Parking fee payment method and device, intelligent automobile and storage medium

Abstract

The embodiment of the invention provides a parking fee payment method and device, an intelligent automobile and a storage medium, and relates to the technical field of intelligent automobiles. The method comprises the steps that when a payment instruction is received, environment information of the intelligent automobile is acquired; when at least two candidate parking lots are screened out from a preset parking lot database based on the positioning information, matching the height information of each candidate parking lot with the air pressure information to obtain a target parking lot; when the number of the target parking lots is at least two, identifying the image information to obtain a parking lot identifier, and determining a payment parking lot from the target parking lots according to the parking lot identifier; and the charging information corresponding to the payment parking lot is inquired from the parking lot database, and the charging information is displayed in a central control screen of the intelligent automobile, so that the user can pay the parking fee based on the charging information. According to the embodiment of the invention, parking lot automatic screening and charging information query based on the environment information and the preset parking lot database are realized, and the payment speed and efficiency are effectively improved.

Description

Technical Field

[0001] The present application relates to the field of smart car technology, and in particular to a parking fee payment method, device, smart car and storage medium. Background Art

[0002] With the rapid development of the economy and society and the improvement of people's living standards, the number of motor vehicles in my country has increased dramatically, and there are more and more parking lots in cities; fast and convenient payment in different parking lots is an urgent need for car owners.

[0003] In the prior art, parking lot fee QR codes are usually posted in multiple places in the parking lot so that drivers can scan the fee QR codes to pay; however, after finding the QR code, the driver is often limited by the parking angle of the vehicle and needs to stretch his arm or even lean out of the car to scan the code, which poses certain safety hazards to the driver. Summary of the invention

[0004] The present application provides a parking fee payment method, device, smart car and storage medium, which are used to solve the problem of insecurity when scanning a code from inside a car to outside the car in the prior art.

[0005] According to one aspect of the present application, a parking fee payment method is provided for a smart car, the method comprising:

[0006] When receiving a payment instruction, obtain the environment information of the smart car; the environment information includes air pressure information, positioning information and image information;

[0007] When at least two candidate parking lots are selected from a preset parking lot database based on the positioning information, the height information of each candidate parking lot is matched with the air pressure information to obtain a target parking lot; wherein the distance between the candidate positioning information and the positioning information of each candidate parking lot is within a preset range;

[0008] When the number of target parking lots is at least two, the image information is recognized to obtain parking lot identification, and a paid parking lot is determined from the target parking lots according to the parking lot identification;

[0009] The charging information corresponding to the paid parking lot is obtained from the parking lot database, and the charging information is displayed on the central control screen of the smart car so that the user can pay the parking fee based on the charging information.

[0010] In a possible implementation, after obtaining the environment information of the smart car, the method further includes:

[0011] When the charging information of the paid parking lot is not obtained, the charging information is extracted from the image information;

[0012] Binding the environmental information and the charging information to obtain binding information;

[0013] The binding information is stored in the parking lot database.

[0014] In a possible implementation, before storing the binding information in the parking lot database, the method includes:

[0015] When the charging information cannot be extracted from the image information, a charging information collection signal is sent to remind the user to upload the charging information of the paid parking lot and receive the charging information.

[0016] In another possible implementation, before obtaining the environment information of the smart car, the method further includes:

[0017] Acquire an environmental image based on a preset first acquisition frequency, and recognize the environmental image;

[0018] When the parking lot entrance barrier is identified from the environment image, image information is acquired based on a preset second acquisition frequency.

[0019] In another possible implementation, the above-mentioned matching of the height information and the air pressure information of each candidate parking lot to obtain the target parking lot includes:

[0020] Convert air pressure information into target altitude;

[0021] The target parking lot is determined according to the difference between the height information of each candidate parking lot and the target height; wherein the difference between the height information of the target parking lot and the target height is less than a preset threshold.

