CN112035140B - System upgrading method, device and equipment for intelligent parking scene and storage medium - Google Patents
System upgrading method, device and equipment for intelligent parking scene and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent parking, and discloses a system upgrading method, a device, equipment and a storage medium for an intelligent parking scene, wherein the method comprises the following steps: the method comprises the steps of obtaining current scene data corresponding to a target vehicle, uploading the current scene data to a cloud end in a preset transmission mode, enabling the cloud end to classify the current scene data to obtain the target scene data, requesting the cloud end to transmit the target scene data back to the target vehicle when a preset data return instruction is received, and upgrading an intelligent parking system of the target vehicle according to the target scene data. The target scene data is obtained through the data returning mode, lossless returning of the target scene data is achieved, scene reproduction of the intelligent parking scene is achieved, improvement of the intelligent parking scene library is facilitated, the intelligent parking system is upgraded on line through the target scene data to maintain and improve the intelligent parking scene library, and therefore real-time optimization of the intelligent parking system is achieved.
Description
Technical Field
The invention relates to the technical field of intelligent parking, in particular to a system upgrading method, device, equipment and storage medium for an intelligent parking scene.
Background
With the development of the intelligent parking technology, the intelligent parking scene library constructed based on the intelligent parking scene plays an increasingly important role in the development stage of the intelligent driving automobile, and the perfection degree of the intelligent parking scene library directly influences the performance of the intelligent driving function at the user terminal, so that more and more manufacturers are engaged in researching how to maintain and perfect the intelligent parking scene library of the user terminal, and the intelligent parking system corresponding to the intelligent parking scene library can be upgraded on line on the premise that the user is not out of home, while in the prior art, after the intelligent parking system corresponding to the intelligent parking scene library fails, most of the system suppliers are required to assign professionals to go to the site for scene reappearance, and in the intelligent parking field, the reappearance probability of a plurality of scenes is lower, and after the scenes reappeared, the scenes cannot be optimized in time, and a large amount of manpower and material resources are wasted, the optimization and the market popularization of the intelligent parking system are not facilitated. Therefore, how to maintain and perfect the intelligent parking scene library of the user terminal so as to realize the real-time optimization of the intelligent parking system becomes a problem to be solved urgently.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a system upgrading method, a device, equipment and a storage medium for an intelligent parking scene, and aims to solve the technical problem of how to maintain and perfect an intelligent parking scene library of a user terminal so as to realize real-time optimization of an intelligent parking system.
In order to achieve the above object, the present invention provides a system upgrading method for an intelligent parking scene, comprising the following steps:
when an intelligent parking instruction is received, current scene data corresponding to a target vehicle is obtained;
uploading the current scene data to a cloud end in a preset transmission mode so that the cloud end can classify the current scene data to obtain target scene data;
when a preset data return instruction is received, requesting the cloud end to return the target scene data to the target vehicle;
and upgrading the intelligent parking system of the target vehicle according to the target scene data.
Preferably, the step of uploading the current scene data to a cloud terminal through a preset transmission mode specifically includes:
acquiring attribute information of the current scene data, and judging whether the attribute information meets a preset transmission requirement;
when the preset transmission requirement is met, transmitting the current scene data to a vehicle-mounted T-BOX, and controlling the vehicle-mounted T-BOX to upload the current scene data to a cloud;
correspondingly, when a preset data return instruction is received, the step of requesting the cloud to return the target scene data to the target vehicle specifically includes:
when a preset data return instruction is received, requesting the cloud to return the target scene data to the vehicle-mounted T-BOX;
and controlling the vehicle-mounted T-BOX to receive the target scene data transmitted by the cloud end and transmitting the target scene data to the target vehicle.
Preferably, the step of acquiring current scene data corresponding to the target vehicle when the intelligent parking instruction is received specifically includes:
when an intelligent parking instruction is received, current scene data corresponding to a target vehicle are obtained, and the current scene data are stored in a preset storage area of an intelligent parking system;
correspondingly, after the steps of transmitting the current scene data to the vehicle-mounted T-BOX and controlling the vehicle-mounted T-BOX to upload the current scene data to the cloud when the preset transmission requirement is met, the method further comprises the following steps:
and deleting the current scene data from the preset storage area.
