Vehicle off-road mode adjusting method and system

Abstract

The invention provides a vehicle off-road mode adjusting method and system, and the method comprises the steps: collecting a driving image in front of a vehicle in real time through a preset collection device, and carrying out the real-time analysis processing of the driving image, so as to detect the road condition information corresponding to the vehicle in real time; correspondingly detecting a target road condition corresponding to the running of the vehicle in real time according to the road condition information based on a preset rule, and generating a corresponding target mode control instruction in real time according to the target road condition; and correspondingly calling out a target off-road mode in the vehicle according to the target mode control instruction, and correspondingly controlling an acceleration mode and an energy recovery mode of the vehicle according to the target off-road mode in real time so as to correspondingly complete mode adjustment of the vehicle. According to the invention, the memory of the embedded product can be objectively and accurately monitored, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a vehicle off-road mode adjustment method and system. Background Art

[0002] With the advancement of science and technology and the rapid development of productivity, automobile production technology has become increasingly mature and has been popularized in people's daily lives, greatly facilitating people's lives.

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

[0004] Furthermore, existing off-road vehicles are pre-set with a variety of off-road modes before leaving the factory to meet different types of road conditions. However, during the actual driving process of users, most of the existing off-road vehicles require users to manually select different off-road modes to cope with different off-road scenes. In this process, multiple off-road scenes may appear interspersed, requiring users to repeatedly adjust the off-road mode, which brings instability to people and poses certain safety hazards, which correspondingly reduces the user experience. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a vehicle off-road mode adjustment method and system to solve the problem that most of the existing technologies require users to manually select different off-road modes to cope with different off-road scenarios, resulting in the need for users to repeatedly adjust the off-road mode, which correspondingly reduces the user experience.

[0006] The first aspect of the embodiment of the present invention proposes:

[0007] A method for adjusting an off-road mode of a vehicle, wherein the method comprises:

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

[0009] Based on preset rules, the target road condition corresponding to the vehicle is detected in real time according to the road condition information, and the corresponding 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 called out according to the target mode control instruction, 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 accordingly.

[0011] The beneficial effect of the present invention is that by collecting the driving image in front of the vehicle in real time, the driving information of the current vehicle can be obtained accordingly. Based on this, only corresponding analysis processing is needed to obtain the road condition information of the current vehicle. Based on this, a target mode control instruction adapted to the current vehicle can be generated in real time according to the currently acquired target road condition. Based on this, the target off-road mode adapted to the current vehicle can be automatically and accurately called out through the target mode control instruction, thereby eliminating the manual operation process and correspondingly improving the user experience.

[0012] Furthermore, the step of detecting the target road condition corresponding to the vehicle in real time according to the road condition information based on a preset rule includes:

[0013] When the road condition information is acquired in real time, the road condition information is analyzed and processed in real time to detect a 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 determined in real time according to the target map information and the target positioning information.

[0015] Furthermore, the step of determining the target road condition corresponding to the vehicle in real time according to the target map information and the target positioning information includes:

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

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

[0019] Furthermore, the step of generating a corresponding target mode control instruction in real time according to the target road condition includes:

[0020] 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;

[0021] When the real-time weather information is acquired in real time, determining in real time whether the real-time weather information is consistent with the target weather information;

[0022] 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.

[0023] Furthermore, the step of generating a corresponding target mode control instruction in real time according to the target road condition includes:

[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 by a preset algorithm;

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

[0027] Furthermore, the step of generating a corresponding target mode control instruction in real time according to the target road condition includes:

[0028] When the target code is acquired in real time, an instruction generation model adapted to the target code is called out in real time from a preset database;

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

[0030] Furthermore, the step of inputting the target code into the instruction generation model to output the target model control instruction includes:

[0031] When the target code is acquired in real time, several code values ​​correspondingly contained in the target code are detected in real time, and several model nodes correspondingly contained in the instruction generation model are detected in real time, and several code values ​​are correspondingly input into the interior of several model nodes to output the target model control instructions accordingly.