[0022] In another possible implementation, after obtaining the target parking lot, the following steps are performed:

[0023] When the number of the target parking lot is one, the target parking lot is used as a paid parking lot.

[0024] In another possible implementation, the charging information includes QR code information.

[0025] According to another aspect of the embodiment of the present application, a parking fee payment device is provided, which is applied to a smart car, and the device includes:

[0026] An acquisition module, used to acquire environmental information of the smart car when receiving a payment instruction; the environmental information includes air pressure information, positioning information and image information;

[0027] A matching module, configured to match the height information of each candidate parking lot with the air pressure information to obtain a target parking lot when at least two candidate parking lots are screened out from a preset parking lot database based on the positioning information; wherein the distance between the candidate positioning information and the positioning information of each candidate parking lot is within a preset range;

[0028] A recognition module, used for recognizing the image information when the number of target parking lots is at least two, obtaining parking lot identification, and determining a paid parking lot from the target parking lots according to the parking lot identification;

[0029] The query module is used to query the charging information corresponding to the paid parking lot from the parking lot database, and display the charging information on the central control screen of the smart car so that the user can pay the parking fee based on the charging information.

[0030] According to another aspect of the present application, a smart car is provided, which includes: a memory, a processor, and a computer program stored in the memory, and the processor executes the computer program to implement the steps of the method shown in the first aspect of the present application.

[0031] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method shown in the first aspect of the present application are implemented.

[0032] The beneficial effects of the technical solution provided by this application are:

[0033] The parking fee payment method, device, smart car and storage medium provided by the present application can obtain the environmental information of the smart car when receiving the payment instruction, and the environmental information includes air pressure information, positioning information and image information; when at least two candidate parking lots are screened out from the preset parking lot database through positioning information, the height information of each candidate parking lot is matched with the air pressure information to obtain the target parking lot; when the number of target parking lots is at least two, the image information can be identified to obtain the parking lot identification, and the payment parking lot can be determined from the target parking lot according to the parking lot identification; the charging information of the payment parking lot is obtained by querying from the parking lot database, and the charging information is displayed on the central control screen of the smart car, so that the user can pay the parking fee based on the charging information. The present application realizes the automatic screening of parking lots and the query of charging information based on environmental information and the preset parking lot database. When the charging information is obtained by querying, the charging information can be displayed on the central control screen of the smart car, and the driver can complete the payment directly in the car based on the charging information; it avoids the time-consuming and laborious search for the charging QR code and leaning out to scan the code, reduces the safety risks of the driver, and effectively improves the payment speed and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0035] Figure 1 A flowchart of a parking fee payment method provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of a process for entering database information in a parking fee payment method provided in an embodiment of the present application;

[0037] Figure 3 A flowchart of an exemplary parking fee payment method provided in an embodiment of the present application;

[0038] Figure 4 A schematic diagram of the structure of a parking fee payment device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0040] Various structural schematic diagrams according to embodiments of the present disclosure are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may further design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0041] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element may be directly on the other layer / element or an intervening layer / element may exist therebetween. In addition, if a layer / element is "on" another layer / element in one orientation, the layer / element may be "below" the other layer / element when the orientation is reversed.

[0042] With a large population base in China and people's quality of life continuing to improve, small cars have become popular. However, the increasing number of small cars has caused many car owners to face problems such as difficulty in parking. In cities, not only are there large populations and developed economies, but cars are also an important tool for urban transportation. As the number of cars increases, the number of parking spaces required also increases accordingly. Parking lots usually require payment, and the payment method is generally manual charging or scanning code payment. However, car owners often have to look around for the parking lot's charging QR code. Sometimes the QR code is not clear, and the car owner must hold the mobile phone and lean half of his body out of the car to scan the code, which is time-consuming and labor-intensive, and very unsafe.

