A vehicle off-road mode adjustment method and system

Abstract

The application provides a vehicle off-road mode adjusting method and system, the method comprising: collecting driving images in front of the vehicle in real time through a preset acquisition device, and performing real-time analysis processing on the driving images to detect road condition information corresponding to the vehicle in real time; detecting a target road condition corresponding to driving of the vehicle based on a preset rule according to the road condition information in real time, and generating a corresponding target mode control instruction according to the target road condition in real time; adjusting a target off-road mode in the vehicle according to the target mode control instruction, and controlling an acceleration mode and an energy recovery mode of the vehicle according to the target off-road mode in real time to complete mode adjustment of the vehicle. The application can objectively and accurately monitor the memory of an embedded product, and improves work efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automotive technology, in particular to a vehicle off-road mode adjustment method and system. BACKGROUND

[0002] With the progress of science and technology and the rapid development of productivity, the production technology of automobiles has become mature, and has been popularized in people's daily life, greatly facilitating people's life.

[0003] Among them, people have developed many different models to meet the needs of different users, specifically, off-road vehicles are one of the favorite models of people, and have also developed rapidly.

[0004] Further, the existing off-road vehicles will be pre-set with different off-road modes before leaving the factory to meet different road conditions, however, in the actual driving process of users, most of the existing off-road vehicles need users to manually select different off-road modes to cope with different off-road scenes, in this process, a variety of off-road scenes may appear, thus users need to repeatedly adjust the off-road mode, which brings inconvenience to people, and there is a certain safety hazard, which reduces the user experience. SUMMARY

[0005] Therefore, the purpose of the present application is to provide a vehicle off-road mode adjustment method and system to solve the problem that most of the prior art needs users to manually select different off-road modes to cope with different off-road scenes, which requires users to repeatedly adjust the off-road mode, and reduces the user experience.

[0006] The first aspect of the embodiment of the present application is proposed:

[0007] A vehicle off-road mode adjustment method, wherein the method comprises:

[0008] The driving image in front of the vehicle is collected in real time by a preset acquisition device, and the driving image is analyzed in real time to detect the road condition information corresponding to the vehicle in real time;

[0009] The target road condition corresponding to the driving of the vehicle is detected in real time based on a preset rule according to the road condition information, and a target mode control instruction is generated in real time according to the target road condition;

[0010] The target off-road mode in the vehicle is adjusted according to the target mode control instruction, and the acceleration mode and the energy recovery mode of the vehicle are controlled in real time according to the target off-road mode, so as to complete the mode adjustment of the vehicle.

[0011] The beneficial effects of the present application are: by collecting the driving image in front of the vehicle in real time, the driving information of the current vehicle can be correspondingly obtained, based on which, only corresponding analysis processing is needed to correspondingly obtain the road condition information of the current vehicle, based on which, the target mode control instruction adapted to the current vehicle can be generated in real time according to the target road condition obtained in real time, based on which, finally the target off-road mode adapted to the current vehicle can be automatically and accurately called out through the target mode control instruction, so that the process of manual operation by human beings can be saved, and the use experience of the user is improved.

[0012] Further, the step of correspondingly detecting the target road condition of the vehicle based on the road condition information in real time according to the preset rule comprises:

[0013] When the road condition information is obtained in real time, the road condition information is analyzed in real time to correspondingly detect the target driving road corresponding to the vehicle;

[0014] The target map information and the target positioning information corresponding to the vehicle are determined in real time according to the target driving road, and the target road condition corresponding to the vehicle is correspondingly determined in real time according to the target map information and the target positioning information.

[0015] Further, the step of correspondingly detecting the target road condition of the vehicle based on the road condition information in real time according to the preset rule comprises:

[0016] When the target map information and the target positioning information are obtained in real time, the target location corresponding to the vehicle is determined in real time according to the target map information and the target positioning information;

[0017] When the target location is obtained in real time, the target weather information corresponding to the target location is determined in real time;

[0018] The target road condition is correspondingly generated according to the target weather information.

