Method for determining fogging risk, electronic device, computer program product and vehicle

Abstract

The invention provides a method for determining a fogging risk, electronic equipment, a computer program product and a vehicle, and relates to the technical field of vehicles. The method comprises the steps of detecting a sunlight irradiation state of a target vehicle; and according to the sunshine irradiation state of the target vehicle, in combination with a glass temperature detection value and an air humidity value near the glass of the target vehicle, determining a fogging risk. The method and the device are used for solving the problem that a fogging risk value in an existing specific environment cannot reflect a real fogging risk.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a method for determining fogging risk, an electronic device, a computer program product, and a vehicle. Background Art

[0002] The current method for calculating the fogging risk of vehicles is to use the sensor on the front windshield of the vehicle to detect the glass temperature and the air humidity near the glass to calculate the dew point temperature of the air near the glass, and then obtain the corresponding fogging risk index based on the difference between the dew point temperature and the glass temperature. This method does not take into account the impact of the vehicle's environment on the fogging risk, resulting in the fogging risk value calculated in a specific environment not being able to reflect the actual fogging risk. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure are directed to providing a method, electronic device, computer program product and vehicle for determining fogging risk, so as to solve the problem that the fogging risk value under existing specific environments cannot reflect the actual fogging risk.

[0004] In one aspect, the present disclosure provides a method for determining a fogging risk, comprising:

[0005] Detect the sunlight exposure status of the target vehicle;

[0006] The fogging risk is determined according to the sunlight exposure state of the target vehicle, combined with the glass temperature detection value and the air humidity value near the glass of the target vehicle.

[0007] A second aspect of the present disclosure provides an electronic device, including:

[0008] at least one processor; and

[0009] a memory communicatively connected to the at least one processor; wherein,

[0010] The memory stores at least one computer program executable by the at least one processor, and the at least one computer program is executed by the at least one processor so that the at least one processor can perform the method for determining the fogging risk described in the first aspect.

[0011] A third aspect of the present disclosure provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method for determining the fogging risk described in the first aspect is implemented.

[0012] Optionally, the computer program may be stored in a readable storage medium of a computer device or in the cloud; and the processor of the computer device reads the computer program from the readable storage medium or in the cloud.

[0013] A fourth aspect of the present disclosure provides a vehicle, comprising a controller, wherein the controller is capable of implementing the method for determining fogging risk described in the first aspect.

[0014] The embodiments provided by the present disclosure determine the fogging risk by detecting the sunlight exposure state of the target vehicle, and based on the sunlight exposure state of the target vehicle, combined with the glass temperature detection value and the air humidity value near the glass. Thus, when determining the fogging risk, the sunlight exposure state of the target vehicle is comprehensively considered to eliminate the influence of solar radiation on the glass temperature and improve the accuracy of the fogging risk characterization value. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Shown is a schematic flow chart of a method for determining fogging risk provided by an embodiment of the present disclosure;

[0016] Figure 2 The figure is a schematic diagram of a process for determining the risk of fogging of a vehicle according to scenes with and without sunlight provided by an embodiment of the present disclosure;

[0017] Figure 3 Shown is a block diagram of a device for determining fogging risk provided by an embodiment of the present disclosure;

[0018] Figure 4 Shown is a block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0020] In the absence of conflict, the various embodiments of the present disclosure and the various features therein may be combined with each other.

[0021] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0022] The terms used herein are only used to describe specific embodiments and are not intended to limit the present disclosure. As used herein, the singular forms "a" and "the" are also intended to include plural forms, unless the context clearly indicates otherwise. It will also be understood that when the terms "including" and / or "made of" are used in this specification, the presence of the features, wholes, steps, operations, elements and / or components is specified, but the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof is not excluded. "Connected" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0023] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted as having an idealized or overly formal meaning unless explicitly defined as such herein.

[0024] An embodiment of the present disclosure provides a method for determining fogging risk, such as Figure 1 As shown, it mainly includes:

[0025] 101, detecting the sunlight exposure status of the target vehicle.

[0026] The sunlight exposure state includes a sunlight exposure state and a non-sunlight exposure state.

[0027] Whether the target vehicle is exposed to sunlight can be determined by whether a solar radiation sensor installed on the vehicle detects solar radiation. When solar radiation is detected, it is determined that the target vehicle is exposed to sunlight. When solar radiation is not detected, it is determined that the target vehicle is not exposed to sunlight.