[0043] Based on the above technical problems, some embodiments of the present application pre-build a parking lot database to realize automatic screening of parking lots and query of charging information based on environmental information and a preset parking lot database. When the charging information is obtained through query, the charging information can be displayed on the central control screen of the smart car, and the driver can complete the payment directly in the car based on the charging information; avoiding the time-consuming and laborious search for the charging QR code and leaning out to scan the code, reducing the safety risks of the driver and effectively improving the payment speed and efficiency.

[0044] The following is a detailed description of the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0045] The present application provides a method for paying parking fees. Figure 1 As shown, it can be applied to smart cars, and the method includes:

[0046] S101, when receiving a payment instruction, obtaining environmental information of the smart car.

[0047] The environmental information includes air pressure information, positioning information and image information. The payment instruction may be a voice instruction of the driver user.

[0048] Optionally, the above-mentioned smart car can be equipped with a barometer, a global positioning system (GPS) and an image collector.

[0049] Specifically, when the driver needs to pay, he can say a voice command such as "I want to pay the parking fee". After the smart car receives the above voice command through the voice collector, it can obtain the air pressure information of the vehicle's environment based on the barometer, obtain the vehicle's latitude and longitude data, i.e., positioning information, based on GPS, and collect image information of the vehicle's surrounding environment through the image collector.

[0050] S102: When at least two candidate parking lots are screened out from a preset parking lot database based on the positioning information, the height information and the air pressure information of each candidate parking lot are matched to obtain a target parking lot.

[0051] The distance between the candidate positioning information and the positioning information of each candidate parking lot is within a preset range.

[0052] Optionally, the parking lot database may be pre-built, storing charging information and environmental information of different parking lots; for example, the name of the parking lot may be used as a parking lot identifier, which may be used as a key, and the environmental information, height information, charging information, etc. collected in the parking lot may be used as a value, to store the parking lot information in the form of a key-value pair.

[0053] Specifically, the candidate parking lots within a straight-line distance of 200m can be first screened out based on the positioning information; then the height information of each candidate parking lot is matched with the air pressure information to obtain the target parking lot. For example, if at least two candidate parking lots include two different parking lots set up on different floors of a high-rise building, the positioning information of the two candidate parking lots may be the same, but the height information is different. Then, the obtained air pressure information can be matched with the height information of each candidate parking lot to screen out the target parking lot. The matching method of the height information and the air pressure information will be described in detail below.

[0054] S103: When the number of target parking lots is at least two, the image information is identified to obtain parking lot identifications, and a paid parking lot is determined from the target parking lots according to the parking lot identifications.

[0055] Specifically, when the number of target parking lots is at least two, the image information can be recognized based on a pre-trained deep learning model to obtain a parking lot sign; the parking lot sign may include the name of the parking lot, the business district where the parking lot is located, the name of the building where the parking lot is located, etc., which is not specifically limited in the embodiments of the present application.

[0056] Optionally, the image information can be recognized based on a pre-trained deep learning model to obtain the parking lot name, i.e., the parking lot identification. The parking lot name can be matched with each target parking lot to obtain a target parking lot matching the parking lot name as a paid parking lot.

[0057] S104, querying the parking lot database to obtain the charging information corresponding to the paid parking lot, and displaying the charging information on the central control screen of the smart car so that the user can pay the parking fee based on the charging information.

[0058] Specifically, the name of the parking lot can be used as a parking lot identifier, and the parking lot name of the paid parking lot can be used as a keyword to search in a parking lot database to obtain corresponding charging information.

[0059] Among them, the charging information can be a payment QR code information, which can be displayed on the central control screen of the smart car; in some embodiments, the user can take out a mobile phone to scan the code to pay the parking fee. In other embodiments, the user can bind the payment account in the central control system of the smart car in advance. After the payment QR code information is displayed on the central control screen of the smart car, the user can directly click on the payment QR code in the central control system to pay the parking fee.

