Automatic parking stall recommendation method, system and equipment

Abstract

The invention discloses an automatic parking stall recommendation method, system and device, and belongs to the technical field of vehicle automatic control. The method comprises the following steps: starting an automatic parking function of a vehicle, and acquiring associated information of each parking space in a to-be-parked area through a vehicle detection device; the associated information comprises vehicle attribute information of adjacent parking spaces and size information of each parking space; classifying the parking spaces according to the associated information to obtain at least two types of parking spaces; the classification comprises classification based on attributes of vehicles in adjacent parking spaces and classification based on sizes of the parking spaces; various parking spaces are displayed in a user interface with different identifiers; and when a selection instruction of a user for the target parking space is received, executing a corresponding automatic parking process according to the type of the target parking space. By intelligently recognizing the value of the vehicle around the parking space and the actual available space of the parking space, hierarchical recommendation and risk prompt of the parking space are realized, and the safety of automatic parking and the user experience are improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle intelligent control technology, specifically to an automatic parking space recommendation method, system, and device. Background Technology

[0002] Automated parking technology, as an important branch of intelligent driving, has achieved a leap from "assisted parking" to "fully automated parking" after years of development. Current automated parking systems typically identify vacant parking spaces using sensors such as cameras and radar mounted on the vehicle, then plan a parking path based on preset algorithms, and finally control the vehicle to complete the parking operation. However, in real-world applications, simply "identifying vacant parking spaces" cannot fully meet users' safety and experience needs. Existing technologies have the following key problems:

[0003] 1. Existing automated parking systems lack a parking space risk assessment and recommendation mechanism;

[0004] The core objective of existing automated parking systems is to find vacant parking spaces and complete the parking maneuver, without conducting risk assessments on the surrounding environment and the suitability of the space's dimensions. For example, when there are high-value vehicles (such as luxury cars) parked in adjacent spaces within the waiting area, the system fails to recognize this risk and will still guide the user to park there. This can lead to significant financial losses should a collision occur during parking or exiting the vehicle. Furthermore, while some parking spaces may have sufficient width to accommodate a vehicle, the space for the side doors to open after parking is insufficient. Users must first exit the vehicle to allow passengers to disembark before re-parking, severely impacting travel efficiency and the overall experience.

[0005] 2. Existing parking space recommendation technologies focus on parking space search rather than parking space filtering;

[0006] Patent novelty searches and technology research revealed that currently available parking space recommendation technologies mostly focus on how to quickly find available parking spaces, which is fundamentally different from the "risk screening and recommendation after finding a parking space" in this invention. Specifically:

[0007] Patent CN113971893A discloses a parking space recommendation method, device, and storage medium. Its technical solution generates parking space recommendation information based on the user's vehicle's target location, and combines this with a user-defined parking space preference model and a historical parking space model for filtering and weighting. The core of this patent lies in "finding parking spaces that match the user's preferences from multiple available parking spaces." The preference dimensions focus on parking space location and the user's historical selections, but do not address risk factors such as the attributes of adjacent parking spaces or the compatibility of parking space sizes. Therefore, it fails to solve problems such as scratching high-value vehicles and insufficient door opening space.

[0008] Patent CN119294785A discloses a parking space recommendation method, device, electronic device, and readable storage medium. It constructs a vector to be extracted, inputs it into a trained parking space recommendation model, and uses a long short-term memory module and residual blocks to extract features, generating a probability distribution to recommend parking spaces that meet user needs. The core of this patent lies in improving the accuracy of parking space recommendations through a deep learning model. However, the recommendation basis remains the basic information of the parking space itself, such as its location and availability, without introducing a risk assessment dimension, which differs from the technical objective of this invention.

[0009] Patent CN114863717B discloses a parking space recommendation method, device, storage medium, and vehicle. It determines preferred parking space information by acquiring historical parking data and then recommends available parking spaces based on priority rules and location information. The core of this patent is that it recommends parking spaces based on users' historical habits, but it also fails to consider the potential risks arising from the attributes of adjacent vehicles and the size of the parking spaces. The application scenarios and technical problems solved by this patent differ significantly from those of this invention.

[0010] 3. Existing technologies cannot form a complete logical closed loop of "detection-classification-recommendation-response";

[0011] Current automated parking technology only covers the "parking space detection - path planning - parking control" process, lacking in-depth processing (classification) of parking space information, user interaction (recommendation presentation), and differentiated response (performing different operations based on classification). For example, when the system detects a parking space that is too small, it cannot alert the user to the risk, nor can it provide secondary confirmation or guidance for adjustment based on the user's selection; when the system detects an adjacent parking space containing a high-value vehicle, it has no risk warning mechanism and directly executes the parking operation, causing the user to passively face economic risks.

[0012] In summary, existing automatic parking technologies and related parking space recommendation technologies have not solved the problem of how to conduct risk assessment and intelligent recommendation after a parking space is found, thus leaving a technological gap. Summary of the Invention

[0013] To fill the aforementioned technological gaps, the present invention aims to propose an automatic parking space recommendation method, system, and device. As an automatic parking space recommendation method that combines adjacent parking space vehicle attribute detection and parking space size detection, it upgrades the automatic parking function from simple parking to simultaneously meeting the needs of intelligent space selection and safe parking through multi-dimensional parking space information detection, classification, recommendation, and differentiated response. This achieves risk management and intelligent upgrade of automatic parking, further improving the vehicle's intelligence level and user experience.

