Vehicle fog lamp control method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a vehicle fog lamp control method and device, equipment and a medium. The method comprises the following steps: acquiring environment information, wherein the environment information comprises environment image information and laser radar data; determining a current meteorological index based on the environment image information and the laser radar data; receiving a V2X message sent by the roadside equipment, and obtaining a fog lamp reference control strategy corresponding to an adjacent vehicle based on the V2X message; and determining a fog lamp control strategy of the vehicle based on the fog lamp reference control strategy and the current meteorological index. According to the embodiment of the invention, the current meteorological index and the fog lamp reference control strategy of the adjacent vehicle can be combined, the fog lamp setting of the vehicle can be intelligently adjusted, and visual interference caused by misuse of the fog lamp is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle fog light control, and in particular to a vehicle fog light control method, device, electronic device, and computer-readable storage medium. Background Art

[0002] Vehicle fog lights generally include front fog lights and rear fog lights, which are installed at the front and rear of the vehicle respectively, and are used to illuminate the road when driving in rainy and foggy weather. The front fog lights are located slightly lower than the headlights, and generally emit bright yellow light. Because the visibility of fog lights is low, the driver's vision is limited, and the penetration of yellow light is strong, which can improve the driver's visibility. The rear fog lights mostly emit strong red light, which is mainly used in low visibility environments such as fog, snow, rain or dust, so that the driver of the rear vehicle can find the front vehicle in time.

[0003] However, traditional fog lamp systems have a single function and cannot automatically adjust according to environmental changes, which limits their effectiveness in complex weather conditions. In addition, the control of the fog lamps lacks effective interaction with the surrounding environment and cannot achieve intelligent control of the fog lamps. Summary of the invention

[0004] To solve the above technical problems, the embodiments of the present application provide a vehicle fog light control method and device, an electronic device, a computer-readable storage medium, and a computer program product.

[0005] According to one aspect of an embodiment of the present application, a vehicle fog light control method is provided, including: obtaining environmental information, the environmental information including environmental image information and laser radar data; determining a current weather index based on the environmental image information and the laser radar data; receiving a V2X message sent by a roadside device, and obtaining a fog light reference control strategy corresponding to an adjacent vehicle based on the V2X message; and determining a vehicle's fog light control strategy based on the fog light reference control strategy and the current weather index.

[0006] According to one aspect of an embodiment of the present application, the method also includes: obtaining current geographic information and historical meteorological data corresponding to the current geographic information based on the V2X message; determining predicted meteorological information based on the historical meteorological data, the current geographic information and the environmental image information; and correcting the fog lamp control strategy based on the predicted meteorological information.

[0007] According to one aspect of an embodiment of the present application, the current meteorological index includes weather type and visibility, and the method also includes: determining the action parameters of the fog lights based on the weather type and the visibility; regularizing the action parameters to obtain corrected action parameters; and obtaining the fog light control strategy based on the corrected action parameters.

[0008] According to one aspect of an embodiment of the present application, the action parameters include fog lamp color and fog lamp brightness, and the method further includes: if the visibility is not lower than a preset visibility threshold, determining the fog lamp brightness and the fog lamp color based on the visibility and the current weather index; if the visibility is lower than the preset visibility threshold, obtaining road information based on the V2X message to determine the target parking position of the vehicle based on the road information.

[0009] According to one aspect of an embodiment of the present application, the action parameters also include a fog lamp lighting mode, and the method also includes: determining a distance value between the vehicle and an adjacent vehicle based on the V2X message; obtaining a vehicle speed corresponding to the vehicle to determine a flashing frequency and a flashing duration of the fog lamp based on the vehicle speed and the distance value; and determining the fog lamp lighting mode based on the flashing frequency and the flashing duration.

[0010] According to one aspect of an embodiment of the present application, the method also includes: determining actual status information corresponding to the vehicle based on the fog light control strategy; sending a status V2X message to the roadside device based on the actual status information, so that the roadside device obtains a fog light reference control strategy corresponding to the vehicle based on the status V2X message.

[0011] According to one aspect of an embodiment of the present application, the method also includes: generating lighting request information for the roadside equipment based on the fog lamp control strategy; sending the lighting request information to the roadside equipment so that the roadside equipment adjusts the lighting intensity based on the lighting request information.

[0012] According to one aspect of an embodiment of the present application, a vehicle fog light control device is provided, the device comprising: an acquisition module for acquiring environmental information, the environmental information comprising environmental image information and laser radar data; a determination module for determining a current meteorological index based on the environmental image information and the laser radar data; a receiving module for receiving a V2X message sent by a roadside device, and acquiring a fog light reference control strategy corresponding to an adjacent vehicle based on the V2X message; and a control module for determining a vehicle's fog light control strategy based on the fog light reference control strategy and the current meteorological index.

[0013] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the vehicle fog light control method as described above.

[0014] According to one aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor of a computer, the computer executes the vehicle fog lamp control method as described above.

[0015] According to one aspect of an embodiment of the present application, a computer program product is also provided, including a computer program, which implements the steps in the vehicle fog light control method as described above when executed by a processor.

[0016] In the technical solution provided in the embodiment of the present application, by obtaining the environmental image information and the laser radar data in the environmental information to determine the current meteorological index, the meteorological conditions of the current road (such as fog concentration, visibility, etc.) can be judged more accurately, so as to more accurately control the opening and brightness of the fog lamp, which can improve driving safety, and combine the current meteorological index and the fog lamp reference control strategy of the adjacent vehicle to intelligently adjust the fog lamp setting of the vehicle. This personalized fog lamp control not only takes into account the actual needs of the current environment, but also refers to the behavior of the surrounding vehicles, which helps to form a more coordinated and consistent driving environment and reduce the visual interference caused by improper use of fog lamps.

