Upgrading method and device for intelligent driving, medium and electronic equipment

Abstract

The invention provides an intelligent driving upgrading method and device, a medium and electronic equipment. The method comprises the following steps: a cloud obtains a current upgrade version number, current intelligent driving upgrade data and pre-stored vehicle end feature information of a vehicle end; generating a current version upgrading strategy of the vehicle end based on the current upgrading version number of the vehicle end, the intelligent driving upgrading data and the pre-stored vehicle end feature information; and upgrading the vehicle end based on the current version upgrading strategy of the vehicle end. Compared with the traditional FOTA firmware upgrade, the cloud generates the version upgrade strategy through the upgrade version management, so that the vehicle end can complete the upgrade process within the second-level time, the response time is greatly shortened, and the efficiency of intelligent driving algorithm iteration and after-sales problem processing is improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent driving, and in particular, to an upgrading method, device, medium and electronic device for intelligent driving. Background Art

[0002] On vehicles equipped with intelligent driving functions, when intelligent driving is enabled or functions such as automatic emergency braking (AEB for short) are triggered, the system will record a large amount of intelligent driving-related data, including vehicle perception data, intermediate algorithm results, and log data of system operation. These data are usually transmitted back to the cloud, mainly for further iterative optimization of intelligent driving algorithms or as reference data for after-sales problem handling.

[0003] The current intelligent driving data processing and transmission strategy is mainly solidified in the intelligent driving domain controller (domain control) of the vehicle. However, once the vehicle is delivered to the user, if the data processing and transmission strategy needs to be adjusted, it can only be done by modifying the intelligent driving domain control software and then performing a full update through firmware over-the-air (FOTA). This process usually takes a long time. It takes more than a month from preparation, testing to the official push to complete the FOTA process. Moreover, to implement FOTA upgrades for all vehicles, it usually takes several months or even half a year, which is time-consuming and cannot quickly respond to the update requirements of intelligent driving algorithms, affecting the iteration efficiency and greatly affecting the rapid iteration of intelligent driving algorithms and the efficient handling of after-sales problems.

[0004] Therefore, the present application provides an upgrading method for intelligent driving to solve the above technical problems. Summary of the Invention

[0005] The purpose of the present application is to provide an upgrading method, device, medium and electronic device for intelligent driving, which can solve at least one of the above-mentioned technical problems. The specific solutions are as follows:

[0006] According to the specific embodiments of the present application, in the first aspect, the present application provides an upgrading method for intelligent driving, which is applied to the cloud and includes:

[0007] Obtain the current upgrade version number, current intelligent driving upgrade data and pre-stored vehicle-end feature information of the vehicle end;

[0008] Generate the current version upgrade strategy of the vehicle end based on the current upgrade version number, the intelligent driving upgrade data and the pre-stored vehicle-end feature information of the vehicle end;

[0009] Upgrade the vehicle end based on the current version upgrade strategy of the vehicle end.

[0010] Optionally, upgrading the vehicle terminal based on the current version upgrade policy of the vehicle terminal includes:

[0011] Sending an upgrade notification message to the vehicle terminal based on the current version upgrade policy of the vehicle terminal, where the upgrade notification message includes the current upgrade version number;

[0012] Obtaining the feedback feature information and the feedback upgrade version number of the vehicle terminal based on the upgrade request information feedback by the vehicle terminal;

[0013] When the feedback feature information of the vehicle terminal matches the pre-stored vehicle terminal feature information of the vehicle terminal in the current version upgrade policy, and when the feedback upgrade version number of the vehicle terminal matches the current upgrade version number of the vehicle terminal in the current version upgrade policy, upgrading the vehicle terminal based on the current intelligent driving upgrade data in the current version upgrade policy.

[0014] Optionally, the upgrade notification message further includes upgrade trigger event information;

[0015] Correspondingly, obtaining the feedback feature information and the feedback upgrade version number of the vehicle terminal based on the upgrade request information feedback by the vehicle terminal includes:

[0016] Obtaining the feedback feature information and the feedback upgrade version number of the vehicle terminal based on the upgrade request information feedback by the vehicle terminal according to the upgrade trigger event information.