[0019] Further, the step of correspondingly generating the target mode control instruction in real time according to the target road condition comprises:

[0020] When the target weather information is obtained in real time, the real-time weather information corresponding to the vehicle is determined in real time according to the target driving road;

[0021] When the real-time weather information is obtained in real time, it is judged in real time whether the real-time weather information is consistent with the target weather information;

[0022] If it is judged in real time that the real-time weather information is consistent with the target weather information, a weather type corresponding to the target weather information is detected in real time, and the target road condition is determined in real time according to the weather type.

[0023] Further, the step of generating the target mode control instruction in real time according to the target road condition comprises:

[0024] When the target road condition is acquired in real time, a target character corresponding to the target road condition is determined in real time;

[0025] When the target character is acquired in real time, the target character is converted into a corresponding target code in real time through a preset algorithm;

[0026] When the target code is acquired in real time, the target code is processed by instruction to correspondingly generate the target mode control instruction.

[0027] Further, the step of generating the target mode control instruction in real time according to the target road condition comprises:

[0028] When the target code is acquired in real time, an instruction generation model matched with the target code is called in real time in a preset database;

[0029] The target code is input into the inside of the instruction generation model to correspondingly output the target model control instruction.

[0030] Further, the step of inputting the target code into the inside of the instruction generation model to correspondingly output the target model control instruction comprises:

[0031] When the target code is acquired in real time, a plurality of code values contained in the inside of the target code are detected in real time, a plurality of model nodes contained in the inside of the instruction generation model are detected in real time, and a plurality of the code values are input into the inside of a plurality of the model nodes to correspondingly output the target model control instruction.

[0032] The second aspect of the embodiment of the application provides:

[0033] A vehicle off-road mode adjustment system, wherein the system comprises:

[0034] A collection module is configured to collect driving images in front of a vehicle in real time through a preset collection device, and perform real-time analysis and processing on the driving images to detect road condition information corresponding to the vehicle in real time.

[0035] The detection module is configured to detect a target road condition corresponding to the driving of the vehicle in real time based on a preset rule according to the road condition information, and generate a target mode control instruction in real time according to the target road condition.

[0036] The control module is configured to call out a target off-road mode in the vehicle according to the target mode control instruction, and control an acceleration mode and an energy recovery mode of the vehicle in real time according to the target off-road mode, so as to complete the mode adjustment of the vehicle.

[0037] Further, the control module is specifically configured to:

[0038] When the road condition information is acquired in real time, the road condition information is analyzed in real time to detect a target driving road corresponding to the vehicle;

[0039] The target map information and the target positioning information corresponding to the vehicle are determined in real time according to the target driving road, and the target road condition corresponding to the vehicle is determined in real time according to the target map information and the target positioning information.

[0040] Further, the control module is specifically configured to:

[0041] When the target map information and the target positioning information are acquired in real time, the target location corresponding to the vehicle is determined in real time according to the target map information and the target positioning information.

[0042] When the target location is acquired in real time, the target weather information is determined in real time according to the target location.

[0043] The target road condition is generated according to the target weather information.

[0044] Further, the control module is specifically configured to:

[0045] When the target weather information is acquired in real time, the real-time weather information corresponding to the vehicle is determined in real time according to the target driving road.

[0046] When the real-time weather information is acquired in real time, it is judged in real time whether the real-time weather information is consistent with the target weather information.

[0047] If it is judged in real time that the real-time weather information is consistent with the target weather information, the weather type corresponding to the target weather information is detected in real time, and the target road condition is determined in real time according to the weather type.

[0048] Further, the control module is specifically configured to:

[0049] When the target road condition is acquired in real time, a target character corresponding to the target road condition is determined in real time;

[0050] When the target character is acquired in real time, the target character is converted into a corresponding target code in real time through a preset algorithm;

[0051] When the target code is acquired in real time, the target code is processed by instruction to correspondingly generate the target mode control instruction.

[0052] Further, the control module is specifically used for:

[0053] When the target code is acquired in real time, an instruction generation model adapted to the target code is called out in real time in a preset database;

[0054] The target code is input into the inside of the instruction generation model to correspondingly output the target mode control instruction.