[0017] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0019] Figure 1 is a schematic diagram of an implementation environment for controlling vehicle fog lights according to an exemplary embodiment of the present application;

[0020] Figure 2 is a flow chart of a vehicle fog lamp control method shown in an exemplary embodiment of the present application;

[0021] Figure 3 is a flow chart of a vehicle fog lamp control method shown in another exemplary embodiment of the present application;

[0022] Figure 4 is a flow chart of a vehicle fog lamp control method shown in another exemplary embodiment of the present application;

[0023] Figure 5is a flow chart of a vehicle fog lamp control method shown in another exemplary embodiment of the present application;

[0024] Figure 6 is a flow chart of a vehicle fog lamp control method shown in another exemplary embodiment of the present application;

[0025] Figure 7 is a flow chart of a vehicle fog lamp control method shown in another exemplary embodiment of the present application;

[0026] Figure 8 is a flow chart of a vehicle fog lamp control method shown in another exemplary embodiment of the present application;

[0027] Fig. 9 is a schematic diagram of a simplified process of controlling vehicle fog lights in an exemplary application scenario;

[0028] Fig.10 is a block diagram of a vehicle fog lamp control device shown in an exemplary embodiment of the present application;

[0029] Fig.11 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0030] Here, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are only examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.

[0031] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0032] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0033] The term "multiple" as used in this application refers to two or more than two. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.

[0034] First of all, it should be noted that V2X (Vehicle to Everything) refers to the technology for vehicles to exchange and communicate information with the surrounding environment (including other vehicles, pedestrians, road infrastructure, and networks, etc.). It is a key component of intelligent connected vehicles (ICV) and intelligent transportation systems (ITS).

[0035] And V2X messages are an important part of the Internet of Vehicles technology, which realizes real-time communication and information exchange between vehicles (V2V), vehicles and infrastructure (V2I), vehicles and pedestrians (V2P), and vehicles and networks (V2N). V2X messages refer to information transmitted through wireless networks for communication between vehicles and the external environment. According to the different communication objects, V2X messages can be divided into the following categories: V2V messages: communication messages between vehicles, mainly used to realize the functions of cooperative perception, collision avoidance warning, etc. between vehicles; V2I messages: communication messages between vehicles and infrastructure, such as traffic signals, road conditions and other information issued by roadside units (RSU); V2P messages: communication messages between vehicles and pedestrians, although there are few actual applications at present, they may become an important means to improve road safety in the future; V2N messages: communication messages between vehicles and networks, vehicles exchange data with cloud servers through mobile networks to obtain more extensive traffic information and services.

[0036] Figure 1 FIG. 1 is a schematic diagram of an implementation environment for controlling vehicle fog lights during vehicle driving, shown in an exemplary embodiment of the present application. Figure 1 As shown, the vehicle driving process is summarized, and the vehicle obtains environmental information around the vehicle through the smart terminal 110, wherein the environmental information includes environmental image information and lidar information returned in the environment, and then the current weather index can be determined according to the environmental information and lidar data around the current vehicle, and the V2X message sent by the roadside equipment 120 can be received, and then the smart terminal 110 can obtain the fog light reference control strategy corresponding to the adjacent vehicle according to the V2X message, and then the smart terminal 110 can determine the control strategy of the vehicle's fog lights based on the fog light reference control strategy and the current weather index, thereby realizing intelligent control of the vehicle's fog lights.

[0037] in, Figure 1 The smart terminal 110 shown can be any terminal device that supports the installation of navigation map software, such as a smart phone, a car computer, a tablet computer, a laptop computer, or a wearable device, but is not limited thereto. Figure 1 The roadside device 120 shown can be, for example, an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms, and is not limited here. The smart terminal 110 can communicate with the roadside device 120 through V2X communication.

[0038] Vehicle fog lights generally include front fog lights and rear fog lights, which are installed at the front and rear of the vehicle respectively, and are used to illuminate the road when driving in rainy and foggy weather. The front fog lights are located slightly lower than the headlights, and generally emit bright yellow light. Because the visibility of fog lights is low, the driver's vision is limited, and the penetration of yellow light is strong, which can improve the driver's visibility. The rear fog lights mostly emit strong red light, which is mainly used in low visibility environments such as fog, snow, rain or dust, so that the driver of the rear vehicle can find the front vehicle in time.

[0039] However, traditional fog lamp systems have a single function and cannot automatically adjust according to environmental changes, which limits their effectiveness in complex weather conditions. In addition, they lack effective interaction with the surrounding environment and cannot achieve intelligent control of the fog lamps.

[0040] The problems pointed out above are generally applicable in general travel scenarios. It can be seen that when the fog lights of a vehicle cannot establish effective interaction with changes in the surrounding environment and cannot intelligently adjust the action parameters of the fog lights, various problems will arise. To solve these problems, the embodiments of the present application respectively propose a vehicle fog light control method, a vehicle fog light control device, an electronic device, a computer-readable storage medium, and a computer program product, which will be described in detail below.

[0041] See also Figure 2 , Figure 2 is a flow chart of a vehicle fog lamp control method shown in an exemplary embodiment of the present application. The method can be applied to Figure 1 The implementation environment shown is specifically executed by the smart terminal 110 in the implementation environment. It should be understood that the method can also be applied to other exemplary implementation environments and be specifically executed by devices in other implementation environments. This embodiment does not limit the implementation environment to which the method is applicable.