Preferably, the step of uploading the current scene data to a cloud terminal through a preset transmission mode specifically includes:
uploading the current scene data to a cloud terminal in real time through a preset cellular mobile communication technology;
correspondingly, when a preset data return instruction is received, the step of requesting the cloud to return the target scene data to the target vehicle specifically includes:
and when a preset data return instruction is received, requesting the cloud end to transmit the target scene data to the target vehicle through the preset cellular mobile communication technology.
Preferably, the step of uploading the current scene data to a cloud in a preset transmission manner, so that the cloud classifies the current scene data to obtain target scene data specifically includes:
uploading the current scene data to a cloud end through a preset transmission mode, so that the cloud end performs feature extraction on the current scene data and performs classification processing on feature extraction results to obtain target scene data.
Preferably, the step of upgrading the intelligent parking system of the target vehicle according to the target scene data specifically includes:
analyzing the target scene data to obtain a scene analysis result;
comparing the scene analysis result with a preset analysis result to obtain preset vacancy filling information;
and upgrading the intelligent parking system of the target vehicle by an over-the-air downloading technology according to the preset vacancy filling information.
Preferably, the step of acquiring current scene data corresponding to the target vehicle when the intelligent parking instruction is received specifically includes:
when an intelligent parking instruction is received, detecting whether an intelligent parking system of a target vehicle is in a system activation state;
and when the system is in the activated state, acquiring current scene data corresponding to the target vehicle.
In addition, in order to achieve the above object, the present invention further provides a system upgrading apparatus for an intelligent parking scenario, where the apparatus includes:
the data acquisition module is used for acquiring current scene data corresponding to the target vehicle when the intelligent parking instruction is received;
the data classification module is used for uploading the current scene data to a cloud end in a preset transmission mode so that the cloud end can classify the current scene data to obtain target scene data;
the data returning module is used for requesting the cloud end to return the target scene data to the target vehicle when a preset data returning instruction is received;
and the system upgrading module is used for upgrading the intelligent parking system of the target vehicle according to the target scene data.
In addition, to achieve the above object, the present invention further provides a system upgrading apparatus for an intelligent parking scene, the apparatus including: the system upgrading program of the intelligent parking scene is configured to realize the steps of the system upgrading method of the intelligent parking scene.
In addition, to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a system upgrade program of an intelligent parking scene, and the system upgrade program of the intelligent parking scene is executed by a processor to implement the steps of the system upgrade method of the intelligent parking scene.
According to the method, when an intelligent parking instruction is received, current scene data corresponding to a target vehicle are obtained, the current scene data are uploaded to a cloud end in a preset transmission mode, so that the cloud end can classify the current scene data to obtain the target scene data, when a preset data return instruction is received, the cloud end is requested to return the target scene data to the target vehicle, and an intelligent parking system of the target vehicle is upgraded according to the target scene data. The method comprises the steps of uploading current scene data to a cloud end in a preset transmission mode, so that the cloud end classifies the current scene data to obtain target scene data, requesting the cloud end to transmit the target scene data back to the target vehicle to obtain the target scene data when a preset data return instruction is received, achieving lossless return of the target scene data, achieving scene reproduction of an intelligent parking scene, facilitating improvement of an intelligent parking scene library, and performing online upgrade on the intelligent parking system through the target scene data to maintain and improve the intelligent parking scene library of a user terminal, so that real-time optimization of the intelligent parking system is achieved.
Drawings
Fig. 1 is a schematic structural diagram of a system upgrading device for an intelligent parking scene of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a system upgrade method for an intelligent parking scene according to the present invention;
FIG. 3 is a schematic diagram of a processor according to an embodiment of the present invention;
fig. 4 is a block diagram illustrating a first embodiment of a system upgrading device for an intelligent parking scene according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a system upgrading device of an intelligent parking scene in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the system upgrading apparatus for the intelligent parking scene may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the architecture shown in fig. 1 does not constitute a limitation of the system upgrade facility for the intelligent parking scenario and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and a system upgrade program for an intelligent parking scene.
In the system upgrade device for the intelligent parking scenario shown in fig. 1, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the system upgrading device for the intelligent parking scene may be arranged in the system upgrading device for the intelligent parking scene, and the system upgrading device for the intelligent parking scene calls the system upgrading program for the intelligent parking scene stored in the memory 1005 through the processor 1001 and executes the system upgrading method for the intelligent parking scene provided by the embodiment of the present invention.
The embodiment of the invention provides a system upgrading method for an intelligent parking scene, and referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the system upgrading method for the intelligent parking scene.