[0017] Optionally, the upgrade trigger event information includes online upgrade trigger event information and offline upgrade trigger event information.

[0018] Optionally, the intelligent driving upgrade data includes data processing parameter values and data transmission parameter values;

[0019] The data processing parameter values include: image pixel adjustment parameter values, video frame rate adjustment parameter values, video coding format parameter values, classification parameter values for data disk storage, and various data thresholds;

[0020] The data transmission parameter values include: automatic feedback parameter values or manual feedback parameter values, data packaging method parameter values, breakpoint resume parameter values, streaming upload parameter values, upload queue priority parameter values, and upload data volume thresholds.

[0021] Optionally, the cloud communicates with the vehicle terminal based on the Message Queuing Telemetry Transport Protocol.

[0022] Optionally, the feedback feature information includes the feedback vehicle model and the feedback vehicle identification number; the pre-stored vehicle terminal feature information includes the pre-stored vehicle model and the pre-stored vehicle identification number.

[0023] According to the specific embodiments of the present application, in a second aspect, the present application provides an intelligent driving upgrade device, which is applied to the cloud and includes:

[0024] An acquisition unit, configured to acquire the current upgrade version number of the vehicle end, the current intelligent driving upgrade data, and the pre-stored vehicle end feature information;

[0025] A generation unit, configured to generate the current version upgrade strategy of the vehicle end based on the current upgrade version number of the vehicle end, the intelligent driving upgrade data, and the pre-stored vehicle end feature information;

[0026] An upgrade unit, configured to upgrade the vehicle end based on the current version upgrade strategy of the vehicle end.

[0027] Optionally, upgrading the vehicle end based on the current version upgrade strategy of the vehicle end includes:

[0028] Sending an upgrade notification message to the vehicle end based on the current version upgrade strategy of the vehicle end, where the upgrade notification message includes the current upgrade version number;

[0029] Obtaining the feedback feature information and the feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end;

[0030] When the feedback feature information of the vehicle end matches the pre-stored vehicle end feature information in the current version upgrade strategy, and when the feedback upgrade version number of the vehicle end matches the current upgrade version number of the vehicle end in the current version upgrade strategy, upgrading the vehicle end based on the current intelligent driving upgrade data in the current version upgrade strategy.

[0031] Optionally, the upgrade notification message further includes upgrade trigger event information;

[0032] Correspondingly, obtaining the feedback feature information and the feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end includes:

[0033] Obtaining the feedback feature information and the feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end according to the upgrade trigger event information.

[0034] Optionally, the upgrade trigger event information includes online upgrade trigger event information and offline upgrade trigger event information.

[0035] Optionally, the intelligent driving upgrade data includes data processing parameter values and data transmission parameter values;

[0036] The data processing parameter values include: image pixel adjustment parameter values, video frame rate adjustment parameter values, video coding format parameter values, classification parameter values for data disk storage, and various data thresholds;

[0037] The data transmission parameter values include: automatic feedback parameter values or manual feedback parameter values, data packaging method parameter values, resume interrupted transfer parameter values, streaming upload parameter values, upload queue priority parameter values, and upload data volume thresholds.

[0038] Optionally, the cloud end communicates with the vehicle end based on the Message Queuing Telemetry Transport (MQTT) protocol.

[0039] Optionally, the feedback feature information includes the feedback vehicle model and the feedback vehicle identification number; the pre-stored vehicle end feature information includes the pre-stored vehicle model and the pre-stored vehicle identification number.

[0040] According to a specific embodiment of the present application, in a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the intelligent driving upgrade method described in any one of the above is implemented.

[0041] According to a specific embodiment of the present application, in a fourth aspect, the present application provides an electronic device, including: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent driving upgrade method described in any one of the above.

[0042] The above solution of the embodiment of the present application has at least the following beneficial effects compared with the prior art:

[0043] The present application provides an intelligent driving upgrade method, device, medium, and electronic device. The cloud end of the present application obtains the current upgrade version number, the current intelligent driving upgrade data, and the pre-stored vehicle end feature information of the vehicle end; generates the current version upgrade strategy of the vehicle end based on the current upgrade version number, the intelligent driving upgrade data, and the pre-stored vehicle end feature information of the vehicle end; and upgrades the vehicle end based on the current version upgrade strategy of the vehicle end.

