficiency and safety of the traffic system and has wide social application value.

[0003] Abnormal problems of vehicle tires are the most difficult problems for all drivers to prevent, and the change of tire pressure will also have a great impact on the parking performance of the vehicle, resulting in an increase in parking failure rate and a decrease in qualified rate.

[0004] At present, few patents related to parking optimization consider the influence of tire pressure on parking performance. A tire pressure monitoring and auxiliary parking compatible display device provides a tire pressure monitoring and auxiliary parking compatible display device, but the scheme can only display the change of tire pressure value and cannot establish the connection between tire pressure and parking performance to optimize the parking performance.

[0005] In summary, the prior art has the technical problem that the connection between tire pressure and parking performance cannot be established, resulting in parking positioning trajectory error caused by tire pressure when the driver parks, which affects the parking performance. SUMMARY

[0006] In order to solve the above technical problems, the present application provides an automatic parking optimization auxiliary method, system, device and readable storage medium, which solves the technical problem that the connection between tire pressure and parking performance cannot be established in the prior art, resulting in parking positioning trajectory error caused by tire pressure when the driver parks, which affects the parking performance, and takes into account the characteristics of intelligence, safety and practicality.

[0007] In a first aspect, the embodiments of the present application provide the following technical solution, an automatic parking optimization auxiliary method, comprising:

[0008] real-time acquisition of tire pressure data and wheel rolling radius of a current vehicle, and construction of a rolling radius-tire pressure mapping table according to the tire pressure data and the wheel rolling radius;

[0009] Obtain parking big data of the vehicle under different tire pressure conditions of the vehicle;

[0010] According to the rolling radius-tire pressure mapping table and the parking big data, determine parking rule information;

[0011] Screen parking space recognition information collected by a camera of the current vehicle, and determine positioning track information of the current vehicle according to the parking space recognition information and the parking rule information, and complete automatic parking according to the positioning track information.

[0012] According to the above technical means, the application can establish a connection between different tire pressures and parking performance, adjust and avoid parking positioning track errors caused by tire pressure, and in actual use, the user can automatically adjust the parking positioning track according to the change of the tire pressure, optimize the parking performance, reduce the parking failure rate, and improve the parking qualification rate.

[0013] Preferably, before the step of obtaining tire pressure data and rolling radius of the current vehicle according to the tire pressure data and the rolling radius of the vehicle, the method further comprises:

[0014] Obtain a transmission ratio of a vehicle drive train of the current vehicle, and calculate the rolling radius of the vehicle according to the transmission ratio.

[0015] Preferably, after the step of obtaining a transmission ratio of a vehicle drive train of the current vehicle, and calculating the rolling radius of the vehicle according to the transmission ratio, the method further comprises:

[0016] When any tire pressure data of the current vehicle is not within a preset tire pressure range, output fault information.

[0017] Preferably, the step of obtaining parking big data of the vehicle under different tire pressure conditions of the vehicle comprises:

[0018] Obtain first parking test data of the vehicle under different tire pressure conditions of the vehicle, and obtain second parking test data of the vehicle under different rolling radius conditions of the vehicle according to the rolling radius-tire pressure mapping table and the first parking test data, so as to obtain the parking big data.

[0019] In a second aspect, the embodiments of the application provide the following technical scheme, an automatic parking optimization auxiliary system, the system comprises:

[0020] A processing module is configured to obtain a rolling radius-tire pressure mapping table according to tire pressure and rolling radius of the vehicle;

[0021] The first obtaining module is configured to obtain parking big data of the vehicle under different tire pressures and different rolling radii of the wheels during parking tests.

[0022] The rule determining module is configured to determine parking rule information according to the rolling radius-tire pressure mapping table and the parking big data.

[0023] The trajectory determining module is configured to screen parking space recognition information collected by the camera, and determine vehicle positioning trajectory information according to the screened parking space recognition information and the parking rule information, so as to complete automatic parking.

[0024] Preferably, the system further comprises:

[0025] The second obtaining module is configured to obtain tire pressures of the wheels of the vehicle and a transmission ratio of a powertrain of the vehicle, and calculate the rolling radii of the wheels according to the transmission ratio of the powertrain of the vehicle.