[0014] To achieve the above objectives, the present invention adopts the following technical solution:

[0015] In a first aspect, the present invention provides an automatic parking space recommendation method, the method comprising:

[0016] The vehicle's automatic parking function is activated, and the vehicle detection device obtains the association information of each parking space in the waiting area; wherein, the association information includes the vehicle attribute information of adjacent parking spaces and the size information of each parking space.

[0017] Based on the associated information, each parking space is classified into at least two categories; the classification includes classification based on the vehicle attributes of adjacent parking spaces and classification based on the size of the parking space.

[0018] The vehicle's interactive interface displays the classification labels for each parking space and the corresponding parking space information;

[0019] The system receives a user's command to select a target parking space and executes the corresponding parking response operation based on the target parking space's classification type. The parking response operation includes guiding the vehicle into the target parking space or outputting a prompt message indicating that parking is not possible.

[0020] Optionally, the vehicle attribute information includes: vehicle value level information; the size information includes: the difference between the parking space width and the vehicle body width.

[0021] Optionally, the step of classifying parking spaces according to the associated information to obtain at least two types of parking spaces includes: detecting multiple candidate parking spaces, performing vehicle value detection and parking space width detection on each candidate parking space; classifying candidate parking spaces into multiple types based on the detection results; and classifying each parking space to obtain at least two of the following parking space types: recommended parking spaces, ordinary parking spaces, not recommended parking spaces, and prohibited parking spaces.

[0022] Optionally, the classification criteria for the recommended parking spaces are: the vehicle attributes of adjacent parking spaces do not belong to the preset high-risk attributes, and the size of the parking spaces meets the preset first adaptation condition.

[0023] The classification criteria for ordinary parking spaces are: the vehicle attributes of adjacent parking spaces do not belong to the preset high-risk attributes, and the parking space size meets the preset second adaptation condition, wherein the adaptation degree of the preset second adaptation condition is lower than that of the preset first adaptation condition.

[0024] Optionally, the classification criteria for not recommended parking spaces are: the vehicle attributes of adjacent parking spaces belong to preset high-risk attributes, or the parking space size meets preset third adaptation conditions, wherein the adaptation degree of the preset third adaptation conditions is lower than that of the preset second adaptation conditions.

[0025] The classification criteria for prohibited parking spaces are: the size of the parking space does not meet the preset minimum adaptation condition, which is the minimum size requirement for a vehicle to complete the parking operation.

[0026] Optionally, the classification identifier includes at least one of color identifiers, graphic identifiers, and text identifiers, with different classification identifiers corresponding to different categories of parking spaces.

[0027] Optionally, when the target parking space is classified as a regular parking space or a non-recommended parking space, a secondary confirmation prompt message is also included before guiding the vehicle to park in the target parking space; wherein, the secondary confirmation prompt message includes the reason for the classification of the target parking space.

[0028] Optionally, the vehicle detection device includes a camera, millimeter-wave radar, and lidar; the vehicle detection device acquires the associated information through image recognition and distance measurement.

[0029] Secondly, the present invention provides an automatic parking space recommendation system, the system comprising:

[0030] The associated information acquisition module is used to activate the vehicle's automatic parking function and acquire the associated information of each parking space in the waiting area through the vehicle detection device; wherein, the associated information includes the vehicle attribute information of adjacent parking spaces and the size information of each parking space.

[0031] A classification module is used to classify each parking space according to the association information to obtain at least two types of parking spaces; the classification includes classification based on the vehicle attributes of adjacent parking spaces and classification based on the size of the parking space;

[0032] The display module is used to present the category labels and corresponding parking space information of each parking space on the vehicle's interactive interface;

[0033] The parking response module is used to receive the user's selection instruction for the target parking space and execute the corresponding parking response operation according to the classification type of the target parking space. The parking response operation includes guiding the vehicle to park in the target parking space or outputting a prompt message indicating that parking is not possible.

[0034] Thirdly, the present invention provides an electronic device, the electronic device comprising:

[0035] At least one processor; and

[0036] A memory communicatively connected to the at least one processor; wherein,

[0037] The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method described in any one of the first aspects.

[0038] Compared with the closest prior art, the present invention has the following beneficial effects:

[0039] This invention proposes an automatic parking space recommendation method, system, and device. By detecting and classifying the vehicle attributes of adjacent parking spaces, it avoids users parking next to high-value vehicles, thereby reducing the probability of scratching high-value vehicles and lowering the risk of economic loss for users. At the same time, the risk warning for not recommending parking spaces can enhance users' risk awareness and guide them to make safer parking space choices.

[0040] This invention assesses and categorizes parking space sizes to inform users in advance about the door opening space of the parking space, preventing users from repeatedly parking due to insufficient door opening space and saving parking time. The direct parking design for recommended parking spaces and the secondary confirmation design for ordinary / unrecommended parking spaces balance parking efficiency and users' right to know, improving the overall parking experience.

[0041] This invention adds parking space classification, recommendation presentation, and differentiated response steps to the existing parking space detection and parking control, constructing a complete logical closed loop of "detection-classification-recommendation-response". This upgrades the automatic parking function from basic parking to intelligent parking selection and safe parking, improving the vehicle's intelligence level.