[0042] like Figure 2 As shown, in an exemplary embodiment, the vehicle fog lamp control method includes at least steps S210 to S240, which are described in detail as follows:

[0043] Step S210, obtaining environmental information, the environmental information including environmental image information and lidar data.

[0044] Specifically, the image information of the environment around the vehicle can be collected by the image acquisition device installed at the corresponding position of the vehicle. The camera can be installed at an appropriate position (such as the top of the vehicle, the head of the robot, etc.) to ensure that the area to be monitored can be captured, and the image acquisition software can be written or configured, the parameters of the camera (such as exposure time, white balance, etc.) are set, and image capture is started. In addition, a laser radar is installed at the corresponding position of the vehicle. The laser radar system emits a laser beam around the vehicle and receives the reflected light signal. By measuring the round-trip time of the laser beam, the distance between the target and the laser radar can be calculated. The laser radar system also records the scanning angle and GPS location information of the laser beam, and converts the measured distance, angle and location information into point cloud data in three-dimensional space. These point cloud data can reflect the three-dimensional shape and structure of the environment around the vehicle.

[0045] Step S220, determining the current weather index based on the environmental image information and the lidar data.

[0046] Following the above-mentioned embodiments, the collected images can be processed by denoising, contrast enhancement, edge detection, etc., so as to more accurately extract environmental features. The point cloud data corresponding to the laser radar is filtered, denoised, clustered, and other operations are performed to convert the original point cloud data into more meaningful feature information, such as the outline of obstacles, ground height maps, etc. Features related to meteorological conditions are extracted from the preprocessed images, such as cloud thickness, visibility (assessed by the clarity of distant objects in the image), density of raindrops or snowflakes, etc. The laser radar data is used to extract the geometric features of the environment, such as the undulation of the terrain, the density and distribution of obstacles, etc. These features indirectly reflect the meteorological conditions (such as wind force, wind speed, etc.).

[0047] Furthermore, the current meteorological index is calculated based on the features of the extracted environmental image and lidar data, combined with a preset meteorological index calculation model or algorithm. The meteorological index can be a single value (such as visibility index, precipitation intensity index, etc.) or a comprehensive evaluation of multiple dimensions (such as weather complexity index).

[0048] Step S230: receiving a V2X message sent by a roadside device, and acquiring a fog light reference control strategy corresponding to an adjacent vehicle based on the V2X message.

[0049] Specifically, the vehicle can receive the roadside equipment corresponding to the road the vehicle is currently traveling on to establish a communication connection, and receive the V2X message sent by the roadside equipment, which can include the road information of the current road section, the status information corresponding to each vehicle on the current road section, and the fog light control strategy based on the vehicle on the current road. After receiving the V2X message sent by the roadside equipment, the vehicle can determine the fog light reference control strategy corresponding to the adjacent vehicle in the current road section according to the received V2X message.

[0050] Exemplarily, the vehicle needs to be equipped with a device capable of receiving V2X communications, such as an on-board unit (OBU) or a corresponding communication module integrated in the vehicle. These devices will continuously monitor and receive V2X messages sent from roadside devices, other vehicles, and possible infrastructure. V2X messages may contain multiple types of information, including but not limited to: vehicle position: the current position of the adjacent vehicle, speed: the driving speed of the adjacent vehicle, driving direction: the driving direction of the adjacent vehicle. Environmental status: such as weather conditions (whether there is fog, rain, snow, etc.), visibility information, etc., vehicle status: such as brake status, turn signal status, fog light status, etc., check whether the fog lights of the adjacent vehicles are turned on. If multiple adjacent vehicles have turned on the fog lights, this may mean that the current environmental visibility is low. Exemplarily, the vehicle in the current road section will report its corresponding fog light control strategy to the roadside device, and the roadside device will save the fog light control strategy as the fog light reference control strategy in the V2X message, and then the vehicle can obtain the fog light control strategy currently adopted by the adjacent vehicle by receiving the V2X message sent by the roadside device.

[0051] Step S240, determining the vehicle's fog lamp control strategy based on the fog lamp reference control strategy and the current weather index.

[0052] Specifically, first, the vehicle needs to evaluate the current meteorological index, which may include a comprehensive consideration of multiple meteorological factors such as visibility, humidity, temperature, and precipitation intensity. In particular, for fog light control, visibility is a crucial factor. The current meteorological index is compared with the preset thresholds, which are set according to historical data, safety standards, and other standard documents to determine whether the current meteorological conditions have reached the level where the fog lights need to be turned on. After evaluating the meteorological index, the vehicle also needs to consider the fog light reference control strategy previously obtained from the V2X message. This reference strategy may be based on multiple factors such as the fog light status of adjacent vehicles, road conditions, and traffic flow. The evaluation results of the meteorological index are combined with the fog light reference control strategy for a comprehensive judgment. If the meteorological index indicates that the current environment visibility is low and the fog light reference control strategy also recommends turning on the fog lights (for example, multiple adjacent vehicles have turned on the fog lights), the vehicle should decide to turn on the fog lights.

[0053] In addition, the fog light operating parameters such as fog light color, fog light brightness, fog light flashing frequency, and fog light flashing duration included in the fog light reference control strategy corresponding to the adjacent vehicle can be used as a reference for the fog light operating parameters for generating the fog light control strategy of this vehicle, thereby reducing the amount of calculation for generating the fog light control strategy of this vehicle and improving the efficiency of generating the fog light control strategy.

[0054] If the weather index is low but the fog lamp reference control strategy does not explicitly instruct to turn on the fog lamps (possibly because the vehicle's current position is not directly affected by low visibility), the vehicle can make further judgments based on its own sensor data and driving conditions.