[0026] Preferably, the system further comprises:

[0027] The display reminding module is configured to perform display reminding when the tire pressure of the vehicle is higher than an upper limit of a preset tire pressure range or lower than a lower limit of the preset tire pressure range.

[0028] Preferably, the first obtaining module comprises:

[0029] The obtaining unit is configured to obtain first parking test data of the current vehicle under different tire pressures of the wheels during parking tests.

[0030] The calculating unit is configured to obtain second parking test data of the current vehicle under different rolling radii of the wheels according to the rolling radius-tire pressure mapping table and the first parking test data, so as to obtain the parking big data.

[0031] In a third aspect, an embodiment of the present application provides the following technical solution: a computer device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the automatic parking optimization auxiliary method described above when executing the computer program.

[0032] In a fourth aspect, an embodiment of the present application provides the following technical solution: a readable storage medium, the readable storage medium stores a computer program, and the computer program is executed by a processor to implement the automatic parking optimization auxiliary method described above.

[0033] The automatic parking optimization auxiliary method, system, device and readable storage medium provided by the embodiment of the application can establish the relationship between different tire pressures and parking performance, adjust and avoid the parking positioning track error caused by tire pressure, and automatically adjust the parking positioning track according to the change of tire pressure, optimize the parking performance, reduce the parking failure rate and improve the parking qualification rate in actual use. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0035] Figure 1 The structural diagram of the tire pressure monitoring system provided by the embodiment of the present application is shown in the figure.

[0036] Figure 2 The flow of the automatic parking optimization auxiliary method provided by the embodiment of the present application is shown in the figure. Figure 1

[0037] Figure 3 The flow of the automatic parking optimization auxiliary method provided by the embodiment of the present application is shown in the figure. Figure 2

[0038] Figure 4 The structural block of the automatic parking optimization auxiliary system provided by the embodiment of the present application is shown in the figure. Figure 1

[0039] Figure 2 The structural block of the automatic parking optimization auxiliary system provided by the embodiment of the present application is shown in the figure. Figure 6

[0040] Figure 1 The hardware structure schematic diagram of the computer device provided in the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0041] The embodiments of the present application are described in detail below, and the examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the embodiments of the present application, and cannot be understood as a limitation of the present application.

[0042] ​​​​In the description of the embodiments of the present application, it should be understood that the terms "length", "width", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings based on the orientation or positional relationship shown in the drawings, and are only for the purpose of facilitating the description of the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0043] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly specified and limited.

[0044] In the embodiments of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above-mentioned terms in the embodiments of the present application can be understood according to the specific circumstances.

[0045] Embodiment one

[0046] As shown in Figure 1 The automatic parking optimization auxiliary method in the present embodiment is applied to a tire pressure monitoring system as shown in Figure 2 The tire pressure monitoring system comprises a tire pressure sensor, an ABS system and a body controller BCM. The tire pressure sensor is arranged in each tire of the vehicle, and the body controller BCM in communication with the tire pressure sensor is in communication with the ABS system. The tire pressure sensor detects the tire pressure value of the tire where the tire pressure sensor is installed and sends it to the body controller BCM. The ABS detects the rolling radius of the tire where the tire pressure sensor is installed and sends it to the body controller BCM. The ABS system can also be an electronic stability system ESP.

[0047] Specifically, the vehicle tires specifically include a left front wheel 1, a right front wheel 4, a left rear wheel 5 and a right rear wheel 8, and the tire pressure sensors specifically include a left front tire pressure sensor 2, a right front tire pressure sensor 3, a left rear tire pressure sensor 6 and a right rear tire pressure sensor 8, wherein the tire pressure sensors are respectively mounted on the hubs of the tires, for example, the tire pressure value of the left front wheel 1 is directly collected by the left front tire pressure sensor 2 and is sent out through a wireless radio frequency signal, and the wireless radio frequency signal receiving circuit integrated on the body controller BCM receives the signal and analyzes the real-time accurate tire pressure value sent out by the tire pressure sensor according to the corresponding protocol.

[0048] As shown in Figure 3 The first embodiment of the present application provides the following technical scheme, an automatic parking optimization auxiliary method, comprising:

[0049] S101, real-time acquisition of tire pressure data and wheel rolling radius of the current vehicle, and construction of a rolling radius-tire pressure mapping table according to the tire pressure data and the wheel rolling radius.