[0055] Further, the control module is specifically used for:

[0056] When the target code is acquired in real time, a plurality of code values contained in the inside of the target code are detected in real time, a plurality of model nodes contained in the inside of the instruction generation model are detected in real time, and the plurality of code values are input into the inside of the plurality of model nodes to correspondingly output the target mode control instruction.

[0057] The third aspect of the embodiment of the application provides:

[0058] A computer comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the vehicle off-road mode adjustment method as described above when executing the computer program.

[0059] The fourth aspect of the embodiment of the application provides:

[0060] A readable storage medium has a computer program stored thereon, wherein the program is executed by a processor to implement the vehicle off-road mode adjustment method as described above.

[0061] Additional aspects and advantages of the application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 A flowchart of the vehicle off-road mode adjustment method provided by the first embodiment of the application;

[0063] Figure 2A structural block diagram of a vehicle off-road mode adjustment system provided by a third embodiment of the present application is shown.

[0064] The following detailed description will further describe the present application in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0065] For the purpose of facilitating the understanding of the present application, the present application will be described in more detail below with reference to the relevant drawings. The drawings show several embodiments of the present application. However, the present application can be realized in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0066] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can be a middle element. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or there can be a middle element. The terms "vertical", "horizontal", "left", "right", and similar expressions used herein are for illustrative purposes only.

[0067] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terminology used in the description of the present application herein only for the purpose of describing specific embodiments and is not intended to limit the present application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0068] Referring to Figure 1 , a vehicle off-road mode adjustment method provided by a first embodiment of the present application is shown. The vehicle off-road mode adjustment method provided by the present embodiment can automatically and accurately complete the adjustment of the off-road mode of the vehicle, thereby corresponding to save the process of manual operation and corresponding to improve the user experience.

[0069] Specifically, the present embodiment provides:

[0070] A vehicle off-road mode adjustment method, specifically comprising the following steps:

[0071] Step S10, real-time acquisition of driving images in front of the vehicle through a preset acquisition device, and real-time analysis and processing of the driving images to real-time detect road condition information corresponding to the vehicle;

[0072] Step S20, real-time detection of a target road condition corresponding to the driving of the vehicle based on a preset rule according to the road condition information, and real-time generation of a corresponding target mode control instruction according to the target road condition;

[0073] Step S30, according to the target mode control instruction corresponding to call out the target off-road mode of the vehicle interior, and real-time according to the target off-road mode corresponding control the acceleration mode and energy recovery mode of the vehicle, to complete the mode adjustment of the vehicle.

[0074] Second embodiment

[0075] Further, the step of detecting the target road condition corresponding to the vehicle according to the real-time road condition information based on the preset rule comprises:

[0076] When the real-time road condition information is obtained, the real-time road condition information is analyzed in real time to detect the target driving road corresponding to the vehicle;

[0077] According to the target driving road, the target map information and the target positioning information corresponding to the vehicle are determined in real time, and the target road condition corresponding to the vehicle is determined in real time according to the target map information and the target positioning information.

[0078] Further, the step of determining the target road condition corresponding to the vehicle according to the target map information and the target positioning information in real time comprises:

[0079] When the target map information and the target positioning information are obtained in real time, the target location corresponding to the vehicle is determined in real time according to the target map information and the target positioning information.

[0080] When the target location is obtained in real time, the target weather information corresponding to the target location is determined in real time.

[0081] According to the target weather information, the target road condition is generated.

[0082] Further, the step of generating the target mode control instruction corresponding to the target road condition in real time comprises:

[0083] When the target weather information is obtained in real time, the real-time weather information corresponding to the vehicle is determined in real time according to the target driving road.

[0084] When the real-time weather information is obtained in real time, it is judged in real time whether the real-time weather information is consistent with the target weather information.

[0085] If it is judged in real time that the real-time weather information is consistent with the target weather information, the weather type corresponding to the target weather information is detected in real time, and the target road condition is determined in real time according to the weather type.