[0028] 102 , determining the fogging risk according to the sunlight exposure state of the target vehicle, in combination with the glass temperature detection value and the air humidity value near the glass of the target vehicle.

[0029] In some embodiments, the fogging risk is determined based on the sunlight exposure state of the vehicle in combination with the glass temperature detection value and the air humidity value near the glass of the target vehicle, including: when the target vehicle is not exposed to sunlight, the fogging risk is determined based on the glass temperature detection value and the air humidity value near the glass of the target vehicle; when the target vehicle is exposed to sunlight, the glass temperature detection value of the target vehicle is corrected according to solar radiation information to obtain a glass temperature correction value, and the fogging risk is determined based on the glass temperature correction value and the air humidity value near the glass of the target vehicle.

[0030] Among them, the fogging risk can be quantified using a fogging risk characterization value, and the fogging risk characterization value is used to indicate the risk probability of glass fogging.

[0031] In some embodiments, the fogging risk is determined according to the glass temperature detection value and the air humidity value near the glass of the target vehicle, including: determining the dew point temperature according to the glass temperature detection value and the air humidity value near the glass; determining the fogging risk according to the difference between the proportional temperature detection value and the dew point temperature. For example, the glass temperature detection value minus the dew point temperature is equal to zero, and the fogging risk characterization value indicates that the fogging risk is 100%; the glass temperature detection value minus the dew point temperature is equal to a preset value, and the fogging risk characterization value indicates that the fogging risk is 0%. The difference between the glass temperature detection value and the dew point temperature is linearly correlated with the fogging risk characterization value.

[0032] The mapping relationship among the glass temperature detection value, the air humidity value and the dew point temperature may be pre-configured to obtain the dew point temperature mapped to the glass temperature detection value and the air humidity value.

[0033] In some embodiments, the glass temperature detection value of the target vehicle is corrected according to the solar radiation information to obtain a glass temperature correction value, including: obtaining a first solar radiation intensity value of the left windshield of the target vehicle and a second solar radiation intensity value of the right windshield; according to the first solar radiation intensity value and the second solar radiation intensity value, the glass temperature detection value of the target vehicle is corrected to obtain a glass temperature correction value.

[0034] In some embodiments, a first solar radiation sensor and a second solar radiation sensor are installed on the target vehicle; the first solar radiation sensor is used to detect the solar radiation intensity of the left windshield to obtain a first solar radiation intensity value; the second solar radiation sensor is used to detect the solar radiation intensity of the right windshield to obtain a second solar radiation intensity value.

[0035] It should be noted that there is no restriction on the installation positions of the first solar radiation sensor and the second solar radiation sensor. For example, the first solar radiation intensity sensor is installed on or above the left windshield, and the second solar radiation sensor is installed on or above the right windshield; or, the first solar radiation intensity sensor and the second solar radiation sensor are integrated with the rain sensor, the glass temperature sensor and the air humidity sensor near the glass, which is called a five-in-one sensor and is installed above the front windshield or inside the vehicle.

[0036] In an exemplary embodiment, the units of the first solar radiation intensity value and the second solar radiation intensity value are watts per square meter (W / m 2 ).

[0037] In some embodiments, the first solar radiation intensity value and the second solar radiation intensity value are filtered to filter out burrs, so that the change curves of the filtered first solar radiation intensity value and the second solar radiation intensity value are smooth, avoiding the first solar radiation intensity value and the second solar radiation intensity value changing too quickly, resulting in frequent fog risk calculations.

[0038] In some embodiments, the glass temperature detection value of the target vehicle is corrected according to the first solar radiation intensity value and the second solar radiation intensity value to obtain a glass temperature correction value, including: determining a difference representation value between the first solar radiation intensity value and the second solar radiation intensity value; determining a correction amount according to the difference representation value; and correcting the glass temperature detection value of the target vehicle using the correction amount to obtain a glass temperature correction value. In this embodiment, the glass temperature of the target vehicle is corrected based on the difference representation value of the solar radiation intensity values ​​of the left windshield and the right windshield, and the different fogging risks caused by different sunlight conditions of the left and right windshields are introduced into the determination process of the fogging risk value, thereby improving the accuracy of the fogging risk value.

