CN114501308A - Method and device for downloading parking lot map, vehicle and storage medium - Google Patents

Method and device for downloading parking lot map, vehicle and storage medium Download PDF

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Publication number
CN114501308A
CN114501308A CN202210022558.4A CN202210022558A CN114501308A CN 114501308 A CN114501308 A CN 114501308A CN 202210022558 A CN202210022558 A CN 202210022558A CN 114501308 A CN114501308 A CN 114501308A
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vehicle
parking lot
target parking
position information
downloading
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CN114501308B (en
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彭际黎
代仲君
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Guangzhou Xiaopeng Autopilot Technology Co Ltd
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Guangzhou Xiaopeng Autopilot Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/906Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/907Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/909Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/22Processing or transfer of terminal data, e.g. status or physical capabilities
    • H04W8/24Transfer of terminal data
    • H04W8/245Transfer of terminal data from a network towards a terminal

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Abstract

The application discloses a method and a device for downloading a parking lot map, a vehicle and a storage medium, and relates to the technical field of intelligent driving. The method comprises the following steps: the method comprises the steps of obtaining position information of a vehicle, determining a target parking lot from the parking lots based on the position information of the vehicle and the position information of the parking lots, wherein the position information of the parking lots is obtained based on clustering of data of the parking lots acquired by crowdsourcing of the vehicle, and downloading a map corresponding to the target parking lot from a cloud server, so that the position information of the parking lots of the data clusters of the parking lots is combined, the vehicle can download the map corresponding to the target parking lot in an imperceptible mode, the parking lot map does not need to be downloaded by manual triggering of a user, and user experience is improved.

Description

Method and device for downloading parking lot map, vehicle and storage medium
Technical Field
The application relates to the technical field of intelligent driving, in particular to a method and a device for downloading a parking lot map, a vehicle and a storage medium.
Background
With the development of science and technology, intelligent driving vehicles are more and more extensive, and the functions of the intelligent driving vehicles are more and more. At present, the intelligent driving vehicle cannot acquire a map of a parking lot which the intelligent driving vehicle has not passed, so that partial functions of the intelligent driving vehicle cannot be used, and the user experience is poor.
Disclosure of Invention
In view of the above problems, the present application provides a method, an apparatus, a vehicle, and a storage medium for downloading a parking lot map, so as to solve the above problems.
In a first aspect, an embodiment of the present application provides a method for downloading a parking lot map, which is applied to a vehicle, where the vehicle is connected to a cloud server, and the method includes: acquiring position information of the vehicle; determining a target parking lot from the plurality of parking lots based on the position information of the vehicle and position information of the plurality of parking lots, wherein the position information of the plurality of parking lots is obtained based on clustering data of the plurality of parking lots acquired by crowdsourced vehicles; and downloading the map corresponding to the target parking lot from the cloud server.
In a second aspect, an embodiment of the present application provides a downloading device for a parking lot map, which is applied to a vehicle, where the vehicle is connected to a cloud server, and the device includes: the vehicle position information acquisition module is used for acquiring the position information of the vehicle; a target parking lot determination module, configured to determine a target parking lot from a plurality of parking lots based on location information of the vehicle and location information of the plurality of parking lots, where the location information of the plurality of parking lots is obtained based on clustering data of the plurality of parking lots collected by crowdsourced vehicles; and the parking lot map downloading module is used for downloading the map corresponding to the target parking lot from the cloud server.
In a third aspect, embodiments of the present application provide a vehicle comprising a memory and a processor, the memory being coupled to the processor, the memory storing instructions that, when executed by the processor, the processor performs the above-described method.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a program code is stored, and the program code can be called by a processor to execute the above method.
The embodiment of the application provides a method, a device, a vehicle and a storage medium for downloading a parking lot map, the method comprises the steps of obtaining position information of the vehicle, determining a target parking lot from a plurality of parking lots based on the position information of the vehicle and the position information of the plurality of parking lots, wherein the position information of the plurality of parking lots is obtained by clustering data of the plurality of parking lots acquired by crowdsourcing vehicles, and downloading a map corresponding to the target parking lot from a cloud server.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating a first application environment of a method for downloading a parking lot map according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a second application environment of the method for downloading a parking lot map according to the embodiment of the present application;
fig. 3 is a flowchart illustrating a downloading method of a parking lot map according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating a third application environment of the method for downloading a parking lot map according to the embodiment of the present application;
fig. 5 is a flowchart illustrating a method for downloading a parking lot map according to an embodiment of the present application;
fig. 6 is a diagram illustrating a fourth application environment of a method for downloading a parking lot map according to an embodiment of the present application;
fig. 7 is a flowchart illustrating a step S250 of the downloading method of the parking lot map illustrated in fig. 4 of the present application;
fig. 8 is a schematic diagram illustrating a fifth application environment of a method for downloading a parking lot map according to an embodiment of the present application;
fig. 9 is a flowchart illustrating a method for downloading a parking lot map according to an embodiment of the present application;
fig. 10 shows a block diagram of a downloading device for a parking lot map according to an embodiment of the present application;
fig. 11 is a block diagram of a vehicle for executing a download method of a parking lot map according to an embodiment of the present application;
fig. 12 shows a storage unit for storing or carrying program codes for implementing a downloading method of a parking lot map according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
At present, the memory parking function can only support the route learned by the vehicle, that is, only when the vehicle learns the parking lot map, the vehicle can perform memory parking in the parking lot, and then when the vehicle does not learn the parking lot map, the vehicle cannot learn the parking route of the parking lot, and when the vehicle does not have the map corresponding to the target parking lot, the vehicle cannot perform the memory parking function, and the vehicle can learn the parking lot map and perform the memory parking function only by manually downloading the map corresponding to the target parking lot by the user, so that the user experience is poor.