[0050] The rolling radius-tire pressure mapping table represents the correlation between the tire pressure of the vehicle wheel and the rolling radius of the vehicle, and the tire pressure of the wheel can be directly correlated with the rolling radius of the vehicle, within a certain range, the higher the tire pressure of the vehicle wheel, the larger the rolling radius of the vehicle, and the lower the tire pressure of the vehicle wheel, the smaller the rolling radius of the vehicle, and the small rolling radius and low tire pressure will directly affect the positioning trajectory of the parked vehicle.

[0051] Meanwhile, in step S101, the rolling radius-tire pressure mapping table is expressed as a functional relationship between the tire pressure of the wheel and the rolling radius of the wheel, and within a certain range, the tire pressure of the wheel is proportional to the rolling radius of the wheel, by obtaining and obtaining the rolling radius-tire pressure mapping table, the correlation between the tire pressure and the parking travel distance of the vehicle can be further determined, since the parking travel distance of the vehicle is equal to the product of the square of the rolling radius and π, and according to the rolling radius-tire pressure mapping table, the correlation between the tire pressure and the rolling radius of the wheel can be obtained, thus the correlation between the tire pressure and the parking travel distance of the vehicle can be obtained, and the change of the tire pressure will affect the change of the rolling radius, and the rolling radius will directly affect the movement trajectory of the parking positioning planning, and then affect the final attitude of the parking, therefore, it is necessary to establish a mapping table between different tire pressure and rolling radius, and to adjust and avoid the parking positioning trajectory error caused by tire pressure.

[0052] In this step, the tire pressure data and the wheel rolling radius of the current vehicle are obtained in real time, and the information of the tire pressure data and the wheel rolling radius is obtained through the ABS system and the tire pressure sensor in China, and then the obtained tire pressure data and the wheel rolling radius are sent to the body controller BCM to complete the construction of the rolling radius-tire pressure mapping table.

[0053] S102, acquire first parking test data of the vehicle under different tire pressure conditions of the vehicle, and acquire second parking test data of the vehicle under different rolling radius conditions of the vehicle according to the rolling radius-tire pressure mapping table and the first parking test data, to obtain the parking big data.

[0054] Specifically, a plurality of same vehicles are taken as experimental products, the tire pressure of each vehicle is controlled in turn, so that the tire pressure of each vehicle is distributed in an arithmetic sequence, and then the parking test of each vehicle is carried out in turn, the parking trajectory of each vehicle under the corresponding tire pressure is tested, and the parking trajectory of the vehicle under different tire pressure conditions is obtained, and the parking big data is represented as including the parking trajectory of each vehicle under different tire pressure conditions in the experiment.

[0055] S103, determine the parking rule information according to the rolling radius-tire pressure mapping table and the parking big data.

[0056] Specifically, when the parking big data represented as including the parking trajectory of each vehicle under different tire pressure conditions in the experiment is obtained, the parking big data is directly related to the tire pressure of the vehicle, but the specific parking trajectory and the distance are generally directly embodied by the rolling radius of the vehicle, and since the rolling radius-tire pressure mapping table can represent the correlation between the rolling radius and the tire pressure, the parking rule information representing the rolling radius of the vehicle and the parking trajectory of the vehicle can be determined according to the rolling radius-tire pressure mapping table combined with the parking big data representing the correlation between the tire pressure and the parking trajectory.

[0057] The parking rule information can represent the corresponding relationship between different rolling radii of the vehicle and different parking trajectories, that is, the parking trajectory corresponding to the rolling radius of the vehicle can be found according to the parking rule information when the automatic parking is performed, so as to assist in optimizing the performance of the automatic parking and completing the automatic parking.

[0058] S104, screen the parking space recognition information collected by the camera of the current vehicle, determine the positioning trajectory information of the current vehicle according to the parking space recognition information and the parking rule information, and complete the automatic parking according to the positioning trajectory information.

[0059] Specifically, before the automatic parking, the information of the parking space needs to be collected by the camera of the vehicle, and the position of the parking space is determined, and according to the corresponding relationship between the rolling radius of the vehicle and the parking trajectory represented by the parking rule information, the parking trajectory of the vehicle under the current rolling radius of the vehicle can be determined, which can also be represented as the parking trajectory of the vehicle under the current tire pressure of the vehicle, and the automatic parking is completed.

