Vehicle driving control method and system

Abstract

The invention provides a vehicle driving control method and system.The method comprises the steps that when it is detected that a vehicle is in a running state in real time, environment information around the vehicle is collected in real time through a preset collecting device; calling a GNSS (Global Navigation Satellite System) in the vehicle, and detecting driving parameters corresponding to the vehicle in real time; a target GNSS signal corresponding to the vehicle is generated in real time through a GNSS system according to the driving parameters, and whether a failure sensor appears in the vehicle or not is judged in real time; if it is judged that a failure sensor appears in the vehicle in real time, a corresponding control signal is generated in real time according to the target GNSS signal, and automatic driving of the vehicle is correspondingly completed through the control signal, so that the driving blind area of the vehicle is correspondingly eliminated. According to the invention, the blind area can be effectively eliminated, and the user experience is correspondingly improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a vehicle driving control method and system. Background Art

[0002] With the advancement of science and technology and the rapid development of productivity, cars have become popular in people's daily lives and have become one of the indispensable means of transportation in people's daily travel, greatly facilitating people's lives.

[0003] Among them, in order to improve the intelligence level of automobiles, most of the existing automobile manufacturers will install an environmental perception system inside the vehicle. Specifically, the environmental perception system is composed of sensors such as lidar, millimeter-wave radar and camera.

[0004] Furthermore, in actual applications of existing environmental perception systems, when a sensor fails, a blind spot will be formed in part of the vehicle, requiring the vehicle to stop and wait for corresponding maintenance, which poses certain safety hazards and reduces the user experience. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a vehicle driving control method and system to solve the problem that when a sensor of the environmental perception system in the prior art fails, a partial blind spot will be formed around the vehicle.

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

[0007] A vehicle driving control method, wherein the method comprises:

[0008] When it is detected in real time that the vehicle is in a driving state, the environmental information around the vehicle is collected in real time by a preset collection device;

[0009] Calling the GNSS system inside the vehicle and detecting the driving parameters corresponding to the vehicle in real time;

[0010] generating, by the GNSS system, a target GNSS signal corresponding to the vehicle in real time according to the driving parameters, and determining in real time whether a failed sensor appears inside the vehicle;

[0011] If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding control signal is generated in real time according to the target GNSS signal, and the automatic driving of the vehicle is completed according to the control signal, so as to eliminate the driving blind spot of the vehicle.

[0012] The beneficial effect of the present invention is that by detecting the environmental information around the vehicle in real time, an adapted GNSS system can be called out. Furthermore, only the corresponding driving parameters need to be further collected, and a target GNSS signal for subsequent control can be further generated. On this basis, when a failed sensor is detected, the vehicle can be controlled through the target GNSS signal, thereby eliminating safety hazards and improving the user experience.

[0013] Furthermore, the step of generating a target GNSS signal corresponding to the vehicle in real time according to the driving parameters by the GNSS system includes:

[0014] When the driving parameters are acquired in real time, several parameter categories respectively included in the driving parameters are detected in real time;

[0015] A target data set corresponding to each parameter category is matched in real time from the driving parameters, and the target GNSS signal is generated according to the target data set and the GNSS system.

[0016] Further, the step of generating the target GNSS signal according to the target data set and the GNSS system includes:

[0017] When the target data set is acquired in real time, the target data set is fully scanned to detect the characteristic values ​​and non-characteristic values ​​respectively contained in the target data set;

[0018] Removing the non-feature values ​​and converting the feature values ​​into corresponding feature codes through a preset DTW algorithm;

[0019] The target GNSS signal is generated according to the characteristic code and the GNSS system.

[0020] Further, the step of generating the target GNSS signal according to the feature code and the GNSS system includes:

[0021] When the characteristic code is acquired in real time, calling out the adapted original GNSS network in the GNSS system;

[0022] A number of GNSS nodes correspondingly included in the original GNSS network are detected in real time, and the target GNSS signal is correspondingly generated according to the feature code and the number of GNSS nodes.

[0023] Further, the step of generating the target GNSS signal according to the characteristic code and the corresponding GNSS nodes includes:

[0024] When a plurality of the GNSS nodes are acquired in real time, initial network parameters respectively contained in each of the GNSS nodes are detected in real time;

[0025] Each of the initial network parameters is replaced by each of the characteristic codes based on a preset rule to output the target GNSS signal accordingly.

