CN115394106B

CN115394106B - Method and device for searching vehicle, storage medium and vehicle

Info

Publication number: CN115394106B
Application number: CN202210843468.1A
Authority: CN
Inventors: 周俊杰; 黄硕; 王栋梁; 高立; 刘坤鹏
Original assignee: FAW Group Corp
Current assignee: FAW Group Corp
Priority date: 2022-07-18
Filing date: 2022-07-18
Publication date: 2024-06-14
Anticipated expiration: 2042-07-18
Also published as: CN115394106A

Abstract

The invention discloses a method and a device for searching a vehicle, a storage medium and the vehicle. Wherein the method comprises the following steps: the cloud responds to the vehicle searching instruction generated by the client and acquires vehicle searching information sent by the client, wherein the vehicle searching information comprises at least one of the following components: vehicle information of the target vehicle sought; the cloud end matches on the high-precision map based on the vehicle searching information, and first three-dimensional positioning data of the client end are obtained; the cloud end queries second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the cloud end generates space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle. The invention solves the technical problems of low vehicle searching speed and large limitation of the parking garage.

Description

Method and device for searching vehicle, storage medium and vehicle

Technical Field

The invention relates to the field of vehicles, in particular to a method and a device for searching a vehicle, a storage medium and the vehicle.

Background

At present, when a parking garage is used for searching a car, a common method is to adopt a car searching key of a car key to search the car according to lamplight or sound prompt sent by the car, but when a person is far away from the car or is not on the same layer, the method is not applicable, or a geographic tag or an electronic tag is arranged in a parking lot, but the method requires a parking lot manager to reform the parking lot, and meanwhile, a user is required to actively take a picture or access a management system of the parking lot, so that the car searching speed is low.

Aiming at the problems of low vehicle searching speed and large limitation in parking garage vehicle searching, no effective solution is proposed at present.

Disclosure of Invention

The embodiment of the invention provides a method and a device for searching vehicles, a storage medium and the vehicles, which at least solve the technical problems of low vehicle searching speed and high limitation in parking garage searching.

According to an aspect of an embodiment of the present invention, there is provided a method of finding a vehicle, wherein the method includes: the cloud responds to the vehicle searching instruction generated by the client and acquires vehicle searching information sent by the client, wherein the vehicle searching information comprises at least one of the following components: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the cloud end matches on the high-precision map based on the vehicle searching information, and first three-dimensional positioning data of the client end are obtained; the cloud end queries second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the cloud end generates space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle.

Optionally, the cloud end queries second three-dimensional positioning data of the target vehicle on the high-precision map based on vehicle information of the target vehicle, including: the cloud acquires positioning information of a target vehicle and characteristic information of the target vehicle in an area, wherein the positioning information of the target vehicle is used for representing the coordinate position of the target vehicle in a planar map; the cloud end matches the positioning information of the target vehicle on the high-precision map to obtain a sub-high-precision map of the target vehicle, wherein the sub-high-precision map of the target vehicle is a sub-high-precision map which maps the high-precision map to the target vehicle according to the positioning information of the target vehicle; and matching the characteristic information in the area where the target vehicle is located with the sub-high-precision map of the target vehicle to obtain second three-dimensional positioning data.

Optionally, the cloud end matches on the high-precision map based on the vehicle searching information, and obtains first three-dimensional positioning data of the client, including: the cloud acquires positioning information of the client and characteristic information in an area where the client is located, wherein the positioning information of the client is used for representing the coordinate position of the client in a planar map; the cloud end matches the positioning information of the client with the high-precision map to obtain a sub-high-precision map of the client, wherein the sub-high-precision map of the client is a sub-high-precision map which maps the high-precision map to the client according to the positioning information of the client; and the cloud end matches the characteristic information in the region where the client is located with the sub-high-precision map of the client to obtain first three-dimensional positioning data.

According to an aspect of an embodiment of the present invention, there is provided another method of finding a vehicle, wherein the method includes: the client generates a vehicle searching instruction and sends vehicle searching information to the cloud based on the vehicle searching instruction, wherein the vehicle searching information comprises at least one of the following components: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the method comprises the steps that a client obtains space navigation information from a cloud, wherein the space navigation information is generated based on first three-dimensional positioning data and second three-dimensional positioning data, and the space navigation information is used for indicating a vehicle searching track between the client and a target vehicle; the first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained by matching on a high-precision map based on the vehicle searching information; the second three-dimensional positioning data are used for representing vehicle information based on the target vehicle, and inquiring the obtained positioning data of the target vehicle on the high-precision map, wherein the second three-dimensional positioning data are parking information determined when the target vehicle is parked to a parking space.

Optionally, the method further comprises: responding to the condition that the client is in a no-signal state, and receiving positioning information of a target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information and the characteristic information are sent by the target vehicle, and the target vehicle is in the no-signal state; and in response to the client being in a signal state, the client sends the positioning information of the target vehicle and the characteristic information of the region where the target vehicle is located to the cloud.

Optionally, after the client obtains the spatial navigation information from the cloud, the method further includes: the client responds to the movement of the client and automatically updates the first three-dimensional positioning data; and updating the space navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data.

Optionally, after updating the spatial navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data, the method further comprises: in response to the first three-dimensional positioning data and the second three-dimensional positioning data coinciding, the client ends the spatial navigation.

According to an aspect of an embodiment of the present invention, there is provided another method of finding a vehicle, wherein the method includes: the target vehicle parks to the parking stall, and vehicle information of the target vehicle is synchronized to the cloud, wherein the vehicle information comprises: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked; the method comprises the steps that a target vehicle receives three-dimensional positioning data returned by a cloud based on vehicle information, wherein the three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the target vehicle senses a vehicle searching instruction remotely sent by the client, and triggers prompt information, wherein the prompt information comprises at least one of the following components: light and sound; the client acquires space navigation information from the cloud based on the vehicle searching instruction, wherein the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of a target vehicle.

Optionally, the method further comprises: in response to the target vehicle being in a no-signal state, enabling the target vehicle to send positioning information of the target vehicle and characteristic information in an area where the target vehicle is located to a client, wherein the client is in the no-signal state; the method comprises the steps that in response to the fact that a client is in a signal state, the client sends positioning information of a target vehicle and characteristic information in an area where the target vehicle is located to a cloud; and responding to the condition that the target vehicle is in a signal state, so that the target vehicle sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud.

According to an aspect of an embodiment of the present invention, there is provided a vehicle searching system including: the target vehicle is used for synchronizing vehicle information to the cloud end when the target vehicle is parked to a parking space, wherein the vehicle information comprises: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked; the cloud end is used for determining and storing three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information; the system comprises a client, a cloud end and a target vehicle, wherein the client is used for generating a vehicle searching instruction and acquiring space navigation information from the cloud end, and the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle; the cloud end determines three-dimensional positioning data of the client on the high-precision map by responding to the vehicle searching instruction generated by the client, and generates space navigation information based on the three-dimensional positioning data of the client and the stored three-dimensional positioning data of the target vehicle.