[0039] It should be noted that the difference characterization value is used to characterize the difference between the first solar radiation intensity value and the second solar radiation intensity value, and the specific form of the difference characterization value is not limited. For example, the difference characterization value can be directly the absolute value of the difference between the first solar radiation intensity value and the second solar radiation intensity value; or, the absolute value of the difference between the first solar radiation intensity value and the second solar radiation intensity value is calculated, and the sum of the first solar radiation intensity value and the second solar radiation intensity value is calculated, and the ratio of the absolute value of the difference to the sum is used as the difference characterization value.

[0040] In some embodiments, the determining of the difference characterization value between the first solar radiation intensity value and the second solar radiation intensity value includes: determining the absolute value of the difference between the first solar radiation intensity value and the second solar radiation intensity value; and determining the difference characterization value according to the absolute value of the difference, wherein the absolute value of the difference is positively correlated with the difference characterization value. Here, the difference characterization value is determined by the absolute value of the difference, and the absolute value of the difference is positively correlated with the difference characterization value, and the difference characterization value can directly reflect the temperature difference between the left windshield and the right windshield caused by the difference in sunlight exposure.

[0041] In some embodiments, the correction amount is positively correlated with the difference characterization value. Here, the difference characterization value directly reflects the difference between the first solar radiation intensity value and the second solar radiation intensity value. When the difference characterization value is positively correlated with the absolute value of the difference, the larger the difference characterization value, the greater the difference in sunlight intensity between the left windshield and the right windshield. In order to accurately indicate the risk of fogging of the side windshield, more compensation for the glass temperature is required.

[0042] In some embodiments, determining the correction amount based on the difference characterization value includes: when the difference characterization value is greater than a first threshold and less than or equal to a second threshold, determining the correction amount to be a first target value; wherein the first threshold is less than the second threshold; when the difference characterization value is greater than the second threshold, determining the correction amount to be a second target value; wherein the second target value is greater than the first target value.

[0043] Among them, when the difference characterization value is less than or equal to the first threshold, it is considered that the sun is directly shining on the front windshield, and there is no problem of oblique sunlight on the side windshield causing the side glass to fog up. Therefore, there is no need to correct the glass temperature detection value of the target vehicle, that is, the correction amount is zero.

[0044] It should be noted that the specific values ​​of the first threshold and the second threshold are pre-calibrated and can be obtained through multiple test statistics. The specific values ​​of the first threshold and the second threshold are not limited here, and designers can configure them according to actual conditions.

[0045] In addition, the specific values ​​of the first target value and the second target value are also pre-calibrated and can be obtained through multiple test statistics. The specific values ​​of the first target value and the second target value are not limited here, and designers can configure them according to actual conditions.

[0046] In some embodiments, before obtaining the first solar radiation intensity value of the left windshield of the target vehicle and the second solar radiation intensity value of the right windshield, the method further includes: detecting that the target vehicle is powered on. Here, after detecting that the target vehicle is powered on, the method for determining the fogging risk provided by the embodiment of the present disclosure is executed to save energy consumption.

[0047] In some embodiments, before obtaining the first solar radiation intensity value of the left windshield of the target vehicle and the second solar radiation intensity value of the right windshield, the method further includes: determining that the environment in which the target vehicle is located has solar radiation. Here, when it is determined that the environment in which the target vehicle is located has solar radiation, that is, when there is sunlight, the method for determining the fogging risk provided by the embodiment of the present disclosure is performed to save energy consumption.

[0048] In some embodiments, the determining of the fogging risk according to the glass temperature correction value and the air humidity value near the glass of the target vehicle includes: determining the dew point temperature according to the glass temperature correction value and the air humidity value near the glass; and determining the fogging risk according to the difference between the glass temperature correction value and the dew point temperature. Here, the dew point temperature is determined by the glass temperature correction value, so that when the sun shines obliquely on the windshield on the side of the vehicle, the influence of the sun's oblique radiation on the glass temperature can be eliminated, the accuracy of the dew point temperature is improved, and the accuracy of the fogging risk is further improved.

[0049] For example, if the glass temperature minus the dew point temperature is equal to zero, the fogging risk characterization value indicates that the fogging risk is 100%; if the glass temperature minus the dew point temperature is equal to a preset value (such as 20), the fogging risk characterization value indicates that the fogging risk is 0%. The difference between the glass temperature and the dew point temperature is linearly correlated with the fogging risk characterization value.

