Parking space recommendation method, device and equipment and storage medium

Abstract

The invention discloses a parking space recommendation method, device and equipment and a storage medium, and the method comprises the steps: carrying out the vehicle recognition of a collected entrance monitoring image, and obtaining a vehicle recognition result of a target vehicle; obtaining parking space attribute information of each idle parking space in the parking lot, wherein the parking space attribute information is used for representing feature information of the parking space and the surrounding environment thereof; based on the vehicle identification result and the parking space attribute information of each idle parking space, analyzing to obtain a recommendation coefficient of each idle parking space; and based on the recommendation coefficient of each idle parking space, determining a target parking space, and recommending the target parking space to the target vehicle. According to the invention, through combining the vehicle identification result and the parking space attribute information of each idle parking space, the recommendation coefficient of each idle parking space is obtained through analysis, and then according to the recommendation coefficient, the optimal target parking space is screened out from each idle parking space and is allocated to the vehicle owner, so that the parking convenience and experience of the vehicle owner are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of parking space management and control, and in particular to a parking space recommendation method, device, equipment and storage medium. Background Art

[0002] In a large parking lot scenario, after the car owner enters the parking lot, he needs to search the huge parking lot area to find a suitable parking space. However, due to the vast area of ​​the parking lot, the vehicle may need to travel a long distance when looking for a suitable parking space, and the frequent detours and the process of looking for parking spaces will reduce the parking experience of the car owner. Summary of the invention

[0003] Based on this, it is necessary to provide a parking space recommendation method, device, equipment and storage medium for the above technical problems to solve at least one of the above technical problems.

[0004] The present invention provides a parking space recommendation method, comprising:

[0005] Perform vehicle recognition on the collected entry monitoring images to obtain the vehicle recognition result of the target vehicle;

[0006] Acquire parking space attribute information of each vacant parking space in the parking lot, wherein the parking space attribute information is used to characterize characteristic information of the parking space and its surrounding environment;

[0007] Based on the vehicle recognition result and the parking space attribute information of each of the vacant parking spaces, analyzing and obtaining a recommendation coefficient for each of the vacant parking spaces;

[0008] Based on the recommendation coefficient of each of the vacant parking spaces, a target parking space is determined, and the target parking space is recommended to the target vehicle.

[0009] Optionally, according to a parking space recommendation method provided by the present invention, the parking space attribute information includes at least one or more of the parking space size, parking space type, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure.

[0010] Optionally, according to a parking space recommendation method provided by the present invention, the step of analyzing and obtaining a recommendation coefficient of each of the vacant parking spaces based on the vehicle recognition result and the parking space attribute information of each of the vacant parking spaces includes:

[0011] Based on one or more of the size of each parking space, the type of parking space, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located and the parking space layout structure, as well as the vehicle type and vehicle size in the vehicle identification result, the recommendation coefficient of each of the vacant parking spaces is determined.

[0012] Optionally, according to a parking space recommendation method provided by the present invention, the recommendation coefficient of each of the vacant parking spaces is determined based on one or more of the size of each of the parking spaces, the type of parking space, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure, as well as the vehicle type and vehicle size in the vehicle recognition result, including:

[0013] Determining a first score for each of the vacant parking spaces based on the vehicle size and the parking space size of each of the vacant parking spaces;

[0014] Determining a second score for each of the vacant parking spaces based on the distance between each of the vacant parking spaces and the parking lot entrance;

[0015] Determining a third score of each of the vacant parking spaces based on the distance between each of the vacant parking spaces and the elevator;

[0016] Determining a fourth score for each of the vacant parking spaces based on a congestion level of a path from the target vehicle to the corresponding vacant parking space;

[0017] determining a fifth score for each of the vacant parking spaces based on the vehicle type;

[0018] Determine a sixth score for each of the vacant parking spaces based on the floor where each of the vacant parking spaces is located;

[0019] Determining a seventh score of each of the vacant parking spaces based on the parking space layout structure of each of the vacant parking spaces;

[0020] determining an eighth score of each of the vacant parking spaces based on the parking space type of each of the vacant parking spaces;

[0021] A recommendation coefficient for each of the vacant parking spaces is calculated based on any one or more of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, the seventh score, and the eighth score.