According to another aspect of the embodiment of the present invention, there is also provided an apparatus for searching for a vehicle, including: the first processing unit is used for responding to the vehicle searching instruction generated by the client and acquiring vehicle searching information sent by the client, wherein the vehicle searching information comprises at least one of the following components: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the second processing unit is used for matching on the high-precision map based on the vehicle searching information by the cloud to acquire first three-dimensional positioning data of the client; the query unit is used for querying second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle is parked to a parking space; the generation unit is used for generating space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data by the cloud, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle.

According to another aspect of the embodiments of the present invention, there is provided another apparatus for searching for a vehicle, including: the third processing unit is used for generating a vehicle searching instruction by the client and sending vehicle searching information to the cloud based on the vehicle searching instruction, wherein the vehicle searching information comprises at least one of the following components: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the system comprises an acquisition unit, a target vehicle and a client, wherein the acquisition unit is used for acquiring space navigation information from the cloud, the space navigation information is generated based on first three-dimensional positioning data and second three-dimensional positioning data, and the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle; the first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained by matching on a high-precision map based on the vehicle searching information; the second three-dimensional positioning data are used for representing vehicle information based on the target vehicle, and inquiring the obtained positioning data of the target vehicle on the high-precision map, wherein the second three-dimensional positioning data are parking information determined when the target vehicle is parked to a parking space.

According to another aspect of the embodiments of the present invention, there is provided another apparatus for searching for a vehicle, including: the fourth processing unit is configured to park the target vehicle to the parking space, and synchronize vehicle information of the target vehicle to the cloud, where the vehicle information includes: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked; the receiving unit is used for receiving three-dimensional positioning data returned by the cloud based on the vehicle information by the target vehicle, wherein the three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the sensing unit is used for sensing a vehicle searching instruction remotely sent by the client by the target vehicle, triggering prompt information, wherein the prompt information comprises at least one of the following components: light and sound; the client acquires space navigation information from the cloud based on the vehicle searching instruction, wherein the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of a target vehicle.

According to another aspect of an embodiment of the present invention, there is also provided a computer-readable storage medium. The computer readable storage medium includes a stored program, wherein the device in which the computer readable storage medium is located is controlled to execute the method for finding a vehicle according to the embodiment of the present invention when the program runs.

According to another aspect of an embodiment of the present invention, there is also provided a processor. The processor is used for running a program, wherein the program executes the method for searching the vehicle in the embodiment of the invention when running.

According to another aspect of the embodiment of the present invention, there is also provided a vehicle for performing the method for finding a vehicle according to the embodiment of the present invention.

In the embodiment of the invention, the cloud responds to the vehicle searching instruction generated by the client and acquires the vehicle searching information sent by the client, wherein the vehicle searching information comprises at least one of the following components: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the cloud end matches on the high-precision map based on the vehicle searching information, and first three-dimensional positioning data of the client end are obtained; the cloud end queries second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the cloud end generates space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle. That is, the cloud responds to the vehicle searching instruction generated by the client, acquires the vehicle searching information sent by the client, matches the vehicle searching information on the high-precision map to acquire the first three-dimensional positioning data of the client, inquires the second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, and finally generates the space navigation information according to the first three-dimensional positioning data and the second three-dimensional positioning data, so that the purposes of searching vehicles in the parking garage and fast searching vehicles are achieved, the technical problems of low vehicle searching speed and high limitation of the parking garage are solved, and the technical effects of searching vehicles in the parking garage and improving the vehicle searching speed and no limitation are achieved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

FIG. 1 is a flow chart of finding a vehicle according to an embodiment of the present invention;

FIG. 2 is a flow chart of another method of finding a vehicle according to an embodiment of the invention;

FIG. 3 is a flow chart of another method of finding a vehicle according to an embodiment of the invention;

FIG. 4 is a flow chart of a method of parking lot vehicle finding according to an embodiment of the invention;

FIG. 5 is a schematic illustration of a coarse positioning of a vehicle according to an embodiment of the invention;

FIG. 6 is a schematic diagram of a vehicle synchronous transfer of information according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a system for finding a vehicle according to an embodiment of the invention;

FIG. 8 is a schematic illustration of an apparatus for finding a vehicle according to an embodiment of the invention;

FIG. 9 is a schematic illustration of another vehicle finding apparatus according to an embodiment of the invention;

Fig. 10 is a schematic view of another apparatus for finding a vehicle according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, shall fall within the scope of the invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

In accordance with an embodiment of the present invention, a method of finding a vehicle is provided, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.

Fig. 1 is a flowchart of a method of finding a vehicle according to an embodiment of the present invention, as shown in fig. 1, the method may include the steps of:

Step S101, a cloud responds to a vehicle searching instruction generated by a client and acquires vehicle searching information sent by the client, wherein the vehicle searching information comprises at least one of the following components: the method comprises the steps of positioning information of a client, characteristic information in an area where the client is located and vehicle information of a target vehicle to be searched.

In the technical scheme provided in the above step S101, when the client side seeks the vehicle, the client side will generate a vehicle seeking instruction and generate vehicle seeking information, the cloud side responds to the vehicle seeking instruction of the client side and obtains the vehicle seeking information of the client side, and the vehicle seeking information includes at least one of the following: the method comprises the steps that positioning information of a client in a plane map, characteristic information of at least one azimuth in an area where the client is located, and vehicle information of a target vehicle which is searched for is license plate of the target vehicle, positioning information of the target vehicle in the plane map and characteristic information of at least one azimuth in the area where the target vehicle is located.

For example, when the client needs to find a vehicle, a vehicle searching instruction is generated on a mobile terminal application program of the client, and the client obtains positioning information of the client on a planar map and characteristic information of at least one azimuth in an area where the client is located according to a global navigation positioning system receiver of the client, and the cloud responds to the vehicle searching instruction of the client and obtains the vehicle searching information.

Step S102, the cloud end performs matching on a high-precision map based on the vehicle searching information, and first three-dimensional positioning data of the client end are obtained.

In the technical scheme provided in the step S102, the cloud end matches the positioning information of the client on the planar map with the characteristic information of at least one azimuth in the area where the client is located on the high-precision map to obtain the first three-dimensional positioning data of the client, wherein the first three-dimensional positioning data of the client is the position of the client on the high-precision map at the moment when the client is about to find the target vehicle.

Step S103, the cloud end inquires second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle is parked to a parking space.

In the technical scheme provided in the step S103, the cloud end queries the second three-dimensional positioning data of the target vehicle on the high-precision map according to the license plate information of the vehicle, wherein the second three-dimensional positioning data of the target vehicle is the position of the target vehicle on the high-precision map when the target vehicle is parked to the parking space.

Step S104, the cloud end generates space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle.

In the technical scheme provided in the step S104, the cloud computing unit generates spatial navigation information according to the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the spatial navigation information is used for indicating a vehicle searching track from the first three-dimensional positioning data to the second three-dimensional positioning data of the target vehicle.