[0042] The technical solution of this invention does not require additional dedicated hardware and can be implemented based on existing vehicle-mounted detection devices such as cameras and radars, making it compatible with various vehicle models. At the same time, the adjustable classification threshold design allows users to personalize the settings according to their own needs, further improving the versatility and practicality of the solution. Attached Figure Description

[0043] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0044] Figure 1 This is a flowchart of an automatic parking space recommendation method provided by the present invention;

[0045] Figure 2 This is a flowchart of the process provided by the present invention for executing corresponding parking response operations based on the classification type of the target parking space;

[0046] Figure 3 This is a schematic diagram of the structural modules of the automatic parking space recommendation system provided by the present invention;

[0047] Figure 4 This is an internal structural diagram of the electronic device provided by the present invention. Detailed Implementation

[0048] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of the present invention and are therefore merely examples, and should not be construed as limiting the scope of protection of the present invention.

[0049] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0050] This invention provides a method, system, and device for recommending parking spaces for automated parking. It is particularly suitable for passenger cars and commercial vehicles equipped with automated parking systems, aiming to achieve parking space risk management and intelligent recommendation during the automated parking process through multi-dimensional parking space information detection and classification.

[0051] The present application can effectively solve the following technical problems existing in the current automatic parking technology:

[0052] Problem 1: Existing automatic parking systems cannot identify the attributes of vehicles in adjacent parking spaces, which may cause users to park in spaces next to high-value vehicles, facing high economic risks after scratches.

[0053] Question 2: The existing automatic parking system cannot assess the compatibility between the parking space size and the door opening space, which may result in insufficient door opening space after the user parks the car, requiring repeated parking operations and affecting the user experience.

[0054] Question 3: Existing parking space recommendation technology focuses on finding parking spaces, but cannot classify and recommend risks after finding parking spaces, and lacks the logic for differentiated responses after classification, thus failing to form a complete intelligent parking process.

[0055] The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0056] Please refer to Figure 1 This invention provides an automatic parking space recommendation method, which can be widely applied to various vehicle types equipped with automatic parking hardware, including gasoline vehicles and new energy vehicles, and has strong versatility and practicality. Specifically, it includes the following steps:

[0057] S101 activates the vehicle's automatic parking function and obtains the association information of each parking space in the waiting area through the vehicle detection device; wherein, the association information includes the vehicle attribute information of adjacent parking spaces and the size information of each parking space.

[0058] S102 Classifies each parking space according to the association information to obtain at least two types of parking spaces. The classification includes classification based on the vehicle attributes of adjacent parking spaces and classification based on the size of the parking space.

[0059] The S103 displays the classification labels of each parking space and the corresponding parking space information on the vehicle's interactive interface.

[0060] S104 receives the user's command to select a target parking space and executes the corresponding parking response operation according to the classification type of the target parking space. The parking response operation includes guiding the vehicle into the target parking space or outputting a prompt message indicating that parking is not possible.

[0061] In step S101 above, activating the vehicle's automatic parking function includes:

[0062] Users can activate the automatic parking function via the vehicle's central control screen, physical buttons, or voice commands. After system startup, it first performs a self-check of the vehicle's detection devices (cameras, millimeter-wave radar, lidar, etc.) to confirm that each device is functioning correctly. Simultaneously, it acquires the vehicle's basic parameters (such as body width and wheelbase) as a benchmark for subsequent parking space size compatibility assessment. If a detection device malfunctions, it will output a message stating "Automatic parking function is temporarily unavailable; please check the sensors." The system can be restarted after the fault is resolved.

[0063] In step S101 above, obtaining the associated information of each parking space in the waiting area through the vehicle detection device includes:

[0064] The vehicle detection devices work in concert to scan the parking area around the vehicle and obtain the association information of each available parking space. This association information includes two core types of data:

[0065] Category 1: Vehicle attribute information of adjacent parking spaces. The appearance characteristics of vehicles parked in adjacent parking spaces (such as brand logo, vehicle outline, headlight design, etc.) are collected by cameras and combined with vehicle information in the vehicle database (including value level classification of different brands and models) to identify the value level of adjacent vehicles and determine whether they belong to the preset high-risk attribute (i.e., high-value vehicles); if there are no vehicles parked in the adjacent parking spaces, the attribute information is marked as "no risk".

[0066] The second category: Dimensional information of each parking space. The width, length and other dimensional parameters of the parking space are measured by millimeter-wave radar or lidar. Combined with the vehicle body width obtained in step S101, the difference between the parking space width and the vehicle body width is calculated as the core indicator for subsequent parking space size adaptability assessment. At the same time, the distance between the parking space and surrounding obstacles (such as walls, other vehicles) is measured to ensure that there are no obstructions around the parking space that may affect parking.

[0067] When acquiring related information, the detection device adopts a multi-sensor fusion strategy: when a single sensor (such as a camera) cannot clearly identify the vehicle brand due to insufficient light, millimeter-wave radar can assist in measuring the vehicle's outline dimensions and further narrow down the judgment range of vehicle brand and value level by combining outline features; if a sensor fails, the system can supplement the information based on the data of the remaining normal sensors to ensure the accuracy and completeness of the related information.