[0050] In an exemplary embodiment, the dew point temperature is determined according to the glass temperature correction value and the air humidity value near the glass, including: obtaining the dew point temperature mapped to the glass temperature correction value and the air humidity value near the glass according to a pre-configured mapping relationship among the glass temperature value, the air humidity value and the dew point temperature. The mapping relationship may be pre-configured by a technician.

[0051] In an exemplary embodiment, Figure 2 As shown in the figure, the process of determining the risk of vehicle fogging based on the presence and absence of sunlight mainly includes:

[0052] 201, the target vehicle is powered on;

[0053] 202, determine whether the target vehicle is exposed to sunlight, if there is sunlight, execute 203, if there is no sunlight, execute 206;

[0054] 203, obtaining a first solar radiation intensity value detected by a first solar radiation sensor on a left windshield and a second solar radiation intensity value detected by a second solar radiation sensor on a right windshield, and calculating an absolute value of a difference between the first solar radiation intensity value and the second solar radiation intensity value;

[0055] 204, A<absolute value of difference≤B, subtract C from the glass temperature value detected by the sensor located above the front windshield of the target vehicle to obtain a glass temperature correction value, and use the glass temperature correction value to calculate the fogging risk characterization value;

[0056] 205, the absolute value of the difference>B, the glass temperature value detected by the sensor located above the front windshield of the target vehicle is subtracted from D to obtain a glass temperature correction value, and the fogging risk characterization value is calculated using the glass temperature correction value;

[0057] 206, calculating the dew point temperature value according to the glass temperature value detected by the sensor above the front windshield of the target vehicle and the air humidity value near the glass, and calculating the fogging risk characterization value according to the difference between the dew point temperature value and the glass temperature value.

[0058] The embodiments provided by the present disclosure determine the fogging risk by detecting the sunlight exposure state of the target vehicle, and based on the sunlight exposure state of the target vehicle, combined with the glass temperature detection value and the air humidity value near the glass. Thus, when determining the fogging risk, the sunlight exposure state of the target vehicle is comprehensively considered to eliminate the influence of solar radiation on the glass temperature and improve the accuracy of the fogging risk characterization value.

[0059] When the target vehicle is not exposed to sunlight, the fogging risk characterization value is determined directly based on the glass temperature detection value and the air humidity value near the glass. When the target vehicle is exposed to sunlight, the glass temperature detection value of the target vehicle is corrected based on the solar radiation information to eliminate the influence of solar radiation on the glass temperature, thereby improving the accuracy of the glass temperature used for fogging risk calculation, and thus improving the accuracy of the fogging risk characterization value.

[0060] By obtaining a first solar radiation intensity value of the left windshield of the target vehicle and a second solar radiation intensity value of the right windshield, the glass temperature detection value of the target vehicle is corrected according to the first solar radiation intensity value and the second solar radiation intensity value, so as to eliminate the influence of solar radiation on the glass temperature, improve the accuracy of the glass temperature used for fogging risk calculation, and thereby improve the accuracy of the fogging risk characterization value.

[0061] It can be understood that the above-mentioned various method embodiments mentioned in the present disclosure can be combined with each other to form a combined embodiment without violating the principle logic. Due to space limitations, the present disclosure will not repeat them. It can be understood by those skilled in the art that in the above-mentioned method of the specific implementation, the specific execution order of each step should be determined by its function and possible internal logic, and the execution order between the steps is not limited to being implemented according to the step number.

[0062] In addition, the present disclosure also provides a lane change behavior recognition device, an electronic device, and a computer program product, all of which can be used to implement any method for determining fogging risk provided by the present disclosure. The corresponding technical solutions and descriptions are referred to the corresponding records in the method part and will not be repeated here.

[0063] Figure 3 The block diagram of a device for determining fogging risk provided by an embodiment of the present disclosure is shown. The device for determining fogging risk mainly includes:

[0064] The first processing module 301 is used to detect the sunlight exposure state of the target vehicle;

[0065] The second processing module 302 is used to determine the fogging risk according to the sunlight exposure state of the target vehicle, in combination with the glass temperature detection value and the air humidity value near the glass of the target vehicle.

[0066] Each module in the above-mentioned device for determining fogging risk can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0067] Figure 4 A block diagram of an electronic device provided in an embodiment of the present disclosure.