[0022] Optionally, according to a parking space recommendation method provided by the present invention, the congestion level of the path from the target vehicle to the corresponding parking space is determined based on the following steps:

[0023] Acquire lane monitoring images of each lane corresponding to the path;

[0024] Determining the number of vehicles on each lane based on each lane monitoring image;

[0025] A congestion level of the path is determined based on the number of vehicles in each of the lanes.

[0026] Optionally, according to a parking space recommendation method provided by the present invention, the determining a target parking space based on a recommendation coefficient of each of the vacant parking spaces, and recommending the target parking space to the target vehicle comprises:

[0027] Sorting the recommendation coefficients of the vacant parking spaces;

[0028] Based on the sorting result, the vacant parking space with the highest recommendation coefficient is used as the target parking space, and the target parking space is recommended to the target vehicle.

[0029] Optionally, according to a parking space recommendation method provided by the present invention, after recommending the target parking space to the target vehicle, the method further comprises:

[0030] Acquire the target parking space position of the target parking space and the current position of the target vehicle;

[0031] A navigation route is generated according to the target parking space position and the current position of the target vehicle to guide the vehicle owner to drive the target vehicle to park at the target parking space.

[0032] The present invention also provides a parking space recommendation device, comprising:

[0033] The recognition module is used to perform vehicle recognition on the collected entry monitoring images and obtain the vehicle recognition result of the target vehicle;

[0034] An acquisition module, used to acquire parking space attribute information of each vacant parking space in the parking lot, wherein the parking space attribute information refers to a plurality of characteristic information covering the parking space itself and the surrounding environment of the parking space;

[0035] An analysis module, configured to analyze and obtain a recommendation coefficient for each of the vacant parking spaces based on the vehicle identification result and the parking space attribute information of each of the vacant parking spaces;

[0036] The recommendation module is used to determine a target parking space based on the recommendation coefficient of each of the vacant parking spaces, and recommend the target parking space to the target vehicle.

[0037] The present invention also provides a computer device, comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor implements the above-mentioned parking space recommendation method when executing the computer-readable instructions.

[0038] The present invention also provides one or more readable storage media storing computer-readable instructions, and the computer-readable instructions implement the above-mentioned parking space recommendation method when executed by a processor.

[0039] The above-mentioned parking space recommendation method, device, equipment and storage medium, the method includes: performing vehicle recognition on the collected entry monitoring image to obtain the vehicle recognition result of the target vehicle; obtaining the parking space attribute information of each vacant parking space in the parking lot, the parking space attribute information is used to characterize the characteristic information of the parking space and its surrounding environment; based on the vehicle recognition result and the parking space attribute information of each vacant parking space, analyzing and obtaining the recommendation coefficient of each vacant parking space; based on the recommendation coefficient of each vacant parking space, determining the target parking space, and recommending the target parking space to the target vehicle. The present invention combines the vehicle recognition result and the parking space attribute information of each vacant parking space to analyze and obtain the recommendation coefficient of each vacant parking space, and then according to the recommendation coefficient, selects the optimal target parking space from each vacant parking space and allocates it to the car owner, thereby improving the parking convenience and parking experience of the car owner. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0041] Figure 1 This is one of the flow charts of the parking space recommendation method in one embodiment of the present invention;

[0042] Figure 2 This is a second flow chart of a parking space recommendation method according to an embodiment of the present invention;

[0043] Figure 3 This is a third flow chart of a parking space recommendation method according to an embodiment of the present invention;

[0044] Figure 4 is a structural schematic diagram of a parking space recommendation device in one embodiment of the present invention;

[0045] Figure 5 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] The terms used in one or more embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present invention. The singular forms of "a", "said" and "the" used in one or more embodiments of the present invention are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of the present invention refers to and includes any or all possible combinations of one or more associated listed items.