In order to solve the above problems, the inventor finds, through long-term research, and provides a method, an apparatus, a server, and a storage medium for downloading a parking lot map provided in an embodiment of the present application, the crowdsourced vehicle uploads collected data of a plurality of parking lots to a cloud server, clusters the data of the plurality of parking lots and then sends the clustered data to a vehicle end, and the vehicle determines a target parking lot according to the position information of the vehicle and the position information of the plurality of parking lots and downloads the map of the target parking lot, so that the position information of the plurality of parking lots clustered by the data of the plurality of parking lots is combined, the vehicle is enabled to download the map corresponding to the target parking lot in a non-sensitive manner, the user does not need to manually trigger the downloading of the parking lot map, and the user experience is improved. The specific method for downloading the parking lot map is described in detail in the following embodiments.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a first application environment of a method for downloading a parking lot map according to an embodiment of the present application. The application environment includes a vehicle 100 and a cloud server 200, wherein the vehicle 100 can be connected with the cloud server 200 to realize data interaction between the vehicle 100 and the cloud server 200. As one way, the vehicle 100 and the cloud server 200 may be connected through WIFI, ZigBee, 2G/3G/4G/5G, which is not limited herein.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating a second application environment of the method for downloading a parking lot map according to the embodiment of the present application. The application environment includes a vehicle 100 and a vehicle display screen 110, where the vehicle display screen 110 may be used to display a map of a target parking lot downloaded from a cloud server. As one approach, the vehicle display screen 110 may receive a user instruction, and display a map of the target parking lot according to the user instruction. For example, the user instructs to zoom in on the map of the target parking lot, and the vehicle display screen 110 displays the map of the target parking lot in an enlarged manner.
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating a method for downloading a parking lot map according to an embodiment of the present application. In a specific embodiment, the method for downloading a parking lot map is applied to the device 300 for downloading a parking lot map shown in fig. 10 and the vehicle 100 (fig. 11) equipped with the device 300 for downloading a parking lot map. The following will describe a specific flow of the present embodiment by taking a vehicle as an example. As will be described in detail with respect to the flow shown in fig. 1, the method for downloading a parking lot map may specifically include the following steps:
step S110: position information of the vehicle is acquired.
In some embodiments, a BeiDou Navigation Satellite System (BDS) may be disposed in the vehicle, and the vehicle may acquire the position information of the vehicle through the BDS. As one way, the vehicle may acquire the position information of the vehicle through the BDS in real time. Alternatively, when the vehicle detects that the state information of the vehicle indicates that the user has a need to park, the BDS is turned on to acquire the position information of the vehicle. As still another mode, the vehicle may be provided with a camera, and when the camera of the vehicle detects that there is a parking lot mark nearby, the BDS is turned on, and the position information of the vehicle is acquired through the BDS. The position information of the vehicle may include BDS position information of the vehicle, which is not limited herein.
In some embodiments, a Global Positioning System (GPS) may be provided in the vehicle, and the vehicle may acquire the position information of the vehicle through the GPS. As one way, the vehicle may acquire the position information of the vehicle through the GPS in real time. As another mode, when the vehicle detects that the state information of the vehicle indicates that the user has a need to park, the GPS is turned on to acquire the position information of the vehicle. As still another way, the vehicle may be provided with a camera, and when the camera of the vehicle detects that there is a parking lot sign nearby, the GPS is turned on, and the position information of the vehicle is acquired by the GPS. The location information of the vehicle may include GPS location information of the vehicle, which is not limited herein.
Step S120: determining a target parking lot from a plurality of parking lots based on the position information of the vehicle and position information of the parking lots, wherein the position information of the parking lots is obtained based on clustering of data of the parking lots collected by crowdsourced vehicles.
Referring to fig. 4, fig. 4 is a schematic view illustrating a third application environment of the method for downloading a parking lot map, where the application environment includes a crowdsourcing vehicle 101, a crowdsourcing vehicle 102, a crowdsourcing vehicle N and a cloud server 200, where N may be a positive integer greater than 2, and the crowdsourcing vehicle 101, the crowdsourcing vehicle 102 and the crowdsourcing vehicle N may be connected to the cloud server 200 through WIFI, ZigBee, 2G/3G/4G/5G, respectively, which is not limited herein. In order to realize data interaction between the vehicle 101, the crowdsourcing vehicle 102 and the crowdsourcing vehicle N and the cloud server 200, the data of the interaction may include data of a parking lot, which is not limited herein.
In this embodiment, the crowdsourcing vehicle has crowdsourcing capability, data of a plurality of parking lots, which can be collected by the crowdsourcing vehicle, is uploaded to the cloud server, the server clusters the data of the plurality of parking lots to obtain position information of the plurality of parking lots, and sends the position information of the plurality of parking lots to the vehicle, wherein the position information of the plurality of parking lots may include GPS position information of the plurality of parking lots, and the vehicle determines a target parking lot from the plurality of parking lots through a neighbor (KNN) algorithm according to the position information of the vehicle.