[0060] In this step, the camera of the current vehicle is controlled to run and collect parking space recognition information by the body controller BCM, and the collected parking space recognition information is sent to the body controller BCM to complete the determination of the positioning track information of the vehicle and complete the automatic parking process.

[0061] Through the above steps, an automatic parking optimization auxiliary method is provided, in which parking regularity information is obtained through parking big data and a rolling radius-tire pressure mapping table, the relationship between different tire pressures and parking regularity is established, and parking positioning track errors caused by tire pressure are avoided through adjustment, so that the parking performance is optimized.

[0062] Further, in the embodiment, the step S102 comprises:

[0063] The first parking test data of the vehicle under different tire pressure conditions is obtained, and the second parking test data of the vehicle under different tire rolling radius conditions is obtained according to the rolling radius-tire pressure mapping table, so as to obtain the parking big data.

[0064] Since the first parking data representing different tire pressures and parking tracks has been obtained under different tire pressure conditions, and since the rolling radius-tire pressure mapping table represents the correlation between tire rolling radius and tire pressure, the second parking data representing different tire rolling radius and parking tracks can be obtained, and the parking big data represents the corresponding relationship between tire rolling radius, tire pressure and parking track.

[0065] Embodiment two

[0066] The second embodiment of the present application provides an automatic parking optimization auxiliary method, as shown in the figure, in the embodiment, the method comprises: Figure 4 As shown in the figure, in the embodiment, the method comprises:

[0067] S201, obtaining the transmission ratio of the vehicle drive train of the current vehicle, and calculating the tire rolling radius of the current vehicle according to the transmission ratio;

[0068] S202, when any tire pressure data of the current vehicle is not within the preset tire pressure range, outputting fault information;

[0069] S203, obtaining the tire pressure data and the tire rolling radius of the current vehicle in real time, and constructing a rolling radius-tire pressure mapping table according to the tire pressure data and the tire rolling radius;

[0070] S204, obtaining parking big data of the vehicle under different tire pressure conditions;

[0071] In the embodiment of the present application, the method for obtaining parking big data can be the same as that in the first embodiment. The parking big data corresponding to different tire pressures of vehicle wheels is obtained through parking tests on vehicles with different tire pressures, wherein the parking big data is the parking trajectory corresponding to different tire pressures of vehicle wheels.

[0072] In S205, the parking regularity information is determined according to the rolling radius-tire pressure mapping table and the parking big data.

[0073] In the embodiment of the present application, the rolling radius-tire pressure mapping table can be used to obtain the rolling radius corresponding to different tire pressures, and the parking trajectory corresponding to different tire pressures of vehicle wheels in the parking big data is converted into the parking trajectory corresponding to different rolling radii, so as to obtain the parking regularity information.

[0074] In S206, the parking space recognition information collected by the camera of the current vehicle is screened, the positioning trajectory information of the current vehicle is determined according to the parking space recognition information and the parking regularity information, and the automatic parking is completed according to the positioning trajectory information.

[0075] The difference between the present embodiment and the first embodiment is that:

[0076] In S201, the real-time tire pressure of each tire of the vehicle is detected by setting a tire pressure sensor on each tire of the vehicle, and the transmission ratio of the transmission system of the vehicle is detected by the ABS system or the ESP, and the real-time rolling radius of each tire is calculated according to the transmission ratio.

[0077] In S202, when the tire pressure of the vehicle is higher than the upper limit of the preset tire pressure range, the friction and adhesion of the tire will be reduced, the braking effect will be affected, the steering wheel will vibrate and deviate, the comfort of driving will be reduced, the local pattern of the central part of the tire tread will be worn, the service life of the tire will be reduced, the vibration of the vehicle body will be increased, which will indirectly affect the service life of other parts, the tire cord will be stretched and deformed, the elasticity of the tire body will be reduced, the load on the vehicle during driving will be increased, and the skid resistance will be reduced. When encountering sharp objects such as nails and glass on the road surface, it is easy to pierce into the tire, and the impact will cause internal cracks and explosions, resulting in tire burst.