[0048] In one embodiment, if Figure 1 As shown, Figure 1 FIG. 1 is a flow chart of a method for recommending a parking space in an embodiment of the present invention. The method for recommending a parking space in an embodiment of the present invention includes the following steps:

[0049] Step S11, performing vehicle recognition on the collected entry monitoring image to obtain a vehicle recognition result of the target vehicle;

[0050] It should be noted that the vehicle recognition results include the target vehicle's license plate information, vehicle type, vehicle size and other information. Vehicle types include new energy vehicles and non-new energy vehicles.

[0051] In one embodiment, an image acquisition device is provided at the entrance and exit of the parking lot, and the image acquisition device can acquire an entry monitoring image, and then perform vehicle recognition on the entry monitoring image to obtain a vehicle recognition result of the target vehicle.

[0052] Step S12, obtaining parking space attribute information of each vacant parking space in the parking lot;

[0053] It should be noted that in this embodiment, the status of the parking space needs to be monitored, wherein the status of the parking space includes the use status and the idle status; optionally, a status monitoring device is provided on the parking space to monitor the status of the parking space, and a camera can also be used to monitor whether a vehicle is parked in the parking space, thereby determining the status of the parking space. Then, according to the status of each parking space, the parking space in the parking lot that is in an idle state is determined.

[0054] It should be noted that the parking space attribute information is used to characterize the characteristic information of the parking space and its surrounding environment. The parking space attribute information includes the parking space size, parking space type, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure. Among them, the parking space size includes the size of small cars and large cars, and the parking space type includes new energy parking spaces and non-new energy parking spaces; the parking space layout structure includes vertical parking spaces, horizontal parking spaces (sideways), diagonal parking spaces, parent-child parking spaces, and difficult parking spaces (for example, parking spaces with obstacles such as pillars that are difficult to park), among which, parent-child parking spaces refer to parking spaces that can park two vehicles in one parking space, usually used to park vehicles of different sizes, for example, a large car and a small car; the parking lot may also include indoor parking areas and outdoor parking areas, and the parking space types include indoor parking spaces and outdoor parking spaces. In other embodiments, the parking space attribute information may also include information such as the number of vacant parking spaces in the area to which the parking space belongs.

[0055] Step S13, based on the vehicle recognition result and the parking space attribute information of each vacant parking space, analyzing and obtaining the recommendation coefficient of each vacant parking space;

[0056] It should be noted that the recommendation coefficient is used to characterize the recommendation priority of the free parking spaces. In one embodiment, based on the parking space size, parking space type, distance between the parking space and the parking lot entrance, distance between the parking space and the elevator, congestion level of the path from the target vehicle to the corresponding parking space, and the floor where the parking space is located, as well as the vehicle type and vehicle size in the vehicle identification result of the target vehicle, the score of at least one attribute information corresponding to each free parking space is calculated to achieve quantitative scoring of each attribute information of the parking space. Furthermore, based on the score of at least one attribute information corresponding to each free parking space, the recommendation coefficient of each free parking space is calculated. Through the multi-dimensional evaluation of the parking space, it is ensured that the score of each parking space accurately reflects its potential impact on the user's parking convenience and comfort.

[0057] Step S14: determining a target parking space based on the recommendation coefficients of the vacant parking spaces, and recommending the target parking space to the target vehicle.

[0058] In one embodiment, the recommendation coefficients of the vacant parking spaces are sorted to obtain a sorting result, and then based on the sorting result, the vacant parking space with the highest recommendation coefficient is used as the target parking space, and the target parking space is recommended to the target vehicle.

