Unmanned roadside parking management method, system and inspection vehicle

Abstract

The present invention relates to the field of parking management technology, and specifically discloses a method, system, and patrol vehicle for managing roadside parking spaces based on unmanned driving. The method comprises receiving a parking request containing a destination from a driver, determining a parking area with a preset number of floors based on the destination, sequentially acquiring vehicle parking parameters for each parking space in each parking area based on a preset acquisition device, and calculating the vacancy probability of each parking space; determining a parking guidance map based on all parking spaces and their vacancy probabilities, and transmitting the parking guidance map to the driver. The present invention acquires the occupancy status of parking spaces through a preset acquisition device, acquires parking images of parking spaces through a patrol vehicle, determines a parking table containing parking space number items, license plate number items, and occupancy duration items based on the parking images and the occupancy status, calculates the vacancy probability based on the parking table, and then generates a parking guidance map, thereby providing drivers with improved parking guidance, improving parking efficiency, and reducing ineffective vehicle search costs.

Description

Technical Field

[0001] The present invention relates to the technical field of parking management, and in particular to a method, system and patrol vehicle for managing roadside parking spaces based on unmanned driving. Background Art

[0002] With the increasing prevalence of cars in people's lives and the increasing number of motor vehicles, parking has become a growing problem. Many public places with high traffic volumes either lack parking lots or simply lack them. Many drivers often drive from place to place searching for a spot. This problem is exacerbated on weekends and holidays.

[0003] Therefore, how to solve the parking problem, make the parking process clearer for the driver, reduce the vehicle search time, and improve the vehicle parking efficiency is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, system and inspection vehicle for managing roadside parking spaces based on unmanned driving, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for managing roadside parking spaces based on unmanned driving, the method comprising:

[0007] Receive a parking request with a destination from the driver, and determine a parking area with a preset number of floors based on the destination; the number of floors is proportional to the area size;

[0008] Obtaining the vehicle parking parameters of each parking space in each parking area of ​​each floor in turn according to the preset acquisition equipment; the vehicle parking parameters are used to characterize the occupancy of the parking space;

[0009] Calculate the vacancy probability of each parking space based on the vehicle parking parameters;

[0010] A parking guidance map is determined based on all parking spaces and their vacancy probabilities, and the parking guidance map is sent to the driver's terminal.

[0011] As a further solution of the present invention, the step of receiving a parking request including a destination from the driver and determining a parking area with a preset number of floors according to the destination includes:

[0012] Receive parking requests from the driver, obtain navigation information from the driver, and read the destination in the navigation information;

[0013] Sending the destination to the driver terminal, and when the driver terminal receives the destination, displaying the destination and opening an information correction port;

[0014] receiving correction information from the driver based on the information correction port, and adjusting the destination according to the correction information;

[0015] With the destination as the center and the preset increasing value as the radius, the parking area with the preset number of floors is determined.

[0016] As a further solution of the present invention, the step of receiving the driver's correction information based on the information correction port and adjusting the destination according to the correction information includes:

[0017] When the correction information is audio information, generating an audio file according to the audio information;

[0018] Decompressing the audio file to generate a pure waveform file;

[0019] Cutting out the waveform whose amplitude is greater than a preset amplitude threshold value from the pure waveform file to obtain a sub-waveform file;

[0020] Divide the sub-waveform file into frames to generate speech signals;

[0021] Extracting acoustic features from the speech signal to generate a feature matrix, and inputting the feature matrix into a preset recognition model to obtain text information;

[0022] The destination is adjusted based on the text information.

[0023] As a further solution of the present invention, the step of sequentially acquiring the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device includes:

[0024] Determine in real time whether each parking space is occupied based on the preset sensors;

[0025] When the parking space is occupied, the occupancy time is recorded according to a preset timer;

[0026] Obtain vehicle images of each parking space according to a preset inspection route containing sampling points;

[0027] Identify the license plate number in the vehicle image and generate a parking table with a time tag based on the license plate number and the corresponding parking space occupancy time as the vehicle parking parameter;

[0028] The parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time.