[0055] In this embodiment, by obtaining the environmental image information and laser radar data in the environmental information to determine the current weather index, the current road weather conditions (such as fog density, visibility, etc.) can be more accurately judged, so as to more accurately control the opening and brightness of the fog lights, which can improve driving safety. In addition, the system can intelligently adjust the vehicle's fog light settings by combining the current weather index and the fog light reference control strategy of adjacent vehicles. This personalized fog light control not only takes into account the actual needs of the current environment, but also refers to the behavior of surrounding vehicles, which helps to form a more coordinated and consistent driving environment and reduce visual interference caused by improper use of fog lights.

[0056] Further, based on the above embodiments, please refer to Figure 3 In one of the exemplary embodiments provided in the present application, the specific implementation process of the above vehicle fog lamp control method may also include steps S310 to S330, which are described in detail as follows:

[0057] Step S310, acquiring current geographic information and historical meteorological data corresponding to the current geographic information based on the V2X message;

[0058] Step S320, determining forecast meteorological information based on historical meteorological data, current geographic information and environmental image information;

[0059] Step S330, modifying the fog lamp control strategy based on the predicted weather information.

[0060] Specifically, V2X communication technology allows vehicles to communicate with surrounding infrastructure (such as traffic lights, weather stations), other vehicles and pedestrians. By receiving V2X messages, vehicles can obtain a variety of information, including: Historical meteorological data: This data may come from a roadside unit (RSU) or a remote weather station, containing weather conditions over a period of time, such as temperature, humidity, visibility, rainfall, etc. These data are crucial for predicting future weather changes. Current geographic information: vehicle location information (latitude and longitude), altitude, and surrounding terrain features. Geographic information helps understand the impact of the current environment on meteorological conditions, such as valleys may be more prone to fog accumulation.

[0061] Environmental image information can be captured by the camera on the vehicle, including real-time video streams or static pictures, which provide intuitive visual feedback about current road conditions. Combined with the following information: Historical meteorological data: Provide baseline data for predicting future weather, Current geographic information: Consider the impact of geographic location and terrain on meteorological changes, Environmental image information: Analyze fog density, visibility, etc. in the image to verify or correct weather forecasts. Using this data, advanced algorithms (such as machine learning or deep learning models) can be used to predict weather conditions in the future, especially fog-related conditions, such as the appearance time, duration and intensity of fog.

[0062] For example, based on predicted weather information, the vehicle can dynamically adjust its fog light control strategy to improve driving safety and visibility. Turn on the fog lights in advance: If upcoming fog is predicted, the vehicle can turn on the fog lights in advance to warn other road users. Adjust the brightness or mode of the fog lights: According to the intensity and range of the fog, adjust the brightness and illumination mode of the fog lights to achieve the best lighting effect and field of view. Link with other safety systems: The fog light control strategy can also be linked with other safety systems of the vehicle (such as adaptive cruise control, lane keeping assist, etc.) to jointly improve driving safety in adverse weather conditions.

[0063] In this embodiment, by combining historical meteorological data and real-time environmental image information, the vehicle can more accurately predict future meteorological conditions, such as haze, rain and snow, so as to adjust the fog lamp control strategy in advance to ensure clear driving vision and reduce the risk of traffic accidents. In addition, by predicting meteorological information to correct the fog lamp control strategy, the vehicle can automatically adjust the brightness or switch status of the fog lamp according to environmental changes, reduce the driver's manual operation, and improve driving convenience and comfort.

[0064] Further, based on the above embodiment, please refer to Figure 4According to one of the exemplary embodiments provided in the present application, the above-mentioned current meteorological index includes weather type and visibility, and the specific implementation process of the above-mentioned vehicle fog lamp control method may also include steps S410 to S430, which are described in detail as follows:

[0065] Step S410, determining the operation parameters of the fog lamp based on the weather type and visibility;

[0066] Step S420, regularizing the action parameters to obtain corrected action parameters;

[0067] Step S430, obtaining a fog lamp control strategy based on the corrected action parameters.

[0068] Specifically, in some achievable embodiments, the collected environmental preview can be processed by a convolutional neural network, and then the weather condition image of the current vehicle environment can be determined by the convolutional neural network, and the corresponding weather type and visibility level can be identified. For example:

[0069]

[0070] in, is the predicted weather type or visibility level, x is the input image, and θ is the parameters of the convolutional neural network (CNN).

[0071] In addition, continuous V2X communication information can be processed by recurrent neural networks, and the weather trend in the future can be predicted through continuous V2X communication information, such as:

[0072]

[0073] in, is the predicted state at time t, st-1 is the state at the previous time, x t is the input at time t, and φ is the parameter of the recurrent neural network (RNN).

[0074] Furthermore, the working state of the fog lamp can be formulated using a fuzzy logic system, combined with the output of a convolutional neural network (CNN) and a recurrent neural network (RNN). The fuzzy logic system is able to handle uncertainty and ambiguity and is suitable for dynamic changes in weather and visibility.

[0075]

[0076] Where a is the action of the fog light (such as changing color, brightness or flashing mode), and are the outputs of CNN and RNN respectively, and ψ is the parameter of the fuzzy logic system.

[0077] Then, when training and optimizing the parameters of the fuzzy logic system, the loss function is defined to measure the gap between the predicted results and the actual state, which is used to guide the optimization of the model parameters.

[0078]

[0079] Among them, L is the total loss, yi is the actual state, is the predicted state, λ is the regularization term coefficient, and R is the regularization function.

[0080] Back propagation algorithm: Use the back propagation algorithm to adjust the model parameters and minimize the loss function.