[0059] The present invention, through the above scheme, includes: performing vehicle recognition on the collected entry monitoring images to obtain the vehicle recognition result of the target vehicle; obtaining the parking space attribute information of each vacant parking space in the parking lot, the parking space attribute information is used to characterize the characteristic information of the parking space and its surrounding environment; based on the vehicle recognition result and the parking space attribute information of each vacant parking space, analyzing and obtaining the recommendation coefficient of each vacant parking space; based on the recommendation coefficient of each vacant parking space, determining the target parking space, and recommending the target parking space to the target vehicle. The embodiment of the present invention combines the vehicle recognition result and the parking space attribute information of each vacant parking space to analyze and obtain the recommendation coefficient of each vacant parking space, and then according to the recommendation coefficient, selects the optimal target parking space from each vacant parking space and allocates it to the car owner, thereby improving the parking convenience and parking experience of the car owner.

[0060] like Figure 2 As shown, Figure 2 FIG2 is a flow chart of a parking space recommendation method in an embodiment of the present invention. In an embodiment of the present invention, based on one or more of the size of each parking space, the type of parking space, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure, as well as the vehicle type and vehicle size in the vehicle recognition result, the recommendation coefficient of each vacant parking space is determined, including:

[0061] Step S21, determining a first score of each vacant parking space based on the size of the vehicle and the size of each vacant parking space;

[0062] In one embodiment, based on the vehicle size, it is determined whether the target vehicle is a small vehicle or a large vehicle, wherein a large vehicle can only be allocated a large parking space, while a small vehicle is preferentially allocated a small parking space, with a large parking space being a secondary consideration. Thus, according to the vehicle size of the target vehicle, the parking space size of each free parking space and its associated weight, a first score of each free parking space is calculated, wherein the weight is used to characterize the importance of the parking space size factor in the parking space recommendation process, and the weight can be set according to the actual situation, and the higher the importance, the higher the weight setting.

[0063] Step S22, determining a second score for each vacant parking space based on the distance between each vacant parking space and the parking lot entrance;

[0064] In one embodiment, the distance between a parking space and the entrance of a parking lot is an important indicator for measuring the convenience of a parking space, and therefore has an advantage in the parking space scoring. Based on the distance between each free parking space and the entrance of the parking lot and the weight associated therewith, the second score of each free parking space is determined. For example, the initial score is set to P3, the distance from the entrance of the parking lot to each parking space is calculated, and the score of the parking space is reduced by 1 for each parking space interval, and the second score = the score of the parking space * the weight, wherein the weight is used to characterize the importance of the distance between the parking space and the entrance of the parking lot in the parking space recommendation process, and the weight can be set according to the actual situation, and the higher the importance, the higher the weight setting.

[0065] Step S23, determining a third score of each vacant parking space based on the distance between each vacant parking space and the elevator;

[0066] In one embodiment, the distance between a parking space and an elevator is an important indicator for measuring the convenience of a parking space. Monitor and record the distance between each parking space and the elevator. Parking spaces that are closer are undoubtedly more convenient for users, especially on rainy days or when carrying heavy objects, and therefore have an advantage in the scoring. According to the distance between each free parking space and the elevator and its associated weight, the third score of each free parking space is calculated. For example, the initial score is set to P3, and the distance from the elevator to each parking space in the parking lot is calculated. For each parking space interval, the score of the parking space is reduced by 1. The third score = the score of the parking space * weight, wherein the weight is used to characterize the importance of the distance between the parking space and the elevator in the parking space recommendation process. The weight can be set according to the actual situation. The higher the importance, the higher the weight setting.

[0067] Step S24, determining a fourth score of each free parking space based on the congestion level of the path from the target vehicle to the corresponding parking space;

[0068] In one embodiment, the lane monitoring images of each lane corresponding to the path are obtained; then, the vehicle recognition is performed on the lane monitoring images to determine the number of vehicles on each lane, and further, based on the number of vehicles in each lane, the congestion level of the path is determined, and then the fourth score of each free parking space is calculated according to the congestion level of the path from the target vehicle to the corresponding parking space and its associated weight. In a specific example, the congestion level includes four levels: smooth, generally smooth, generally congested, and congested. Different congestion levels correspond to different scores. The fourth score = the score corresponding to the congestion level * weight, wherein the weight is used to characterize the importance of the congestion level factor in the parking space recommendation process. The weight can be set according to the actual situation. The higher the importance, the higher the weight setting.