[0078] At the same time, when the vehicle's tire pressure falls below the lower limit of the preset tire pressure range, the friction coefficient between the tire and the road will increase, fuel consumption will increase, the steering wheel will feel heavy, easy to deviate, and other factors that are detrimental to driving safety. The amount of movement of various parts of the tire will increase, and excessive rolling will cause abnormal heating of the tire. The function of the tire cord and rubber will be reduced, causing delamination or cord breakage, resulting in excessive friction between the tire and the rim, causing damage to the bead area and abnormal wear. The friction between the tire and the road will increase exponentially, the tire temperature will rise sharply, the tire will become soft, and the strength will drop sharply. Driving at high speeds may cause a tire blowout. Excessive low tire pressure will increase tire deformation and easily crack the sidewall. It will also cause flexion movement, resulting in excessive heating, causing rubber aging, cord layer fatigue, cord breakage, and the tire's contact patch will increase, accelerating shoulder wear. Therefore, to ensure normal driving and parking of the vehicle, it is necessary to ensure that the vehicle's real-time tire pressure is within the preset tire pressure range.

[0079] Example 3

[0080] like Figure 5 As shown, the third embodiment of the present invention provides the following technical solution, an automatic parking optimization assistance system, the system comprising:

[0081] The processing module 101 is configured to obtain a rolling radius-tire pressure mapping table based on the tire pressure and the wheel rolling radius of the vehicle;

[0082] The first acquisition module 102 is used to acquire parking big data of a vehicle during a parking test under different tire pressures and different wheel rolling radius conditions;

[0083] a pattern determination module 103, configured to determine parking pattern information based on the rolling radius-tire pressure mapping table and the parking big data;

[0084] The trajectory determination module 104 is used to filter the parking space identification information collected by the camera and determine the vehicle positioning trajectory information based on the filtered parking space identification information and the parking pattern information to complete automatic parking;

[0085] Furthermore, in this embodiment, the first obtaining module 104 further includes:

[0086] an acquiring unit, configured to acquire first parking test data of a vehicle subjected to a parking test under different tire pressure conditions;

[0087] A calculation unit is used to obtain second parking test data of the vehicle under different wheel rolling radius conditions according to the rolling radius-tire pressure mapping table to obtain the parking big data

[0088] Example 4

[0089] like Figure 6As shown, the fourth embodiment of the present application provides the following technical scheme, an automatic parking optimization auxiliary system, the system comprises:

[0090] The second acquisition module 201 acquires the tire pressure of the vehicle and the transmission ratio of the vehicle transmission system, and calculates the rolling radius of the vehicle wheel according to the transmission ratio of the vehicle transmission system;

[0091] The display reminding module 202 performs display reminding when the tire pressure of the vehicle is higher than the upper limit of the preset tire pressure range or lower than the lower limit of the preset tire pressure range.

[0092] The processing module 101 is configured to obtain a rolling radius-tire pressure mapping table according to the tire pressure of the vehicle and the rolling radius of the vehicle wheel.

[0093] The first acquisition module 102 is configured to acquire parking big data of the vehicle under different tire pressures and different rolling radii of the vehicle wheel.

[0094] The law determining module 103 is configured to determine parking law information according to the rolling radius-tire pressure mapping table and the parking big data.

[0095] The trajectory determining module 104 is configured to screen the parking space recognition information collected by the camera, and determine vehicle positioning trajectory information according to the screened parking space recognition information and the parking law information, and complete automatic parking.

[0096] The difference between the present embodiment and the third embodiment is that the system further comprises:

[0097] The second acquisition module 201 acquires the tire pressure of the vehicle and the transmission ratio of the vehicle transmission system, and calculates the rolling radius of the vehicle wheel according to the transmission ratio of the vehicle transmission system.

[0098] Specifically, the second acquisition module 201 comprises a tire pressure sensor and an ABS system, the tire pressure sensor is installed in the tire of the vehicle wheel, and is configured to collect and acquire the tire pressure of the vehicle wheel, the ABS system is configured to acquire the transmission ratio of the vehicle transmission system and calculate the rolling radius of the tire, and when the tire pressure sensor collects the tire pressure of the vehicle wheel, the tire pressure signal is sent out through a wireless radio frequency signal, the signal is received through a receiving circuit, the receiving circuit is arranged in the processing module 101, and the real-time accurate tire pressure value sent by the tire pressure sensor is parsed according to the corresponding protocol; when the ABS system collects the transmission ratio of the vehicle transmission system and calculates the real-time rolling radius of the vehicle wheel, the rolling radius-tire pressure mapping table is obtained through the CAN bus.