[0068] Step S102 above, which categorizes parking spaces based on associated information, includes:

[0069] Multiple candidate parking spaces are detected, and vehicle value and parking space width are detected for each candidate parking space. Based on the detection results, the candidate parking spaces are classified into multiple types. The parking space types obtained include at least two of the following: recommended parking spaces, ordinary parking spaces, not recommended parking spaces, and prohibited parking spaces.

[0070] Specifically, based on the association information obtained in step S101, a two-dimensional cross-classification method is used to classify each vacant parking space, resulting in at least two categories of parking spaces. Preferably, they are divided into four categories: recommended parking spaces, ordinary parking spaces, not recommended parking spaces, and prohibited parking spaces. The specific classification logic is as follows:

[0071] Recommended parking spaces: The vehicles in adjacent parking spaces do not belong to the preset high-risk attributes or there are no vehicles in adjacent parking spaces, and the size of the parking space meets the preset first adaptation condition, that is, the difference between the width of the parking space and the width of the vehicle body can ensure that the doors on both sides can be opened normally, and the length of the parking space can meet the needs of the vehicle to be fully parked; this type of parking space has no obvious risks and has the best adaptability.

[0072] Regular parking spaces: The vehicles in adjacent parking spaces do not belong to the preset high-risk attributes or there are no vehicles in adjacent parking spaces, but the size of the parking space meets the preset second adaptation condition, that is, the difference between the width of the parking space and the width of the vehicle body can meet the parking needs of the vehicle, but the door opening space is slightly limited; this type of parking space has no risk of adjacent vehicles, but there is a potential problem of insufficient door opening space.

[0073] Parking spaces not recommended: These spaces are classified as such if any of the following conditions are met: ① The vehicle attributes of the adjacent parking spaces are preset high-risk attributes; ② The size of the parking space meets the preset third adaptation condition, that is, the difference between the width of the parking space and the width of the vehicle body is barely enough to meet the parking needs, and the door opening space is severely limited; ③ The adjacent parking spaces are high-risk attributes and the size of the parking spaces meets the preset third adaptation condition. These types of parking spaces pose obvious risks and should be highlighted to users.

[0074] Disabled parking spaces: The dimensions of the parking space do not meet the preset minimum adaptation conditions, that is, the difference between the width of the parking space and the width of the vehicle cannot meet the parking requirements, or the length of the parking space is insufficient to accommodate the vehicle to park completely; such parking spaces cannot complete the automatic parking operation and are directly marked as disabled.

[0075] During the classification process, the thresholds for each adaptation condition can be automatically adjusted according to the vehicle type (such as small cars, mid-size cars, SUVs, etc.). For example, since the body width of SUVs is usually greater than that of small cars, the system will lower the threshold standard for the difference between the parking space width and the body width to ensure that the classification results are compatible with the vehicle type. At the same time, users can fine-tune some thresholds (such as the door opening space threshold for ordinary parking spaces) in the vehicle settings interface according to their own driving habits (such as whether they often need to get in and out of the rear seats) to improve the personalized adaptability of the classification.

[0076] In step S103 above, displaying the category labels and corresponding parking space information for each parking space on the vehicle's interactive interface includes:

[0077] The classification results obtained in step S102 are presented intuitively on the vehicle's interactive interface (such as the central control screen or instrument panel). The interactive interface adopts a dual-label design of graphics and text, and the specific presentation method is as follows:

[0078] Category Identification: Different parking space types are distinguished by color coding: recommended parking spaces are marked in green, regular parking spaces in blue, not recommended parking spaces in red, and prohibited parking spaces in gray. Additionally, text labels are added next to each parking space graphic, such as "Recommended," "Regular," "Not Recommended," and "Prohibited," to ensure users can quickly identify them.

[0079] Parking space information: Clicking on any parking space icon will bring up detailed information about that space, including: vehicle attributes of adjacent spaces (e.g., no adjacent vehicles, adjacent vehicles of average value, adjacent vehicles of high value), parking space size parameters, such as parking space width - vehicle width = XX, risk warnings (e.g., door opening space is slightly limited, adjacent vehicles are of high value, please be careful of scratches); for disabled parking spaces, the specific reason why "cannot be parked" will also be explained (e.g., insufficient parking space width).

[0080] The interactive interface supports zooming and panning operations. Users can adjust the interface perspective by swiping their fingers or using voice commands to view the classification of all parking spaces in the waiting area. At the same time, the system will display recommended parking spaces at the top of the screen or label them with a priority recommendation tag by default, guiding users to prioritize low-risk parking spaces.

[0081] like Figure 2 In step S104 above, when a user's selection instruction for a target parking space is received, the corresponding parking response operation is executed according to the classification type of the target parking space, specifically including:

[0082] Users can select a parking space by tapping the target parking space icon on the touchscreen or by giving a voice command (such as selecting the green parking space on the left). After receiving the command, the system first confirms the category of the target parking space. If the target parking space is a restricted parking space, it will directly output a prompt that parking is not possible. If the target parking space is a recommended parking space, a regular parking space, or a not recommended parking space, it will proceed to the next step of the response process.

[0083] If there are only one type of parking space in the waiting area (e.g., only regular parking spaces), the system will automatically prompt the user, "Only regular parking spaces exist in the current area. Do you want to select this type of parking space?" The system will then proceed with the next steps after the user confirms. If there are no available parking spaces in the waiting area, the system will output the message, "No available parking spaces detected. Please go to another area," and the automatic parking function will be turned off.