[0069] Step S25, determining a fifth score of each vacant parking space based on the vehicle type;

[0070] In one embodiment, whether the target vehicle is a new energy vehicle can be determined based on the vehicle type, wherein non-new energy vehicles are preferentially allocated non-new energy parking spaces, and new energy vehicles are preferentially allocated new energy parking spaces; then, based on the vehicle type, the scores of the remaining vacant parking spaces are determined, optionally, when the target vehicle is a new energy vehicle, the score of the new energy parking space is set to 5, and the score of the non-energy parking space is set to 1; when the target vehicle is a non-new energy vehicle, the score of the non-new energy parking space is set to 5, and the score of the energy parking space is set to 1; then, based on the scores of each vacant parking space and its associated weights, the fifth score of each vacant parking space is calculated, wherein the weight is used to characterize the importance of the vehicle type factor in the parking space recommendation process, and the weight can be set according to actual conditions, and the higher the importance, the higher the weight setting.

[0071] Step S26, determining a sixth score of each vacant parking space based on the floor where each vacant parking space is located;

[0072] In one embodiment, the floor where each vacant parking space is located is determined, and then the sixth score of each vacant parking space is calculated according to the score corresponding to the floor where each vacant parking space is located and the associated weight, wherein the farther the floor is from the parking lot entrance, the lower the corresponding score, for example, the score of the negative first floor is -10, the score of the negative second floor is -20, the score of the negative third floor is -30, and the score of the ground parking lot is 0. In other embodiments, other scores can also be set according to actual requirements. The sixth score = the score corresponding to the floor * weight, wherein the weight is used to characterize the importance of the factor of the floor where the parking space is located in the parking space recommendation process, and the weight can be set according to actual conditions. The higher the importance, the higher the weight setting.

[0073] Step S27, determining a seventh score of each vacant parking space based on the parking space layout structure of each vacant parking space;

[0074] In one embodiment, the parking space layout structure includes vertical parking spaces, transverse parking spaces (side), diagonal parking spaces, parent-child parking spaces, and difficult parking spaces (for example, parking spaces with obstacles such as pillars that are difficult to park). The scores corresponding to parking spaces with different layout structures are different. The scores associated with the parking space layout structure of each vacant parking space are determined, and then the seventh score of each vacant parking space is calculated according to the scores corresponding to each vacant parking space and the weights associated with them; for example, the score of the vertical parking space is 30, the score of the transverse parking space (side) is 20, the score of the diagonal parking space is 20, the score of the parent-child parking space is 10, and the score of the difficult parking space (such as non-standard parking spaces and spaces with obstacles such as pillars that are difficult to park with the lowest priority) is 0. The seventh score = the score associated with the parking space layout structure of the vacant parking space * the weight, wherein the weight is used to characterize the importance of the parking space layout structure factor in the parking space recommendation process. The weight can be set according to the actual situation. The higher the importance, the higher the weight setting.

[0075] Step S28, determining an eighth score of each vacant parking space based on the parking space type of each vacant parking space;

[0076] In one embodiment, the parking space types are indoor parking spaces and outdoor parking spaces. Different types of parking spaces have different corresponding scores. The scores associated with the parking space types of each vacant parking space are determined. For example, the score of indoor parking spaces is 10, and the score of outdoor parking spaces is 5. Then, according to the scores corresponding to each vacant parking space and the weights associated with the parking space types, an eighth score of each vacant parking space is calculated. The weight is used to characterize the importance of the parking space type factor in the parking space recommendation process. The weight can be set according to the actual situation. The higher the importance, the higher the weight setting.

[0077] Step S29, calculating the recommendation coefficient of each vacant parking space according to any one or more of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, the seventh score and the eighth score.