[0032] The second aspect of the embodiment of the present invention proposes:

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

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

[0035] A detection module, configured to detect the target road condition for the vehicle to travel in real time according to the road condition information based on a preset rule, and generate a corresponding target mode control instruction in real time according to the target road condition;

[0036] The control module is used to call out the target off-road mode inside the vehicle according to the target mode control instruction, and control the acceleration mode and energy recovery mode of the vehicle according to the target off-road mode in real time to complete the mode adjustment of the vehicle accordingly.

[0037] Furthermore, the control module is specifically used for:

[0038] When the road condition information is acquired in real time, the road condition information is analyzed and processed 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] Furthermore, the control module is specifically used for:

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

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

[0044] Furthermore, the control module is specifically used for:

[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, determining in real time whether the real-time weather information is consistent with the target weather information;

[0047] 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.

[0048] Furthermore, the control module is specifically used for:

[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 by a preset algorithm;

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

[0052] Furthermore, 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 from a preset database;

[0054] The target code is input into the instruction generation model accordingly to output the target model control instruction accordingly.

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

[0056] When the target code is acquired in real time, several code values ​​correspondingly contained in the target code are detected in real time, and several model nodes correspondingly contained in the instruction generation model are detected in real time, and several code values ​​are correspondingly input into the interior of several model nodes to output the target model control instructions accordingly.

[0057] The third aspect of the embodiment of the present invention proposes:

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

[0059] The fourth aspect of the embodiments of the present invention proposes:

[0060] A readable storage medium stores a computer program, wherein when the program is executed by a processor, the vehicle off-road mode adjustment method as described above is implemented.

[0061] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A flow chart of a vehicle off-road mode adjustment method provided by a first embodiment of the present invention;

[0063] Figure 2This is a structural block diagram of a vehicle off-road mode adjustment system provided in the third embodiment of the present invention.

[0064] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0065] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented 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 invention more thorough and comprehensive.

[0066] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. 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 those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0068] See also Figure 1 , shown is a vehicle off-road mode adjustment method provided by the first embodiment of the present invention. The vehicle off-road mode adjustment method provided by this embodiment can automatically and accurately complete the adjustment of the vehicle off-road mode, thereby eliminating the need for manual operation and improving the user experience.

[0069] Specifically, this embodiment provides:

[0070] A method for adjusting an off-road mode of a vehicle comprises the following steps:

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

[0072] Step S20, detecting the target road condition for the vehicle to travel in real time according to the road condition information based on a preset rule, and generating a corresponding target mode control instruction in real time according to the target road condition;

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

[0074] Second embodiment

[0075] Furthermore, the step of detecting the target road condition corresponding to the vehicle in real time according to the road condition information based on a preset rule includes:

[0076] When the road condition information is acquired in real time, the road condition information is analyzed and processed in real time to detect a target driving road corresponding to the vehicle;

[0077] 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.

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

[0079] When the target map information and the target positioning information are acquired in real time, a 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 acquired in real time, corresponding target weather information is determined in real time according to the target location;

[0081] The target road condition is generated accordingly according to the target weather information.

[0082] Furthermore, the step of generating a corresponding target mode control instruction in real time according to the target road condition includes:

[0083] 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;

[0084] When the real-time weather information is acquired in real time, determining in real time whether the real-time weather information is consistent with the target weather information;

[0085] 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.

[0086] Furthermore, the step of generating a corresponding target mode control instruction in real time according to the target road condition includes:

[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 corresponding target code in real time by a preset algorithm;

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

[0090] Furthermore, the step of generating a corresponding target mode control instruction in real time according to the target road condition includes:

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

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

[0093] Furthermore, the step of inputting the target code into the instruction generation model to output the target model control instruction includes:

[0094] When the target code is acquired in real time, several code values ​​correspondingly contained in the target code are detected in real time, and several model nodes correspondingly contained in the instruction generation model are detected in real time, and several code values ​​are correspondingly input into the interior of several model nodes to output the target model control instructions accordingly.