[0044] Compared with the traditional Firmware Over-the-Air (FOTA) upgrade, the cloud end generates a version upgrade strategy through upgrade version management, enabling the online vehicle end to complete the upgrade process within seconds. For the offline vehicle end, it can immediately synchronize the latest upgrade after going online, greatly shortening the response time and improving the efficiency of intelligent driving algorithm iteration and after-sales problem handling.

[0045] The current version upgrade strategy formulated by the cloud end flexibly adjusts the data processing parameter values and data transmission parameter values to meet the requirements of intelligent driving algorithm optimization and refined after-sales problem handling, significantly improving the adaptability of the strategy and the flexibility of management. Description of the Drawings

[0046] Figure 1The flowchart of the intelligent driving upgrade method according to an embodiment of the present application is shown;

[0047] Figure 2 The unit block diagram of the intelligent driving upgrade device according to an embodiment of the present application is shown. Detailed implementation manners

[0048] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the scope of protection of the present application.

[0049] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. "Plurality" generally includes at least two.

[0050] It should be understood that the term "and / or" used herein is only an associative relationship describing associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0051] It should be understood that although terms such as first, second, and third may be used in the embodiments of the present application for description, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0052] Depending on the context, the words "if", "when" as used herein may be interpreted as "when...", "when...", "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined", "in response to determining", "when detecting (stated condition or event)", or "in response to detecting (stated condition or event)".

[0053] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a commodity or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the commodity or device comprising said element.

[0054] It should be particularly noted that symbols and / or numbers present in the specification that are not marked in the accompanying drawing description are not reference numerals.

[0055] The optional embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0056] For the embodiments provided by the present application, namely embodiments of an intelligent driving upgrade method, which are applied to the cloud.

[0057] The following will be combined with Figure 1 The embodiments of the present application will be described in detail.

[0058] Step S101, obtain the current upgrade version number, the current intelligent driving upgrade data, and the pre-stored vehicle terminal feature information of the vehicle terminal.

[0059] The cloud is configured to maintain and configure the upgrade version number, the intelligent driving upgrade data, and the vehicle terminal management data of the vehicle terminal.

[0060] In the intelligent driving system, the cloud is an essential component, which configures and maintains the processing and transmission strategies of all intelligent driving data and manages these strategies through the version number. The strategies can be set as global strategies applicable to a certain vehicle model or only applicable to some vehicles in a group, so as to achieve refined management.

[0061] The cloud groups the vehicles through the vehicle terminal management data. The vehicle terminal management data includes the pre-stored vehicle terminal feature information of the vehicle terminal.

[0062] In some specific embodiments, the pre-stored vehicle terminal feature information includes the pre-stored vehicle model and / or the pre-stored vehicle frame number.

[0063] The cloud can verify whether the feedback feature information in the upgrade request information of the vehicle terminal meets the upgrade conditions of the current upgrade version number through the pre-stored vehicle terminal feature information.

[0064] Step S102, generate the current version upgrade strategy of the vehicle terminal based on the current upgrade version number, the intelligent driving upgrade data, and the pre-stored vehicle terminal feature information of the vehicle terminal.

[0065] In the embodiment of the present application, the cloud generates the current version upgrade strategy for the vehicle end based on the current upgrade version number, the intelligent driving upgrade data, and the pre-stored vehicle end feature information of the vehicle end. The cloud can guide the vehicle end to upgrade through the current version upgrade strategy.

[0066] Step S103: Upgrade the vehicle end based on the current version upgrade strategy of the vehicle end.

[0067] In some specific embodiments, the upgrading the vehicle end based on the current version upgrade strategy of the vehicle end includes:

[0068] Step S103-1: Send an upgrade notification message to the vehicle end based on the current version upgrade strategy of the vehicle end.

[0069] In some specific embodiments, the cloud communicates with the vehicle end based on the Message Queuing Telemetry Transport protocol.