[0078] In one embodiment, a comprehensive score is given to each vacant parking space based on any one or more of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, the seventh score and the eighth score to obtain a recommendation coefficient for each vacant parking space. For example, the recommendation coefficient for the vacant parking space = the first score + the second score + the third score + the fourth score + the fifth score + the sixth score + the seventh score + the eighth score.

[0079] In other embodiments, in order to better manage and allocate parking spaces, parking lots are usually divided into multiple areas, and the parking space attribute information may also include the number of free parking spaces in the area to which the parking space belongs. When there are more free parking spaces in a certain area, the parking spaces in this area are allocated preferentially. Based on the number of free parking spaces in the area to which each free parking space belongs, the scores of different areas are determined, and then the scores of each free parking space are calculated according to the scores of different areas and their associated weights, so as to calculate the recommendation coefficient of the free parking space in combination with the above scores.

[0080] Through the above scheme, the embodiment of the present invention realizes quantitative scoring of multi-dimensional attribute information of parking spaces, obtains the recommendation coefficient of each vacant parking space, and thus comprehensively considers various factors of the parking space, selects the best pair of parking spaces from each vacant parking space and allocates them to the car owner, thereby improving the convenience of parking for the car owner and the traffic efficiency.

[0081] like Figure 3 As shown, Figure 3 FIG3 is a flow chart of a parking space recommendation method according to an embodiment of the present invention. In an embodiment of the present invention, after recommending a target parking space to a target vehicle, the method further includes:

[0082] Step S31, obtaining the target parking space position of the target parking space and the current position of the target vehicle;

[0083] Step S32, generating a navigation route according to the target parking space position and the current position of the target vehicle to guide the vehicle owner to drive the target vehicle to park at the target parking space.

[0084] Specifically, the target parking space position of the target parking space is obtained, and the current position of the target vehicle is determined; then, based on the target parking space position and the current position of the target vehicle, combined with the map data of the parking lot, a navigation route from the current position to the target parking space position is generated, and then the navigation route is sent to the owner of the target vehicle to guide the owner to drive the target vehicle to park at the target parking space.

[0085] Through the above scheme, the embodiment of the present invention realizes that after allocating a parking space, a navigation route is generated to guide the car owner according to the target parking space position of the target parking space and the current position of the target vehicle, thereby reducing the time required for the car owner to find a parking space and improving parking efficiency.

[0086] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0087] In one embodiment, a parking space recommendation device is provided, which corresponds one-to-one to the parking space recommendation method in the above embodiment. Figure 4 As shown, Figure 4 : is a schematic diagram of a parking space recommendation device in one embodiment of the present invention, the parking space recommendation device comprises:

[0088] The recognition module 41 is used to perform vehicle recognition on the collected entry monitoring image to obtain a vehicle recognition result of the target vehicle;

[0089] An acquisition module 42 is used to acquire parking space attribute information of each vacant parking space in the parking lot, wherein the parking space attribute information refers to a plurality of characteristic information covering the parking space itself and the surrounding environment of the parking space;

[0090] An analysis module 43 is used to analyze and obtain a recommendation coefficient for each vacant parking space based on the vehicle identification result and the parking space attribute information of each vacant parking space;

[0091] The recommendation module 44 is used to determine a target parking space based on the recommendation coefficient of each vacant parking space, and recommend the target parking space to the target vehicle.

[0092] Parking space recommended devices include:

[0093] The parking space attribute information includes at least one or more of the parking space size, parking space type, distance between the parking space and the parking lot entrance, distance between the parking space and the elevator, congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure.

[0094] The analysis module 43 is also used for:

[0095] The recommendation coefficient of each vacant parking space is determined based on one or more of the size of each parking space, the type of parking space, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located and the parking space layout structure, as well as the vehicle type and vehicle size in the vehicle recognition result.