In some embodiments, the vehicle may acquire remaining parking spaces of the parking lots, find a parking lot closest to the vehicle according to the position information of the vehicle and the position information of the parking lots, and determine a parking lot closer to the vehicle and having more parking spaces as a target parking lot according to the remaining parking space conditions of the parking lot. For example, if the parking lot 1 and the parking lot 2 are each 1.3km away from the vehicle, the remaining parking spaces of the parking lot 1 are 20, and the remaining vehicles of the parking lot 2 are 80, the parking lot 2 is determined as the target parking lot.
In some embodiments, the vehicle may acquire the time of the journey to the plurality of parking lots, find the parking lot closest to the vehicle according to the position information of the vehicle and the position information of the plurality of parking lots, and determine the parking lot closer to the vehicle and having a shorter journey time as the target parking lot according to the time of the journey to the plurality of parking lots. For example, each of the parking lot 1 and the parking lot 2 is 1.3km from the vehicle, the time of the distance to the parking lot 1 takes 5 minutes, the time of the distance to the parking lot 2 takes 10 minutes, and the parking lot 1 is determined as a target parking lot.
In some embodiments, if data of a parking lot in the data of the plurality of parking lots changes, the changed data of the parking lot is issued to the vehicle, and the vehicle updates the position information of the parking lot corresponding to the data of the parking lot, so that the vehicle acquires the latest position information of the parking lot.
Step S130: and downloading the map corresponding to the target parking lot from the cloud server.
In this embodiment, the vehicle may be connected to the cloud server through WIFI, ZigBee, 2G/3G/4G/5G, the vehicle may preset and store identification information, the identification information is used for the vehicle to search for a map corresponding to the target parking lot, and the vehicle may download the map corresponding to the target parking lot from the cloud server according to the identification information. For example, if the identification information is/province/city/district/parking lot name, and the identification information of the target parking lot is/province 1/city 1/district 1/parking lot name 1, the map corresponding to the target parking lot is downloaded from the cloud server according to/province 1/city 1/district 1/parking lot name 1.
In some embodiments, the vehicle may maintain a data file that stores the downloaded parking lot name and the version number of the parking lot, wherein the format of the data file may include json, which is not limited herein.
As one mode, when the version number corresponding to the name of the target parking lot changes, a map corresponding to the target parking lot is downloaded from the cloud server; and when the version number corresponding to the target parking lot name is not changed, the map corresponding to the target parking lot is not downloaded from the cloud server. For example, 1/city 1/district 1/parking lot name 1/2.1.json is stored in the data file, and when the file corresponding to the target parking lot is 1/city 1/district 1/parking lot name 2/2.2.json, the version number corresponding to the target parking lot name changes, and the map corresponding to the target parking lot is downloaded from the cloud server; and when the file corresponding to the target parking lot is 1/province/city 1/district 1/parking lot name 2/2.1.json, the version number corresponding to the target parking lot name is not changed, and the map corresponding to the target parking lot is not downloaded from the cloud server.
As another mode, when it is determined that the local area of the vehicle does not store the map corresponding to the target parking lot, downloading the map corresponding to the target parking lot from the cloud server according to the identification information; and when the local storage of the vehicle is determined to be in the map file corresponding to the target parking lot, the map corresponding to the target parking lot is not downloaded from the cloud server according to the identification information. For example, 1/city 1/district 1/parking lot name 1/2.1.json is stored in the data file, and when the file corresponding to the target parking lot is 1/city 1/district 1/parking lot name 2/2.1.json, the map corresponding to the target parking lot is not stored locally in the vehicle, and the map corresponding to the target parking lot is downloaded from the cloud server; and when the file corresponding to the target parking lot is 1/province/city 1/district 1/parking lot name 1/2.1.json, determining that the map corresponding to the target parking lot is stored in the local of the vehicle, and not downloading the map corresponding to the target parking lot from the cloud server.
In some embodiments, a map corresponding to a target parking lot is downloaded from a cloud server, and a memory parking function of a vehicle may be started, and parking is performed in the target parking lot according to the memory parking function.
The embodiment of the application provides a method, a device, a vehicle and a storage medium for downloading a parking lot map, the method comprises the steps of obtaining position information of the vehicle, determining a target parking lot from a plurality of parking lots based on the position information of the vehicle and the position information of the plurality of parking lots, wherein the position information of the plurality of parking lots is obtained by clustering data of the plurality of parking lots acquired by crowdsourcing vehicles, and downloading a map corresponding to the target parking lot from a cloud server.
Referring to fig. 5, fig. 5 is a schematic flowchart illustrating a method for downloading a parking lot map according to an embodiment of the present application. As will be explained in detail below with respect to the flow shown in fig. 5, the method for downloading a parking lot map may specifically include the following steps:
step S210: position information of the vehicle is acquired.
For detailed description of step S210, please refer to step S110, which is not described herein again.
Step S220: and searching the parking lot closest to the vehicle from the plurality of parking lots based on the position information of the vehicle and the position information of the plurality of parking lots.
In this embodiment, a parking lot closest to the vehicle may be searched for from among the plurality of parking lots using the KNN algorithm according to the position information of the vehicle and the position information of the plurality of parking lots.