[0060] When receiving a payment instruction, the embodiment of the present application obtains the environmental information of the smart car, which includes air pressure information, positioning information and image information; when at least two candidate parking lots are screened out from the preset parking lot database through positioning information, the height information of each candidate parking lot is matched with the air pressure information to obtain the target parking lot; when the number of target parking lots is at least two, the image information can be identified to obtain the parking lot identification, and the payment parking lot can be determined from the target parking lot according to the parking lot identification; the charging information of the payment parking lot is obtained by querying from the parking lot database, and the charging information is displayed on the central control screen of the smart car, so that the user can pay the parking fee based on the charging information. The present application realizes the automatic screening of parking lots and the query of charging information based on environmental information and the preset parking lot database. When the charging information is obtained by query, the charging information can be displayed on the central control screen of the smart car, and the driver can complete the payment directly in the car based on the charging information; it avoids the time-consuming and laborious search for the charging QR code and leaning out to scan the code, reduces the safety risks of the driver, and effectively improves the payment speed and efficiency.

[0061] A possible implementation method is provided in the embodiment of the present application, such as Figure 2 As shown, after obtaining the environmental information of the smart car, the method further includes:

[0062] S201: When the charging information of the paid parking lot is not obtained, the charging information is extracted from the image information.

[0063] Specifically, when the charging information of the paid parking lot is not obtained, the image information can be recognized based on the pre-trained machine learning model to extract the charging information.

[0064] S202, binding the environmental information and the charging information to obtain binding information; and storing the binding information in a parking lot database.

[0065] In an embodiment of the present application, when it is impossible to obtain the charging information of the paid parking lot from the parking lot data, the charging information can be extracted from the image information collected in real time, and then the charging information and the corresponding environmental information are stored in the parking lot database to expand the parking lot data. The user can directly obtain the charging information from the database when entering the parking lot next time, thereby improving the user experience.

[0066] The parking lot database in the embodiment of the present application stores the charging information of multiple parking lots. When the charging information expires, for example, the payment QR code is invalid and has been changed to new charging information, the user's payment will fail. At this time, the new charging information can also be extracted from the image information, and the new charging information and the real-time collected image information can be updated into the parking lot database to ensure the timeliness and accuracy of the database.

[0067] A possible implementation method is provided in an embodiment of the present application. Before storing the binding information in the parking lot database, the method includes:

[0068] When the charging information cannot be extracted from the image information, a charging information collection signal is sent to remind the user to upload the charging information of the paid parking lot and receive the charging information.

[0069] In an embodiment of the present application, when the charging information cannot be extracted from the real-time collected image information, users can be encouraged to upload the charging information of the parking lot to ensure that the data in the parking lot database is updated in real time as the user uses it, so as to better provide parking lot payment services and enhance user experience.

[0070] A possible implementation method is provided in an embodiment of the present application. Before obtaining the environmental information of the smart car, the method further includes:

[0071] S301, collecting an environmental image based on a preset first collection frequency, and identifying the environmental image.

[0072] In an embodiment of the present application, during the driving of the smart car, the environmental image of the vehicle's surroundings can be collected in real time based on the first collection frequency. For example, one frame of environmental image can be collected every 30 seconds, and the physical objects in the environmental image can be identified.

[0073] S302: When a parking lot entrance barrier is identified from the environment image, image information is acquired based on a preset second acquisition frequency.

[0074] Specifically, when a parking lot entrance barrier is identified from the environmental image, it indicates that the vehicle has entered the parking lot, and one frame of image information may be collected based on the second collection frequency, for example, every 10 seconds.

[0075] The embodiment of the present application sets different image acquisition frequencies to collect environmental information before and after the vehicle enters the parking lot, so as to identify the environment of the parking lot in real time and obtain more accurate parking lot image information, thereby laying a good foundation for the subsequent screening of paid parking lots based on image information.

[0076] In an embodiment of the present application, a possible implementation method is provided, in which the height information of each candidate parking lot is matched with the air pressure information to obtain the target parking lot, including:

[0077] S401, converting the air pressure information into a target altitude.