[0096] The analysis module 43 is also used for:

[0097] Determine a first score for each vacant parking space based on the size of the vehicle and the parking space dimensions of each vacant parking space;

[0098] Determining a second score for each vacant parking space based on the distance between each vacant parking space and the parking lot entrance;

[0099] Determine a third score of each vacant parking space based on the distance between each vacant parking space and the elevator;

[0100] Determining a fourth score for each free parking space based on a congestion level of a path from the target vehicle to the corresponding parking space;

[0101] Determining a fifth score for each vacant parking space based on the vehicle type;

[0102] Determine a sixth score of each vacant parking space based on the floor where each vacant parking space is located;

[0103] Determine the seventh score of each vacant parking space based on the parking space layout structure of each vacant parking space;

[0104] Determining an eighth score of each vacant parking space based on the parking space type of each vacant parking space;

[0105] The recommendation coefficient of each vacant parking space is calculated based on any one or more of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, the seventh score and the eighth score.

[0106] Parking space recommended devices include:

[0107] A lane monitoring image acquisition module is used to acquire lane monitoring images of each lane corresponding to the path;

[0108] A first determination module, used to determine the number of vehicles on each lane based on the monitoring images of each lane;

[0109] The second determination module is used to determine the congestion level of the path based on the number of vehicles in each lane.

[0110] The recommendation module 44 is also used to:

[0111] Sort the recommendation coefficients of each vacant parking space;

[0112] Based on the sorting results, the vacant parking space with the highest recommendation coefficient is used as the target parking space, and the target parking space is recommended to the target vehicle.

[0113] Parking space recommended devices include:

[0114] A position acquisition module, used to acquire the target parking space position of the target parking space and the current position of the target vehicle;

[0115] The guidance module is used to generate a navigation route according to the target parking space position and the current position of the target vehicle, so as to guide the vehicle owner to drive the target vehicle to park at the target parking space.

[0116] For the specific definition of the parking space recommendation device, please refer to the definition of the parking space recommendation method above, which will not be repeated here. Each module in the above parking space recommendation device can be implemented in whole or in part by software, hardware and their combination. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0117] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5 As shown, Figure 5 : is a schematic diagram of a computer device in an embodiment of the present invention. The computer device includes a processor, a memory, a network interface and a database connected by a device bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a readable storage medium and an internal memory. The readable storage medium stores an operating device, a computer-readable instruction and a database. The internal memory provides an environment for the operation of the operating device and the computer-readable instructions in the readable storage medium. The database of the computer device is used to store data involved in the parking space recommendation method. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instruction is executed by the processor, a parking space recommendation method is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0118] In one embodiment, a computer device is provided. The computer device may be a terminal device, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, and a network interface connected through a device bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a readable storage medium. The readable storage medium stores computer-readable instructions. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instructions are executed by the processor, a parking space recommendation method is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0119] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, and when the processor executes the computer-readable instructions, the steps of the parking space recommendation method described above are implemented. The method includes: obtaining parking space attribute information of each vacant parking space in a parking lot, wherein the parking space attribute information is used to characterize the characteristic information of the parking space and its surrounding environment; analyzing and obtaining the recommendation coefficient of each vacant parking space based on the vehicle recognition result and the parking space attribute information of each vacant parking space; determining the target parking space based on the recommendation coefficient of each vacant parking space, and recommending the target parking space to the target vehicle.

[0120] In one embodiment, a readable storage medium is provided, the readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps of the parking space recommendation method as described above are implemented. A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through computer-readable instructions, and the computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When the computer-readable instructions are executed, they may include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0121] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0122] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A parking space recommendation method, characterized in that: include: Perform vehicle recognition on the collected entry monitoring images to obtain the vehicle recognition result of the target vehicle; Acquire parking space attribute information of each vacant parking space in the parking lot, wherein the parking space attribute information is used to characterize characteristic information of the parking space and its surrounding environment; Based on the vehicle recognition result and the parking space attribute information of each of the vacant parking spaces, analyzing and obtaining a recommendation coefficient for each of the vacant parking spaces; Based on the recommendation coefficient of each of the vacant parking spaces, a target parking space is determined, and the target parking space is recommended to the target vehicle.