[0086] Further, the step of generating the target mode control instruction corresponding to the target road condition in real time comprises:

[0087] When the target road condition is acquired in real time, a target character corresponding to the target road condition is determined in real time;

[0088] When the target character is acquired in real time, the target character is converted into a target code corresponding to the target character in real time through a preset algorithm;

[0089] When the target code is acquired in real time, the target code is processed to generate the target mode control instruction corresponding thereto.

[0090] Further, the step of generating the target mode control instruction corresponding to the target road condition in real time comprises:

[0091] When the target code is acquired in real time, an instruction generation model adapted to the target code is called in real time in a preset database;

[0092] The target code is input into the instruction generation model to output the target mode control instruction.

[0093] Further, the step of generating the target mode control instruction corresponding to the target road condition in real time comprises:

[0094] When the target code is acquired in real time, a plurality of code values contained in the target code are detected in real time, a plurality of model nodes contained in the instruction generation model are detected in real time, and the plurality of code values are input into the plurality of model nodes to output the target mode control instruction.

[0095] In addition, in the embodiment, it should be further pointed out that the vehicle off-road mode adjustment method provided by the application is implemented by a series of hardware, specifically including the following contents:

[0096] Camera, automatic driving domain controller ADCU, central computing unit CCU, brake controller IPB, off-road mode switch knob switch ATS SW, P-Box, V-Box, atmosphere lamp AL, intelligent cockpit domain controller CDC;

[0097] The all-terrain mode switching knob switch ATS SW is used for switching to the automatic all-terrain mode; the camera Camera is used for shooting and recognizing the surrounding environment of the vehicle, the P-Box is used for providing high-precision positioning information, and the V-Box is used for providing an online channel to obtain weather information; the automatic driving domain controller ADCU selects the best terrain all-terrain mode (snow, sand, mud, grass) according to the current road conditions (surrounding environment, high-precision positioning, weather, etc.) of the vehicle to the central computing unit CCU; the central computing unit CCU receives the mode request of the automatic driving domain controller ADCU, manages and publishes the terrain all-terrain mode of the whole vehicle, and adjusts the performance parameters of acceleration and energy recovery of the whole vehicle; the brake controller IPB adjusts the anti-skid performance parameters according to different terrain all-terrain modes; and the intelligent cockpit domain controller CDC receives the driving mode signal to switch the UI display style;

[0098] The automatic driving camera arranged in front of the vehicle is used for shooting and recognizing the driving road conditions in front of the vehicle, and image information is sent to the automatic driving domain controller ADCU; the P-Box sends high-precision satellite positioning signals to the automatic driving domain controller ADCU; the V-Box sends weather information to the automatic driving domain controller ADCU through a 5G module online; after the automatic driving domain controller ADCU receives the front road condition information image shot by the front-view camera, the road conditions (snow or mud or sand or grass) of the vehicle at this time are comprehensively judged in combination with high-precision map information, high-precision positioning information and local weather information, and the road condition information is sent to the central computing unit CCU through Ethernet; when the all-terrain mode switching knob switch ATS SW is switched to the automatic all-terrain mode, the central computing unit CCU receives the road condition (snow or mud or sand or grass) information sent by the ADCU, judges and automatically adjusts the all-terrain mode (snow mode or mud mode or sand mode or grass mode) corresponding to the road condition; the central computing unit CCU adjusts the acceleration mode and the energy recovery mode according to the all-terrain mode corresponding to the road condition at this time, and controls the color of the atmosphere lamp AL through the LIN signal to correspond to different all-terrain modes; the central computing unit CCU sends the all-terrain mode to the brake controller IPB through the CAN signal, and the brake controller IPB adjusts the ESP mode according to the all-terrain mode at this time; the central computing unit CCU sends the all-terrain mode to the intelligent cockpit domain controller CDC through the CAN signal, and the intelligent cockpit domain controller CDC synchronously switches different all-terrain mode styles on the central control screen and the combination instrument.

[0099] Please refer to Figure 2 The third embodiment of the present application provides:

[0100] A vehicle all-terrain mode adjustment system, wherein the system comprises:

[0101] The acquisition module is configured to acquire a driving image in front of the vehicle in real time through a preset acquisition device, and perform real-time analysis on the driving image to detect road condition information corresponding to the vehicle in real time.