[0026] Furthermore, the step of replacing each of the initial network parameters by each of the feature codes based on a preset rule to output the target GNSS signal accordingly includes:

[0027] Adding a first identifier to each of the characteristic codes, and adding a second identifier to each of the initial network parameters;

[0028] Constructing a mapping relationship between the first identifier and the second identifier in real time, and replacing each of the initial network parameters with each of the feature codes based on the mapping relationship, so as to generate a corresponding target GNSS network in real time;

[0029] The target GNSS signal is outputted in real time via the target GNSS network.

[0030] Furthermore, the step of determining in real time that a failed sensor is present inside the vehicle includes:

[0031] If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding prompt message is sent in real time on the dashboard of the vehicle, and the prompt message includes a text prompt and an icon prompt.

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

[0033] A vehicle driving control system, wherein the system comprises:

[0034] A collection module, used to collect environmental information around the vehicle in real time through a preset collection device when it is detected in real time that the vehicle is in a driving state;

[0035] A detection module, used to call the GNSS system inside the vehicle and detect the driving parameters corresponding to the vehicle in real time;

[0036] A judgment module, configured to generate a target GNSS signal corresponding to the vehicle in real time according to the driving parameters through the GNSS system, and to judge in real time whether a failed sensor appears inside the vehicle;

[0037] The control module is used to generate a corresponding control signal in real time according to the target GNSS signal if it is determined in real time that a failed sensor appears inside the vehicle, and complete the automatic driving of the vehicle through the control signal to eliminate the driving blind spot of the vehicle.

[0038] Furthermore, the judgment module is specifically used for:

[0039] When the driving parameters are acquired in real time, several parameter categories respectively included in the driving parameters are detected in real time;

[0040] A target data set corresponding to each parameter category is matched in real time from the driving parameters, and the target GNSS signal is generated according to the target data set and the GNSS system.

[0041] Furthermore, the judgment module is specifically used for:

[0042] When the target data set is acquired in real time, the target data set is fully scanned to detect the characteristic values ​​and non-characteristic values ​​respectively contained in the target data set;

[0043] Removing the non-feature values ​​and converting the feature values ​​into corresponding feature codes through a preset DTW algorithm;

[0044] The target GNSS signal is generated according to the characteristic code and the GNSS system.

[0045] Furthermore, the judgment module is specifically used for:

[0046] When the characteristic code is acquired in real time, calling out the adapted original GNSS network in the GNSS system;

[0047] A number of GNSS nodes correspondingly included in the original GNSS network are detected in real time, and the target GNSS signal is correspondingly generated according to the feature code and the number of GNSS nodes.

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

[0049] When a plurality of the GNSS nodes are acquired in real time, initial network parameters respectively contained in each of the GNSS nodes are detected in real time;

[0050] Each of the initial network parameters is replaced by each of the characteristic codes based on a preset rule to output the target GNSS signal accordingly.

[0051] Furthermore, the judgment module is specifically used for:

[0052] Adding a first identifier to each of the characteristic codes, and adding a second identifier to each of the initial network parameters;

[0053] Constructing a mapping relationship between the first identifier and the second identifier in real time, and replacing each of the initial network parameters with each of the feature codes based on the mapping relationship, so as to generate a corresponding target GNSS network in real time;

[0054] The target GNSS signal is outputted in real time via the target GNSS network.

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

[0056] If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding prompt message is sent in real time on the dashboard of the vehicle, and the prompt message includes a text prompt and an icon prompt.

[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 driving control 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 the program, when executed by a processor, implements the vehicle driving control method as described above.

[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 driving control method provided by a first embodiment of the present invention;

[0063] Figure 2 This is a structural block diagram of a vehicle driving control 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 the vehicle driving control method provided by the first embodiment of the present invention. The vehicle driving control method provided by this embodiment can effectively complete the control of the vehicle through GNSS signals, thereby eliminating safety hazards and improving the user experience.