[0084] Specifically, based on the classification type of the target parking space, differentiated parking response operations are executed to ensure that users complete parking while understanding the risks. The specific response logic is as follows:

[0085] If the target parking space is a recommended parking space: the system does not need secondary confirmation, but directly calls the automatic parking path planning algorithm to generate a parking path and controls the vehicle to park in the target parking space according to the path; during the parking process, the central control screen displays the distance between the vehicle and the parking space boundary and the distance between adjacent vehicles in real time to ensure parking accuracy.

[0086] If the target parking space is a regular parking space: First, a secondary confirmation prompt message is displayed; for example, "The door opening space of this parking space is slightly limited. It is recommended that passengers get off the car in advance. Do you want to continue parking?" and two operation options, "Confirm" and "Cancel", are provided; if the user clicks "Confirm", a parking path is generated and the parking operation is performed; if the user clicks "Cancel", the user returns to the interactive interface and selects a parking space again.

[0087] If the target parking space is not recommended: A secondary confirmation prompt will be displayed based on the reason for not recommending it: ① If the adjacent vehicle is a high-risk vehicle, the prompt will be "This parking space is adjacent to a high-value vehicle, posing a risk of scratches. Do you wish to continue parking?"; ② If the parking space is limited in size, the prompt will be "The door opening space of this parking space is severely limited, making scratches highly likely. Do you wish to continue parking?"; ③ If both conditions apply, the prompt will be "This parking space is adjacent to a high-value vehicle and the door opening space is severely limited, posing a high risk. Do you wish to continue parking?" The parking operation will proceed after the user confirms; otherwise, a new selection will be made.

[0088] If the target parking space is a disabled parking space: output the message "The size of this parking space cannot meet the parking requirements, parking is not possible, please select again", do not perform the parking operation, and return to the interactive interface.

[0089] After the vehicle is parked, a "Parking successful" message will be displayed on the central control screen, and the vehicle will automatically switch to parking mode (such as engaging the handbrake or shifting into P gear). If a sudden risk is detected during the parking process, such as the sudden movement of an adjacent vehicle, the parking operation will be immediately paused, and a message "Sudden risk detected, parking has been paused" will be output. The parking operation can be continued or canceled after the risk is eliminated.

[0090] In one embodiment, to make the technical solution of the present invention clearer and easier to understand, the automatic parking space recommendation method of the present invention will be described in detail below with reference to a specific embodiment. This embodiment takes a mid-size SUV of a certain brand with a body width of 1.9 meters as an example, and the scenario is set as an underground parking lot in a shopping mall. The specific implementation process is as follows:

[0091] Example 1: Parking process for recommended parking spaces

[0092] 1. Prerequisites

[0093] When a user drives into the mall's underground parking lot and needs to find a parking space, they can activate the automatic parking function by clicking the "Automatic Parking" icon on the central control screen.

[0094] The system performs a self-check on the camera and millimeter-wave radar to confirm that there are no faults; at the same time, it obtains basic parameters such as the vehicle's width of 1.9 meters.

[0095] The detection device scanned the surrounding waiting area and found three vacant parking spaces, which were marked as A, B, and C respectively.

[0096] 2. Obtaining related information

[0097] For parking space A: The camera captured images of the left side of the adjacent parking space, identifying the vehicle brand as a common family car brand with a "common" value rating, not considered high-risk. There were no adjacent vehicles on the right side. Millimeter-wave radar measured the width of parking space A to be 2.8 meters, calculating the difference between the parking space width and the vehicle's width to be 0.9 meters. The measured length of the parking space was 5.5 meters. This vehicle model has a wheelbase of 2.8 meters and a length of 4.9 meters, meeting the requirements for complete parking.

[0098] For parking space B: There are no vehicles parked in the adjacent parking spaces; the millimeter-wave radar measures the width of parking space B to be 2.7 meters, which is 0.8 meters different from the width of the vehicle, and the length to be 5.4 meters, which meets the parking requirements.

[0099] For parking space C: The brand of the vehicle parked on the right side of the adjacent parking space is a luxury brand, with a value level of "high value" and belonging to the high-risk attribute; the millimeter-wave radar measures the width of parking space C to be 2.6 meters, which is 0.7 meters different from the width of the vehicle body, and the length is 5.3 meters, which meets the parking requirements.

[0100] 3. Parking Space Classification

[0101] Based on the above related information, the three vacant parking spaces are categorized as follows:

[0102] Parking Space A: The adjacent vehicle has normal attributes. The difference between the width of the parking space and the width of the vehicle is 0.9 meters, which meets the preset first adaptation condition, that is, the difference is ≥0.8 meters, which can ensure that the doors on both sides can be opened normally. It is classified as a recommended parking space.

[0103] Parking space B: No adjacent vehicles, the difference between the width of the parking space and the width of the vehicle is 0.8 meters, which meets the preset first adaptation condition and is classified as a recommended parking space;

[0104] Parking space C: The adjacent vehicles are of high risk and are classified as not recommended parking spaces.

[0105] 4. Classification Results Presentation

[0106] The central control screen displays a parking space distribution map of the waiting area, where parking spaces A and B are marked with green graphics and the text "Recommended". Clicking on parking space A brings up information: adjacent to ordinary vehicles, parking space width - vehicle width = 0.9 meters, ample door opening space, recommended choice; clicking on parking space B brings up information: no adjacent vehicles, parking space width - vehicle width = 0.8 meters, ample door opening space, recommended choice.