In the above steps S101 to S104, the cloud end responds to the vehicle searching instruction generated by the client end and obtains the vehicle searching information sent by the client end, wherein the vehicle searching information includes at least one of the following: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the cloud end matches on the high-precision map based on the vehicle searching information, and first three-dimensional positioning data of the client end are obtained; the cloud end queries second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the cloud end generates space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle. That is, the cloud responds to the vehicle searching instruction generated by the client, acquires the vehicle searching information sent by the client, matches the vehicle searching information on the high-precision map to acquire the first three-dimensional positioning data of the client, inquires the second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, and finally generates the space navigation information according to the first three-dimensional positioning data and the second three-dimensional positioning data, so that the technical problems of low vehicle searching speed and high limitation of the parking garage are solved, and the technical effects of vehicle searching in the parking garage, and speed and no limitation of the vehicle searching are achieved.

The above-described method of this embodiment is further described below.

As an optional embodiment, step S103, the cloud end queries, based on the vehicle information of the target vehicle, the second three-dimensional positioning data of the target vehicle on the high-precision map, including: the cloud acquires positioning information of a target vehicle and characteristic information of the target vehicle in an area, wherein the positioning information of the target vehicle is used for representing the coordinate position of the target vehicle in a planar map; the cloud end matches the positioning information of the target vehicle on the high-precision map to obtain a sub-high-precision map of the target vehicle, wherein the sub-high-precision map of the target vehicle is a sub-high-precision map which maps the high-precision map to the target vehicle according to the positioning information of the target vehicle; and matching the characteristic information in the area where the target vehicle is located with the sub-high-precision map of the target vehicle to obtain second three-dimensional positioning data.

In the embodiment, the cloud obtains the characteristic information of at least one azimuth in the coordinate position of the target vehicle in the plane map and the parking position time zone of the target vehicle through wireless communication when the target vehicle is in the parking space, the cloud performs preliminary matching on the coordinate position of the target vehicle in the plane map on the high-precision map to obtain a high-precision sub-map containing the target vehicle, and performs accurate matching on the characteristic information of at least one azimuth in the parking position time zone of the target vehicle and the sub-high-precision map containing the target vehicle to obtain second three-dimensional positioning data.

For example, the cloud obtains, through wireless communication, when the target vehicle is in the parking space, that the coordinate position of the target vehicle on the planar map is the parking lot of the building a, and that the feature information in front of the region in which the target vehicle is located is a blue wall, the wall surface has a forward arrow, the cloud performs preliminary matching on the high-precision map on the parking lot of the building a to obtain a high-precision sub-map containing the parking lot of the building a, and performs precise matching on the blue wall, the wall surface has a forward arrow and the high-precision sub-map containing the parking lot of the building a to obtain the 222 th parking space of the negative three layers of the parking lot of the building a of the target vehicle.

As an optional embodiment, step S102, the cloud end matches on the high-precision map based on the vehicle searching information, and obtains the first three-dimensional positioning data of the client, which includes: the cloud acquires positioning information of the client and characteristic information in an area where the client is located, wherein the positioning information of the client is used for representing the coordinate position of the client in a planar map; the cloud end performs preliminary matching on the positioning information of the client and the high-precision map to obtain a sub-high-precision map of the client, wherein the sub-high-precision map of the client is a sub-high-precision map which maps the high-precision map to the client according to the positioning information of the client; and the cloud end precisely matches the characteristic information in the region where the client is located with the sub-high-precision map of the client to obtain first three-dimensional positioning data.

The cloud end obtains the coordinate position of the client end in the plane map and the characteristic information of at least one azimuth in the area of the current plane coordinate position of the client end in a wireless communication mode, the cloud end carries out preliminary matching on the coordinate position of the client end in the plane map on a high-precision map to obtain a high-precision sub-map containing the client end, and carries out accurate matching on the characteristic information of at least one azimuth in the area of the current plane coordinate position of the client end and the sub-high-precision map containing the client end to obtain first three-dimensional positioning data.

For example, the cloud obtains, by means of wireless communication, that the coordinate position of the client in the planar map is an a building, that the front characteristic information in the area where the coordinate position of the client is located is a computer, that the right characteristic information is a girl wearing red clothes, long hair and glasses, and that the cloud primarily matches the a building where the client is located on the high-precision map to obtain a high-precision sub-map containing the a building, and that the computer and the high-precision sub-map containing the a building are precisely matched to obtain a 6 th station of the third row of 1002 offices where the client is located on the 10 th floor of the a building.

According to the embodiment, the second three-dimensional positioning data of the target vehicle on the high-precision map is queried through the cloud based on the vehicle information of the target vehicle, and the method comprises the following steps: the cloud acquires positioning information of a target vehicle and characteristic information of the target vehicle in an area, wherein the positioning information of the target vehicle is used for representing the coordinate position of the target vehicle in a planar map; the cloud end matches the positioning information of the target vehicle on the high-precision map to obtain a sub-high-precision map of the target vehicle, wherein the sub-high-precision map of the target vehicle is a sub-high-precision map which maps the high-precision map to the target vehicle according to the positioning information of the target vehicle; matching the characteristic information in the area where the target vehicle is located with a sub-high-precision map of the target vehicle to obtain second three-dimensional positioning data; matching is carried out on a high-precision map based on vehicle searching information through a cloud, first three-dimensional positioning data of a client are obtained, and the method comprises the following steps: the cloud acquires positioning information of the client and characteristic information in an area where the client is located, wherein the positioning information of the client is used for representing the coordinate position of the client in a planar map; the cloud end performs preliminary matching on the positioning information of the client and the high-precision map to obtain a sub-high-precision map of the client, wherein the sub-high-precision map of the client is a sub-high-precision map which maps the high-precision map to the client according to the positioning information of the client; and the cloud end precisely matches the characteristic information in the region where the client is located with the sub-high-precision map of the client to obtain first three-dimensional positioning data. The technical problems of low vehicle searching speed and large limitation of the parking garage are solved, and the technical effects of vehicle searching in the parking garage, vehicle searching speed improvement and no limitation are achieved.

The method of finding a vehicle of the present application will be described from the client side.

FIG. 2 is a flow chart of another method of finding a vehicle, as shown in FIG. 2, according to an embodiment of the invention, which may include the steps of:

Step S201, a client generates a vehicle searching instruction and sends vehicle searching information to a cloud based on the vehicle searching instruction, wherein the vehicle searching information comprises at least one of the following components: the method comprises the steps of positioning information of a client, characteristic information in an area where the client is located and vehicle information of a target vehicle to be searched.

In the technical scheme provided in the above step S201, the client generates a vehicle searching instruction, and uploads vehicle searching information to the cloud end in a wireless communication manner based on the vehicle searching instruction, wherein the vehicle searching information includes at least one of the following: the method comprises the steps that positioning information of a client in a plane map, characteristic information of at least one azimuth in an area where the client is located, and vehicle information of a target vehicle which is searched for is license plate of the target vehicle, positioning information of the target vehicle in the plane map and characteristic information of at least one azimuth in the area where the target vehicle is located.