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

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

[0097] The off-road mode switching knob switch ATS SW is used to switch to automatic off-road mode; the camera Camera captures and identifies the vehicle's surroundings, the P-Box provides high-precision positioning information, and the V-Box provides Internet access to obtain weather information; the autonomous driving domain controller ADCU selects the best terrain off-road mode (snow, sand, mud, grass) from the central computing unit CCU according to the vehicle's current road conditions (surrounding environment, high-precision positioning, weather, etc.); the central computing unit CCU receives the mode request from the autonomous driving domain controller ADCU, manages and publishes the vehicle's terrain off-road mode, and adapts to adjust the performance parameters of the vehicle's acceleration and energy recovery; the brake controller IPB adjusts the anti-skid performance parameters according to different terrain off-road modes; the intelligent cockpit domain controller CDC receives the driving mode signal to switch the UI display style;

[0098] The autonomous driving camera arranged in front of the vehicle captures and identifies the road conditions in front of the vehicle, and sends the image information to the autonomous driving domain controller ADCU; the P-Box sends the high-precision satellite positioning signal to the autonomous driving domain controller ADCU; the V-Box sends the latest weather information to the autonomous driving domain controller ADCU through the 5G module to access the Internet; after the autonomous driving domain controller ADCU receives the front road condition information image taken by the front-view camera, it combines the high-precision map information, high-precision positioning information, and local weather information to comprehensively judge the road condition of the vehicle at this time (i.e. snow or mud or sand or grass), and sends the road condition information to the central computing unit CCU via Ethernet; the central computing unit CCU receives the off-road mode switching knob switch ATS When SW switches to automatic off-road mode, it processes the road condition information (i.e. snow or mud or sand or grass) sent by ADCU, judges and automatically adjusts to switch to the off-road mode corresponding to the road condition (i.e. snow mode or mud mode or sand mode or grass mode); the central computing unit CCU adjusts the acceleration mode and energy recovery mode according to the off-road mode corresponding to the road condition at this time, and controls the color of the ambient light AL through the LIN signal to correspond to different off-road modes; the central computing unit CCU sends the off-road mode to the brake controller IPB through the CAN signal, and the brake controller IPB adjusts the ESP mode according to the off-road mode at this time; the central computing unit CCU sends the off-road mode to the intelligent cockpit domain controller CDC through the CAN signal, and the intelligent cockpit domain controller CDC synchronously switches different off-road mode styles on the central control screen and the instrument cluster.

[0099] See also Figure 2 , the third embodiment of the present invention provides:

[0100] A vehicle off-road mode adjustment system, wherein the system comprises:

[0101] A collection module, used to collect the driving image in front of the vehicle in real time through a preset collection device, and perform real-time analysis and processing on the driving image to detect the road condition information corresponding to the vehicle in real time;

[0102] A detection module, configured to detect the target road condition for the vehicle to travel in real time according to the road condition information based on a preset rule, and generate a corresponding target mode control instruction in real time according to the target road condition;

[0103] The control module is used to call out the target off-road mode inside the vehicle according to the target mode control instruction, and control the acceleration mode and energy recovery mode of the vehicle according to the target off-road mode in real time to complete the mode adjustment of the vehicle accordingly.

[0104] Furthermore, the control module is specifically used for:

[0105] When the road condition information is acquired in real time, the road condition information is analyzed and processed 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 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.

[0107] Furthermore, the control module is specifically used for:

[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 in real time according to the target map information and the target positioning information;

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

[0110] The target road condition is generated accordingly according to the target weather information.

[0111] Furthermore, the control module is specifically used for:

[0112] 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;

[0113] When the real-time weather information is acquired in real time, determining in real time whether the real-time weather information is consistent with the target weather information;

[0114] 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.

[0115] Furthermore, 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 by a preset algorithm;

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

[0119] Furthermore, 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 out in real time from a preset database;

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

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

[0123] When the target code is acquired in real time, several code values ​​correspondingly contained in the target code are detected in real time, and several model nodes correspondingly contained in the instruction generation model are detected in real time, and several code values ​​are correspondingly input into the interior of several model nodes to output the target model control instructions accordingly.