[0102] The detection module is configured to detect a target road condition corresponding to driving of the vehicle based on a preset rule according to the road condition information in real time, and generate a corresponding target mode control instruction based on the target road condition in real time.

[0103] The control module is configured to call a target off-road mode in the vehicle according to the target mode control instruction, and control an acceleration mode and an energy recovery mode of the vehicle according to the target off-road mode in real time, so as to complete mode adjustment of the vehicle.

[0104] Further, the control module is specifically configured to:

[0105] When the road condition information is acquired in real time, the road condition information is analyzed in real time to detect a target driving road corresponding to the vehicle.

[0106] The target map information and the target positioning information corresponding to the vehicle are determined based on the target driving road in real time, and the target road condition corresponding to the vehicle is determined based on the target map information and the target positioning information in real time.

[0107] Further, the control module is specifically configured to:

[0108] When the target map information and the target positioning information are acquired in real time, a target location corresponding to the vehicle is determined based on the target map information and the target positioning information in real time.

[0109] When the target location is acquired in real time, target weather information corresponding to the target location is determined in real time.

[0110] The target road condition is generated based on the target weather information.

[0111] Further, the control module is specifically configured to:

[0112] When the target weather information is acquired in real time, real-time weather information corresponding to the vehicle is determined based on the target driving road in real time.

[0113] When the real-time weather information is acquired in real time, it is determined whether the real-time weather information is consistent with the target weather information.

[0114] If it is judged in real time that the real-time weather information is consistent with the target weather information, a weather type corresponding to the target weather information is detected in real time, and the target road condition is determined in real time according to the weather type.

[0115] Further, the control module is specifically used for:

[0116] When the target road condition is acquired in real time, a target character corresponding to the target road condition is determined in real time;

[0117] When the target character is acquired in real time, the target character is converted into a corresponding target code in real time through a preset algorithm;

[0118] When the target code is acquired in real time, the target code is processed in real time to generate the target mode control instruction.

[0119] Further, the control module is specifically used for:

[0120] When the target code is acquired in real time, an instruction generation model adapted to the target code is called in real time in a preset database;

[0121] The target code is input into the instruction generation model to output the target mode control instruction.

[0122] Further, the control module is specifically used for:

[0123] When the target code is acquired in real time, a plurality of code values contained in the target code are detected in real time, a plurality of model nodes contained in the instruction generation model are detected in real time, and the plurality of code values are input into the plurality of model nodes to output the target mode control instruction.

[0124] The fourth embodiment of the application provides a computer, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the vehicle off-road mode adjustment method as described above when executing the computer program.

[0125] The fifth embodiment of the application provides a readable storage medium, which stores a computer program, wherein the program is executed by a processor to implement the vehicle off-road mode adjustment method as described above.

[0126] In summary, the vehicle off-road mode adjustment method and system provided by the above embodiments of the application can automatically and accurately complete the adjustment of the vehicle off-road mode, thereby corresponding to save the process of manual operation and corresponding to improve the user experience.

[0127] It should be noted that the above-mentioned various modules can be functional modules or program modules, which can be implemented by software or hardware. For the modules implemented by hardware, the above-mentioned various modules can be located in the same processor; or the above-mentioned various modules can also be located in different processors in any combination.

[0128] The logic and / or steps represented in the flowcharts, or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor- based system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device, and execute the instructions, or in conjunction with which the instructions can be executed. For the purposes of this specification, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

[0129] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium can even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, by optically scanning the paper or other suitable medium, then electronically converted into a form that is suitable for use in a computer storage medium.