[0078] S402: Determine a target parking lot according to the difference between the height information of each candidate parking lot and the target height.

[0079] The difference between the height information of the target parking lot and the target height is less than a preset threshold.

[0080] For example, at least two candidate parking lots include two different parking lots located on different floors of a high-rise building. The positioning information of the two candidate parking lots may be the same, but the height information is different. The acquired air pressure information can be matched with the height information of each candidate parking lot to screen out the target parking lot.

[0081] The embodiment of the present application further screens and matches candidate parking lots through real-time collected air pressure information, which can effectively distinguish different parking lots located on the same building but different floors, and effectively improve the accuracy and effectiveness of parking lot queries.

[0082] A possible implementation method is provided in an embodiment of the present application. After obtaining the target parking lot, the method includes:

[0083] When the number of the target parking lot is one, the target parking lot is used as a paid parking lot.

[0084] In an embodiment of the present application, when a target parking lot is selected based on the positioning information and the height information, the target parking lot can be directly used as a paid parking lot.

[0085] In some embodiments, the target parking lot screened out based on the above method may not be accurate. When the user pays based on the charging information of the target parking lot, he / she will find that the payment is not successful. The charging information can be extracted from the real-time collected image information, and then the charging information and corresponding environmental information can be stored in the parking lot database to expand the parking lot data. The user can directly obtain the charging information from the database when entering the parking lot next time, thereby improving the user experience.

[0086] A possible implementation method is provided in an embodiment of the present application, and the above-mentioned charging information includes QR code information.

[0087] In order to better understand the above parking fee payment method, Figure 3 An example of a parking fee payment method of the present application is described in detail, and the method includes the following steps:

[0088] S501, when the user is ready to drive out of the parking lot and needs to pay the parking fee, the user can wake up the voice assistant in the car and then issue a voice command "I want to pay the parking fee";

[0089] S502, in response to the voice command, the smart car obtains real-time collected image information, air pressure information and GPS information.

[0090] S503, filtering and obtaining a list of candidate parking lots from a parking lot database using GPS information and air pressure information.

[0091] Specifically, the GPS information may be set within a certain range, for example, parking lots within a straight-line distance of 200 meters are all candidate parking lots.

[0092] S504: Then, a paid parking lot is determined from the candidate parking lot list based on the image information.

[0093] S505, the QR code of the paid parking lot is obtained from the parking lot database, and the QR code of the paid parking lot is displayed on the central control screen of the vehicle. The car owner does not need to get out of the car, and can quickly complete the payment by simply picking up the mobile phone and scanning the QR code in the comfortable car environment.

[0094] Optionally, if the parking lot is not found, the system will not leave the car owner in trouble. The system can encourage the car owner to take a photo of the parking lot's QR code and upload it, while entering it into the database. In this way, in subsequent use, the system will be able to successfully retrieve the parking lot, providing great convenience for the car owner's next parking payment.

[0095] The present application embodiment provides a parking fee payment device, which is applied to a smart car, such as Figure 4 As shown, the parking fee payment device 40 may include: an acquisition module 401, a matching module 402, an identification module 403 and a query module 404;

[0096] The acquisition module 401 is used to acquire the environment information of the smart car when receiving the payment instruction; the environment information includes air pressure information, positioning information and image information;

[0097] A matching module 402 is used to match the height information and the air pressure information of each candidate parking lot to obtain a target parking lot when at least two candidate parking lots are screened out from a preset parking lot database based on the positioning information; wherein the distance between the candidate positioning information and the positioning information of each candidate parking lot is within a preset range;

[0098] The recognition module 403 is used to recognize the image information when the number of target parking lots is at least two, obtain parking lot identification, and determine the paid parking lot from the target parking lots according to the parking lot identification;

[0099] The query module 404 is used to query the charging information corresponding to the paid parking lot from the parking lot database, and display the charging information on the central control screen of the smart car so that the user can pay the parking fee based on the charging information.