[0081]

[0082] Where η is the learning rate, is the gradient of the loss function with respect to θ.

[0083] Exemplarily, weather types generally include sunny, cloudy, rainy, foggy, and the like. For fog light control, foggy and rainy days are of primary concern because visibility is low under these weather conditions. Visibility: refers to the maximum horizontal distance at which a person with normal vision can see and identify a target object against the sky background under the current weather conditions. Visibility is an important factor that directly affects the use of fog lights. According to the weather type and visibility, a series of fog light action parameters can be set, such as: Fog light turn-on threshold: When visibility is below a certain threshold, the fog lights should turn on automatically. Fog light brightness: According to different visibility, adjust the brightness of the fog lights to provide better lighting effects. Fog light flashing mode: In extremely low visibility conditions, the fog lights may adopt a flashing mode to attract more attention.

[0084] Among them, regularization is a process of scaling data so that it falls into a small specific interval (such as 0 to 1 or -1 to 1). For the action parameters of fog lights, regularization helps ensure the comparability between different parameters and facilitates subsequent calculation and control.

[0085] For example, for the regularization of fog lamp brightness, a maximum brightness value (such as 100%) and a minimum brightness value (such as 0%) can be set, and then the actual brightness value can be mapped to this interval. If the actual brightness is 50%, the regularized brightness parameter is 0.5. After obtaining the regularized action parameters, a specific fog lamp control strategy can be formulated. This strategy will guide the vehicle on how to adjust the use of fog lamps under different weather types and visibility conditions. Among them, the control strategy includes:

[0086] If the weather type is foggy and the visibility is less than 50 meters, the fog lights will be turned on at maximum brightness and may adopt flashing mode; if the weather type is rainy and the visibility is between 50 meters and 100 meters, the fog lights will be turned on at medium brightness and no flashing mode will be adopted; if the weather type is sunny or cloudy and the visibility is good (such as greater than 200 meters), the fog lights will remain off.

[0087] In this embodiment, by considering the two key factors of weather type and visibility, the operating parameters of the fog lamp, such as brightness, flashing frequency, etc., can be determined more accurately, thereby providing drivers with better lighting and warning effects under different weather conditions. The regularization of the fog lamp operating parameters makes the control of the fog lamp more intelligent and humanized, and can automatically adjust according to the actual environment, reducing the driver's manual operation and improving the convenience and comfort of driving.

[0088] Further, based on the above embodiments, please refer to Figure 5 In one of the exemplary embodiments provided in the present application, the above-mentioned action parameters include fog lamp color and fog lamp brightness. The specific implementation process of the above-mentioned vehicle fog lamp control method may also include step S510 and step S520, which are described in detail as follows:

[0089] Step S510, if the visibility is not lower than the preset visibility threshold, then determining the fog lamp brightness and fog lamp color based on the visibility and the current weather index;

[0090] Specifically, following the above-mentioned embodiment, if the visibility of the vehicle's surrounding environment is not lower than the preset visibility threshold and is still within the normal visibility range, if the visibility is higher than the threshold but close to the threshold, and the current meteorological index indicates a slight fog or precipitation trend, you can consider setting the fog lights to a lower brightness and using white or yellow lights (depending on vehicle design and regulatory requirements) to provide additional lighting and warnings.

[0091] Color selection: The choice of fog light color is based on the theory of light scattering. In low visibility conditions such as fog, rain, and snow, yellow light scatters less and has stronger penetration. Therefore, the scattering coefficient of different colors of light can be calculated by the following formula, and the color with the smallest scattering coefficient is selected as the fog light color.

[0092]

[0093] Where σ(λ) is the scattering coefficient of light with wavelength λ, Q s is the scattering cross section.

[0094] Brightness adjustment: The brightness of fog lights should be adjusted according to visibility to avoid glare and affect other drivers' vision. Brightness adjustment can be done using the following formula:

[0095]

[0096] Where B is the actual brightness of the fog lamp, B max is the maximum brightness limit, V is the current visibility, and V ref is the reference visibility, B ref is the reference brightness.

[0097] Step S520: If the visibility is lower than the preset visibility threshold, road information is obtained based on the V2X message to determine the target parking position of the vehicle based on the road information.

[0098] When visibility is lower than the preset visibility threshold, road conditions become complicated and fog lights are required to provide additional lighting and warning. However, in this case, if visibility is extremely low, the safe parking of the vehicle may also need to be considered. Therefore, road information can be obtained based on V2X messages. Through V2X communication technology, the vehicle can receive real-time road information from the roadside unit (RSU), other vehicles or traffic management center, where this information may include road congestion, accident reports, emergency parking area location, safe avoidance routes, etc. The vehicle then analyzes this information, especially the part related to the current location and driving direction, to determine a suitable target parking location. Among them, the target parking location can give priority to emergency parking areas or roadside safety areas as parking locations. If these areas are not available, you should look for areas with a wide view, away from traffic flow and without affecting the driving of other vehicles. When determining the parking location, you also need to consider factors such as the distance between the vehicle and the edge of the road, the slope, and the road surface conditions to ensure that the vehicle can be parked safely.

[0099] In this embodiment, the brightness and color of the fog lamps are accurately adjusted according to real-time visibility and current meteorological indices (such as humidity, temperature, etc.), which will not cause excessive light pollution, but also ensure good lighting within the driver's field of vision, thereby improving driving safety. In the case of low visibility, the use of V2X technology to plan a suitable parking location in advance can reduce the driving risks caused by low visibility.