[0029] As a further solution of the present invention, the step of sequentially acquiring the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device further includes:

[0030] Read and identify the vehicle image to determine whether there is a vehicle in each parking space;

[0031] Determine the working state of the sensor according to the presence of the vehicle; the working state includes normal state and abnormal state;

[0032] Generate maintenance instructions based on the judgment results.

[0033] As a further solution of the present invention: the step of calculating the vacancy probability of each parking space based on the vehicle parking parameters includes:

[0034] Reading the parking list and arranging the parking list according to the time tags;

[0035] Count the parking time of each license plate number in the parking table and calculate the average parking time of the corresponding vehicles;

[0036] The occupancy time of each license plate number in the near parking table is read, and the occupancy time is compared with the average parking time to obtain the idle probability.

[0037] The technical solution of the present invention also provides a roadside parking management system based on unmanned driving, the system comprising:

[0038] A request receiving module is used to receive a parking request including a destination from the driver and determine a parking area with a preset number of floors based on the destination; the number of floors is proportional to the area size;

[0039] A parameter acquisition module is used to sequentially acquire vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device; the vehicle parking parameters are used to characterize the occupancy of the parking space;

[0040] Idle probability calculation module, used to calculate the idle probability of each parking space based on the vehicle parking parameters;

[0041] The guidance map generation module is used to determine a parking guidance map based on all parking spaces and their vacancy probabilities, and send the parking guidance map to the driver's terminal.

[0042] As a further solution of the present invention: the request receiving module includes:

[0043] A destination reading unit is used to receive a parking request sent by the driver, obtain navigation information from the driver, and read the destination in the navigation information;

[0044] a port opening unit, configured to send the destination to the driver terminal, and when the driver terminal receives the destination, display the destination and open an information correction port;

[0045] a destination correction unit, configured to receive correction information from the driver based on the information correction port, and adjust the destination according to the correction information;

[0046] The area determination unit is used to determine a parking area with a preset number of floors with the destination as the center and a preset incremental value as the radius.

[0047] As a further solution of the present invention: the parameter acquisition module includes:

[0048] An occupancy determination unit, used to determine in real time whether each parking space is occupied based on preset sensors;

[0049] a duration recording unit, configured to record the occupancy duration according to a preset timer when the parking space is occupied;

[0050] An image acquisition unit, configured to acquire vehicle images of each parking space according to a preset inspection path containing sampling points;

[0051] A parking table generating unit is used to identify the license plate number in the vehicle image and generate a parking table containing a time tag according to the license plate number and the occupancy time of the corresponding parking space as a vehicle stay parameter;

[0052] The parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time.

[0053] The technical solution of the present invention also provides an unmanned roadside parking management inspection vehicle, which includes one or more processors and one or more memories, and at least one program code is stored in the one or more memories. When the program code is loaded and executed by the one or more processors, the unmanned roadside parking management method is implemented.

[0054] Compared with the existing technology, the beneficial effects of the present invention are: the present invention obtains the occupancy status of parking spaces through preset collection equipment, obtains parking images of parking spaces through inspection vehicles, determines a parking table containing parking space number items, license plate number items and occupancy time items based on the parking images and the occupancy status, calculates the idle probability based on the parking table, and then generates a parking guidance map, thereby providing drivers with better parking guidance, improving parking efficiency, and reducing the cost of ineffective car searches. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0056] Figure 1 The flowchart of the roadside parking management method based on unmanned driving is shown in FIG.

[0057] Figure 2 This is a flowchart of the first sub-process of the roadside parking management method based on unmanned driving.

[0058] Figure 3 This is a second sub-process flowchart of the roadside parking management method based on unmanned driving.

[0059] Figure 4 This is the third sub-process flowchart of the unmanned roadside parking management method.

[0060] Figure 5 This is a structural block diagram of the roadside parking management system based on unmanned driving. DETAILED DESCRIPTION

[0061] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Example 1

[0062] Figure 1 The flowchart of the method for managing roadside parking spaces based on unmanned driving is shown below. In an embodiment of the present invention, a method for managing roadside parking spaces based on unmanned driving is provided. The method includes:

[0063] Step S100: receiving a parking request including a destination from the driver, and determining a parking area with a preset number of floors according to the destination; wherein the number of floors is proportional to the area range;

[0064] The driving end can be a control system installed on the vehicle or a driver's smart mobile device as long as it has data transmission function; the parking area refers to the area where the driver can park. Generally, it is a parking spot in a circular area with a radius of no more than 1,000 meters centered on the destination; the number of floors can be 200 meters per floor, 500 meters per floor, or 1,000 meters per floor.