[0070] The Message Queuing Telemetry Transport protocol (English full name: Message Queuing Telemetry Transport, abbreviated as MQTT) is a message protocol based on the publish-subscribe paradigm. It works on top of the TCP / IP protocol and is a publish / subscribe type message protocol designed for remote devices with low hardware performance and poor network conditions. MQTT is lightweight, simple, open, and easy to implement. Due to the diverse usage environments of vehicles, MQTT can ensure good communication between the message processing unit and the vehicle end in a restricted environment, can respond to various intelligent driving messages in a timely manner, ensure the use of intelligent driving functions by the vehicle in a restricted environment, and thus improve the user experience of intelligent driving.

[0071] Among them, in the upgrade notification message in the current version upgrade strategy of the vehicle end, the current upgrade version number and upgrade trigger event information are included.

[0072] After receiving the upgrade notification message, the vehicle end compares the current upgrade version number with the version number being used. When the current upgrade version number is greater than the version number being used, upgrade request information is generated to request the cloud to upgrade. When the current upgrade version number is less than or equal to the version number being used, the upgrade is abandoned.

[0073] Step S103-2: Obtain the feedback feature information and feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end.

[0074] The upgrade request information fed back by the vehicle end includes the feedback feature information and feedback upgrade version number of the vehicle end. The feedback feature information of the vehicle end is used to compare with the pre-stored vehicle end feature information in the cloud to verify whether the vehicle end is suitable for the upgrade of the current upgrade version number.

[0075] In some specific embodiments, the feedback feature information includes the feedback vehicle model and the feedback vehicle identification number.

[0076] In some specific embodiments, obtaining the feedback feature information and the feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end includes:

[0077] Step S103-2a, obtaining the feedback feature information and the feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end according to the upgrade trigger event information.

[0078] In this specific embodiment, the vehicle end triggers the upgrade process of the vehicle end according to the upgrade trigger event information in the upgrade notification message.

[0079] In some specific embodiments, the upgrade trigger event information includes online upgrade trigger event information and offline upgrade trigger event information.

[0080] If the vehicle end is in an online state, the vehicle end generates upgrade request information based on the online upgrade trigger event and executes the upgrade process; if the vehicle end is in an offline state, after the vehicle end resumes the online state, it generates upgrade request information based on the offline upgrade trigger event and executes the upgrade process to ensure that the offline vehicle can be upgraded in time when it reconnects to the network.

[0081] Step S103-3, when the feedback feature information of the vehicle end matches the pre-stored vehicle end feature information of the vehicle end in the current version upgrade policy, and when the feedback upgrade version number of the vehicle end matches the current upgrade version number of the vehicle end in the current version upgrade policy, upgrade the vehicle end based on the current intelligent driving upgrade data in the current version upgrade policy.

[0082] In this specific embodiment, after verifying that the feedback feature information and the feedback upgrade version number of the vehicle end meet the upgrade requirements of the current upgrade version number, the cloud transmits the current intelligent driving upgrade data in the current version upgrade policy to the vehicle end, and the vehicle end uses the current intelligent driving upgrade data for the upgrade.

[0083] In some specific embodiments, the intelligent driving upgrade data includes data processing parameter values and data transmission parameter values;

[0084] The data processing parameter values include: image pixel adjustment parameter values, video frame rate adjustment parameter values, video coding format parameter values (such as, H.264, H.265 or LZ4), data disk classification parameter values and various data thresholds;

[0085] The data transmission parameter values ​​include: automatic return parameter value or manual return parameter value, data packaging method parameter value, breakpoint resume parameter value, streaming upload parameter value, upload queue priority parameter value and upload data volume threshold.

[0086] In the embodiment of the present application, the current upgrade version number of the vehicle side, the current intelligent driving upgrade data and the pre-stored vehicle side feature information are obtained in the cloud; the current version upgrade strategy of the vehicle side is generated based on the current upgrade version number of the vehicle side, the intelligent driving upgrade data and the pre-stored vehicle side feature information; and the vehicle side is upgraded based on the current version upgrade strategy of the vehicle side.