[0100] A possible implementation method is provided in an embodiment of the present application. After acquiring the environmental information of the smart car, the acquisition module 401 is used to:

[0101] When the charging information of the paid parking lot is not obtained, the charging information is extracted from the image information;

[0102] Binding the environmental information and the charging information to obtain binding information;

[0103] The binding information is stored in the parking lot database.

[0104] A possible implementation method is provided in an embodiment of the present application. Before storing the binding information in the parking lot database, the acquisition module 401 is used to:

[0105] When the charging information cannot be extracted from the image information, a charging information collection signal is sent to remind the user to upload the charging information of the paid parking lot and receive the charging information.

[0106] In an embodiment of the present application, a possible implementation method is provided. Before acquiring the environmental information of the smart car, the acquisition module 401 is further used to:

[0107] Acquire an environmental image based on a preset first acquisition frequency, and recognize the environmental image;

[0108] When the parking lot entrance barrier is identified from the environment image, image information is acquired based on a preset second acquisition frequency.

[0109] A possible implementation method is provided in an embodiment of the present application. When the matching module 402 matches the height information and the air pressure information of each candidate parking lot to obtain the target parking lot, it is used to:

[0110] Convert air pressure information into target altitude;

[0111] The target parking lot is determined according to the difference between the height information of each candidate parking lot and the target height; wherein the difference between the height information of the target parking lot and the target height is less than a preset threshold.

[0112] A possible implementation method is provided in the embodiment of the present application. After obtaining the target parking lot, the matching module 402 is used to:

[0113] When the number of the target parking lot is one, the target parking lot is used as a paid parking lot.

[0114] A possible implementation method is provided in an embodiment of the present application, and the above-mentioned charging information includes QR code information.

[0115] The device of the embodiments of the present application can execute the method provided by the embodiments of the present application, and the implementation principles are similar. The actions performed by each module in the device of each embodiment of the present application correspond to the steps in the method of each embodiment of the present application. For the detailed functional description of each module of the device, please refer to the description in the corresponding method shown in the previous text, which will not be repeated here.

[0116] The embodiment of the present application can obtain the environmental information of the smart car when receiving the payment instruction, and the environmental information includes air pressure information, positioning information and image information; when at least two candidate parking lots are screened out from the preset parking lot database through positioning information, the height information of each candidate parking lot is matched with the air pressure information to obtain the target parking lot; when the number of target parking lots is at least two, the image information can be identified to obtain the parking lot identification, and the payment parking lot can be determined from the target parking lot according to the parking lot identification; the charging information of the payment parking lot is obtained by querying from the parking lot database, and the charging information is displayed on the central control screen of the smart car, so that the user can pay the parking fee based on the charging information. The present application realizes the automatic screening of parking lots and the query of charging information based on environmental information and the preset parking lot database. When the charging information is obtained by query, the charging information can be displayed on the central control screen of the smart car, and the driver can complete the payment directly in the car based on the charging information; it avoids the time-consuming and laborious search for the charging QR code and leaning out to scan the code, reduces the safety risks of the driver, and effectively improves the payment speed and efficiency.

[0117] In an embodiment of the present application, a smart car is provided, including a memory, a processor and a computer program stored in the memory, and the processor executes the above-mentioned computer program to implement the steps of the parking fee payment method. Compared with the related art, the following can be achieved: when receiving a payment instruction, the embodiment of the present application can obtain environmental information of the smart car, and the environmental information includes air pressure information, positioning information and image information; when at least two candidate parking lots are screened out from a preset parking lot database through positioning information, the height information of each candidate parking lot is matched with the air pressure information to obtain a target parking lot; when the number of target parking lots is at least two, the image information can be identified to obtain a parking lot identification, and the payment parking lot is determined from the target parking lot according to the parking lot identification; the charging information of the payment parking lot is obtained from the parking lot database, and the charging information is displayed on the central control screen of the smart car, so that the user can pay the parking fee based on the charging information. This application realizes the automatic screening of parking lots and the query of charging information based on environmental information and a preset parking lot database. When the charging information is obtained through query, the charging information can be displayed on the central control screen of the smart car, and the driver can complete the payment directly in the car based on the charging information; it avoids the time-consuming and laborious search for the charging QR code and leaning out to scan the code, thereby reducing the safety risks of the driver and effectively improving the payment speed and efficiency.