[0065] Step S200: sequentially acquiring vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device; the vehicle parking parameters are used to characterize the occupancy of the parking space;

[0066] The preset collection equipment can be a sensor with a distance measurement function installed on the side of the parking space, or some pressure sensors, whose purpose is to determine whether there is a vehicle parked in the parking space; of course, other equipment and technologies that can determine whether there is a vehicle parked in the parking space can also be used, such as a camera plus image recognition technology.

[0067] Step S300: Calculating the vacancy probability of each parking space based on the vehicle parking parameters;

[0068] The vacancy probability of each parking space can be calculated based on the vehicle parking parameters. If there is no vehicle parked in a parking space, the vacancy probability of the parking space is 100%.

[0069] Step S400: determining a parking guidance map based on all parking spaces and their vacancy probabilities, and sending the parking guidance map to the driver's terminal;

[0070] Once the probability of a parking space being available is calculated, it is sent to the driver to facilitate parking.

[0071] It is worth mentioning that the parking areas are layered, and the parking guidance map is also layered. The layering method can be to add dividing lines in the parking guidance map; the parking guidance map and the parking areas are in a corresponding relationship, and the part corresponding to the parking space contains the idle probability label.

[0072] Figure 2 This is a flowchart of the first sub-process of the method for managing roadside parking spaces based on unmanned driving. The steps of receiving a parking request including a destination from a driver and determining a parking area with a preset number of floors according to the destination include steps S101 to S104:

[0073] Step S101: receiving a parking request sent by the driver, obtaining navigation information from the driver, and reading the destination in the navigation information;

[0074] The current driving process basically uses the navigation function, so reading the navigation information can read the destination;

[0075] Step S102: sending the destination to the driver terminal. When the driver terminal receives the destination, the destination is displayed and an information correction port is opened.

[0076] Step S103: receiving the driver's correction information based on the information correction port, and adjusting the destination according to the correction information;

[0077] Generally, the destination in the navigation information is the destination where the driver wants to park, but there are special cases. Therefore, the above content provides a destination correction solution.

[0078] Step S104: Determine a parking area with a preset number of floors, with the destination as the center and a preset increasing value as the radius;

[0079] The process of determining the anchorage area is relatively simple. In layman's terms, just draw a circle on the map.

[0080] As a preferred embodiment of the technical solution of the present invention, the step of receiving the driver's correction information based on the information correction port and adjusting the destination according to the correction information includes:

[0081] When the correction information is audio information, generating an audio file according to the audio information;

[0082] Decompressing the audio file to generate a pure waveform file;

[0083] Cutting out the waveform whose amplitude is greater than a preset amplitude threshold value from the pure waveform file to obtain a sub-waveform file;

[0084] Divide the sub-waveform file into frames to generate speech signals;

[0085] Extracting acoustic features from the speech signal to generate a feature matrix, and inputting the feature matrix into a preset recognition model to obtain text information;

[0086] The destination is adjusted based on the text information.

[0087] When users want to modify destination information while driving, they can type or input audio; both are common technical solutions, and similar functions are available on smartphones.

[0088] Specifically, after the audio file is generated, the first step is to decompress it, because the audio files used for transmission are compressed, and the decompression process is a necessary process.

[0089] Then, the high-amplitude waveform is intercepted based on the amplitude threshold. This is slightly different from traditional speech recognition. Traditional speech recognition uses silence removal in this process, which only requires removing the silent segments. However, since the vehicle end always follows the movement of the vehicle, there will be a lot of noise, so specific design is required.

[0090] Finally, acoustic features are extracted from the waveform and a feature matrix is ​​generated to convert the speech into a calculable quantity. The text information is confirmed based on the feature matrix, and the new destination is determined by the text information, completing the destination correction process.