[0087] Compared with traditional FOTA firmware upgrades, the cloud generates version upgrade strategies through upgrade version management, allowing the online vehicle to complete the upgrade process in seconds. For offline vehicles, the latest upgrade can be synchronized immediately after going online, greatly shortening the response time and improving the efficiency of intelligent driving algorithm iteration and after-sales problem handling.

[0088] The current version upgrade strategy formulated in the cloud flexibly adjusts the data processing parameter values ​​and data transmission parameter values ​​to meet the needs of intelligent driving algorithm optimization and refined handling of after-sales issues, significantly improving the adaptability of the strategy and the flexibility of management.

[0089] The present application also provides a device embodiment that is based on the above embodiment, which is used to implement the method steps described in the above embodiment. The explanation based on the same name meaning is the same as the above embodiment, and has the same technical effect as the above embodiment, which will not be repeated here.

[0090] like Figure 2 As shown, the present application provides an intelligent driving upgrade device 200, which is applied to the cloud, including:

[0091] The acquisition unit 201 is used to acquire the current upgrade version number of the vehicle side, the current intelligent driving upgrade data and the pre-stored vehicle side feature information;

[0092] A generating unit 202, configured to generate a current version upgrade strategy of the vehicle side based on the current upgrade version number of the vehicle side, the intelligent driving upgrade data, and the pre-stored vehicle side feature information;

[0093] The upgrading unit 203 is used to upgrade the vehicle end based on the current version upgrading strategy of the vehicle end.

[0094] Optionally, the upgrading the vehicle end based on the current version upgrade strategy of the vehicle end includes:

[0095] Sending an upgrade notification message to the vehicle end based on the current version upgrade strategy of the vehicle end, wherein the upgrade notification message includes the current upgrade version number;

[0096] Obtain the feedback feature information and feedback upgrade version number of the vehicle terminal based on the upgrade request information fed back by the vehicle terminal;

[0097] When the feedback feature information of the vehicle terminal matches the pre-stored vehicle terminal feature information of the vehicle terminal in the current version upgrade policy, and when the feedback upgrade version number of the vehicle terminal matches the current upgrade version number of the vehicle terminal in the current version upgrade policy, upgrade the vehicle terminal based on the current intelligent driving upgrade data in the current version upgrade policy.

[0098] Optionally, the upgrade notification message further includes upgrade trigger event information;

[0099] Correspondingly, the obtaining the feedback feature information and feedback upgrade version number of the vehicle terminal based on the upgrade request information fed back by the vehicle terminal includes:

[0100] Obtain the feedback feature information and feedback upgrade version number of the vehicle terminal based on the upgrade request information fed back by the vehicle terminal according to the upgrade trigger event information.

[0101] Optionally, the upgrade trigger event information includes online upgrade trigger event information and offline upgrade trigger event information.

[0102] Optionally, the intelligent driving upgrade data includes data processing parameter values and data transmission parameter values;

[0103] The data processing parameter values include: image pixel adjustment parameter values, video frame rate adjustment parameter values, video coding format parameter values, classification parameter values for data disk storage, and various data thresholds;

[0104] The data transmission parameter values include: automatic feedback parameter values or manual feedback parameter values, data packaging method parameter values, breakpoint resumption parameter values, streaming upload parameter values, upload queue priority parameter values, and upload data volume thresholds.

[0105] Optionally, the cloud communicates with the vehicle terminal based on the Message Queuing Telemetry Transport (MQTT) protocol.

[0106] Optionally, the feedback feature information includes the feedback vehicle model and feedback vehicle identification number; the pre-stored vehicle terminal feature information includes the pre-stored vehicle model and pre-stored vehicle identification number.

[0107] In the embodiment of the present application, the cloud obtains the current upgrade version number, current intelligent driving upgrade data, and pre-stored vehicle terminal feature information of the vehicle terminal; generates the current version upgrade policy of the vehicle terminal based on the current upgrade version number, the intelligent driving upgrade data, and the pre-stored vehicle terminal feature information of the vehicle terminal; and upgrades the vehicle terminal based on the current version upgrade policy of the vehicle terminal.