[0107] Parking space C is marked with a red graphic and the text "Not Recommended"; clicking on parking space C brings up the following information: "Adjacent to a high-value vehicle, there is a risk of scratches; parking space width - vehicle width = 0.7 meters, not recommended to choose."

[0108] 5. User Selection and Response

[0109] After the user views the category results, clicks on parking space A (target parking space), and the system receives the selection instruction;

[0110] The system determines that parking space A is the recommended parking space and generates a parking path directly without secondary confirmation (the path planning takes into account ordinary vehicles on the left side of the parking space and reserves a safety distance of 0.5 meters).

[0111] The system controls the vehicle to slowly park into parking space A according to the path, and the central control screen displays the distance between the vehicle and the boundary of the parking space, as well as the distance to the vehicle on the left in real time;

[0112] After the vehicle is fully parked, the central control screen displays a "Parking successful" message, and the system automatically engages the handbrake and shifts into P gear;

[0113] The user turns off the automatic parking function, gets out of the car, and leaves, ending the process.

[0114] 6. Expected Results

[0115] The vehicle was successfully parked in parking space A without any risk of scratches.

[0116] Users don’t need to worry about scratches from adjacent vehicles, as both side doors can be opened normally, making it convenient for rear passengers to get in and out of the vehicle.

[0117] Users are satisfied with the efficiency and safety of the parking process, with no additional operating costs.

[0118] Example 2: Parking procedure for regular parking spaces

[0119] 1. Prerequisites

[0120] A user drives the same car model and activates the automatic parking function in another area of ​​the mall's underground parking lot;

[0121] The system self-test was normal, and the vehicle width was obtained as 1.9 meters.

[0122] The detection device scanned and found two vacant parking spaces, marked as D and E.

[0123] 2. Obtaining related information

[0124] Parking space D: No adjacent vehicles; millimeter-wave radar measures the width of the parking space to be 2.4 meters, which is 0.5 meters different from the vehicle's width; the length is 5.2 meters, meeting the parking requirements.

[0125] Parking space E: Adjacent parking space for ordinary brand vehicles; millimeter-wave radar measures the parking space width to be 2.3 meters, with a difference of 0.4 meters from the vehicle width; the length is 5.1 meters, meeting parking requirements.

[0126] 3. Parking Space Classification

[0127] Parking spaces D and E: There is no risk to adjacent vehicles, but the difference between the width of the parking space and the width of the vehicle (0.5 meters and 0.4 meters) meets the preset second adaptation condition (difference ≥ 0.4 meters and < 0.8 meters, can be parked but the door opening space is slightly limited), and are classified as "ordinary parking spaces".

[0128] 4. Classification Results Presentation

[0129] Parking spaces D and E are marked with blue graphics and the word "Normal". Clicking on parking space D will bring up the following information: No adjacent vehicles, parking space width - vehicle width = 0.5 meters, door opening space is slightly limited, normal selection is recommended. Clicking on parking space E will bring up the following information: Adjacent vehicles are ordinary vehicles, parking space width - vehicle width = 0.4 meters, door opening space is slightly limited, normal selection is recommended.

[0130] 5. User Selection and Response

[0131] When the user clicks on parking space D, the system receives the selection instruction.

[0132] The system determines that parking space D is a "regular parking space" and immediately displays a secondary confirmation prompt on the central control screen: "The door opening space of this parking space is slightly limited. It is recommended that passengers get off the car in advance. Do you want to continue parking?" "Confirm" and "Cancel" buttons are displayed below.

[0133] The user has a rear passenger in the car. After communicating with the passenger, click "Confirm".

[0134] Generate a parking path and control the vehicle to park in parking space D; during the parking process, the central control screen prompts "Please be careful when opening the door after the vehicle has come to a complete stop";

[0135] After the vehicle comes to a complete stop, the central control screen displays "Parking successful," and the user and passengers disembark in turn, thus completing the process.

[0136] If the user clicks "Cancel", they will be returned to the parking space distribution map interface, where they can reselect parking space E or another area.

[0137] 6. Expected Results

[0138] The vehicle was successfully parked in parking space D, with no risk of scratches.

[0139] Because users received advance notice of the door opening space and communicated well with passengers, the disembarkation process was smooth and there was no need for repeated parking operations.

[0140] Users were prepared for the limited parking spaces, and the overall parking experience was not significantly affected.

[0141] Example 3: Parking procedure for unrecommended parking spaces

[0142] 1. Prerequisites

[0143] When a user drives the same car model and activates the automatic parking function in a limited parking area of ​​the shopping mall's underground parking lot;

[0144] The system self-test was normal, and the vehicle width was obtained as 1.9 meters.

[0145] The detection device only scanned one vacant parking space, which was marked as F.

[0146] 2. Obtaining related information

[0147] Parking space F: A high-value luxury brand vehicle (value level "high value") is parked in the adjacent parking space on the left; the width of the parking space measured by millimeter-wave radar is 2.2 meters, which is 0.3 meters different from the width of the vehicle; the length is 5.0 meters, which meets the parking requirements.

[0148] 3. Parking Space Classification

[0149] Parking space F: The adjacent vehicle has a high-risk attribute, and the difference between the width of the parking space and the width of the vehicle is 0.3 meters (meets the preset third adaptation condition, the difference is ≥0.3 meters and <0.4 meters, and the door opening space is severely restricted), and is classified as "not recommended parking space".