[0130] It should be understood that parts of the present application can be realized by hardware, software, firmware or a combination thereof. In the above-described embodiments, a plurality of steps or methods can be realized by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if realized by hardware, and as in another embodiment, any one or a combination of the following technologies known in the art can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0131] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0132] The above-described embodiments only express several implementation manners of the present application, which are described in a more specific and detailed manner, but cannot be understood as a limitation on the scope of the present application. It should be noted that, for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, which are all within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for adjusting a vehicle's off-road mode, characterized in that, The method includes: The system uses a preset acquisition device to acquire driving images in front of the vehicle in real time, and performs real-time analysis and processing on the driving images to detect road condition information corresponding to the vehicle in real time. Based on preset rules, the target road conditions corresponding to the vehicle's driving are detected in real time according to the road condition information, and corresponding target mode control commands are generated in real time according to the target road conditions. The target off-road mode inside the vehicle is called up according to the target mode control command, and the acceleration mode and energy recovery mode of the vehicle are controlled in real time according to the target off-road mode to complete the mode adjustment of the vehicle. The step of detecting the target road conditions corresponding to the vehicle's travel based on preset rules and the road condition information in real time includes: When the road condition information is acquired in real time, the road condition information is analyzed and processed in real time to detect the target driving road corresponding to the vehicle. Based on the target driving route, the target map information and target location information corresponding to the vehicle are determined in real time, and the target road conditions corresponding to the vehicle are determined in real time based on the target map information and target location information.

2. The method for adjusting the off-road mode of a vehicle according to claim 1, characterized in that: The step of determining the target road conditions corresponding to the vehicle in real time based on the target map information and the target location information includes: When the target map information and the target location information are acquired in real time, the target location corresponding to the vehicle is determined in real time based on the target map information and the target location information. When the target location is acquired in real time, the corresponding target weather information is determined in real time based on the target location; The target road conditions are generated based on the target weather information.

3. The method for adjusting the off-road mode of a vehicle according to claim 2, characterized in that: The step of generating the target road conditions based on the target weather information includes: When the target weather information is acquired in real time, the real-time weather information corresponding to the vehicle is determined in real time based on the target driving route; When the real-time weather information is obtained, it is determined in real time whether the real-time weather information is consistent with the target weather information; If it is determined in real time that the real-time weather information is consistent with the target weather information, the weather type corresponding to the target weather information is detected in real time, and the target road condition is determined in real time according to the weather type.

4. The method for adjusting the off-road mode of a vehicle according to claim 1, characterized in that: The step of generating corresponding target mode control commands in real time based on the target road conditions includes: When the target road condition is acquired in real time, the target character corresponding to the target road condition is determined in real time. When the target character is acquired in real time, it is converted into the corresponding target code in real time using a preset algorithm; When the target code is acquired in real time, the target code is processed into instructions to generate the target mode control instructions accordingly.

5. The vehicle off-road mode adjustment method according to claim 4, characterized in that: The step of performing instruction-based processing on the target code to generate the target mode control instructions includes: When the target code is obtained in real time, an instruction generation model that matches the target code is retrieved from a preset database in real time. The target code is input into the instruction generation model to output the target model control instructions.

6. The method for adjusting the off-road mode of a vehicle according to claim 5, characterized in that: The step of inputting the target code into the instruction generation model to output the target model control instructions includes: When the target code is acquired in real time, the corresponding code values ​​contained within the target code are detected in real time, and the corresponding model nodes contained within the instruction generation model are detected in real time. The corresponding code values ​​are then input into the internal parts of the corresponding model nodes to output the target model control instruction.

7. A vehicle off-road mode adjustment system, characterized in that, For implementing the vehicle off-road mode adjustment method as described in any one of claims 1 to 6, the system comprises: The acquisition module is used to acquire driving images in front of the vehicle in real time through a preset acquisition device, and to analyze and process the driving images in real time to detect the road condition information corresponding to the vehicle in real time. The detection module is used to detect the target road conditions corresponding to the vehicle's driving in real time based on the road condition information according to preset rules, and to generate corresponding target mode control commands in real time according to the target road conditions. The control module is used to call up the target off-road mode inside the vehicle according to the target mode control command, and control the acceleration mode and energy recovery mode of the vehicle in real time according to the target off-road mode to complete the mode adjustment of the vehicle.

8. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the vehicle off-road mode adjustment method as described in any one of claims 1 to 6.

9. A readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the vehicle off-road mode adjustment method as described in any one of claims 1 to 6.

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