Step S202, a client acquires space navigation information from a cloud, wherein the space navigation information is generated based on first three-dimensional positioning data and second three-dimensional positioning data, and the space navigation information is used for indicating a vehicle searching track between the client and a target vehicle; the first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained by matching on a high-precision map based on the vehicle searching information; the second three-dimensional positioning data are used for representing vehicle information based on the target vehicle, and inquiring the obtained positioning data of the target vehicle on the high-precision map, wherein the second three-dimensional positioning data are parking information determined when the target vehicle is parked to a parking space.

In the technical scheme provided in the step S202, the client acquires the spatial navigation information from the cloud end in a wireless communication manner, wherein the spatial navigation information is generated by a calculation unit of the cloud end based on the first three-dimensional positioning data and the second three-dimensional positioning data, and the spatial navigation information is used for indicating a vehicle searching track from the first three-dimensional positioning data to the second three-dimensional positioning data of the target vehicle; the first three-dimensional positioning data of the client are obtained by matching the positioning information of the client on the planar map and the characteristic information of at least one azimuth in the area where the client is located on the high-precision map, and the second three-dimensional positioning data of the target vehicle are obtained by inquiring the positioning data of the target vehicle on the high-precision map according to license plate information of the vehicle by a cloud.

The client side generates a vehicle searching instruction and sends vehicle searching information to the cloud end based on the vehicle searching instruction, wherein the vehicle searching information comprises at least one of the following components: the method comprises the steps that positioning information of a client, characteristic information in an area where the client is located and vehicle information of a target vehicle to be searched are obtained from a cloud end by the client, wherein the spatial navigation information is generated based on first three-dimensional positioning data and second three-dimensional positioning data and is used for indicating a vehicle searching track between the client and the target vehicle; the first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained by matching on a high-precision map based on the vehicle searching information; the second three-dimensional positioning data are used for representing vehicle information based on the target vehicle, and inquiring the obtained positioning data of the target vehicle on the high-precision map, wherein the second three-dimensional positioning data are parking information determined when the target vehicle is parked to a parking space. Solves the technical problems of low vehicle searching speed and large limitation of the parking garage, achieves the technical effects of vehicle searching in the parking garage, improves the vehicle searching speed and has no limitation

The above-described method of this embodiment is further described below.

As an optional embodiment, in response to the client being in a no-signal state, the client receives positioning information of a target vehicle and feature information in an area where the target vehicle is located, where the positioning information is sent by the target vehicle, and the target vehicle is in a no-signal state; and in response to the client being in a signal state, the client sends the positioning information of the target vehicle and the characteristic information of the region where the target vehicle is located to the cloud.

In the embodiment, when the client and the target vehicle are in a parking lot without signals, the client receives positioning information of the target vehicle on a plane map and characteristic information of at least one azimuth in an area where the target vehicle is located, wherein the positioning information of the target vehicle is sent by a Bluetooth communication mode; when the client runs from the parking lot without signals to the area with signals, the client sends the positioning information of the target vehicle on the plane map and the characteristic information of at least one azimuth in the area where the target vehicle is located to the cloud end in a wireless communication mode.

As an optional embodiment, step S202, after the client obtains the spatial navigation information from the cloud, the method further includes: the client responds to the movement of the client and automatically updates the first three-dimensional positioning data; and updating the space navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data.

In this embodiment, along with the movement of the client, at this time, the cloud end of the mobile terminal of the client has a high-precision map synchronized from the cloud end, so that the first three-dimensional positioning data can be automatically generated and updated, and the computing unit of the cloud end of the mobile terminal of the client updates the spatial navigation information of the vehicle according to the updated first three-dimensional positioning data and second three-dimensional positioning data.

As an optional embodiment, step S202, after updating the spatial navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data, the method further includes: in response to the first three-dimensional positioning data and the second three-dimensional positioning data coinciding, the client ends the spatial navigation.

In this embodiment, the client ends the spatial navigation when the first three-dimensional positioning data and the second three-dimensional positioning data of the mobile terminal of the client coincide.

In the embodiment, in response to the client being in a no-signal state, the client receives positioning information of a target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information is sent by the target vehicle, and the target vehicle is in the no-signal state; the method comprises the steps that in response to the fact that a client is in a signal state, the client sends positioning information of a target vehicle and characteristic information in an area where the target vehicle is located to a cloud end, and the client responds to movement of the client to automatically update first three-dimensional positioning data; and updating the spatial navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data, and ending the spatial navigation by the client in response to the superposition of the first three-dimensional positioning data and the second three-dimensional positioning data. The technical problems of low vehicle searching speed and large limitation of the parking garage are solved, and the technical effects of vehicle searching in the parking garage, vehicle searching speed improvement and no limitation are achieved.

The method of finding a vehicle according to the present application will be described from the vehicle end side.

FIG. 3 is a flow chart of another method of finding a vehicle according to an embodiment of the invention, as shown in FIG. 3, the method may include the steps of:

step 301, a target vehicle parks to a parking space, and synchronizes own vehicle information to a cloud, wherein the vehicle information includes: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked.

In the technical scheme provided in the step S301, when the target vehicle is parked to the parking space with the signal, the target vehicle uploads the vehicle information of the target vehicle to the cloud end in a wireless communication mode, wherein the positioning information of the target vehicle on the plane map and the characteristic information of at least one azimuth of the parking area of the parking space.

In step 302, the target vehicle receives three-dimensional positioning data returned by the cloud based on the vehicle information, wherein the three-dimensional positioning data is parking information determined when the target vehicle is parked in a parking space.

In the technical scheme provided in the step S302, the target vehicle receives three-dimensional positioning data of parking information determined when the target vehicle returned by the cloud based on the vehicle information is parked to the parking space through wireless communication.

Step 303, the target vehicle senses a vehicle searching instruction remotely sent by the client, and triggers prompt information, wherein the prompt information comprises at least one of the following components: light and sound; the client acquires space navigation information from the cloud based on the vehicle searching instruction, wherein the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of a target vehicle.

In the technical scheme provided in the step S303, the sensing system of the target vehicle senses a vehicle searching instruction remotely sent by an application program of the mobile terminal of the client, and the target vehicle sends out prompt information of light and sound, wherein the client obtains space navigation information from the cloud based on the vehicle searching instruction in a wireless communication mode, and the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of the target vehicle for the client to search vehicles.

According to the embodiment, the target vehicle is parked to the parking space, and the vehicle information of the target vehicle is synchronized to the cloud, wherein the vehicle information comprises: the method comprises the steps that positioning information of a target vehicle and characteristic information of a parked parking space are obtained, the target vehicle receives three-dimensional positioning data returned by a cloud end based on vehicle information, wherein the three-dimensional positioning data are parking information determined when the target vehicle parks to the parking space, the target vehicle senses a vehicle searching instruction remotely sent by a client, and prompt information is triggered, and comprises at least one of the following: light and sound; the client acquires space navigation information from the cloud based on the vehicle searching instruction, wherein the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of a target vehicle. The technical problems of low vehicle searching speed and large limitation of the parking garage are solved, and the technical effects of vehicle searching in the parking garage, vehicle searching speed improvement and no limitation are achieved.

The above-described method of this embodiment is further described below.