[0099] The display reminding module 202 performs display reminding when the tire pressure of the vehicle is higher than the upper limit of the preset tire pressure range or lower than the lower limit of the preset tire pressure range.

[0100] The display reminding module 202 comprises a dashboard, wherein a failure indicator lamp for performing display reminding is arranged on the dashboard, and the failure indicator lamp is used for reminding the tire pressure abnormality.

[0101] Embodiment Five

[0102] As shown in Figure 6 The fifth embodiment of the present application provides the following technical scheme, a computer device, comprising a memory 601, a processor 602, and a computer program stored in the memory 601 and capable of running on the processor 602.

[0103] The processor 602 implements the automatic parking optimization auxiliary method provided in the above embodiments when executing the program.

[0104] Further, the computer device further comprises:

[0105] A communication interface 603 for communication between the memory 601 and the processor 602.

[0106] The memory 601 is used to store the computer program capable of running on the processor 602.

[0107] The memory 601 can include a high-speed RAM (Random Access Memory, Random Access Memory) memory, and can also include a non-volatile memory, such as at least one disk memory.

[0108] If the memory 601, the processor 602 and the communication interface 603 are independently implemented, the communication interface 603, the memory 601 and the processor 602 can be connected to each other through a bus and complete communication between each other. The bus can be an ISA (Industry Standard Architecture, Industry Standard Architecture) bus, a PCI (Peripheral Component, Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture, Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, ​ Only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0109] Optionally, in specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can complete communication between each other through an internal interface.

[0110] The processor 602 can be a CPU (Central Processing Unit), or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to perform the embodiments of the application.

[0111] The computer device can acquire the automatic parking optimization auxiliary system, and execute the automatic parking optimization auxiliary method of the application, so as to realize automatic parking.

[0112] Embodiment six

[0113] In combination with the automatic parking optimization auxiliary method described above, the sixth embodiment of the application provides the following technical solution: a readable storage medium, the readable storage medium has a computer program stored thereon, and the computer program is executed by a processor to realize the automatic parking optimization auxiliary method described above.

[0114] Those skilled in the art can understand that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a list of executable instructions for implementing the logic function, which can be specifically implemented in any computer readable medium for use by or in conjunction with an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor or other system that can fetch and execute instructions from the instruction execution system, device or apparatus). For the purpose of this specification, the "computer readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by or in conjunction with an instruction execution system, device or apparatus, or in conjunction with these instruction execution systems, devices or apparatus.

[0115] More specific examples (a non-exhaustive list) of the computer readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by editing, interpreting or otherwise processing, if necessary, in other suitable ways, to obtain the program electronically, and then stored in the computer memory.

[0116] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, the various steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following technology, known in the art, or a combination thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0117] Any process or method descriptions or descriptions of the flow of processes or methods described in flow diagrams or otherwise described herein can be understood as representing at least one of the steps of a method implemented with one or more computers, as well as any other suitable process or method, and any combination thereof. The various steps or acts in the processes or methods described in flow diagrams or otherwise described herein can be performed in the order shown or in a different order. Additionally, one or more steps or acts can be optional. Furthermore, one or more steps or acts can be performed concurrently. The various steps or acts in the processes or methods described in flow diagrams or otherwise described herein can be embodied in a machine-executable code segment that can be executed by a machine using any suitable instruction set or set of codes. In other words, the steps or acts in the processes or methods described in flow diagrams or otherwise described herein can be implemented using any suitable machine code or software instruction set or set of codes, including but not limited to firmware, microcode, hardware, programmable logic, software, etc. In one embodiment, the steps or acts of a process or method described in flow diagrams or otherwise described herein can be implemented using a combination of software and hardware.

[0118] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, the various steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following technology, known in the art, or a combination thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays, field programmable gate arrays, and the like.

[0119] Those skilled in the art can understand that all or part of the steps carried out by the above-mentioned embodiment method can be completed by a program instructing the relevant hardware, and the program can be stored in a computer readable storage medium, and when executed, includes one of the steps of the method embodiment or a combination thereof.