[0150] 4. Classification Results Presentation

[0151] Parking space F is marked with a red graphic and the text "Not Recommended"; clicking on parking space F will bring up the following information: The adjacent vehicle is a high-value vehicle, and the width of the parking space minus the width of the vehicle is 0.3 meters, making it very easy to scratch the vehicle when the door is opened. It is not recommended to choose this parking space.

[0152] 5. User Selection and Response

[0153] Due to a shortage of parking spaces, the user decided to try selecting parking space F and clicked on parking space F.

[0154] If parking space F is determined to be a "not recommended parking space", a secondary confirmation prompt will pop up: "This parking space is adjacent to a high-value vehicle and the width of the parking space is too narrow. Opening the door will easily cause scratches. Do you want to continue?" and "Confirm" and "Cancel" buttons will be displayed.

[0155] Once the user confirms that no other parking spaces are available, they click "Confirm".

[0156] Generate parking routes, and when planning the routes, park vehicles as far to the right as possible (away from high-value vehicles on the left), leaving a safety distance of 0.6 meters;

[0157] During the parking process, the central control screen displays the distance to the high-value vehicle on the left in real time and prompts "You are approaching an adjacent high-value vehicle, please park slowly";

[0158] After the vehicle comes to a complete stop, the central control screen displays "Parking successful. Please be careful when opening the door to avoid scratching adjacent vehicles."

[0159] When a user gets out of the vehicle, only the right-side door (driver's side) should be opened, and rear passengers should get out through the right-side door to avoid opening the left-side door to access the high-value vehicle.

[0160] If the user clicks "Cancel", a message will appear saying "Selection has been cancelled. We suggest you go to another area to find a parking space" and the automatic parking function will be turned off.

[0161] 6. Expected Results

[0162] The vehicle was successfully parked in parking space F without any scratches.

[0163] Because users received advance risk warnings, they took extra care when getting out of their vehicles, thus avoiding the risk of scratching high-value vehicles.

[0164] The system's risk warnings effectively raised users' safety awareness. Although users chose not to use recommended parking spaces, no safety incidents occurred.

[0165] Example 4: Response process for disabled parking spaces

[0166] 1. Prerequisites

[0167] A user drives the same car model and activates the automatic parking function in a corner area of ​​the mall's underground parking lot;

[0168] The system self-test was normal, and the vehicle width was obtained as 1.9 meters.

[0169] The detection device scanned and found one vacant parking space, marked as G.

[0170] 2. Obtaining related information

[0171] Parking space G: No vehicle is in the adjacent parking space; the width of the parking space measured by millimeter-wave radar is 2.0 meters, which is 0.1 meters different from the width of the vehicle body; the length is 4.8 meters (the length of this vehicle body is 4.9 meters), which cannot meet the requirements for the vehicle to be fully parked.

[0172] 3. Parking Space Classification

[0173] Parking space G: The difference between the width of the parking space and the width of the vehicle body is 0.1 meters (which does not meet the preset minimum adaptation conditions, the difference is <0.3 meters, and the length of the parking space is insufficient), and it is classified as "prohibited parking space".

[0174] 4. Classification Results Presentation

[0175] Parking space G is marked with a gray graphic and the text "Disabled"; clicking on parking space G will bring up the message: "The parking space is not wide enough and the length is insufficient to accommodate a vehicle, so it cannot be parked."

[0176] 5. User Selection and Response

[0177] The user did not notice the category label and clicked on parking space G;

[0178] The system determined that parking space G was a "disabled parking space" and immediately displayed a prompt: "This parking space is too narrow and too short to be parked in. Please select another one."

[0179] The prompt message cannot be closed; only a "Return to Selection" button is displayed. When the user clicks "Return to Selection," they return to the parking space distribution map interface.

[0180] The system also prompts "There are no other available parking spaces in the current area. Do you want to go to parking lot B to find a parking space?" The user selects "Yes", the system disables the automatic parking function and navigates to parking lot B.

[0181] 6. Expected Results

[0182] The vehicle did not attempt to park in a prohibited parking space, thus avoiding problems such as scratches or the vehicle not being able to park completely due to insufficient space size.

[0183] Users clearly understand why parking spaces cannot be occupied, eliminating any sense of confusion; the system's "go to other areas" suggestion improves the efficiency of users finding parking spaces later.

[0184] In summary, as demonstrated by the four embodiments above, the automatic parking space recommendation method proposed in this application can accurately classify parking spaces based on their associated information and perform differentiated response operations for different classification types, fully covering various situations in actual parking scenarios. This method requires no additional hardware, can be implemented based on existing vehicle-mounted sensors, and its classification logic and response process can be flexibly adjusted according to vehicle model and user needs, demonstrating strong practicality and scalability.

[0185] Meanwhile, the technical solution of this invention solves the pain points of existing automatic parking technology. Through a complete logical closed loop of "detection-classification-recommendation-response", it realizes the intelligent and safe upgrade of automatic parking, providing users with a better and safer parking experience, which is in line with the development trend of vehicle intelligent technology.