As an optional embodiment, in response to the target vehicle being in a no-signal state, causing the target vehicle to send positioning information of the target vehicle and characteristic information in an area where the target vehicle is located to the client, wherein the client is in the no-signal state; the method comprises the steps that in response to the fact that a client is in a signal state, the client sends positioning information of a target vehicle and characteristic information in an area where the target vehicle is located to a cloud; and responding to the condition that the target vehicle is in a signal state, so that the target vehicle sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud.

In the embodiment, when a target vehicle and a client are in a parking lot without signals, the target vehicle sends positioning information of the target vehicle and characteristic information in an area where the target vehicle is located to the client in a Bluetooth communication mode, and when the client leaves the parking lot without signals, the client enters the area with signals, and sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to a cloud in a wireless communication mode; when the target vehicle is in the parking lot with the signal, the target vehicle sends the positioning information of the target vehicle and the characteristic information of at least one azimuth in the area where the target vehicle is located to the cloud end in a wireless communication mode.

In the embodiment, in response to the target vehicle being in a no-signal state, the target vehicle sends positioning information of the target vehicle and characteristic information in an area where the target vehicle is located to a client, wherein the client is in the no-signal state; the method comprises the steps that in response to the fact that a client is in a signal state, the client sends positioning information of a target vehicle and characteristic information in an area where the target vehicle is located to a cloud; and responding to the condition that the target vehicle is in a signal state, so that the target vehicle sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud. The technical problems of low vehicle searching speed and large limitation of the parking garage are solved, and the technical effects of vehicle searching in the parking garage, vehicle searching speed improvement and no limitation are achieved.

Example 2

The technical solution of the embodiment of the present invention will be illustrated in the following with reference to a preferred embodiment.

As the number of car owners increases, the parking lot scale is also expanding to meet the parking demands of users, but as the parking lot expands, the topography of the parking lot is more and more complex, and many parking lots are more and more closed and do not cover the global positioning system (Global Positioning System, abbreviated as GPS) signal, so that users are more and more difficult to find cars in the parking lot.

At present, a user generally adopts a car searching key pressed by a car key in a parking lot to search a car according to lamplight or sound prompt sent by the car, but when a person is far away from the car or is not in the same layer, the mode is inapplicable; there is a way to set a geographic tag or an electronic tag in a parking lot, but this way requires a parking lot manager to modify the parking lot, and also requires a user to actively take a picture or access a management system of the parking lot, which has a limitation in use.

However, the embodiment of the invention provides a method for searching vehicles in a parking lot, which can be convenient for a user to quickly and smoothly find the vehicles, does not need to actively photograph the user to make a label, and does not depend on parking facilities.

Fig. 4 is a flowchart of a method for searching for vehicles in a parking lot according to an embodiment of the present invention, as shown in fig. 4, the method may include the following steps:

step S401: and recording rough positioning information of the vehicle.

Fig. 5 is a schematic diagram of rough positioning of a vehicle according to an embodiment of the present invention, as shown in fig. 5, fig. 5 includes a global positioning system 501, a vehicle 502 and a parking garage 503, the vehicle 502 continuously acquires its own position through the global positioning system before entering the non-signal parking lot 503, generates a first position, the global positioning system is disconnected after the vehicle enters the non-signal parking lot, and at this time, the first position is continuously updated through an inertial measurement unit (Inertial measurement unit, abbreviated as IMU) of the vehicle body, and after the vehicle is stationary, the vehicle records the current first position, that is, rough positioning information of the vehicle.

When the vehicle enters a parking lot with signals, after the vehicle is stopped, the vehicle acquires the position of the vehicle through a global positioning system and records the current first position, and the current first position is rough positioning information of the vehicle.

Step S402: and acquiring the surrounding characteristic information of the vehicle.

And after the vehicle is stopped, the vehicle-mounted camera or the vehicle-mounted laser radar acquires the surrounding characteristic information of the vehicle.

Step S403: an accurate position of the vehicle is generated.

Fig. 6 is a schematic diagram of synchronous information transmission of a vehicle according to an embodiment of the present invention, as shown in fig. 6, fig. 6 includes a vehicle 601, a mobile phone user 602, and a cloud 603, when the vehicle 601 is in a parking lot without signals, the vehicle 601 synchronizes coarse positioning information and generated feature information to the mobile phone user 602 through bluetooth, and when the user walks out of the parking lot, the mobile phone user 603 uploads the coarse positioning information and feature information around a vehicle body of the vehicle to the cloud by using a wireless communication transmission mode.

When the vehicle is in the parking lot with signals, the vehicle uploads rough positioning information and surrounding feature information of the vehicle to the cloud end in a wireless communication transmission mode.

The cloud end performs preliminary matching with the high-precision map according to the uploaded rough positioning information, then performs accurate matching with the high-precision map according to the surrounding characteristic information of the vehicle body, and generates a second position, namely the accurate position of the vehicle.

Step S404: and generating a vehicle searching instruction.

When the user needs to use the car, the user only needs to press the car searching command button in the application program of the user.

Step S405: recording the current position information of the user.

The user generates the current position information of the user according to the Beidou satellite navigation receiver of the user.

Step S406: and acquiring surrounding characteristic information of the user.

The user shoots the surrounding characteristic information of the user according to the camera of the user.

Step S407: an accurate location of the user is generated.

The cloud end firstly uses the current position information of the user to perform primary matching in the high-precision map, then performs accurate matching in the high-precision map according to the characteristic information, and generates a third position, namely the accurate position of the user.

Step 408: navigation information is generated.

The cloud computing unit generates navigation information with high-precision map semantics according to the accurate position of the vehicle and the accurate position of the user and sends the navigation information to the user.

After the user takes the high-precision map (specific area, reduces the storage and calculation data volume), the vehicle searching is started according to the navigation information, and along with the movement of the user position, the client automatically updates the third position of the user (at the moment, the client has the high-precision map which is synchronous from the cloud end, and can automatically generate and update the third position), and updates the latest navigation information according to the second position and the third position, so that the user can search the vehicle, and when the user leaves the vehicle by 100 meters, the client can remotely start the vehicle, simultaneously trigger the light and sound prompt of the vehicle, and provide more vehicle searching basis for the user. When the third location and the second location coincide, the client ends the navigation.

Other users can also use passwords or other authorization modes to acquire the automobile position (the second position) from the cloud end and generate navigation information, so that the automobile searching of other people is facilitated.