In this embodiment, the system upgrading method for the intelligent parking scene includes the following steps:
step S10: when an intelligent parking instruction is received, current scene data corresponding to a target vehicle is obtained;
it is easy to understand that an execution subject of this embodiment is a processor 1001 corresponding to an intelligent parking system, referring to fig. 3, and fig. 3 is a schematic structural diagram of the processor according to an embodiment of the present invention, where fig. 3 is a schematic structural diagram of the processor, where the processor 1001 includes a Micro Controller Unit (MCU) 001 and a look-around vision Unit 002, and when an intelligent parking instruction is received, the processor 1001 acquires current scene data corresponding to a target vehicle, where the current scene data includes current environment data around the target vehicle and current state data of the target vehicle itself, and in a specific implementation, in order to improve acquisition accuracy and diversity of the current scene data, so as to perfect an intelligent parking scene library constructed based on the current scene data, video data around the target vehicle may be acquired in real time by a look-around camera connected to the look-around vision Unit 002, and each sensor (an ultrasonic radar, a vehicle, a car, A position sensor, a temperature sensor, etc.), which may include a current ambient temperature, fault information of the intelligent parking system, a model of the target vehicle, a current position, a driving state, etc. The number and position of the all-round cameras can be determined according to actual requirements in specific implementation, and the all-round cameras are preferably arranged to be 4-way all-round cameras and are respectively arranged right in front of, right behind, right to left and right of the body of the target vehicle. The number and position of the ultrasonic radars can be determined according to actual requirements in specific implementation, and are preferably set to be 12-way ultrasonic radars, and based on the above preferred setting of the all-round cameras, 3-way all-round cameras can be respectively set between the right front and the right left of the vehicle body, between the right front and the right, between the right left and the right, and between the right left and the right. The intelligent parking instruction is an instruction sent by a user to start an intelligent parking function.
In a specific implementation, when an intelligent parking instruction is received, whether an intelligent parking system of a target vehicle is in a system activation state or not can be detected, and when the intelligent parking system is in the system activation state, current scene data corresponding to the target vehicle is obtained. The system activation state refers to a stage that an intelligent parking system is in a state that the whole vehicle can be controlled to enter a parking space and parking auxiliary control is performed, on the other hand, whether the intelligent parking system of a target vehicle is in a system interruption state or not can be detected when an intelligent parking instruction is received, current scene data corresponding to the target vehicle is obtained when the intelligent parking system is in the system interruption state, and the system interruption state refers to a stage that the intelligent parking system jumps to the system interruption state from the system activation stage due to interference operation of a user or the fact that some devices send abnormal signals in the system activation stage.
Step S20: uploading the current scene data to a cloud end in a preset transmission mode so that the cloud end can classify the current scene data to obtain target scene data;
in a specific implementation, the attribute information of the current scene data may be acquired, and it is determined whether the attribute information meets a preset transmission requirement, where the attribute information may be a storage amount occupied by the current scene data, and accordingly, the preset transmission requirement may be a storage amount larger than or equal to a preset storage amount occupied by the current scene data, and may also be a video length of video data around the target vehicle acquired by the all-around camera, and accordingly, the preset transmission requirement may be the video length larger than or equal to the preset video length. And when the preset transmission requirement is met, compressing the current scene data, transmitting the compressed current scene data to the vehicle-mounted T-BOX, and controlling the vehicle-mounted T-BOX to upload the compressed current scene data to the cloud.
It is easy to understand that, in order to reduce the system occupancy rate and improve the system response speed, when an intelligent parking instruction is received, current scene data corresponding to a target vehicle can be acquired and stored in a preset storage area of the intelligent parking system, and accordingly, when the preset transmission requirement is met, the current scene data is transmitted to the vehicle-mounted T-BOX, and after the step of controlling the vehicle-mounted T-BOX to upload the current scene data to the cloud, the current scene data can be deleted from the preset storage area.
In another implementation, the current scene data may be further compressed, and the compressed current scene data is uploaded to the cloud in real time through a preset cellular mobile communication technology, where the preset cellular mobile communication technology may be a fifth Generation mobile communication technology (5th Generation mobile networks or 5th Generation wireless systems, 5th-Generation, or 5G technology for short).