[0091] Figure 3 This is a flowchart of the second sub-process of the method for managing roadside parking spaces based on unmanned driving. The step of sequentially acquiring the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device includes steps S201 to S204:

[0092] Step S201: determining in real time whether each parking space is occupied based on a preset sensor;

[0093] Step S202: When the parking space is occupied, the occupancy time is recorded according to a preset timer;

[0094] Step S203: acquiring vehicle images of each parking space according to a preset inspection route containing sampling points;

[0095] Step S204: Identify the license plate number in the vehicle image, and generate a parking table containing a time tag based on the license plate number and the occupancy time of the corresponding parking space as a vehicle parking parameter;

[0096] The parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time.

[0097] The above content is a relatively important part of the technical solution of the present invention, which specifically defines the vehicle parking parameters and defines the vehicle parking parameters as a parking table with a time tag; the parking tables at different times are different, among which the occupancy time is always updated according to the clock.

[0098] In one example of the technical solution of the present invention, the usage status of parking spaces is obtained through preset sensors, and images of vehicles in each parking space are periodically obtained by patrol vehicles, and then a parking table containing license plate numbers (vehicle information), parking space numbers (for distinguishing parking spaces) and occupancy times is established; the occupancy time can be obtained by reading the occupancy time recorded by the corresponding sensor through the parking space number.

[0099] As a preferred embodiment of the technical solution of the present invention, the step of sequentially acquiring the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device further includes:

[0100] Read and identify the vehicle image to determine whether there is a vehicle in each parking space;

[0101] Determine the working state of the sensor according to the presence of the vehicle; the working state includes normal state and abnormal state;

[0102] Generate maintenance instructions based on the judgment results.

[0103] In one example of the technical solution of the present invention, the vehicle images obtained by the sensor and the inspection vehicle are independent of each other. The vehicle image can easily determine whether there is a vehicle in the parking space. Therefore, the vehicle image can be used to determine whether there is a vehicle, and then the working status of the sensor can be determined.

[0104] Figure 4 This is a flowchart of the third sub-process of the method for managing roadside parking spaces based on unmanned driving. The step of calculating the vacancy probability of each parking space according to the vehicle stay parameters includes steps S301 to S303:

[0105] Step S301: Read the parking list and arrange the parking list according to the time tag;

[0106] Step S302: Counting the parking time of each license plate number in the parking table and calculating the average parking time of the corresponding vehicle;

[0107] Step S303: reading the occupancy time of each license plate number in the nearby parking table, comparing the occupancy time with the average parking time, and obtaining the idle probability.

[0108] Steps S301 to S303 provide a specific idle probability generation process. The principle is to collect historical parking data for a certain license plate, that is, the average parking time of the vehicle, and thereby determine whether the latest parking time reaches the average parking time. It can be imagined that when the parking time is less than the average parking time, the closer it is to the average parking time, the greater the idle probability; when the parking time exceeds the average parking time, the farther it is from the average parking time, the greater the idle probability.

[0109] The advantage of this is that when all parking spaces are full, drivers can choose to wait or park farther away. Generally, there are always vacancies in parking spaces, that is, there are parking spaces with a 100% probability of being vacant. Example 2

[0110] Figure 5 The structure block diagram of the roadside parking management system based on unmanned driving is shown in FIG. In an embodiment of the present invention, a roadside parking management system based on unmanned driving is provided. The system 10 includes:

[0111] The request receiving module 11 is used to receive a parking request including a destination sent by the driver and determine a parking area with a preset number of floors according to the destination; wherein the number of floors is proportional to the area range;

[0112] The parameter acquisition module 12 is used to sequentially acquire the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device; the vehicle parking parameters are used to represent the occupancy of the parking space;

[0113] The idle probability calculation module 13 is used to calculate the idle probability of each parking space according to the vehicle parking parameters;

[0114] The guidance map generating module 14 is configured to determine a parking guidance map based on all parking spaces and their vacancy probabilities, and send the parking guidance map to the driver's terminal.

[0115] The request receiving module 11 includes:

[0116] A destination reading unit is used to receive a parking request sent by the driver, obtain navigation information from the driver, and read the destination in the navigation information;

[0117] a port opening unit, configured to send the destination to the driver terminal, and when the driver terminal receives the destination, display the destination and open an information correction port;

[0118] a destination correction unit, configured to receive correction information from the driver based on the information correction port, and adjust the destination according to the correction information;

[0119] The area determination unit is used to determine a parking area with a preset number of floors with the destination as the center and a preset incremental value as the radius.