[0100] Further, based on the above embodiments, please refer to Figure 6 In one of the exemplary embodiments provided in the present application, the above-mentioned action parameters also include a fog lamp light mode, and the specific implementation process of the above-mentioned vehicle fog lamp control method may also include steps S610 to S630, which are described in detail as follows:

[0101] Step S610, determining a distance value between the vehicle and an adjacent vehicle based on the V2X message;

[0102] Step S620, obtaining the vehicle speed corresponding to the vehicle, so as to determine the flashing frequency and flashing duration of the fog lamp based on the vehicle speed and the distance value;

[0103] Step S630: determining the fog lamp mode based on the flashing frequency and the flashing duration.

[0104] Specifically, the distance value between the vehicle and the adjacent vehicle on the same road section can be determined according to the V2X message sent by the roadside equipment, wherein the distance value between the vehicle and the adjacent vehicle on the same road section can be determined according to the V2X status information reported by the adjacent vehicle on the same road section in the V2X message, and then, the flashing frequency and flashing duration of the fog lights of the vehicle can be determined according to the obtained distance value, wherein, if the distance value between the vehicle and the adjacent vehicle on the same road section is smaller, the flashing frequency and the flashing duration will be greater, and vice versa. Of course, the flashing frequency and the flashing duration of the fog lights of the vehicle can also be adjusted in a step-by-step manner according to the distance value, and this embodiment does not impose any limitation on this.

[0105] Exemplarily, the vehicle receives broadcast messages from other vehicles and infrastructure through V2X communication technology. These messages contain key information such as the vehicle's location, speed, and direction. Using this information, the vehicle can calculate the relative position and distance between itself and adjacent vehicles. The specific calculation may involve a variety of technologies such as triangulation, time difference measurement (such as TDOA), or direct location information exchange. Once the distance to the adjacent vehicle is determined, the flashing frequency and flashing duration of the fog lights can be adjusted according to preset rules or algorithms in combination with the corresponding vehicle speed of the vehicle itself. These rules can be designed based on safety considerations, for example: the closer the distance, the higher the flashing frequency: when it is detected that the distance to a certain vehicle is close, in order to increase the visual warning effect, the vehicle can automatically increase the flashing frequency of the fog lights to alert the driver. The flashing duration is adjusted according to the speed: on the highway, due to the high speed of the vehicle, in order to ensure that the driver has enough time to react, the duration of each flash can be extended, while when driving at a low speed or parking, the flashing duration can be shortened.

[0106] In addition, in foggy weather or conditions of low visibility, the flashing frequency and brightness of the fog lights can be increased, thereby improving vehicle visibility and reducing the risk of traffic accidents. When driving at high speeds, the flashing frequency and duration can be adjusted to ensure clear identification even at long distances, improving driving safety. In addition, on roads with low visibility and congestion, the flashing of the fog lights can be adjusted to remind surrounding vehicles to keep a safe distance and avoid rear-end collisions.

[0107] Further, based on the above embodiments, please refer to Figure 7 In one of the exemplary embodiments provided in the present application, the specific implementation process of the above vehicle fog lamp control method may further include step S710 and step S720, which are described in detail as follows:

[0108] Step S710, determining actual state information corresponding to the vehicle based on the fog lamp control strategy;

[0109] Step S720: Send a status V2X message to the roadside device based on the actual status information, so that the roadside device obtains a fog light reference control strategy corresponding to the vehicle based on the status V2X message.

[0110] Specifically, the actual status information of the vehicle can be determined according to the fog light control strategy of the vehicle, wherein the actual status information includes the current weather type, visibility, the color of the fog lights of the vehicle, the brightness of the fog lights, the flashing frequency of the fog lights, the flashing duration of the fog lights, and the identity identification corresponding to the vehicle, the location information of the vehicle, the speed of the vehicle, the acceleration of the vehicle, the steering angle of the vehicle, the direction of the vehicle and other key information. Then, a status V2X message sent to the roadside device can be generated according to the actual status information of the vehicle, so that the roadside device can obtain the fog light reference control strategy corresponding to the vehicle according to the status V2X message sent by the vehicle, and send the fog light reference control strategy to the other vehicles in the corresponding road section of the roadside device, so that the other vehicles can adjust their corresponding fog light control strategies according to the fog light reference control strategy of the vehicle.

[0111] In addition, in some feasible embodiments, in order to ensure the timeliness and accuracy of the vehicle's real-time status information, a status V2X message can be sent to the roadside device when a key status in the vehicle's real-time status information changes, or the vehicle's status V2X message can be broadcast to the vehicles on the road section corresponding to the roadside device. In addition, considering the network bandwidth and server load, data compression and summary technology can also be used to reduce the amount of uploaded data.

[0112] In this embodiment, through V2X technology, the vehicle can send its fog light status and other key information, such as location, speed, etc., to the roadside equipment in real time. After receiving this information, the roadside equipment can make a comprehensive judgment and make corresponding traffic management decisions to avoid traffic accidents. In addition, adjacent vehicles on the same road section can obtain the fog light control strategy corresponding to the vehicle as a reference fog light control strategy, which can improve the accuracy and efficiency of the fog light control strategy of adjacent vehicles.

[0113] Further, based on the above embodiment, please refer to Figure 8 In one of the exemplary embodiments provided in the present application, the specific implementation process of the above vehicle fog lamp control method may further include step S810 and step S820, which are described in detail as follows:

[0114] Step S810, generating lighting request information for roadside equipment based on the fog lamp control strategy;

[0115] Step S820: Send the lighting request information to the roadside equipment, so that the roadside equipment adjusts the lighting intensity based on the lighting request information.