Step S230: and determining the parking lot closest to the vehicle as the target parking lot.
In this embodiment, the vehicle may determine the parking lot closest to the vehicle as the target parking lot. Referring to fig. 6, fig. 6 is a schematic diagram illustrating a fourth application environment of the method for downloading a parking lot map according to the embodiment of the present application, where a parking lot 11 and a parking lot 12 are located near a vehicle 100, and when the vehicle 100 is closer to the parking lot 11, the parking lot 11 is determined as a target parking lot.
In some embodiments, the user may set a range of the closest distance in advance, and when the distance between the vehicle and the parking lot is within the range of the closest distance, the parking lot is determined to be the target parking lot.
In some embodiments, there may be a plurality of parking lots closest to the vehicle, and when the distances from the plurality of parking lots to the vehicle are the same, the remaining parking spaces of the vehicles corresponding to the plurality of vehicles are obtained in real time, and the parking lot with more remaining parking spaces is determined as the target parking lot. For example, if the parking lot 1 and the parking lot 2 are each 1.3km away from the vehicle, and the remaining parking spaces of the parking lot 1 are 20, and the remaining parking spaces of the parking lot 2 are 80, the parking lot 2 is regarded as the target parking lot.
In some embodiments, the destination of the user may be obtained, there are a plurality of parking lots closest to the vehicle, and when the distances between the plurality of parking lots and the vehicle are the same, the remaining parking lots of the vehicles corresponding to the plurality of vehicles are obtained in real time, and the parking lot closer to the destination with more remaining parking lots is determined as the target parking lot. For example, if the destination of the user is building 1, parking lot 1 and parking lot 2 are each located 1.3km from the vehicle, parking lot 1 has 20 remaining parking spaces, parking lot 2 has 80 remaining vehicles, parking lot 1 has 1km from building 1, and parking lot 2 has 1.2km from building 1, parking lot 1 is determined as the target parking lot.
Step S240: and acquiring identification information corresponding to the target parking lot, wherein the identification information is used for uniquely identifying the target parking lot.
In this embodiment, identification information corresponding to the target parking lot is obtained, and the identification information may be used to identify the target parking lot by displacement, where the identification information may include a name of/province/city/district/parking lot, and the identification information may further include a name/version number of/province/city/district/parking lot.
Step S250: and downloading a map corresponding to the target parking lot from the cloud server based on the identification information.
In this embodiment, the vehicle may be connected to the cloud server through WIFI, ZigBee, 2G/3G/4G/5G, the vehicle may preset and store identification information, the identification information is used for the vehicle to search for a map corresponding to the target parking lot, and the vehicle may download the map corresponding to the target parking lot from the cloud server according to the identification information. For example, if the identification information is/province/city/district/parking lot name, and the identification information of the target parking lot is/province 1/city 1/district 1/parking lot name 1, the map corresponding to the target parking lot is downloaded from the cloud server according to/province 1/city 1/district 1/parking lot name 1.
In some embodiments, the vehicle may maintain a data file that stores the downloaded parking lot name and the version number of the parking lot, wherein the format of the data file may include json, which is not limited herein.
As one mode, when the version number corresponding to the name of the target parking lot changes, a map corresponding to the target parking lot is downloaded from the cloud server; and when the version number corresponding to the target parking lot name is not changed, the map corresponding to the target parking lot is not downloaded from the cloud server. For example, 1/city 1/district 1/parking lot name 1/2.1.json is stored in the data file, and when the file corresponding to the target parking lot is 1/city 1/district 1/parking lot name 2/2.2.json, the version number corresponding to the target parking lot name changes, and the map corresponding to the target parking lot is downloaded from the cloud server; when the file corresponding to the target parking lot is 1/province/city 1/district 1/parking lot name 2/2.1.json, the version number corresponding to the target parking lot name is not changed, and the map corresponding to the target parking lot is not downloaded from the cloud server;
referring to fig. 7, fig. 7 is a flowchart illustrating the step S250 of the method for downloading a parking lot map shown in fig. 5 according to the present application. As will be described in detail with respect to the flow shown in fig. 7, the method for downloading a parking lot map may specifically include the following steps:
step S251: and judging whether a map corresponding to the target parking lot is stored locally in the vehicle or not based on the identification information.
In this embodiment, the vehicle may maintain a data file storing the downloaded parking lot name and the version number of the parking lot, wherein the format of the data file may include json, which is not limited herein. Judging whether a local area of the vehicle stores a map corresponding to the target parking lot or not according to the identification information, and when the name of the target parking lot is not stored in the data file, the local area of the vehicle does not store the map corresponding to the target parking lot; when the name of the target parking lot is stored in the data file, the local storage of the vehicle stores a map corresponding to the target parking lot. For example, the data file stores 1/city 1/district 1/parking lot name 1/2.1.json, and when the file corresponding to the target parking lot is 1/city 1/district 1/parking lot name 2/2.1.json, the local area of the vehicle does not store the map corresponding to the target parking lot; and when the file corresponding to the target parking lot is 1/province/city 1/district 1/parking lot name 1/2.1.json, the local storage of the vehicle stores the map corresponding to the target parking lot.
Step S252: when it is determined that the map corresponding to the target parking lot is not stored locally in the vehicle, the map corresponding to the target parking lot is downloaded from the cloud server based on the identification information.