[0120] Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and are not to be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. An automatic parking optimization assistance method, characterized in that: The method comprises: Acquire the tire pressure data and wheel rolling radius of the current vehicle in real time, and construct a rolling radius-tire pressure mapping table based on the tire pressure data and the wheel rolling radius; Obtaining parking big data from parking tests of vehicles under different tire pressure conditions, wherein a plurality of identical vehicles are used as experimental objects, the tire pressure of each vehicle is sequentially controlled so that the tire pressure of each vehicle is distributed in an arithmetic progression, and then parking tests are performed on each vehicle in sequence, measuring the parking trajectory of each vehicle under the corresponding tire pressure, and obtaining parking trajectories representing the vehicles under different tire pressure conditions; Determining parking pattern information based on the rolling radius-tire pressure mapping table and the parking big data, wherein, when parking big data representing parking trajectories of each vehicle under different tire pressure conditions in the experiment is obtained, since the parking big data is directly associated with the tire pressure of the vehicle and the rolling radius-tire pressure mapping table represents the association between rolling radius and tire pressure, determining the parking pattern information representing the relationship between the rolling radius of the vehicle's wheel and the parking trajectory of the vehicle based on the rolling radius-tire pressure mapping table in combination with the parking big data representing the association between tire pressure and parking trajectory; The parking space identification information collected by the camera of the current vehicle is filtered, and the positioning trajectory information of the current vehicle is determined according to the parking space identification information and the parking rule information, and automatic parking is completed according to the positioning trajectory information.

2. The automatic parking optimization assistance method according to claim 1, characterized in that: Before the step of acquiring the tire pressure data and wheel rolling radius of the current vehicle in real time and constructing a rolling radius-tire pressure mapping table based on the tire pressure data and the wheel rolling radius, the method further includes: A transmission ratio of a vehicle transmission system of the current vehicle is obtained, and a wheel rolling radius of the current vehicle is calculated based on the transmission ratio.

3. The automatic parking optimization assistance method according to claim 2, characterized in that: After the step of obtaining the transmission ratio of the vehicle transmission system of the current vehicle and calculating the wheel rolling radius of the current vehicle according to the transmission ratio, the method further includes: When any tire pressure data of the current vehicle is not within the preset tire pressure range, fault information is output.

4. The automatic parking optimization assistance method according to claim 1, characterized in that: The step of obtaining parking big data of a vehicle under parking tests with different tire pressure conditions includes: First parking test data of a vehicle undergoing a parking test under different tire pressure conditions is obtained, and second parking test data of the vehicle undergoing a parking test under different wheel rolling radius conditions is obtained based on the rolling radius-tire pressure mapping table and the first parking test data to obtain the parking big data.

5. An automatic parking optimization assistance system, adapted to adopt the automatic parking optimization assistance method according to any one of claims 1 to 4, characterized in that: The system comprises: A processing module, configured to obtain a rolling radius-tire pressure mapping table according to the tire pressure and the wheel rolling radius of the vehicle; The first acquisition module is used to acquire parking big data of a vehicle during a parking test under different tire pressure conditions; a pattern determination module, configured to determine parking pattern information based on the rolling radius-tire pressure mapping table and the parking big data; The trajectory determination module is used to filter the parking space identification information collected by the camera, and determine the vehicle positioning trajectory information based on the filtered parking space identification information and the parking pattern information to complete automatic parking.

6. The automatic parking optimization assistance system according to claim 5, characterized in that: The system further comprises: The second acquisition module acquires the tire pressure of the vehicle and the transmission ratio of the vehicle transmission system, and calculates the wheel rolling radius according to the transmission ratio of the vehicle transmission system.

7. The automatic parking optimization assistance system according to claim 6, characterized in that: The system further comprises: The display reminder module is configured to display a reminder when the tire pressure of the vehicle is higher than an upper limit of a preset tire pressure range or lower than a lower limit of the preset tire pressure range.

8. The automatic parking optimization assistance system according to claim 5, characterized in that: The first acquisition module includes: an acquiring unit, configured to acquire first parking test data of a current vehicle subjected to a parking test under different tire pressure conditions; A calculation unit is configured to obtain second parking test data of the current vehicle under different wheel rolling radius conditions based on the rolling radius-tire pressure mapping table and the first parking test data, so as to obtain the parking big data.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the automatic parking optimization assistance method according to any one of claims 1 to 4 is implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the automatic parking optimization assistance method according to any one of claims 1 to 4 is implemented.

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