[0120] The parameter acquisition module 12 includes:

[0121] An occupancy determination unit, used to determine in real time whether each parking space is occupied based on preset sensors;

[0122] a duration recording unit, configured to record the occupancy duration according to a preset timer when the parking space is occupied;

[0123] An image acquisition unit, configured to acquire vehicle images of each parking space according to a preset inspection path containing sampling points;

[0124] A parking table generating unit is used to identify the license plate number in the vehicle image and generate a parking table containing a time tag according to the license plate number and the occupancy time of the corresponding parking space as a vehicle stay parameter;

[0125] The parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time.

[0126] The functions that can be achieved by the unmanned driving-based roadside parking management method are all completed by a computer device, which includes one or more processors and one or more memories, and the one or more memories store at least one program code. The program code is loaded and executed by the one or more processors to achieve the functions of the unmanned driving-based roadside parking management method.

[0127] The processor retrieves instructions from the memory one by one, analyzes the instructions, and then performs corresponding operations according to the instructions, generating a series of control commands, so that the various parts of the computer can automatically, continuously and coordinately operate as an organic whole, realizing program input, data input, calculation and output of results. The arithmetic operations or logical operations generated in this process are all completed by the operator; the memory includes a read-only memory (ROM), which is used to store computer programs, and a protection device is provided on the outside of the memory.

[0128] For example, a computer program may be divided into one or more modules, one or more of which are stored in a memory and executed by a processor to implement the present invention. One or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0129] Those skilled in the art will understand that the description of the above-mentioned service device is merely an example and does not constitute a limitation on the terminal device. It may include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, etc.

[0130] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the user terminal using various interfaces and lines.

[0131] The memory can be used to store computer programs and / or modules. The processor implements the various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and accessing data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as an information collection template display function and a product information release function); the data storage area may store data generated based on the use of the berth status display system (such as product information collection templates corresponding to different product types and product information required to be released by different product providers). Furthermore, the memory may include high-speed random access memory (RAM) and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash memory card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0132] If the modules / units integrated into the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention can also implement all or part of the modules / units in the above-mentioned system embodiments by instructing the relevant hardware through a computer program. The above-mentioned computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the functions of each of the above-mentioned system embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media.

[0133] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0134] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A roadside parking management method based on unmanned driving, characterized in that: The method comprises: Receive a parking request with a destination from the driver, and determine a parking area with a preset number of floors based on the destination; the number of floors is proportional to the area size; The vehicle parking parameters of each parking space in each parking area on each floor are sequentially acquired using a preset acquisition device. The step of acquiring the vehicle parking parameters includes: identifying the license plate number in the vehicle image, and generating a parking table containing a time tag based on the license plate number and the occupancy time of the corresponding parking space as the vehicle parking parameter; wherein the parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time; Calculating the vacancy probability of each parking space based on the vehicle parking parameters, the step of calculating the vacancy probability of each parking space includes: reading the parking table and sorting the parking table according to the time tags; counting the parking time of each license plate number in the parking table and calculating the average parking time of the corresponding vehicle; reading the occupancy time of each license plate number in the nearby parking table, comparing the occupancy time with the average parking time to obtain the vacancy probability; A parking guidance map is determined based on all parking spaces and their vacancy probabilities, and the parking guidance map is sent to the driver's terminal.

2. The method for managing roadside parking spaces based on unmanned driving according to claim 1, characterized in that: The step of receiving a parking request including a destination from the driver and determining a parking area with a preset number of floors according to the destination includes: Receive parking requests from the driver, obtain navigation information from the driver, and read the destination in the navigation information; Sending the destination to the driver terminal, and when the driver terminal receives the destination, displaying the destination and opening an information correction port; receiving correction information from the driver based on the information correction port, and adjusting the destination according to the correction information; With the destination as the center and the preset increasing value as the radius, the parking area with the preset number of floors is determined.