[0124] A fourth embodiment of the present invention provides a computer, comprising 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] A fifth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the vehicle off-road mode adjustment method as described above is implemented.

[0126] In summary, the vehicle off-road mode adjustment method and system provided by the above embodiments of the present invention can automatically and accurately complete the adjustment of the vehicle off-road mode, thereby eliminating the need for manual operation and improving the user experience.

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

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

[0129] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0130] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0131] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0132] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A method for adjusting a vehicle off-road mode, characterized in that: The method comprises: The driving image in front of the vehicle is collected in real time by a preset collection device, and the driving image is analyzed and processed in real time to detect the road condition information corresponding to the vehicle in real time; Based on preset rules, the target road condition corresponding to the vehicle is detected in real time according to the road condition information, and the corresponding target mode control instruction is generated in real time according to the target road condition; The target off-road mode in the vehicle is called out according to the target mode control instruction, 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 accordingly.

2. The vehicle off-road mode adjustment method according to claim 1, characterized in that: The step of detecting the target road condition corresponding to the vehicle's driving in real time according to the road condition information based on a preset rule comprises: When the road condition information is acquired in real time, the road condition information is analyzed and processed in real time to detect a target driving road corresponding to the vehicle; 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.

3. The vehicle off-road mode adjustment method according to claim 2, characterized in that: The step of determining the target road condition corresponding to the vehicle in real time according to the target map information and the target positioning information comprises: When the target map information and the target positioning information are acquired in real time, a target location corresponding to the vehicle is determined in real time according to the target map information and the target positioning information; When the target location is acquired in real time, corresponding target weather information is determined in real time according to the target location; The target road condition is generated accordingly according to the target weather information.

4. The vehicle off-road mode adjustment method according to claim 3, characterized in that: The step of generating the target road condition according to 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 according to the target driving road; When the real-time weather information is acquired in real time, determining 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.

5. The vehicle off-road mode adjustment method according to claim 1, characterized in that: The step of generating a corresponding target mode control instruction in real time according to the target road condition comprises: When the target road condition is acquired in real time, a target character corresponding to the target road condition is determined in real time; When the target character is acquired in real time, the target character is converted into a corresponding target code in real time by 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 instruction accordingly.

6. The vehicle off-road mode adjustment method according to claim 5, characterized in that: The step of processing the target code into instructions to generate the target mode control instruction accordingly comprises: When the target code is acquired in real time, an instruction generation model adapted to the target code is called out in real time from a preset database; The target code is input into the instruction generation model accordingly to output the target model control instruction accordingly.

7. The vehicle off-road mode adjustment method according to claim 6, characterized in that: The step of inputting the target code into the instruction generation model to output the target model control instruction accordingly includes: When the target code is acquired in real time, several code values ​​correspondingly contained in the target code are detected in real time, and several model nodes correspondingly contained in the instruction generation model are detected in real time, and several code values ​​are correspondingly input into the interior of several model nodes to correspondingly output the target model control instructions.

8. A vehicle off-road mode adjustment system, characterized in that: The system comprises: A collection module, used to collect the driving image in front of the vehicle in real time through a preset collection device, and perform real-time analysis and processing on the driving image to detect the road condition information corresponding to the vehicle in real time; A detection module, configured to detect the target road condition for the vehicle to travel in real time according to the road condition information based on a preset rule, and generate a corresponding target mode control instruction in real time according to the target road condition; The control module is used to call out the target off-road mode inside the vehicle according to the target mode control instruction, and control the acceleration mode and energy recovery mode of the vehicle according to the target off-road mode in real time to complete the mode adjustment of the vehicle accordingly.

9. 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, the vehicle off-road mode adjustment method according to any one of claims 1 to 7 is implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the vehicle off-road mode adjustment method as described in any one of claims 1 to 7 is implemented.

Images