It should be noted that, in order to improve the maintenance efficiency of the intelligent parking scene library, the current scene data may be uploaded to a cloud end in a preset transmission manner, so that the cloud end performs feature extraction on the current scene data and performs classification processing on feature extraction results to obtain target scene data. In a specific implementation, the flow on the cloud side is as follows: the compressed current scene data is decompressed first, then feature extraction is performed on the decompressed current scene data to obtain a feature extraction result, the feature extraction can be used for extracting data which accords with a target scene from the decompressed current scene data to obtain a feature extraction result, the target scene can be set according to actual requirements for detecting that a target vehicle is performing parking operation, the vehicle is passing through a frequently-occurring accident road section, a user has a behavior of getting on or off the vehicle, and the like, and the embodiment is not limited again. Then, the feature extraction result is classified to obtain target scene data, and in the classification process, the target scene data may be classified according to a judgment standard of feature extraction, or according to a time period, a place, and the like, or according to a system state of the intelligent parking system, which is not limited in this embodiment.
Step S30: when a preset data return instruction is received, requesting the cloud end to return the target scene data to the target vehicle;
in a specific implementation, when attribute information of the current scene data is acquired and whether the attribute information meets a preset transmission requirement is judged, and when the attribute information meets the preset transmission requirement, the current scene data is transmitted to a vehicle-mounted T-BOX, the vehicle-mounted T-BOX is controlled to upload the current scene data to a cloud, and correspondingly, when a preset data return instruction is received, the cloud can be requested to transmit the target scene data back to the vehicle-mounted T-BOX, the vehicle-mounted T-BOX is controlled to receive the target scene data transmitted by the cloud, and the target scene data is transmitted to the target vehicle so as to achieve lossless return of the current scene data.
In another implementation manner, after the current scene data is uploaded to a cloud in real time through a preset cellular mobile communication technology, when a preset data return instruction is received, the cloud may be requested to transmit the target scene data to the target vehicle through the preset cellular mobile communication technology so as to achieve lossless return of the current scene data.
Step S40: and upgrading the intelligent parking system of the target vehicle according to the target scene data.
It is easy to understand that, after The target scene data is obtained, The target scene data may be analyzed to obtain a scene analysis result, so-called analysis may be understood as performing scene preview on The target scene data through a preset scene model to obtain a scene analysis result, then comparing The scene analysis result with a preset analysis result corresponding to The preset scene model to obtain preset filling-in information, where The preset scene model may be understood as a model for outputting a result of intelligent parking according to The target scene data, The preset filling-in information is patch information corresponding to a difference point between The scene analysis result and The preset analysis result, and then The intelligent parking system of The target vehicle is upgraded according to The preset filling-in information through an Over The Air (OTA) technology to maintain and perfect an intelligent parking scene library of The user terminal, therefore, the real-time optimization of the intelligent parking system is realized.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
In this embodiment, when an intelligent parking instruction is received, current scene data corresponding to a target vehicle is acquired, the current scene data is uploaded to a cloud end in a preset transmission mode, so that the cloud end classifies the current scene data to obtain the target scene data, when a preset data return instruction is received, the cloud end is requested to return the target scene data to the target vehicle, and an intelligent parking system of the target vehicle is upgraded according to the target scene data. Different from the prior art that a target vehicle returns to a factory for system unified upgrade, in the embodiment, the current scene data is uploaded to a cloud end through a preset transmission mode, so that the cloud end classifies the current scene data to obtain the target scene data, when a preset data return instruction is received, the cloud end is requested to transmit the target scene data back to the target vehicle to obtain the target scene data, lossless return of the target scene data is realized, scene recurrence of an intelligent parking scene is also realized, the improvement of an intelligent parking scene library is facilitated, the intelligent parking system is upgraded on line through the target scene data to maintain and improve the intelligent parking scene library of a user terminal, and therefore real-time optimization of the intelligent parking system is realized.
In addition, an embodiment of the present invention further provides a storage medium, where a system upgrade program of an intelligent parking scene is stored, and the system upgrade program of the intelligent parking scene is executed by a processor to implement the steps of the system upgrade method of the intelligent parking scene.
Referring to fig. 4, fig. 4 is a block diagram illustrating a first embodiment of a system upgrading device for an intelligent parking scene according to the present invention.