[0108] Compared with traditional FOTA firmware upgrades, the cloud generates version upgrade strategies through upgrade version management, enabling online vehicle terminals to complete the upgrade process within seconds. For offline vehicle terminals, they can immediately synchronize the latest upgrade after going online, greatly shortening the response time and improving the efficiency of intelligent driving algorithm iteration and after-sales issue handling.

[0109] The current version upgrade strategy formulated by the cloud flexibly adjusts the data processing parameter values and data transmission parameter values to meet the needs of intelligent driving algorithm optimization and refined after-sales issue handling, significantly enhancing the adaptability of the strategy and the flexibility of management.

[0110] Embodiment 3

[0111] This embodiment provides an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method steps as described in the above embodiments.

[0112] Embodiment 4

[0113] An embodiment of the present application provides a non-volatile computer storage medium, which stores computer-executable instructions that can execute the method steps as described in the above embodiments.

[0114] Finally, it should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the systems or devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0115] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present application.

Claims

1. An intelligent driving upgrade method, applied to the cloud, characterized in that: include: Obtain the current upgrade version number of the vehicle, current intelligent driving upgrade data, and pre-stored vehicle feature information; Generate a current version upgrade strategy of the vehicle side based on the current upgrade version number of the vehicle side, the intelligent driving upgrade data, and the pre-stored vehicle side feature information; The vehicle side is upgraded based on the current version upgrade strategy of the vehicle side.

2. The method according to claim 1, characterized in that: The upgrading of the vehicle end based on the current version upgrade strategy of the vehicle end includes: Sending an upgrade notification message to the vehicle end based on the current version upgrade strategy of the vehicle end, wherein the upgrade notification message includes the current upgrade version number; Obtaining feedback feature information and feedback upgrade version number of the vehicle end based on the upgrade request information fed back by the vehicle end; When the feedback feature information of the vehicle side matches the pre-stored vehicle side feature information of the vehicle side in the current version upgrade strategy, and when the feedback upgrade version number of the vehicle side matches the current upgrade version number of the vehicle side in the current version upgrade strategy, the vehicle side is upgraded based on the current intelligent driving upgrade data in the current version upgrade strategy.

3. The method according to claim 2, characterized in that The upgrade notification message also includes upgrade trigger event information; Accordingly, the obtaining of the feedback feature information and feedback upgrade version number of the vehicle side based on the upgrade request information fed back by the vehicle side includes: Based on the upgrade request information fed back by the vehicle side according to the upgrade triggering event information, the feedback feature information and the feedback upgrade version number of the vehicle side are obtained.

4. The method according to claim 3, characterized in that The upgrade trigger event information includes online upgrade trigger event information and offline upgrade trigger event information.

5. The method according to claim 1, characterized in that The intelligent driving upgrade data includes data processing parameter values ​​and data transmission parameter values; The data processing parameter values ​​include: image pixel adjustment parameter values, video frame rate adjustment parameter values, video encoding format parameter values, data disk classification parameter values ​​and various data thresholds; The data transmission parameter values ​​include: automatic return parameter value or manual return parameter value, data packaging method parameter value, breakpoint resume parameter value, streaming upload parameter value, upload queue priority parameter value and upload data volume threshold.

6. The method according to claim 1, characterized in that The cloud end and the vehicle end communicate based on a message queue telemetry transmission protocol.

7. The method according to claim 2, characterized in that The feedback characteristic information includes the feedback vehicle model and the feedback vehicle frame number; the pre-stored vehicle-side characteristic information includes the pre-stored vehicle model and the pre-stored vehicle frame number.

8. An intelligent driving upgrade device, applied to the cloud, characterized in that: include: An acquisition unit, used to acquire the current upgrade version number of the vehicle side, the current intelligent driving upgrade data and the pre-stored vehicle side feature information; A generating unit, configured to generate a current version upgrade strategy of the vehicle side based on the current upgrade version number of the vehicle side, the intelligent driving upgrade data, and the pre-stored vehicle side feature information; An upgrading unit is used to upgrade the vehicle end based on the current version upgrading strategy of the vehicle end.

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

10. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 7.

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