[0186] Based on the same inventive concept, this application also provides an automatic parking space recommendation system for implementing the above-described automatic parking space recommendation method. The solution provided by this system is similar to the implementation described in the above-described embodiments. Therefore, the specific limitations of the one or more automatic parking space recommendation system embodiments provided below can be found in the limitations of the automatic parking space recommendation method described above, and will not be repeated here.

[0187] In one embodiment, the present invention provides an automatic parking space recommendation system, such as... Figure 3 As shown, it includes: an associated information acquisition module 210, a classification module 220, a display module 230, and a parking response module 240, wherein:

[0188] The association information acquisition module 210 is used to activate the vehicle's automatic parking function and acquire the association information of each parking space in the waiting area through the vehicle detection device; wherein, the association information includes vehicle attribute information of adjacent parking spaces and size information of each parking space.

[0189] The classification module 220 is used to classify each parking space according to the association information to obtain at least two types of parking spaces; the classification includes classification based on the vehicle attributes of adjacent parking spaces and classification based on the size of the parking space.

[0190] Display module 230 is used to display the classification labels of each parking space and the corresponding parking space information on the vehicle's interactive interface;

[0191] The parking response module 240 is used to receive the user's selection instruction for the target parking space and execute the corresponding parking response operation according to the classification type of the target parking space. The parking response operation includes guiding the vehicle to park in the target parking space or outputting a prompt message indicating that parking is not possible.

[0192] In one embodiment, an electronic device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown. The electronic device includes a processor, memory, communication interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements the automatic parking space recommendation method described in any of steps S101 to S104. The display screen can be a liquid crystal display (LCD) or an e-ink display. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0193] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0194] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0195] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0196] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0197] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0198] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. An automatic parking space recommendation method, characterized in that, The method includes: The vehicle's automatic parking function is activated, and the vehicle detection device obtains the association information of each parking space in the waiting area; wherein, the association information includes the vehicle attribute information of adjacent parking spaces and the size information of each parking space. Based on the associated information, each parking space is classified into at least two categories; the classification includes classification based on the vehicle attributes of adjacent parking spaces and classification based on the size of the parking space. The vehicle's interactive interface displays the classification labels for each parking space and the corresponding parking space information; The system receives a user's command to select a target parking space and executes the corresponding parking response operation based on the target parking space's classification type. The parking response operation includes guiding the vehicle into the target parking space or outputting a prompt message indicating that parking is not possible.

2. The method according to claim 1, characterized in that, The vehicle attribute information includes: vehicle value level information; The dimensional information includes the difference between the parking space width and the vehicle body width.

3. The method according to claim 1, characterized in that, The step of classifying parking spaces according to associated information to obtain at least two types of parking spaces includes: detecting multiple candidate parking spaces, performing vehicle value detection and parking space width detection on each candidate parking space; classifying candidate parking spaces into multiple types based on the detection results; and classifying each parking space to obtain at least two of the following parking space types: recommended parking spaces, ordinary parking spaces, not recommended parking spaces, and prohibited parking spaces.

4. The method according to claim 1, characterized in that, The classification criteria for the recommended parking spaces are: the vehicle attributes of adjacent parking spaces do not belong to the preset high-risk attributes, and the size of the parking spaces meets the preset first adaptation condition. The classification criteria for ordinary parking spaces are: the vehicle attributes of adjacent parking spaces do not belong to the preset high-risk attributes, and the parking space size meets the preset second adaptation condition, wherein the adaptation degree of the preset second adaptation condition is lower than that of the preset first adaptation condition.

5. The method according to claim 4, characterized in that, The classification criteria for not recommended parking spaces are: the vehicle attributes of adjacent parking spaces belong to the preset high-risk attributes, or the parking space size meets the preset third adaptation condition, and the adaptation degree of the preset third adaptation condition is lower than that of the preset second adaptation condition. The classification criteria for prohibited parking spaces are: the size of the parking space does not meet the preset minimum adaptation condition, which is the minimum size requirement for a vehicle to complete the parking operation.

6. The method according to claim 1, characterized in that, The classification identifiers include at least one of color identifiers, graphic identifiers, and text identifiers, with different classification identifiers corresponding to different categories of parking spaces.

7. The method according to claim 1, characterized in that, When the target parking space is classified as a regular parking space or a non-recommended parking space, before guiding the vehicle to park in the target parking space, a secondary confirmation prompt message is also output; wherein, the secondary confirmation prompt message includes the reason for the classification of the target parking space.

8. The method according to claim 1, characterized in that, The vehicle detection device includes a camera, millimeter-wave radar, and lidar; the vehicle detection device acquires the associated information through image recognition and distance measurement.

9. An automatic parking space recommendation system, characterized in that, The system includes: The associated information acquisition module is used to activate the vehicle's automatic parking function and acquire the associated information of each parking space in the waiting area through the vehicle detection device; wherein, the associated information includes the vehicle attribute information of adjacent parking spaces and the size information of each parking space. A classification module is used to classify each parking space according to the association information to obtain at least two types of parking spaces; the classification includes classification based on the vehicle attributes of adjacent parking spaces and classification based on the size of the parking space; The display module is used to present the category labels and corresponding parking space information of each parking space on the vehicle's interactive interface; The parking response module is used to receive the user's selection instruction for the target parking space and execute the corresponding parking response operation according to the classification type of the target parking space. The parking response operation includes guiding the vehicle to park in the target parking space or outputting a prompt message indicating that parking is not possible.

10. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1-8.

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