In the embodiment, when the local area of the vehicle is determined not to store the map corresponding to the target parking lot, the map corresponding to the target parking lot is downloaded from the cloud server according to the identification information; and when the local storage of the vehicle is determined to be in the map file corresponding to the target parking lot, the map corresponding to the target parking lot is not downloaded from the cloud server according to the identification information. For example, 1/city 1/district 1/parking lot name 1/2.1.json is stored in the data file, and when the file corresponding to the target parking lot is 1/city 1/district 1/parking lot name 2/2.1.json, the map corresponding to the target parking lot is not stored locally in the vehicle, and the map corresponding to the target parking lot is downloaded from the cloud server; when the file corresponding to the target parking lot is 1/province/city 1/district 1/parking lot name 1/2.1.json, determining that the map corresponding to the target parking lot is stored locally in the vehicle, and not downloading the map corresponding to the target parking lot from the cloud server.
Step S260: and starting a memory parking function of the vehicle.
In some embodiments, the vehicle downloads a map corresponding to the target parking lot from the cloud server, and when it is detected that the map corresponding to the target parking lot is downloaded, the vehicle automatically starts a memory parking function of the vehicle. The memory parking function is that after the vehicle learns the target parking lot map, the vehicle can automatically perform intelligent auxiliary driving along the memory route, drive the vehicle to the target parking space, and stop at the target parking space.
In some embodiments, a vehicle display screen may be disposed in the vehicle, the vehicle downloads a map corresponding to the target parking lot from the cloud server, and prompts a user in the vehicle display screen that the map corresponding to the target parking lot has been downloaded, and asks the user whether to start a memory parking function of the vehicle, where the user may input a command to start the memory parking function through a screen, or the user may input a command to start the memory parking function through voice input, which is not limited herein. Fig. 8 is a schematic diagram illustrating a fifth application environment of the method for downloading a parking lot map according to the embodiment of the present application, where whether to start the memory parking function is displayed in the vehicle display screen 110, so as to prompt a user whether to start the memory parking function.
In some embodiments, the vehicle may be preset and stored with a location information range, which may be used to determine whether the vehicle reaches the target parking lot, and when it is detected that the distance between the location information of the vehicle and the location information of the target parking lot is within the location information range, it is determined that the vehicle reaches the target parking lot, and a memory parking function of the vehicle is started; and when the distance between the position information of the vehicle and the position information of the target parking lot is detected to be out of the position information range, determining that the vehicle does not reach the target parking lot, and not starting the memory parking function of the vehicle.
Step S270: and performing memory parking processing on the target parking lot based on the map corresponding to the target parking lot.
In this embodiment, after the memory parking function of the vehicle is started, the vehicle may perform memory parking processing in the target parking lot according to the map corresponding to the target parking lot, so as to park the vehicle in the target parking lot.
Compared with the method for downloading the map of the parking lot shown in fig. 3, the method for downloading the map of the parking lot provided by one embodiment of the application can determine the parking lot closest to the target parking lot according to the position information of the vehicle and the position information of the plurality of parking lots, download the map corresponding to the target parking lot from the cloud server according to the identification information of the target parking lot, start the memory parking function of the vehicle after the downloading is completed, and enable the vehicle to perform the memory parking processing according to the map corresponding to the target parking lot, so that the vehicle can download the map corresponding to the target parking lot in an uninfluenced manner, and perform intelligent parking auxiliary driving according to the map corresponding to the target parking lot.
Referring to fig. 9, fig. 9 is a schematic flowchart illustrating a method for downloading a parking lot map according to an embodiment of the present application. In a specific embodiment, the state information includes a driving speed, and the position information of the parking lot includes position information of an entrance of the parking lot. As will be explained in detail below with respect to the flow shown in fig. 9, the method for downloading a parking lot map may specifically include the following steps:
step S310: position information of the vehicle is acquired.
For detailed description of step S310, please refer to step S110, which is not described herein again.
Step S320: when it is determined that the vehicle is not in the parking lot based on the position information of the vehicle and the position information of the plurality of parking lots, the state information of the vehicle is acquired, and the positional relationship of the vehicle with each of the parking lots is acquired.
In the present embodiment, when it is determined that the vehicle is not in the parking lot from the position information of the vehicle and the position information of the plurality of parking lots, the state information of the vehicle is acquired, and the positional relationship of the vehicle and each parking lot is acquired. The state information of the vehicle may include a driving speed of the vehicle, an adjustment direction of the vehicle, and a road attribute where the vehicle is located, which is not limited herein.
In some cases, the state information of the vehicle may include a traveling speed of the vehicle, the vehicle may preset and store a speed threshold, the vehicle may acquire the traveling speed of the vehicle, and when the traveling speed of the vehicle is lower than the speed threshold, it is determined that the state information satisfies a preset state condition; when the running speed of the vehicle is higher than the speed threshold value, the state information is determined not to meet the preset state condition. For example, the speed threshold is 30km/h, when the running speed of the vehicle is 15km/h, the running speed of the vehicle is lower than the speed threshold, and it is determined that the state information meets the preset state condition; and when the running speed of the vehicle is 35km/h, the running speed of the vehicle is higher than a speed threshold value, and the state information is determined not to meet the preset state condition.