As shown in fig. 4, the system upgrading apparatus for an intelligent parking scene according to an embodiment of the present invention includes:
the data acquisition module 10 is configured to acquire current scene data corresponding to a target vehicle when an intelligent parking instruction is received;
the data classification module 20 is configured to upload the current scene data to a cloud in a preset transmission manner, so that the cloud performs classification processing on the current scene data to obtain target scene data;
the data returning module 30 is configured to request the cloud to return the target scene data to the target vehicle when a preset data returning instruction is received;
and the system upgrading module 40 is used for upgrading the intelligent parking system of the target vehicle according to the target scene data.
In this embodiment, when an intelligent parking instruction is received, current scene data corresponding to a target vehicle is acquired, the current scene data is uploaded to a cloud end in a preset transmission mode, so that the cloud end classifies the current scene data to obtain the target scene data, when a preset data return instruction is received, the cloud end is requested to return the target scene data to the target vehicle, and an intelligent parking system of the target vehicle is upgraded according to the target scene data. Different from the prior art that a target vehicle returns to a factory for system unified upgrade, in the embodiment, the current scene data is uploaded to a cloud end through a preset transmission mode, so that the cloud end classifies the current scene data to obtain the target scene data, when a preset data return instruction is received, the cloud end is requested to transmit the target scene data back to the target vehicle to obtain the target scene data, lossless return of the target scene data is realized, scene recurrence of an intelligent parking scene is also realized, the improvement of an intelligent parking scene library is facilitated, the intelligent parking system is upgraded on line through the target scene data to maintain and improve the intelligent parking scene library of a user terminal, and therefore real-time optimization of the intelligent parking system is realized.
Based on the first embodiment of the system upgrading device for the intelligent parking scene, a second embodiment of the system upgrading device for the intelligent parking scene is provided.
In this embodiment, the data classification module 20 is further configured to obtain attribute information of the current scene data, and determine whether the attribute information meets a preset transmission requirement;
the data classification module 20 is further configured to transmit the current scene data to a vehicle-mounted T-BOX and control the vehicle-mounted T-BOX to upload the current scene data to a cloud when the preset transmission requirement is met;
the data returning module 30 is further configured to request the cloud to return the target scene data to the vehicle-mounted T-BOX when a preset data returning instruction is received;
the data returning module 30 is further configured to control the vehicle-mounted T-BOX to receive the target scene data transmitted by the cloud, and transmit the target scene data to the target vehicle.
The data obtaining module 10 is further configured to obtain current scene data corresponding to the target vehicle when the intelligent parking instruction is received, and store the current scene data in a preset storage area of the intelligent parking system;
the data classification module 20 is further configured to delete the current scene data from the preset storage area.
The data classification module 20 is further configured to upload the current scene data to a cloud in real time through a preset cellular mobile communication technology;
the data returning module 30 is further configured to, when a preset data returning instruction is received, request the cloud to transmit the target scene data to the target vehicle through the preset cellular mobile communication technology.
The data classification module 20 is further configured to upload the current scene data to a cloud end in a preset transmission manner, so that the cloud end performs feature extraction on the current scene data and performs classification processing on a feature extraction result to obtain target scene data.
The system upgrading module 40 is further configured to analyze the target scene data to obtain a scene analysis result;
the system upgrading module 40 is further configured to compare the scene analysis result with a preset analysis result to obtain preset gap filling information;
the system upgrading module 40 is further configured to upgrade the intelligent parking system of the target vehicle through an over-the-air download technology according to the preset vacancy filling information.
The data obtaining module 10 is further configured to detect whether an intelligent parking system of a target vehicle is in a system activation state when receiving an intelligent parking instruction;
the data obtaining module 10 is further configured to obtain current scene data corresponding to the target vehicle when the system is in the activated state.
Other embodiments or specific implementation manners of the system upgrading device for the intelligent parking scene may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A system upgrade method for an intelligent parking scene, the method comprising:
when an intelligent parking instruction is received, current scene data corresponding to a target vehicle is obtained;
uploading the current scene data to a cloud end in a preset transmission mode so that the cloud end can classify the current scene data to obtain target scene data;
when a preset data return instruction is received, requesting the cloud end to return the target scene data to the target vehicle;
upgrading the intelligent parking system of the target vehicle according to the target scene data;
the step of upgrading the intelligent parking system of the target vehicle according to the target scene data specifically includes:
performing scene rehearsal on the target scene data through a preset scene model to obtain a scene analysis result, wherein the preset scene model is a model used for outputting a result of intelligent parking according to the target scene data;
comparing the scene analysis result with a preset analysis result corresponding to a preset scene model to obtain preset vacancy filling information, wherein the preset vacancy filling information is patch information corresponding to a difference point between the scene analysis result and the preset analysis result;
and upgrading the intelligent parking system of the target vehicle by an over-the-air downloading technology according to the preset vacancy filling information.