In the embodiment, the vehicle continuously acquires the position of the vehicle through a global positioning system before entering a non-signal parking lot to generate a first position, the global positioning system is disconnected after the vehicle enters the non-signal parking lot, the first position is continuously updated through an inertia measurement unit of a vehicle body at the moment, after the vehicle is stopped, the vehicle records the current rough positioning information, after the vehicle is stopped, a vehicle-mounted camera or a vehicle-mounted laser radar acquires the surrounding characteristic information of the vehicle, when the vehicle is in the non-signal parking lot, the vehicle synchronizes the rough positioning information and the generated characteristic information to a mobile phone user through Bluetooth, after the user leaves the parking lot, the mobile phone user uploads the rough positioning information of the vehicle and the surrounding characteristic information of the vehicle body to a cloud end in a wireless communication transmission mode, the cloud end performs preliminary matching with a high-precision map according to the uploaded rough positioning information, then, according to the characteristic information around the car body, making accurate matching on the high-accuracy map to generate the accurate position of the car, when the user needs to use the car, only needs to press a car searching command button in the application program of the user, the user generates the current position information of the user according to the Beidou satellite navigation receiver of the user, the user shoots the surrounding characteristic information of the user according to the camera of the user, the cloud firstly uses the current position information of the user to make a preliminary matching on the high-accuracy map, then makes accurate matching on the high-accuracy map according to the characteristic information to generate the accurate position of the user, the cloud computing unit generates navigation information with the semantic meaning of the high-accuracy map according to the accurate position of the car and the accurate position of the user, and sends the navigation information to the user, after the user takes the high-accuracy map, the user starts to search the car according to the navigation information, along with the movement of the position of the user, the client automatically updates the accurate position of the user, and updating the latest navigation information according to the accurate position of the vehicle and the accurate position of the user, so as to provide the user with more vehicle searching basis, and when the user leaves the vehicle 100 meters, the client can remotely start the vehicle and trigger the light and sound prompt of the vehicle at the same time. When the user precise location and the vehicle precise location coincide, the client ends the navigation. The technical problems of vehicle searching in the parking garage and low vehicle searching speed are solved, the technical effects of vehicle searching in the parking garage and vehicle searching speed improvement are achieved.

Example 3

According to the embodiment of the invention, a system for searching the vehicle is also provided. It should be noted that the system for searching for a vehicle may be used to perform the method for searching for a vehicle in the implementation of the present invention.

Fig. 7 is a schematic diagram of a system for finding a vehicle according to an embodiment of the invention. As shown in fig. 7, a system for finding a vehicle may include:

The target vehicle 701 is configured to synchronize vehicle information to the cloud end when the target vehicle is parked to the parking space, where the vehicle information includes: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked.

The cloud 702 is configured to determine and store three-dimensional positioning data of a target vehicle on a high-precision map based on vehicle information; the cloud end determines three-dimensional positioning data of the client on the high-precision map by responding to the vehicle searching instruction generated by the client, and generates space navigation information based on the three-dimensional positioning data of the client and the stored three-dimensional positioning data of the target vehicle.

The client 703 is configured to generate a vehicle-seeking instruction, and obtain spatial navigation information from the cloud, where the spatial navigation information is used to indicate a vehicle-seeking trajectory server between the client and the target vehicle.

In this embodiment, when the target vehicle is parked to the parking space, the vehicle information is synchronized to the cloud, wherein the vehicle information includes: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked; determining and storing three-dimensional positioning data of a target vehicle on a high-precision map based on vehicle information through a cloud; the cloud end determines three-dimensional positioning data of the client end on the high-precision map by responding to the vehicle searching instruction generated by the client end, generates space navigation information based on the three-dimensional positioning data of the client end and the stored three-dimensional positioning data of the target vehicle, generates the vehicle searching instruction by the client end, and acquires the space navigation information from the cloud end, wherein the space navigation information is used for indicating a vehicle searching track between the client end and the target vehicle. The technical problems of vehicle searching in the parking garage and low vehicle searching speed are solved, the technical effects of vehicle searching in the parking garage and vehicle searching speed improvement are achieved.

Example 4

According to the embodiment of the invention, a device for searching the vehicle is also provided. The vehicle searching apparatus may be used to perform the vehicle searching method of embodiment 1.

Fig. 8 is a schematic view of an apparatus for finding a vehicle according to an embodiment of the present invention. As shown in fig. 8, the apparatus 800 for finding a vehicle may include: a first processing unit 801, a second processing unit 802, a querying unit 803, and a generating unit 804.

The first processing unit 801 is configured to respond to a vehicle searching instruction generated by the client, and obtain vehicle searching information sent by the client, where the vehicle searching information includes at least one of the following: the method comprises the steps of positioning information of a client, characteristic information in an area where the client is located and vehicle information of a target vehicle to be searched.

The second processing unit 802 is configured to perform matching on the high-precision map based on the vehicle searching information by using the cloud to obtain first three-dimensional positioning data of the client.

And the query unit 803 is configured to query, by using the cloud, second three-dimensional positioning data of the target vehicle on the high-precision map based on vehicle information of the target vehicle, where the second three-dimensional positioning data is parking information determined when the target vehicle is parked to a parking space.

The generating unit 804 is configured to generate spatial navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, where the spatial navigation information is used to indicate a vehicle-seeking track between the client and the target vehicle.

Wherein, the query unit 803 may include: the acquisition module is used for acquiring positioning information of the target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information of the target vehicle is used for representing the coordinate position of the target vehicle in the planar map

Wherein, the query unit 803 may include: the first matching module is used for matching the positioning information of the target vehicle on the high-precision map to obtain a sub-high-precision map of the target vehicle, wherein the sub-high-precision map of the target vehicle is a sub-high-precision map for mapping the high-precision map to the target vehicle according to the positioning information of the target vehicle.

Wherein, the query unit 803 may include: and the second matching module is used for matching the characteristic information in the area where the target vehicle is located with the sub-high-precision map of the target vehicle to obtain second three-dimensional positioning data.

The second processing unit 802 may include: the acquisition module is used for acquiring the positioning information of the client and the characteristic information in the area where the client is located by the cloud, wherein the positioning information of the client is used for representing the coordinate position of the client in the planar map.

The second processing unit 802 may include: the first matching module is used for matching the positioning information of the client with the high-precision map to obtain a sub-high-precision map of the client, wherein the sub-high-precision map of the client is a sub-high-precision map for mapping the high-precision map to the client according to the positioning information of the client.

The second processing unit 802 may include: and the second matching module is used for matching the characteristic information in the region where the client is located with the sub-high-precision map of the client by the cloud to obtain first three-dimensional positioning data.

In this embodiment, the cloud responds to a vehicle searching instruction generated by the client, and obtains vehicle searching information sent by the client, where the vehicle searching information includes at least one of the following: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the cloud end matches on the high-precision map based on the vehicle searching information, and first three-dimensional positioning data of the client end are obtained; the cloud end queries second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the cloud end generates space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle, so that the technical problems of low vehicle searching speed and high limitation of a parking garage are solved, the vehicle searching in the parking garage is achieved, and the technical effects of high vehicle searching speed and no limitation are improved.

According to the embodiment of the invention, another device for searching the vehicle is also provided. It should be noted that the apparatus for searching for a vehicle may be used to perform the method for searching for a vehicle of the embodiment shown in fig. 2 in embodiment 1.

Fig. 9 is a schematic view of another apparatus for finding a vehicle according to an embodiment of the present invention. As shown in fig. 9, the apparatus 900 for finding a vehicle may include: a third processing unit 901, an acquisition unit 902.