3. The method for managing roadside parking spaces based on unmanned driving according to claim 2, characterized in that: The step of receiving the driver's correction information based on the information correction port and adjusting the destination according to the correction information includes: When the correction information is audio information, generating an audio file according to the audio information; Decompressing the audio file to generate a pure waveform file; Cutting out the waveform whose amplitude is greater than a preset amplitude threshold value from the pure waveform file to obtain a sub-waveform file; Divide the sub-waveform file into frames to generate speech signals; Extracting acoustic features from the speech signal to generate a feature matrix, and inputting the feature matrix into a preset recognition model to obtain text information; The destination is adjusted based on the text information.

4. The method for managing roadside parking spaces based on unmanned driving according to claim 1, characterized in that: The step of sequentially acquiring the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device includes: Determine in real time whether each parking space is occupied based on the preset sensors; When the parking space is occupied, the occupancy time is recorded according to a preset timer; Obtain vehicle images of each parking space according to a preset inspection route containing sampling points; Identify the license plate number in the vehicle image and generate a parking table with a time tag based on the license plate number and the corresponding parking space occupancy time as the vehicle parking parameter; The parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time.

5. The method for managing roadside parking spaces based on unmanned driving according to claim 1, characterized in that: The step of sequentially acquiring the vehicle parking parameters of each parking space in each parking area on each floor according to a preset acquisition device further includes: Read and identify the vehicle image to determine whether there is a vehicle in each parking space; Determine the working state of the sensor according to the presence of the vehicle; the working state includes normal state and abnormal state; Generate maintenance instructions based on the judgment results.

6. A roadside parking management system based on unmanned driving, characterized in that: The system is used to implement the unmanned roadside parking management method according to claim 1, and the system includes: A request receiving module is used to receive a parking request including a destination from the driver and determine a parking area with a preset number of floors based on the destination; the number of floors is proportional to the area size; The parameter acquisition module is used to sequentially acquire vehicle parking parameters for each parking space in each parking area on each floor using a preset acquisition device. The step of acquiring vehicle parking parameters includes: identifying the license plate number in the vehicle image, and generating a parking table containing a time tag based on the license plate number and the occupancy time of the corresponding parking space as the vehicle parking parameter; wherein the parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time; The idle probability calculation module is configured to calculate the idle probability of each parking space based on the vehicle parking parameters. The steps of calculating the idle probability of each parking space include: reading the parking table and sorting the parking table according to the time tags; counting the parking time of each license plate number in the parking table and calculating the average parking time of the corresponding vehicles; reading the occupancy time of each license plate number in the nearby parking table, comparing the occupancy time with the average parking time to obtain the idle probability; The guidance map generation module is used to determine a parking guidance map based on all parking spaces and their vacancy probabilities, and send the parking guidance map to the driver's terminal.

7. The unmanned roadside parking management system according to claim 6 is characterized in that: The request receiving module includes: A destination reading unit is used to receive a parking request sent by the driver, obtain navigation information from the driver, and read the destination in the navigation information; a port opening unit, configured to send the destination to the driver terminal, and when the driver terminal receives the destination, display the destination and open an information correction port; a destination correction unit, configured to receive correction information from the driver based on the information correction port, and adjust the destination according to the correction information; The area determination unit is used to determine a parking area with a preset number of floors with the destination as the center and a preset incremental value as the radius.

8. The unmanned roadside parking management system according to claim 6 is characterized in that: The parameter acquisition module includes: An occupancy determination unit, used to determine in real time whether each parking space is occupied based on preset sensors; a duration recording unit, configured to record the occupancy duration according to a preset timer when the parking space is occupied; An image acquisition unit, configured to acquire vehicle images of each parking space according to a preset inspection path containing sampling points; A parking table generating unit is used to identify the license plate number in the vehicle image and generate a parking table containing a time tag according to the license plate number and the occupancy time of the corresponding parking space as a vehicle stay parameter; The parking table includes a parking space number item, a license plate number item, and an occupancy time item; the occupancy time item jumps in real time.

9. An unmanned roadside parking management inspection vehicle, characterized in that: The inspection vehicle includes one or more processors and one or more memories, and at least one program code is stored in the one or more memories. When the program code is loaded and executed by the one or more processors, the unmanned roadside parking management method according to any one of claims 1 to 5 is implemented.

Images