[0069] Specifically, this embodiment provides:

[0070] A vehicle driving control method comprises the following steps:

[0071] Step S10, when it is detected in real time that the vehicle is in a driving state, environmental information around the vehicle is collected in real time by a preset collection device;

[0072] Step S20, calling the GNSS system inside the vehicle and detecting the driving parameters corresponding to the vehicle in real time;

[0073] Step S30, generating a target GNSS signal corresponding to the vehicle in real time according to the driving parameters by the GNSS system, and determining in real time whether a failed sensor appears inside the vehicle;

[0074] In step S40, if it is determined in real time that a failed sensor appears inside the vehicle, a corresponding control signal is generated in real time according to the target GNSS signal, and the automatic driving of the vehicle is completed by the control signal to eliminate the driving blind spot of the vehicle.

[0075] Specifically, in this embodiment, it should be noted that in order to timely and effectively complete the control of the vehicle and eliminate the potential safety hazards of the vehicle, it is necessary to obtain the driving status of the vehicle and the corresponding driving information in real time. Based on this, when the vehicle controller set inside the vehicle detects in real time that the vehicle has been started and is in a driving state, the vehicle controller set inside the vehicle will start the vehicle driving control method accordingly. Specifically, in order to facilitate subsequent analysis, the vehicle controller will first collect the corresponding environmental information around the current vehicle, so that the driving road of the current vehicle can be obtained accordingly.

[0076] Furthermore, in order to be able to accurately control the driving behavior of the vehicle subsequently, the present invention will further call out the GNSS (navigation signal) system pre-set inside the current vehicle, and synchronously obtain the corresponding driving parameters generated during the driving of the current vehicle. Based on this, it is possible to synchronously determine whether a failed sensor appears inside the current vehicle during the real-time driving of the vehicle. Specifically, if so, corresponding processing is required. Preferably, the present invention will immediately generate a corresponding control signal in real time based on the GNSS signal output by the above-mentioned GNSS system, and further complete the control of the current vehicle through the control signal, thereby being able to eliminate the impact of blind spots on the driver, eliminate safety hazards, and improve the user experience.

[0077] Second embodiment

[0078] Furthermore, the step of generating a target GNSS signal corresponding to the vehicle in real time according to the driving parameters by the GNSS system includes:

[0079] When the driving parameters are acquired in real time, several parameter categories respectively included in the driving parameters are detected in real time;

[0080] A target data set corresponding to each parameter category is matched in real time from the driving parameters, and the target GNSS signal is generated according to the target data set and the GNSS system.

[0081] Further, the step of generating the target GNSS signal according to the target data set and the GNSS system includes:

[0082] When the target data set is acquired in real time, the target data set is fully scanned to detect the characteristic values ​​and non-characteristic values ​​respectively contained in the target data set;

[0083] Removing the non-feature values ​​and converting the feature values ​​into corresponding feature codes through a preset DTW algorithm;

[0084] The target GNSS signal is generated according to the characteristic code and the GNSS system.

[0085] Further, the step of generating the target GNSS signal according to the feature code and the GNSS system includes:

[0086] When the characteristic code is acquired in real time, calling out the adapted original GNSS network in the GNSS system;

[0087] A number of GNSS nodes correspondingly included in the original GNSS network are detected in real time, and the target GNSS signal is correspondingly generated according to the feature code and the number of GNSS nodes.

[0088] Further, the step of generating the target GNSS signal according to the characteristic code and the corresponding GNSS nodes includes:

[0089] When a plurality of the GNSS nodes are acquired in real time, initial network parameters respectively contained in each of the GNSS nodes are detected in real time;

[0090] Each of the initial network parameters is replaced by each of the characteristic codes based on a preset rule to output the target GNSS signal accordingly.

[0091] Furthermore, the step of replacing each of the initial network parameters by each of the feature codes based on a preset rule to output the target GNSS signal accordingly includes:

[0092] Adding a first identifier to each of the characteristic codes, and adding a second identifier to each of the initial network parameters;

[0093] Constructing a mapping relationship between the first identifier and the second identifier in real time, and replacing each of the initial network parameters with each of the feature codes based on the mapping relationship, so as to generate a corresponding target GNSS network in real time;

[0094] The target GNSS signal is outputted in real time via the target GNSS network.

[0095] Furthermore, the step of determining in real time that a failed sensor is present inside the vehicle includes:

[0096] If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding prompt message is sent in real time on the dashboard of the vehicle, and the prompt message includes a text prompt and an icon prompt.