In other cases, the state information of the vehicle may include an adjustment direction of the vehicle, and the vehicle may acquire the adjustment direction of the vehicle, and determine that the state information satisfies the preset state condition when the adjustment direction of the vehicle is adjusted toward the parking lot; when the adjustment direction of the vehicle is not adjusted toward the parking lot, it is determined that the state information does not satisfy the preset state condition.
In still other cases, the state information of the vehicle may include an attribute of a road on which the vehicle is located, and the vehicle may acquire the attribute of the road on which the vehicle is located, and when the road on which the vehicle is located is not a main road, determine that the state information satisfies a preset state condition; and when the road on which the vehicle is located is the main road, determining that the state information does not meet the preset state condition.
In some embodiments, the vehicle may preset and store a distance threshold, and the vehicle may acquire a distance between the vehicle and an entrance of each parking lot. When the distance between the vehicle and at least one entrance of the parking lot is smaller than a distance threshold value, determining that the position relation between the vehicle and each parking lot meets a preset relation condition; and when the distance between the vehicle and the entrance of at least one parking lot is larger than a distance threshold value, determining that the position relation between the vehicle and each parking lot does not meet a preset relation condition. For example, the distance threshold is 50 meters, when the distance between the vehicle and the entrance of at least one parking lot is 20 meters, the distance between the vehicle and the entrance of at least one parking lot is smaller than the distance threshold, and it is determined that the position relationship between the vehicle and each parking lot meets the preset relationship condition; and when the distance between the vehicle and at least one entrance of the parking lot is 100 meters, determining that the position relation between the vehicle and each parking lot does not meet the preset relation condition, wherein the distance between the vehicle and at least one entrance of the parking lot is greater than a distance threshold value.
Step S330: and when the state information meets a preset state condition and the position relation meets a preset relation condition, determining a target parking lot from the plurality of parking lots.
In this embodiment, when the state information satisfies the preset state condition and the position relationship satisfies the preset relationship condition, the target parking lot is determined from the plurality of parking lots, where the state information may include a driving speed of the vehicle, an adjustment direction of the vehicle, a road attribute where the vehicle is located, and the like, and is not limited herein. As one mode, when two of the state information satisfy a preset state condition and the positional relationship satisfies a preset relationship condition, a target parking lot is determined from the plurality of parking lots. For example, when the running speed of the vehicle and the adjusted direction of the vehicle in the state information both satisfy a preset state condition, and the positional relationship satisfies a preset relationship condition, a target parking lot is determined from the plurality of parking lots.
In some embodiments, the state information may include a traveling speed of the vehicle, the vehicle may previously set and store a speed threshold, the vehicle may acquire the traveling speed of the vehicle, and the state information is determined to satisfy the preset state condition when the traveling speed of the vehicle is lower than the speed threshold. The vehicle may set and store a distance threshold in advance, and the vehicle may acquire a distance between the vehicle and an entrance of each parking lot. And when the distance between the vehicle and at least one entrance of the parking lot is smaller than a distance threshold value, determining that the position relation between the vehicle and each parking lot meets a preset relation condition. And when the state information meets the preset state condition and the position relation meets the preset relation condition, determining a target parking lot from the plurality of parking lots. For example, the speed threshold value is 30km/h, the distance threshold value is 50 meters, when the driving speed of the vehicle is 15km/h and the distance between the vehicle and the entrance of at least one parking lot is 20 meters, the state information satisfies the preset state condition, the position relation satisfies the preset relation condition, and the target parking lot is determined from the plurality of parking lots; when the driving speed of the vehicle is 15km/h and the distance between the vehicle and the entrance of at least one parking lot is 100 meters, the state information satisfies a preset state condition, the positional relationship does not satisfy a preset relationship condition, and the target parking lot is not determined from the plurality of parking lots.
In some embodiments, the state information may include an adjustment direction of the vehicle, and the vehicle may acquire the adjustment direction of the vehicle, and determine that the state information satisfies the preset state condition when the adjustment direction of the vehicle is adjusted toward the parking lot. The vehicle may set and store a distance threshold in advance, and the vehicle may acquire a distance between the vehicle and an entrance of each parking lot. And when the distance between the vehicle and at least one entrance of the parking lots is smaller than a distance threshold value, determining that the position relation between the vehicle and each parking lot meets a preset relation condition. And when the state information meets the preset state condition and the position relation meets the preset relation condition, determining a target parking lot from the plurality of parking lots. For example, the distance threshold is 50 meters, when the adjustment direction of the vehicle is toward the parking lot and the distance between the vehicle and the entrance of at least one of the parking lots is 20 meters, the state information satisfies a preset state condition and the position relationship satisfies a preset relationship condition, and a target parking lot is determined from the plurality of parking lots; when the adjustment direction of the vehicle is not toward the parking lot and the distance between the vehicle and the entrance of at least one of the parking lots is 20 m, the state information does not satisfy the preset state condition, the positional relationship satisfies the preset relationship condition, and the target parking lot is not determined from the plurality of parking lots.