[0116] Specifically, the lighting request information for the roadside equipment can be determined based on relevant factors such as the weather type and visibility of the vehicle's surrounding environment, the brightness of the vehicle's fog lights, the color of the fog lights, the flashing frequency of the fog lights, and the flashing duration of the fog lights, and the lighting request information can be sent to the roadside equipment, so that the roadside equipment can adjust the lighting intensity of the street lamp based on the lighting request information, wherein the street lamp can be integrated with the roadside equipment, or it can be an independent street lamp connected to the roadside equipment.

[0117] For example, it is necessary to analyze the current traffic environment and weather conditions to determine whether it is necessary to coordinate lighting with roadside equipment. For example, in foggy days or at night when visibility is low, increasing the lighting intensity of roadside equipment can significantly improve road visibility and reduce the risk of traffic accidents. According to the execution results of the fog light control strategy (such as whether the vehicle has turned on the fog lights, the visibility of the surrounding environment, etc.), the vehicle can generate lighting request information for the roadside equipment, which may include: the road section or area for which the lighting intensity is requested to be adjusted; the specific requirements for the lighting intensity (such as enhancement, reduction or maintenance); the validity period of the request (such as until the fog dissipates or the day breaks). The generated lighting request information is encapsulated into a standard V2X message format. These messages need to contain sufficient identification information to ensure that the roadside equipment can correctly identify and respond to requests from specific vehicles. At the same time, the message may also contain encryption and authentication mechanisms to ensure the security and integrity of the information. After receiving the lighting request information from the vehicle, the roadside equipment will parse and verify it. Once the request is confirmed to be valid, the roadside equipment will adjust the lighting intensity of the corresponding road section or area according to the information in the request. This may involve adjusting the brightness of smart street lights, changing lighting modes, or starting other lighting equipment. After adjusting the lighting intensity, the roadside equipment can send feedback messages to the vehicle through V2X communication to inform the results of the lighting adjustment. At the same time, the system can also collect feedback information and traffic flow data from multiple vehicles to evaluate the actual effect of the lighting adjustment and further optimize the fog lamp control strategy and lighting coordination mechanism as needed.

[0118] In this embodiment, the fog lamp control strategy is used to generate lighting request information for roadside equipment, and the roadside equipment can adjust its lighting intensity in real time to adapt to different weather and visibility conditions, improve road visibility, and improve the driver's recognition ability, thereby reducing traffic accidents caused by poor visibility.

[0119] Fig. 99 is a simplified flowchart of vehicle fog light control in an exemplary application scenario. In the application scenario shown in 9, by acquiring environmental information around the vehicle, wherein the environmental information includes environmental image information and laser radar data collected in the environment, the current meteorological index is determined based on the environmental image information and the laser radar data; wherein the current meteorological index includes weather type and visibility, and then, if the visibility is not lower than the preset visibility threshold, the fog light brightness and fog light color are determined based on visibility and the current meteorological index; if the visibility is lower than the preset visibility threshold, the V2X message sent by the roadside equipment is received, and the fog light reference control strategy corresponding to the adjacent vehicle is obtained based on the V2X message; and the road information is obtained based on the V2X message to determine the target parking position of the vehicle based on the road information. Based on the V2X message, the current geographic information and the historical meteorological data corresponding to the current geographic information are obtained; the predicted meteorological information is determined based on the historical meteorological data, the current geographic information and the environmental image information; and the fog light control strategy is corrected based on the predicted meteorological information. For the detailed implementation process, please refer to the records in the aforementioned embodiments, which will not be repeated here.

[0120] Fig.10 is a block diagram of a vehicle fog lamp control device shown in an exemplary embodiment of the present application. The device can be applied to Figure 1 The implementation environment shown is specifically configured in the intelligent terminal 110. The device may also be applicable to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment applicable to the device.

[0121] like Fig.10 As shown, the exemplary vehicle fog light control device 1000 includes: an acquisition module 1010, used to acquire environmental information, the environmental information including environmental image information and laser radar data; a determination module 1020, used to determine the current weather index based on the environmental image information and the laser radar data; a receiving module 1030, used to receive the V2X message sent by the roadside equipment, and obtain the fog light reference control strategy corresponding to the adjacent vehicle based on the V2X message; a control module 1040, used to determine the vehicle's fog light control strategy based on the fog light reference control strategy and the current weather index.

[0122] According to one aspect of an embodiment of the present application, the above-mentioned vehicle fog lamp control device also includes: a data acquisition module, used to acquire current geographic information and historical meteorological data corresponding to the current geographic information based on V2X messages; a prediction module, used to determine predicted meteorological information based on historical meteorological data, current geographic information and environmental image information; a correction module, used to correct the fog lamp control strategy based on the predicted meteorological information.

[0123] According to one aspect of an embodiment of the present application, the above-mentioned vehicle fog lamp control device also includes: an action determination module, used to determine the action parameters of the fog lamp based on weather type and visibility; a regularization processing module, used to regularize the action parameters to obtain corrected action parameters; a strategy correction module, used to obtain a fog lamp control strategy based on the corrected action parameters.

[0124] According to one aspect of an embodiment of the present application, the above-mentioned vehicle fog lamp control device also includes: a fog lamp determination module, which is used to determine the brightness and color of the fog lamp based on the visibility and the current weather index if the visibility is not lower than the preset visibility threshold; a parking position determination module, which is used to obtain road information based on the V2X message if the visibility is lower than the preset visibility threshold, so as to determine the target parking position of the vehicle based on the road information.