[0097] In addition, in the present embodiment, it is also necessary to explain that after the required driving parameters are acquired in real time through the above steps, at this time, in order to be able to objectively and accurately generate the target GNSS signal adapted to the current vehicle, preferably, in order to facilitate subsequent data analysis, the present invention will first detect the corresponding several parameter categories contained in the current driving parameters, wherein it should be pointed out that each current parameter category will correspond to a target data set, based on which, the current target data set needs to be further processed. Specifically, the present invention will first perform a full scan of the current target data set, so that the eigenvalues ​​and non-eigenvalues ​​contained therein can be scanned out accordingly. Preferably, the present invention will immediately remove the current non-eigenvalues, and immediately convert the retained eigenvalues ​​through a pre-set DTW algorithm, and can convert them into the required feature codes accordingly.

[0098] Furthermore, after the required feature codes are acquired in real time through the above steps, the present invention will detect the original GNSS network corresponding to the above GNSS system, and at the same time, synchronously detect the several GNSS nodes corresponding to the interior of the current original GNSS network, and can detect the initial network parameters respectively contained in each current GNSS node. Based on this, it is only necessary to add a corresponding first identifier to each current feature code and a corresponding second identifier to each current initial network parameter, and then further construct a mapping relationship between the two. On this basis, each current initial network parameter is replaced with each current feature code according to the current mapping relationship, so that the required target GNSS network can be generated, and the required target GNSS signal can be finally output through the target GNSS network for subsequent processing.

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

[0100] A vehicle driving control system, wherein the system comprises:

[0101] A collection module, used to collect environmental information around the vehicle in real time through a preset collection device when it is detected in real time that the vehicle is in a driving state;

[0102] A detection module, used to call the GNSS system inside the vehicle and detect the driving parameters corresponding to the vehicle in real time;

[0103] A judgment module, configured to generate a target GNSS signal corresponding to the vehicle in real time according to the driving parameters through the GNSS system, and to judge in real time whether a failed sensor appears inside the vehicle;

[0104] The control module is used to generate a corresponding control signal in real time according to the target GNSS signal if it is determined in real time that a failed sensor appears inside the vehicle, and complete the automatic driving of the vehicle through the control signal to eliminate the driving blind spot of the vehicle.

[0105] Furthermore, the judgment module is specifically used for:

[0106] When the driving parameters are acquired in real time, several parameter categories respectively included in the driving parameters are detected in real time;

[0107] A target data set corresponding to each parameter category is matched in real time from the driving parameters, and the target GNSS signal is generated according to the target data set and the GNSS system.

[0108] Furthermore, the judgment module is specifically used for:

[0109] When the target data set is acquired in real time, the target data set is fully scanned to detect the characteristic values ​​and non-characteristic values ​​respectively contained in the target data set;

[0110] Removing the non-feature values ​​and converting the feature values ​​into corresponding feature codes through a preset DTW algorithm;

[0111] The target GNSS signal is generated according to the characteristic code and the GNSS system.

[0112] Furthermore, the judgment module is specifically used for:

[0113] When the characteristic code is acquired in real time, calling out the adapted original GNSS network in the GNSS system;

[0114] A number of GNSS nodes correspondingly included in the original GNSS network are detected in real time, and the target GNSS signal is correspondingly generated according to the feature code and the number of GNSS nodes.

[0115] Furthermore, the judgment module is specifically used for:

[0116] When a plurality of the GNSS nodes are acquired in real time, initial network parameters respectively contained in each of the GNSS nodes are detected in real time;

[0117] Each of the initial network parameters is replaced by each of the characteristic codes based on a preset rule to output the target GNSS signal accordingly.

[0118] Furthermore, the judgment module is specifically used for:

[0119] Adding a first identifier to each of the characteristic codes, and adding a second identifier to each of the initial network parameters;

[0120] Constructing a mapping relationship between the first identifier and the second identifier in real time, and replacing each of the initial network parameters with each of the feature codes based on the mapping relationship, so as to generate a corresponding target GNSS network in real time;

[0121] The target GNSS signal is outputted in real time via the target GNSS network.

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

[0123] If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding prompt message is sent in real time on the dashboard of the vehicle, and the prompt message includes a text prompt and an icon prompt.