In some embodiments, the state information may include an attribute of a road on which the vehicle is located, and the vehicle may acquire the attribute of the road on which the vehicle is located, and determine that the state information satisfies the preset state condition when the road on which the vehicle is located is not the main road. The vehicle may set and store a distance threshold in advance, and the vehicle may acquire a distance between the vehicle and an entrance of each parking lot. And when the distance between the vehicle and at least one entrance of the parking lot is smaller than a distance threshold value, determining that the position relation between the vehicle and each parking lot meets a preset relation condition. And when the state information meets the preset state condition and the position relation meets the preset relation condition, determining a target parking lot from the plurality of parking lots. For example, the distance threshold is 50 meters, when the road where the vehicle is located is not the main road and the distance between the vehicle and the entrance of at least one parking lot is 20 meters, the state information satisfies the preset state condition and the position relationship satisfies the preset relationship condition, and the target parking lot is determined from the plurality of parking lots; and when the road where the vehicle is located is a main road and the distance between the vehicle and the entrance of at least one parking lot is 20 meters, the state information does not meet the preset state condition, the position relation meets the preset relation condition, and the target parking lot is not determined from the plurality of parking lots.
Step S340: and downloading the map corresponding to the target parking lot from the cloud server.
For detailed description of step S340, please refer to step S130, which is not described herein again.
Compared with the method for downloading the parking lot map shown in fig. 3, the method for downloading the parking lot map provided by one embodiment of the application can determine the target parking lot from a plurality of parking lots according to the state information of the vehicle and the position relationship between the vehicle and each parking lot, and download the map corresponding to the target parking lot from the cloud server, so that the vehicle can download the map corresponding to the target parking lot in an imperceptible manner, and can determine the target parking lot according to the state information of the vehicle and the position relationship between the vehicle and the parking lot, thereby avoiding that the vehicle does not have a parking demand, but determines the target parking lot as the target parking lot when the vehicle is close to the parking lot, and downloads the map.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described devices and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Referring to fig. 10, fig. 10 is a block diagram illustrating a downloading apparatus for a parking lot map according to an embodiment of the present application. The downloading device 300 of the parking lot map is applied to the vehicle, and will be explained with reference to the block diagram shown in fig. 10, the downloading device 300 of the parking lot map includes: a vehicle position information obtaining module 310, a target parking lot determining module 320, and a parking lot map downloading module 330, wherein:
a vehicle position information obtaining module 310, configured to obtain position information of the vehicle.
A target parking lot determination module 320, configured to determine a target parking lot from the plurality of parking lots based on the location information of the vehicle and the location information of the plurality of parking lots, where the location information of the plurality of parking lots is obtained based on clustering data of the plurality of parking lots collected by crowdsourced vehicles.
Further, the target parking lot determination module 320 includes: distance nearest parking lot finding submodule and parking lot determining submodule, wherein:
a nearest parking lot finding sub-module configured to find a parking lot nearest to the vehicle from the plurality of parking lots based on the position information of the vehicle and the position information of the plurality of parking lots.
And the parking lot determining submodule is used for determining the parking lot closest to the vehicle as the target parking lot.
Further, the target parking lot determination module 320 further includes: position relation obtains submodule and target parking area and confirms submodule, wherein:
a positional relationship acquisition sub-module configured to acquire status information of the vehicle and acquire a positional relationship of the vehicle with each of the parking lots when it is determined that the vehicle is not in the parking lot based on the positional information of the vehicle and the positional information of the parking lots.
And the target parking lot determining submodule is used for determining a target parking lot from the plurality of parking lots when the state information meets a preset state condition and the position relation meets a preset relation condition.
Further, the positional relationship acquisition sub-module includes: a travel speed acquisition unit and a first state information determination unit, wherein:
a running speed acquisition unit for acquiring a running speed of the vehicle.
A first state information determination unit configured to determine that the state information satisfies a preset state condition when the travel speed is lower than a speed threshold.
Further, the position relation obtaining sub-module further includes: parking entry distance acquisition unit and second status information confirm the unit, wherein:
a parking entrance distance acquisition unit for acquiring a distance between the vehicle and an entrance of each of the parking lots;
and the second state information determining unit is used for determining that the position relation between the vehicle and each parking lot meets a preset relation condition when the distance between the vehicle and at least one entrance of the parking lots is smaller than a distance threshold value.
A parking lot map downloading module 330, configured to download, from the cloud server, a map corresponding to the target parking lot.
Further, the parking lot map downloading module 330 includes: identification information acquisition submodule and map download submodule, wherein:
and the identification information acquisition submodule is used for acquiring identification information corresponding to the target parking lot, wherein the identification information is used for uniquely identifying the target parking lot.
And the map downloading submodule is used for downloading the map corresponding to the target parking lot from the cloud server based on the identification information.
Further, the map downloading submodule comprises a local storage judging unit and a target parking lot map downloading unit, wherein:
and the local storage judging unit is used for judging whether a map corresponding to the target parking lot is stored in the local of the vehicle or not based on the identification information.
And the target parking lot map downloading unit is used for downloading the map corresponding to the target parking lot from the cloud server based on the identification information when the fact that the map corresponding to the target parking lot is not stored locally in the vehicle is determined.
Further, the downloading apparatus 300 of the parking lot map further includes: memory function start module and the memory processing module of parking, wherein:
and the memory parking function starting module is used for starting the memory parking function of the vehicle.
And the memory parking processing module is used for carrying out memory parking processing on the target parking lot based on the map corresponding to the target parking lot.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other type of coupling.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Referring to fig. 11, a block diagram of a vehicle 100 according to an embodiment of the present disclosure is shown. The vehicle 100 of the present application may include one or more of the following components: a processor 110, a memory 120, a touch screen 130, and one or more applications, wherein the one or more applications may be stored in the memory 120 and configured to be executed by the one or more processors 110, the one or more programs configured to perform the methods as described in the aforementioned method embodiments.