2. The parking space recommendation method according to claim 1, characterized in that: The parking space attribute information includes at least one or more of the parking space size, parking space type, distance between the parking space and the parking lot entrance, distance between the parking space and the elevator, congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure.

3. The parking space recommendation method according to claim 2, characterized in that: The analyzing and obtaining the recommendation coefficient of each vacant parking space based on the vehicle recognition result and the parking space attribute information of each vacant parking space includes: Based on one or more of the size of each parking space, the type of parking space, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located and the parking space layout structure, as well as the vehicle type and vehicle size in the vehicle identification result, the recommendation coefficient of each of the vacant parking spaces is determined.

4. The parking space recommendation method according to claim 3, characterized in that: The determining of the recommendation coefficient of each of the vacant parking spaces based on one or more of the size of each of the parking spaces, the type of parking space, the distance between the parking space and the parking lot entrance, the distance between the parking space and the elevator, the congestion level of the path from the target vehicle to the corresponding parking space, the floor where the parking space is located, and the parking space layout structure, as well as the vehicle type and vehicle size in the vehicle recognition result, includes: Determine a first score for each of the vacant parking spaces based on the vehicle size and the parking space size of each of the vacant parking spaces; Determining a second score for each of the vacant parking spaces based on the distance between each of the vacant parking spaces and the parking lot entrance; Determining a third score of each of the vacant parking spaces based on the distance between each of the vacant parking spaces and the elevator; Determining a fourth score for each of the vacant parking spaces based on a congestion level of a path from the target vehicle to the corresponding vacant parking space; determining a fifth score for each of the vacant parking spaces based on the vehicle type; Determine a sixth score for each of the vacant parking spaces based on the floor where each of the vacant parking spaces is located; Determining a seventh score of each of the vacant parking spaces based on the parking space layout structure of each of the vacant parking spaces; determining an eighth score of each of the vacant parking spaces based on the parking space type of each of the vacant parking spaces; A recommendation coefficient for each of the vacant parking spaces is calculated based on any one or more of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, the seventh score, and the eighth score.

5. The parking space recommendation method according to claim 2, characterized in that: The congestion level of the path from the target vehicle to the corresponding parking space is determined based on the following steps: Acquire lane monitoring images of each lane corresponding to the path; Determining the number of vehicles on each lane based on each lane monitoring image; A congestion level of the path is determined based on the number of vehicles in each of the lanes.

6. The parking space recommendation method according to claim 1, characterized in that: The determining a target parking space based on the recommendation coefficient of each of the vacant parking spaces, and recommending the target parking space to the target vehicle comprises: Sorting the recommendation coefficients of the vacant parking spaces; Based on the sorting result, the vacant parking space with the highest recommendation coefficient is used as the target parking space, and the target parking space is recommended to the target vehicle.

7. The parking space recommendation method according to claim 1, characterized in that: After recommending the target parking space to the target vehicle, the method further includes: Acquire the target parking space position of the target parking space and the current position of the target vehicle; A navigation route is generated according to the target parking space position and the current position of the target vehicle to guide the vehicle owner to drive the target vehicle to park at the target parking space.

8. A parking space recommendation device, characterized in that: include: The recognition module is used to perform vehicle recognition on the collected entry monitoring images and obtain the vehicle recognition result of the target vehicle; An acquisition module, used to acquire parking space attribute information of each vacant parking space in the parking lot, wherein the parking space attribute information refers to a plurality of characteristic information covering the parking space itself and the surrounding environment of the parking space; An analysis module, configured to analyze and obtain a recommendation coefficient for each of the vacant parking spaces based on the vehicle identification result and the parking space attribute information of each of the vacant parking spaces; The recommendation module is used to determine a target parking space based on the recommendation coefficient of each of the vacant parking spaces, and recommend the target parking space to the target vehicle.

9. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executed on the processor, characterized in that: When the processor executes the computer-readable instructions, the parking space recommendation method according to any one of claims 1 to 7 is implemented.

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

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