[0125] According to one aspect of an embodiment of the present application, the above-mentioned control module 1040 is also used to determine the distance value between the vehicle and the adjacent vehicle based on the V2X message; obtain the vehicle speed corresponding to the vehicle to determine the flashing frequency and flashing duration of the fog lights based on the vehicle speed and the distance value; and determine the fog light mode based on the flashing frequency and flashing duration.

[0126] According to one aspect of an embodiment of the present application, the above-mentioned vehicle fog light control device also includes: a state determination module, which is used to determine the actual state information corresponding to the vehicle based on the fog light control strategy; a message sending module, which is used to send a state V2X message to the roadside equipment based on the actual state information, so that the roadside equipment obtains the fog light reference control strategy corresponding to the vehicle based on the state V2X message.

[0127] According to one aspect of an embodiment of the present application, the above-mentioned message sending module is also used to generate lighting request information for roadside equipment based on the fog lamp control strategy; and send the lighting request information to the roadside equipment so that the roadside equipment adjusts the lighting intensity based on the lighting request information.

[0128] It should be noted that the vehicle fog light control device provided in the above embodiment and the vehicle fog light control method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In actual application, the vehicle fog light control device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0129] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the electronic device implements the vehicle fog light control method provided in the above-mentioned embodiments.

[0130] Fig.11 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Fig.11 The computer system 1100 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0131] like Fig.11 As shown, the computer system 1100 includes a central processing unit (CPU) 1101, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1102 or the program loaded from the storage part 1108 to the random access memory (RAM) 1103, such as executing the method described in the above embodiment. In the RAM 1103, various programs and data required for system operation are also stored. The CPU 1101, the ROM 1102 and the RAM 1103 are connected to each other through the bus 1104. The input / output (I / O) interface 1105 is also connected to the bus 1104.

[0132] The following components are connected to the I / O interface 1105: an input section 1106 including a keyboard, a mouse, etc.; an output section 1107 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1108 including a hard disk, etc.; and a communication section 1109 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the I / O interface 1105 as needed. A removable medium 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1110 as needed so that a computer program read therefrom is installed into the storage section 1108 as needed.

[0133] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 1109, and / or installed from a removable medium 1111. When the computer program is executed by a central processing unit (CPU) 1101, various functions defined in the system of the present application are executed.

[0134] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0135] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0136] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0137] Another aspect of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the vehicle fog lamp control method as described above is implemented. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0138] Another aspect of the present application also provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the vehicle fog lamp control method provided in each of the above embodiments.

[0139] The above content is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. A person skilled in the art can easily make corresponding changes or modifications based on the main concept and spirit of the present application. Therefore, the scope of protection of the present application shall be based on the scope of protection required by the claims.

Claims

1. A vehicle fog lamp control method, characterized in that: include: Acquiring environmental information, wherein the environmental information includes environmental image information and laser radar data; Determine a current weather index based on the environmental image information and the laser radar data; Receive a V2X message sent by a roadside device, and obtain a fog light reference control strategy corresponding to an adjacent vehicle based on the V2X message; A fog lamp control strategy for the vehicle is determined based on the fog lamp reference control strategy and the current weather index.

2. The method according to claim 1, characterized in that The method further comprises: Acquire current geographic information and historical meteorological data corresponding to the current geographic information based on the V2X message; Determining forecasted meteorological information based on the historical meteorological data, the current geographic information and the environmental image information; The fog lamp control strategy is modified based on the predicted weather information.

3. The method according to claim 1, characterized in that The current meteorological index includes weather type and visibility, and the method further includes: determining an operation parameter of the fog lamp based on the weather type and the visibility; Regularizing the action parameters to obtain corrected action parameters; The fog lamp control strategy is obtained based on the corrected action parameters.

4. The method according to claim 3, characterized in that The action parameters include fog lamp color and fog lamp brightness, and the method further includes: If the visibility is not lower than a preset visibility threshold, determining the fog lamp brightness and the fog lamp color based on the visibility and the current weather index; If the visibility is lower than a preset visibility threshold, road information is obtained based on the V2X message to determine a target parking position of the vehicle based on the road information.

5. The method according to claim 4, characterized in that The action parameter also includes a fog lamp mode, and the method further includes: Determine a distance value between the vehicle and an adjacent vehicle based on the V2X message; Acquire the vehicle speed corresponding to the vehicle, so as to determine the flashing frequency and flashing duration of the fog lamp based on the vehicle speed and the distance value; The fog lamp light mode is determined based on the flashing frequency and the flashing duration.

6. The method according to claim 1, characterized in that The method further comprises: Determining actual status information corresponding to the vehicle based on the fog lamp control strategy; A status V2X message is sent to the roadside device based on the actual status information, so that the roadside device obtains a fog light reference control strategy corresponding to the vehicle based on the status V2X message.

7. The method according to claim 6, characterized in that The method further comprises: generating lighting request information for the roadside equipment based on the fog lamp control strategy; The lighting request information is sent to the roadside device, so that the roadside device adjusts the lighting intensity based on the lighting request information.

8. A vehicle fog lamp control device, characterized in that: The device comprises: An acquisition module, used to acquire environmental information, wherein the environmental information includes environmental image information and laser radar data; A determination module, configured to determine a current meteorological index based on the environmental image information and the laser radar data; A receiving module, used to receive a V2X message sent by a roadside device, and obtain a fog lamp reference control strategy corresponding to an adjacent vehicle based on the V2X message; A control module is used to determine a fog lamp control strategy of the vehicle based on the fog lamp reference control strategy and the current weather index.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the electronic device to implement the vehicle fog lamp control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by a processor of a computer, the computer is caused to execute the vehicle fog lamp control method according to any one of claims 1 to 7.

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