Processor 110 may include one or more processing cores, among other things. The processor 110 interfaces with various components throughout the vehicle 100 using various interfaces and lines to perform various functions of the vehicle 100 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 120, as well as invoking data stored in the memory 120. Alternatively, the processor 110 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 110 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content to be displayed; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 110, but may be implemented by a communication chip.
The Memory 120 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 120 may be used to store instructions, programs, code sets, or instruction sets. The memory 120 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the terminal 100 in use, such as a phonebook, audio-video data, chatting log data, and the like.
The touch screen 130 is used to Display information input by a user, information provided to the user, and various graphic user interfaces of the vehicle 100, which may be composed of graphics, text, icons, numbers, video, and any combination thereof, and in one example, the touch screen 130 may be a Liquid Crystal Display (LCD) or an Organic Light-Emitting Diode (OLED), which is not limited herein.
Referring to fig. 12, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable medium 500 has stored therein a program code that can be called by a processor to execute the method described in the above-described method embodiments.
The computer-readable storage medium 400 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 500 includes a non-volatile computer-readable storage medium. The computer readable storage medium 400 has storage space for program code 410 for performing any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. Program code 410 may be compressed, for example, in a suitable form.
To sum up, the method, the device, the vehicle and the storage medium for downloading the parking lot map are used for acquiring the position information of the vehicle, determining the target parking lot from the parking lots based on the position information of the vehicle and the position information of the parking lots, wherein the position information of the parking lots is obtained by clustering the data of the parking lots acquired by crowdsourcing vehicles, and downloading the map corresponding to the target parking lot from the cloud server, so that the position information of the parking lots clustered by combining the data of the parking lots is realized, the vehicle can download the map corresponding to the target parking lot in an imperceptible manner, the parking lot map is not required to be downloaded by a user through manual triggering, and the user experience is improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A method for downloading a parking lot map is applied to a vehicle, and the vehicle is connected with a cloud server, and the method comprises the following steps:
acquiring position information of the vehicle;
determining a target parking lot from the plurality of parking lots based on the position information of the vehicle and position information of the plurality of parking lots, wherein the position information of the plurality of parking lots is obtained based on clustering data of the plurality of parking lots acquired by crowdsourced vehicles;
and downloading the map corresponding to the target parking lot from the cloud server.
2. The method according to claim 1, further comprising, after the downloading the map corresponding to the target parking lot from the cloud server:
starting a memory parking function of the vehicle;
and performing memory parking processing on the target parking lot based on the map corresponding to the target parking lot.
3. The method of claim 1, wherein the determining a target parking lot from the plurality of parking lots based on the location information of the vehicle and the location information of the plurality of parking lots comprises:
searching for a parking lot closest to the vehicle from the plurality of parking lots based on the position information of the vehicle and the position information of the plurality of parking lots;
and determining the parking lot closest to the vehicle as the target parking lot.
4. The method of claim 1, wherein the downloading the map corresponding to the target parking lot from the cloud server comprises:
acquiring identification information corresponding to the target parking lot, wherein the identification information is used for uniquely identifying the target parking lot;
and downloading a map corresponding to the target parking lot from the cloud server based on the identification information.
5. The method of claim 4, wherein the downloading the map corresponding to the target parking lot from the cloud server based on the identification information comprises:
judging whether a map corresponding to the target parking lot is stored locally in the vehicle or not based on the identification information;
when it is determined that the map corresponding to the target parking lot is not stored locally in the vehicle, the map corresponding to the target parking lot is downloaded from the cloud server based on the identification information.
6. The method according to any one of claims 1 to 5, wherein the determining a target parking lot from among a plurality of parking lots based on the position information of the vehicle and the position information of the plurality of parking lots includes:
when it is determined that the vehicle is not in the parking lot based on the position information of the vehicle and the position information of the plurality of parking lots, acquiring state information of the vehicle and acquiring a positional relationship of the vehicle with each of the parking lots;
and when the state information meets a preset state condition and the position relation meets a preset relation condition, determining a target parking lot from the plurality of parking lots.
7. The method of claim 6, wherein the status information includes a travel speed, the obtaining the status information of the vehicle further comprising:
acquiring the running speed of the vehicle;
and when the running speed is lower than a speed threshold value, determining that the state information meets a preset state condition.
8. A parking lot map downloading device is applied to a vehicle, the vehicle is connected with a cloud server, and the device comprises:
the vehicle position information acquisition module is used for acquiring the position information of the vehicle;
a target parking lot determination module, configured to determine a target parking lot from a plurality of parking lots based on location information of the vehicle and location information of the plurality of parking lots, where the location information of the plurality of parking lots is obtained based on clustering data of the plurality of parking lots collected by crowdsourced vehicles;
and the parking lot map downloading module is used for downloading the map corresponding to the target parking lot from the cloud server.
9. A vehicle comprising a memory and a processor, the memory coupled to the processor, the memory storing instructions that, when executed by the processor, the processor performs the method of any of claims 1-7.
10. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 7.
CN202210022558.4A 2022-01-10 2022-01-10 Method and device for downloading map of parking lot, vehicle and storage medium Active CN114501308B (en)

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