2. The method of claim 1, wherein the step of uploading the current scene data to a cloud via a predetermined transmission manner specifically comprises:
acquiring attribute information of the current scene data, and judging whether the attribute information meets a preset transmission requirement;
when the preset transmission requirement is met, transmitting the current scene data to a vehicle-mounted T-BOX, and controlling the vehicle-mounted T-BOX to upload the current scene data to a cloud;
correspondingly, when a preset data return instruction is received, the step of requesting the cloud to return the target scene data to the target vehicle specifically includes:
when a preset data return instruction is received, requesting the cloud to return the target scene data to the vehicle-mounted T-BOX;
and controlling the vehicle-mounted T-BOX to receive the target scene data transmitted by the cloud end and transmitting the target scene data to the target vehicle.
3. The method according to claim 2, wherein the step of obtaining current scene data corresponding to the target vehicle when the intelligent parking instruction is received specifically comprises:
when an intelligent parking instruction is received, current scene data corresponding to a target vehicle are obtained, and the current scene data are stored in a preset storage area of an intelligent parking system;
correspondingly, after the steps of transmitting the current scene data to the vehicle-mounted T-BOX and controlling the vehicle-mounted T-BOX to upload the current scene data to the cloud when the preset transmission requirement is met, the method further comprises the following steps:
and deleting the current scene data from the preset storage area.
4. The method of claim 1, wherein the step of uploading the current scene data to a cloud via a predetermined transmission manner specifically comprises:
uploading the current scene data to a cloud terminal in real time through a preset cellular mobile communication technology;
correspondingly, when a preset data return instruction is received, the step of requesting the cloud to return the target scene data to the target vehicle specifically includes:
and when a preset data return instruction is received, requesting the cloud end to transmit the target scene data to the target vehicle through the preset cellular mobile communication technology.
5. The method of claim 1, wherein the step of uploading the current scene data to a cloud in a preset transmission manner, so that the cloud classifies the current scene data to obtain target scene data specifically includes:
uploading the current scene data to a cloud end through a preset transmission mode, so that the cloud end performs feature extraction on the current scene data and performs classification processing on feature extraction results to obtain target scene data.
6. The method according to claim 1, wherein the step of obtaining current scene data corresponding to the target vehicle when the intelligent parking instruction is received specifically comprises:
when an intelligent parking instruction is received, detecting whether an intelligent parking system of a target vehicle is in a system activation state;
and when the system is in the activated state, acquiring current scene data corresponding to the target vehicle.
7. A system upgrade system for an intelligent parking scenario, the system comprising:
the data acquisition module is used for acquiring current scene data corresponding to the target vehicle when the intelligent parking instruction is received;
the data classification module is used for uploading the current scene data to a cloud end in a preset transmission mode so that the cloud end can classify the current scene data to obtain target scene data;
the data returning module is used for requesting the cloud end to return the target scene data to the target vehicle when a preset data returning instruction is received;
the system upgrading module is used for upgrading the intelligent parking system of the target vehicle according to the target scene data;
the system upgrading module is further used for performing scene rehearsal on the target scene data through a preset scene model to obtain a scene analysis result, and the preset scene model is a model used for outputting a result obtained when intelligent parking is performed according to the target scene data;
the system upgrading module is further configured to compare the scene analysis result with a preset analysis result corresponding to a preset scene model to obtain preset gap filling information, where the preset gap filling information is patch information corresponding to a difference point between the scene analysis result and the preset analysis result;
and the system upgrading module is also used for upgrading the intelligent parking system of the target vehicle through an over-the-air downloading technology according to the preset vacancy filling information.
8. A system upgrade device for an intelligent parking scenario, the device comprising: the intelligent parking system comprises a memory, a processor and a system upgrading program of an intelligent parking scene, wherein the system upgrading program of the intelligent parking scene is stored on the memory and can run on the processor, and is configured to realize the steps of the system upgrading method of the intelligent parking scene according to any one of claims 1 to 6.
9. A storage medium, wherein a system upgrade program for an intelligent parking scene is stored on the storage medium, and when executed by a processor, the method for system upgrade of an intelligent parking scene according to any one of claims 1 to 6 is implemented.
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