[0118] In an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method shown in the first aspect of the embodiment of the present application are implemented.

[0119] In the above description, the technical details such as the patterning of each layer are not described in detail. However, those skilled in the art should understand that various technical means can be used to form layers, regions, etc. of desired shapes. In addition, in order to form the same structure, those skilled in the art can also design methods that are not completely the same as the methods described above. In addition, although the various embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage.

[0120] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0121] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A parking fee payment method, applied to a smart car, characterized in that: The method comprises: When receiving the payment instruction, obtaining the environmental information of the smart car; the environmental information includes air pressure information, positioning information and image information; When at least two candidate parking lots are screened out from a preset parking lot database based on the positioning information, the height information of each candidate parking lot is matched with the air pressure information to obtain a target parking lot; wherein the distance between the candidate positioning information of each candidate parking lot and the positioning information is within a preset range; When the number of target parking lots is at least two, the image information is identified to obtain parking lot identification, and a paid parking lot is determined from the target parking lots according to the parking lot identification; The charging information corresponding to the paid parking lot is obtained by querying from the parking lot database, and the charging information is displayed on the central control screen of the smart car so that the user can pay the parking fee based on the charging information.

2. The method according to claim 1, characterized in that After obtaining the environmental information of the smart car, the method further includes: When the charging information of the paid parking lot is not obtained, extracting the charging information from the image information; Binding the environment information and the charging information to obtain binding information; The binding information is stored in the parking lot database.

3. The method according to claim 2, characterized in that Before storing the binding information in the parking lot database, the method includes: When the charging information cannot be extracted from the image information, a charging information collection signal is sent to remind the user to upload the charging information of the paid parking lot and receive the charging information.

4. The method according to claim 1, characterized in that Before obtaining the environmental information of the smart car, the method further includes: Acquire an environmental image based on a preset first acquisition frequency, and identify the environmental image; When a parking lot entrance lifting barrier is identified from the environment image, image information is acquired based on a preset second acquisition frequency.

5. The method according to claim 1, characterized in that The step of matching the height information of each candidate parking lot with the air pressure information to obtain a target parking lot includes: converting the air pressure information into a target altitude; The target parking lot is determined according to the difference between the height information of each candidate parking lot and the target height; wherein the difference between the height information of the target parking lot and the target height is less than a preset threshold.

6. The method according to claim 1, characterized in that After obtaining the target parking lot, the following steps are included: When the number of the target parking lot is one, the target parking lot is used as a paid parking lot.

7. The method according to claim 1, characterized in that The charging information includes QR code information.

8. A parking fee payment device, applied to a smart car, characterized in that: The device comprises: An acquisition module, used for acquiring environmental information of the smart car when receiving a payment instruction; the environmental information includes air pressure information, positioning information and image information; A matching module, configured to match the height information of each candidate parking lot with the air pressure information to obtain a target parking lot when at least two candidate parking lots are screened out from a preset parking lot database based on the positioning information; wherein the distance between the candidate positioning information of each candidate parking lot and the positioning information is within a preset range; an identification module, for identifying the image information to obtain a parking lot identification when the number of target parking lots is at least two, and determining a paid parking lot from the target parking lots according to the parking lot identification; The query module is used to query the charging information corresponding to the paid parking lot from the parking lot database, and display the charging information on the central control screen of the smart car so that the user can pay the parking fee based on the charging information.

9. A smart car, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

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

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