The third processing unit 901 is configured to generate a vehicle searching instruction by using the client, and send vehicle searching information to the cloud based on the vehicle searching instruction, where the vehicle searching information includes at least one of the following: positioning information of client, characteristic information in region of client and vehicle information of target vehicle sought

The acquiring unit 902 is configured to acquire spatial navigation information from the cloud end, where the spatial navigation information is generated based on the first three-dimensional positioning data and the second three-dimensional positioning data, and the spatial navigation information is used to indicate a vehicle-searching track between the client end and the target vehicle; the first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained by matching on a high-precision map based on the vehicle searching information; the second three-dimensional positioning data is used for representing vehicle information based on the target vehicle, and inquiring the obtained positioning data of the target vehicle on the high-precision map, wherein the second three-dimensional positioning data is parking information determined when the target vehicle is parked to a parking space

Wherein the apparatus further comprises: and the receiving unit is used for receiving the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located, which are sent by the target vehicle, in response to the client being in the no-signal state, wherein the target vehicle is in the no-signal state.

Wherein the apparatus further comprises: and the sending unit is used for responding to the state that the client is in a signal state, and the client sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud.

Alternatively, the acquiring unit 902 may include: the first updating module is used for automatically updating the first three-dimensional positioning data by the client in response to the movement of the client after the client acquires the space navigation information from the cloud.

Alternatively, the acquiring unit 902 may include: the second updating module is used for updating the space navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data after the client acquires the space navigation information from the cloud.

Wherein the second updating module may include: and the processing sub-module is used for responding to the superposition of the first three-dimensional positioning data and the second three-dimensional positioning data and ending space navigation of the client.

In this embodiment, the client generates a vehicle searching instruction and sends vehicle searching information to the cloud based on the vehicle searching instruction, where the vehicle searching information includes at least one of the following: positioning information of the client, characteristic information in an area where the client is located, and vehicle information of the searched target vehicle; the method comprises the steps that a client obtains space navigation information from a cloud, wherein the space navigation information is generated based on first three-dimensional positioning data and second three-dimensional positioning data, and the space navigation information is used for indicating a vehicle searching track between the client and a target vehicle; the first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained by matching on a high-precision map based on the vehicle searching information; the second three-dimensional positioning data are used for representing vehicle information based on the target vehicle, and inquiring the obtained positioning data of the target vehicle on the high-precision map, wherein the second three-dimensional positioning data are parking information determined when the target vehicle parks to a parking space, so that the technical problems of low vehicle searching speed and high limitation of a parking garage are solved, the vehicle searching speed of the parking garage is achieved, and the technical effects of high vehicle searching speed and no limitation are achieved.

According to the embodiment of the invention, another device for searching the vehicle is also provided. It should be noted that the apparatus for searching for a vehicle may be used to perform the method for searching for a vehicle of the embodiment shown in fig. 3 in embodiment 1.

Fig. 10 is a schematic view of another apparatus for finding a vehicle according to an embodiment of the present invention. As shown in fig. 10, the apparatus 1000 for finding a vehicle may include: a fourth processing unit 1001, a receiving unit 1002, and a sensing unit 1003.

The fourth processing unit 1001 is configured to synchronize vehicle information of a target vehicle to a cloud end by parking the target vehicle in a parking space, where the vehicle information includes: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked.

The receiving unit 1002 is configured to receive three-dimensional positioning data returned by the cloud based on vehicle information, where the three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space.

The sensing unit 1003 is configured to sense a vehicle seeking instruction remotely sent by the client, trigger a prompt message, where the prompt message includes at least one of the following: light and sound; the client acquires space navigation information from the cloud based on the vehicle searching instruction, wherein the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of a target vehicle.

Wherein the apparatus further comprises: a first transmitting unit for transmitting the positioning information of the target vehicle and the characteristic information in the area of the target vehicle to the client in response to the target vehicle being in a no-signal state, wherein the client is in a no-signal state

Wherein the apparatus further comprises: the second sending unit is used for responding to the state that the client is in a signal state, so that the client sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud

Wherein the apparatus further comprises: and the third sending unit is used for responding to the condition that the target vehicle is in a signal state, so that the target vehicle sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud.

In this embodiment, the target vehicle parks to the parking space, and synchronizes own vehicle information to the cloud, wherein the vehicle information includes: positioning information of the target vehicle and characteristic information of the parking space where the target vehicle is parked; the method comprises the steps that a target vehicle receives three-dimensional positioning data returned by a cloud based on vehicle information, wherein the three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space; the target vehicle senses a vehicle searching instruction remotely sent by the client, and triggers prompt information, wherein the prompt information comprises at least one of the following components: light and sound; the client acquires space navigation information from the cloud based on the vehicle searching instruction, wherein the space navigation information is used for representing a vehicle searching track generated based on three-dimensional positioning data of the client and three-dimensional positioning data of a target vehicle. The technical problems of low vehicle searching speed and large limitation of the parking garage are solved, and the technical effects of vehicle searching in the parking garage, vehicle searching speed improvement and no limitation are achieved.

Example 5

According to an embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program executes the method of finding a vehicle in embodiment 1.

Example 6

According to an embodiment of the present invention, there is also provided a processor for running a program, wherein the program executes the method of searching for a vehicle in embodiment 1.

Example 7

According to an embodiment of the present invention, there is also provided a vehicle for performing the method of finding a vehicle according to any one of claims 1 to 9.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of units may be a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims

1. A system for locating a vehicle, comprising:

The target vehicle is used for synchronizing the vehicle information to the cloud end when the target vehicle is parked to a parking space, wherein the vehicle information comprises: positioning information of the target vehicle and feature information of the parking space where the target vehicle is parked;

the cloud end is used for determining and storing second three-dimensional positioning data of the target vehicle on a high-precision map based on the vehicle information;

the client is used for generating a vehicle searching instruction and acquiring space navigation information from the cloud, wherein the space navigation information is used for indicating a vehicle searching track between the client and the target vehicle;

The cloud end determines first three-dimensional positioning data of the client on the high-precision map by responding to a vehicle searching instruction generated by the client, and generates the space navigation information based on the first three-dimensional positioning data of the client and stored second three-dimensional positioning data of the target vehicle, wherein the first three-dimensional positioning data is the current position of the client on the high-precision map so as to search the target vehicle;

The cloud end is further configured to determine second three-dimensional positioning data of the target vehicle on a high-precision map based on the vehicle information by performing the steps of: acquiring positioning information of the target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information of the target vehicle is used for representing a coordinate position of the target vehicle in a plane map; matching the positioning information of the target vehicle on a high-precision map to obtain a sub-high-precision map of the target vehicle, wherein the sub-high-precision map of the target vehicle is the sub-high-precision map which maps the high-precision map to the target vehicle according to the positioning information of the target vehicle; matching the characteristic information in the area where the target vehicle is located with a sub-high-precision map of the target vehicle to obtain the second three-dimensional positioning data;

The target vehicle responds to the condition that the target vehicle is in a no-signal state, and positioning information of the target vehicle and characteristic information in an area where the target vehicle is located are sent to a client, wherein the client is in the no-signal state; the client side responds to the state that the client side is in a signal state, and sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud side; and the target vehicle responds to the state that the target vehicle is in a signal state, and the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located are sent to the cloud.