[0068] Reference Figure 4 An embodiment of the present disclosure provides an electronic device, which includes: at least one processor 401; at least one memory 402, and one or more I / O interfaces 403, connected between the processor 401 and the memory 402; wherein the memory 402 stores one or more computer programs that can be executed by the at least one processor 401, and the one or more computer programs are executed by the at least one processor 401 so that the at least one processor 401 can execute the above-mentioned method for determining the risk of fogging.

[0069] Each module in the above electronic device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0070] The embodiments of the present disclosure also provide a computer program product, including a computer program, which implements the above-mentioned method for determining fogging risk when executed in a processor.

[0071] The computer program may be stored in a readable storage medium of a computer device or in the cloud; the processor of the computer device reads the computer program from the readable storage medium or in the cloud.

[0072] The computer program product may be implemented in hardware, software or a combination thereof. In one optional embodiment, the computer program product is implemented as a computer storage medium. In another optional embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0073] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable storage medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium).

[0074] As is known to those of ordinary skill in the art, the term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable program instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technology, portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. In addition, it is known to those of ordinary skill in the art that communication media typically contain computer-readable program instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and may include any information delivery medium.

[0075] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0076] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0077] The computer program product described herein may be implemented in hardware, software, or a combination thereof. In one optional embodiment, the computer program product is embodied as a computer storage medium, and in another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (SDK), etc.

[0078] Various aspects of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0079] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0080] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0081] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.

[0082] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the present disclosure should be included in the protection scope of the present disclosure.

Claims

1. A method for determining fogging risk, characterized in that include: Detect the sunlight exposure status of the target vehicle; The fogging risk is determined according to the sunlight exposure state of the target vehicle, combined with the glass temperature detection value and the air humidity value near the glass of the target vehicle.

2. The method according to claim 1, characterized in that The determining of the fogging risk according to the sunlight exposure state of the vehicle, in combination with the glass temperature detection value and the air humidity value near the glass of the target vehicle, includes: When the target vehicle is not exposed to sunlight, the fogging risk is determined according to the glass temperature detection value and the air humidity value near the glass of the target vehicle; When the target vehicle is exposed to sunlight, the glass temperature detection value of the target vehicle is corrected according to the solar radiation information to obtain a glass temperature correction value, and the fogging risk is determined according to the glass temperature correction value and the air humidity value near the glass of the target vehicle.

3. The method according to claim 2, characterized in that The step of correcting the glass temperature detection value of the target vehicle according to the solar radiation information to obtain a glass temperature correction value includes: Acquire a first solar radiation intensity value of a left windshield and a second solar radiation intensity value of a right windshield of the target vehicle; The glass temperature detection value of the target vehicle is corrected according to the first solar radiation intensity value and the second solar radiation intensity value to obtain a glass temperature correction value.

4. The method according to claim 3, characterized in that The step of correcting the glass temperature detection value of the target vehicle according to the first solar radiation intensity value and the second solar radiation intensity value to obtain a glass temperature correction value includes: Determine a difference representation value between the first solar radiation intensity value and the second solar radiation intensity value; wherein the difference representation value is used to represent the difference between the first solar radiation intensity value and the second solar radiation intensity value; Determining a correction amount according to the difference characterization value; The glass temperature detection value of the target vehicle is corrected by using the correction amount to obtain a glass temperature correction value.

5. The method according to claim 4, characterized in that The determining of a difference representation value between the first solar radiation intensity value and the second solar radiation intensity value comprises: Determining an absolute value of a difference between the first solar radiation intensity value and the second solar radiation intensity value; The difference characterization value is determined according to the absolute value of the difference, wherein the absolute value of the difference is positively correlated with the difference characterization value.

6. The method according to claim 5, characterized in that The correction amount is positively correlated with the difference characterization value.

7. The method according to claim 5, characterized in that The step of determining the correction amount according to the difference characterization value comprises: When the difference characterization value is greater than a first threshold value and less than or equal to a second threshold value, determining the correction amount to be a first target value; wherein the first threshold value is less than the second threshold value; When the difference characterization value is greater than a second threshold, the correction amount is determined to be a second target value; wherein the second target value is greater than the first target value.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores at least one computer program executable by the at least one processor, wherein the at least one computer program is executed by the at least one processor so as to enable the at least one processor to perform the method for determining fogging risk according to any one of claims 1 to 7.

9. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method for determining fogging risk according to any one of claims 1 to 7 is implemented.

10. A vehicle, characterized in that: The method comprises a controller, wherein the controller is capable of implementing the method for determining fogging risk according to any one of claims 1 to 7.

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