[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 driving control 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 the program, when executed by a processor, implements the vehicle driving control method as described above.

[0126] In summary, the vehicle driving control method and system provided by the above embodiments of the present invention can effectively control the vehicle through GNSS signals, thereby eliminating safety hazards 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 vehicle driving control method, characterized in that: The method comprises: When it is detected in real time that the vehicle is in a driving state, the environmental information around the vehicle is collected in real time by a preset collection device; Calling the GNSS system inside the vehicle and detecting the driving parameters corresponding to the vehicle in real time; generating, by the GNSS system, a target GNSS signal corresponding to the vehicle in real time according to the driving parameters, and determining in real time whether a failed sensor appears inside the vehicle; If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding control signal is generated in real time according to the target GNSS signal, and the automatic driving of the vehicle is completed according to the control signal, so as to eliminate the driving blind spot of the vehicle.

2. The vehicle driving control method according to claim 1, characterized in that: The step of generating a target GNSS signal corresponding to the vehicle in real time according to the driving parameters by the GNSS system comprises: When the driving parameters are acquired in real time, several parameter categories respectively included in the driving parameters are detected in real time; A target data set corresponding to each parameter category is matched in real time from the driving parameters, and the target GNSS signal is generated according to the target data set and the GNSS system.

3. The vehicle driving control method according to claim 2, characterized in that: The step of generating the target GNSS signal according to the target data set and the GNSS system comprises: When the target data set is acquired in real time, the target data set is fully scanned to detect the characteristic values ​​and non-characteristic values ​​respectively contained in the target data set; Removing the non-feature values ​​and converting the feature values ​​into corresponding feature codes through a preset DTW algorithm; The target GNSS signal is generated according to the characteristic code and the GNSS system.

4. The vehicle driving control method according to claim 3, characterized in that: The step of generating the target GNSS signal according to the feature code and the GNSS system comprises: When the characteristic code is acquired in real time, calling out the adapted original GNSS network in the GNSS system; A number of GNSS nodes correspondingly included in the original GNSS network are detected in real time, and the target GNSS signal is correspondingly generated according to the feature code and the number of GNSS nodes.

5. The vehicle driving control method according to claim 4, characterized in that: The step of generating the target GNSS signal according to the feature code and the corresponding GNSS nodes comprises: When a plurality of the GNSS nodes are acquired in real time, initial network parameters respectively contained in each of the GNSS nodes are detected in real time; Each of the initial network parameters is replaced by each of the characteristic codes based on a preset rule to output the target GNSS signal accordingly.

6. The vehicle driving control method according to claim 5, characterized in that: The step of replacing each of the initial network parameters by each of the feature codes based on a preset rule to output the target GNSS signal accordingly comprises: Adding a first identifier to each of the characteristic codes, and adding a second identifier to each of the initial network parameters; Constructing a mapping relationship between the first identifier and the second identifier in real time, and replacing each of the initial network parameters with each of the feature codes based on the mapping relationship, so as to generate a corresponding target GNSS network in real time; The target GNSS signal is outputted in real time via the target GNSS network.

7. The vehicle driving control method according to claim 6, characterized in that: The step of determining in real time that a failed sensor is present inside the vehicle comprises: If it is determined in real time that a failed sensor appears inside the vehicle, a corresponding prompt message is sent in real time on the dashboard of the vehicle, and the prompt message includes a text prompt and an icon prompt.

8. A vehicle driving control system, characterized in that: The system comprises: A collection module, used to collect environmental information around the vehicle in real time through a preset collection device when it is detected in real time that the vehicle is in a driving state; A detection module, used to call the GNSS system inside the vehicle and detect the driving parameters corresponding to the vehicle in real time; A judgment module, configured to generate a target GNSS signal corresponding to the vehicle in real time according to the driving parameters through the GNSS system, and to judge in real time whether a failed sensor appears inside the vehicle; The control module is used to generate a corresponding control signal in real time according to the target GNSS signal if it is determined in real time that a failed sensor appears inside the vehicle, and complete the automatic driving of the vehicle through the control signal to eliminate the driving blind spot of the vehicle.

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 driving control 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 driving control method according to any one of claims 1 to 7 is implemented.

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