2. The system of claim 1, wherein the cloud responds to the vehicle-finding instruction generated by the client and obtains vehicle-finding information sent by the client, wherein the vehicle-finding information comprises at least one of the following: the positioning information of the client, the characteristic information in the area where the client is located and the vehicle information of the searched target vehicle;

the cloud end matches on the high-precision map based on the vehicle searching information to obtain the first three-dimensional positioning data of the client, wherein the first three-dimensional positioning data is the current position of the client on the high-precision map so as to search the target vehicle;

The cloud end queries the second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to a parking space;

The cloud end generates the space navigation information based on the first three-dimensional positioning data and the second three-dimensional positioning data, wherein the space navigation information is used for indicating the vehicle searching track between the client and the target vehicle;

The cloud end queries the second three-dimensional positioning data of the target vehicle on the high-precision map based on the vehicle information of the target vehicle, and the second three-dimensional positioning data comprises: the cloud acquires positioning information of the target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information of the target vehicle is used for representing a coordinate position of the target vehicle in a planar map; the cloud end matches the positioning information of the target vehicle on a high-precision map to obtain a sub-high-precision map of the target vehicle, wherein the sub-high-precision map of the target vehicle is a sub-high-precision map obtained by mapping the high-precision map to the target vehicle according to the positioning information of the target vehicle; matching the characteristic information in the area where the target vehicle is located with a sub-high-precision map of the target vehicle to obtain the second three-dimensional positioning data;

The cloud end responds to the state that the client is in a signal state, and receives positioning information of the target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information is sent by the client; and the cloud end responds to the state that the target vehicle is in a signal state, and receives the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located, which are sent by the target vehicle.

3. The system of claim 2, wherein the cloud end is configured to obtain the first three-dimensional positioning data of the client based on matching the vehicle finding information on a high-precision map by:

the cloud acquires positioning information of the client and characteristic information in an area where the client is located, wherein the positioning information of the client is used for representing a coordinate position of the client in a planar map;

The cloud end matches the positioning information of the client with the high-precision map to obtain a sub-high-precision map of the client, wherein the sub-high-precision map of the client is a sub-high-precision map which maps the high-precision map to the client according to the positioning information of the client;

And the cloud end matches the characteristic information in the region where the client is located with the sub-high-precision map of the client to obtain the first three-dimensional positioning data.

4. The system of claim 1, wherein the client generates a seek command and sends seek information to the cloud based on the seek command, wherein the seek information comprises at least one of: the positioning information of the client, the characteristic information in the area where the client is located and the vehicle information of the searched target vehicle;

The client acquires the spatial navigation information from the cloud, wherein the spatial navigation information is generated based on the first three-dimensional positioning data and the second three-dimensional positioning data, and the spatial navigation information is used for indicating the vehicle searching track between the client and the target vehicle;

The first three-dimensional positioning data are used for representing the positioning data of the client, which are obtained based on the matching of the vehicle searching information on the high-precision map, wherein the first three-dimensional positioning data are the positions of the client on the high-precision map so as to search the target vehicle;

The second three-dimensional positioning data are used for representing the positioning data, on the high-precision map, of the target vehicle, wherein the positioning data are obtained by inquiring the vehicle information of the target vehicle, and the second three-dimensional positioning data are parking information determined when the target vehicle is parked to the parking space;

The second three-dimensional positioning data are obtained by matching characteristic information in an area where the target vehicle is located with a sub-high-precision map of the target vehicle, the sub-high-precision map of the target vehicle is obtained by matching positioning information of the target vehicle on the high-precision map, the sub-high-precision map of the target vehicle is obtained by mapping the high-precision map to the sub-high-precision map of the target vehicle according to the positioning information of the target vehicle, and the positioning information of the target vehicle is used for representing a coordinate position of the target vehicle in the plane map;

The client receives positioning information of the target vehicle and characteristic information in an area where the target vehicle is located, wherein the positioning information and the characteristic information are sent by the target vehicle in response to the target vehicle being in a no-signal state, and the client is in a no-signal state; and the client side responds to the state that the client side is in a signal state, and sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud side.

5. The system of claim 4, wherein the client receives the location information of the target vehicle and the characteristic information within the area of the target vehicle transmitted by the target vehicle in response to the client being in a no-signal state, wherein the target vehicle is in a no-signal state;

And the client side responds to the state that the client side is in a signal state, and sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud side.

6. The system of claim 4, wherein the client automatically updates the first three-dimensional positioning data in response to movement of the client after obtaining the spatial navigation information from the cloud;

And the client updates the spatial navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data.

7. The system of claim 6, wherein the client ends spatial navigation in response to the first three-dimensional positioning data and the second three-dimensional positioning data coinciding after updating spatial navigation information of the vehicle based on the updated first three-dimensional positioning data and the second three-dimensional positioning data.

8. A method of finding a vehicle, applied to a vehicle end, comprising:

the target vehicle parks to the parking space, and the vehicle information of the target vehicle is synchronized to the cloud, wherein the vehicle information comprises: positioning information of the target vehicle and feature information of the parking space where the target vehicle is parked;

the target vehicle receives second three-dimensional positioning data returned by the cloud based on the vehicle information, wherein the second three-dimensional positioning data is parking information determined when the target vehicle parks to the parking space;

the target vehicle senses a vehicle searching instruction remotely sent by the client and triggers prompt information, wherein the prompt information comprises at least one of the following components: light and sound;

The client acquires spatial navigation information from the cloud based on the vehicle searching instruction, wherein the spatial navigation information is used for representing a vehicle searching track generated based on first three-dimensional positioning data of the client and second three-dimensional positioning data of the target vehicle, and the first three-dimensional positioning data is the current position of the client on a high-precision map so as to search the target vehicle;

The second three-dimensional positioning data are obtained by matching characteristic information in an area where the target vehicle is located with a sub-high-precision map of the target vehicle, the sub-high-precision map of the target vehicle is obtained by matching positioning information of the target vehicle on a high-precision map, the sub-high-precision map of the target vehicle is obtained by mapping the high-precision map to the sub-high-precision map of the target vehicle according to the positioning information of the target vehicle, and the positioning information of the target vehicle is used for representing coordinate positions of the target vehicle in a plane map;

the method further comprises the steps of: the target vehicle responds to the condition that the target vehicle is in a no-signal state, and positioning information of the target vehicle and characteristic information in an area where the target vehicle is located are sent to a client, wherein the client is in the no-signal state; under the condition that the client is in a signal state, the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located are sent to the cloud by the client; and the target vehicle responds to the state that the target vehicle is in a signal state, and the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located are sent to the cloud.

9. The method of claim 8, wherein the method further comprises:

Responding to the target vehicle in a no-signal state, so that the target vehicle sends positioning information of the target vehicle and characteristic information in an area where the target vehicle is located to a client, wherein the client is in the no-signal state;

Responding to the state that the client is in a signal state, so that the client sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud;

And responding to the target vehicle in a signal state, so that the target vehicle sends the positioning information of the target vehicle and the characteristic information in the area where the target vehicle is located to the cloud.