CN118163704A

CN118163704A - Vehicle fog lamp regulation and control method, device and equipment and vehicle

Info

Publication number: CN118163704A
Application number: CN202410368595.XA
Authority: CN
Inventors: 陆小龙; 王国强
Original assignee: Great Wall Motor Co Ltd
Current assignee: Great Wall Motor Co Ltd
Priority date: 2024-03-28
Filing date: 2024-03-28
Publication date: 2024-06-11

Abstract

The application provides a vehicle fog lamp regulating and controlling method, device and equipment and a vehicle, and belongs to the technical field of vehicles, wherein the vehicle fog lamp regulating and controlling method comprises the following steps: acquiring road condition information of a vehicle, and determining whether the road condition information is severe road condition information; acquiring weather information corresponding to the current position of the vehicle, and determining whether the weather information is severe weather information or not; and controlling the fog lamp to be turned on in response to the determination of at least one of the severe road condition information and the severe weather information. According to the vehicle fog lamp regulation and control method, the fog lamp is controlled to be turned on when the acquired information is at least one of severe road condition information and severe weather information, so that potential safety hazards caused by forgetting to turn on the fog lamp in the running process of a user can be avoided, and the intelligent experience and man-machine interaction degree of the vehicle for the user are improved.

Description

Vehicle fog lamp regulation and control method, device and equipment and vehicle

Technical Field

The application relates to the technical field of vehicles, in particular to a method, a device and equipment for regulating and controlling a fog lamp of a vehicle and the vehicle.

Background

Along with the development of intelligent control technology, the demands of people for intelligent control are also higher and higher, and the demands are diversified. At present, automobiles become an indispensable part of national life, and intelligent development of automobiles is also very rapid. The intelligent reminding of the vehicle and the interaction between the vehicle and the user side are more concerned by the user than the intelligent use of the current mature practical use.

In the related art, because the large fog weather is more in autumn and winter, for some drivers with insufficient driving experience, the drivers can forget to turn on the fog lamp when driving in the fog weather, and in addition, a great part of drivers are unfamiliar with how to turn on the fog lamp, so that fewer vehicles are used for turning on the fog lamp in the large fog weather, and the driving safety in the fog weather is seriously affected.

Disclosure of Invention

Accordingly, the present application is directed to a method, apparatus, and device for controlling a fog lamp of a vehicle, and a vehicle, which solve the technical problem that a driver forgets to turn on the fog lamp to generate a hidden trouble in driving in the related art.

Based on the above object, the present application provides a method for controlling a fog lamp of a vehicle, comprising:

acquiring road condition information of a vehicle, and determining whether the road condition information is severe road condition information;

acquiring weather information corresponding to the current position of the vehicle, and determining whether the weather information is severe weather information or not;

And controlling the fog lamp to be turned on in response to the fact that the acquired information is at least one of severe road condition information and severe weather information.

Further, the obtaining the road condition information of the vehicle includes:

acquiring a visual area of a vehicle, wherein the visual area comprises a front moving target image and a lane line image;

Determining the farthest target distance between the current position of the vehicle and the moving target image in the visual area, and determining the farthest boundary distance of the lane line image which can be acquired;

and determining whether the road condition information of the vehicle is severe road condition information according to the furthest target distance and/or the furthest boundary distance.

Further, determining whether the traffic information of the vehicle is severe traffic information according to the farthest target distance and/or the farthest boundary distance includes:

determining that the road condition information of the vehicle is severe road condition information in response to determining that the farthest target distance is not greater than a first threshold value; and/or the number of the groups of groups,

And determining that the road condition information of the vehicle is severe road condition information in response to determining that the furthest boundary distance is not greater than the first threshold.

Further, the obtaining weather information corresponding to the current position of the vehicle includes:

determining a current position of the vehicle, and determining a highway target nearest to the vehicle according to the current position;

In response to determining that the distance between the current position of the vehicle and the expressway target is greater than a second threshold value, weather data of the current position of the vehicle is obtained, and whether the weather information of the current position of the vehicle is severe weather information or not is determined according to the weather data;

and responding to the fact that the distance between the current position of the vehicle and the expressway target is not larger than a second threshold value, acquiring real-time monitoring data of the expressway target, and determining whether weather information corresponding to the current position of the vehicle is bad weather information according to the real-time monitoring data.

Further, the real-time monitoring data comprise common driving data, forbidden data and speed limit data caused by weather; the obtaining weather information corresponding to the current position of the vehicle further includes:

in response to determining that the weather data includes any one of rain, snow, fog, haze and sand, determining that the weather information is bad weather information;

And determining that the weather information is bad weather information in response to determining that the real-time monitoring data comprises forbidden data or speed limit data.

Further, the acquiring weather data of the current position of the vehicle includes:

Determining weather data of the current position of the vehicle through a background server; and/or the number of the groups of groups,

Sensing data of the periphery of the vehicle is detected through sensing equipment of the vehicle, weather data of the current position of the vehicle is determined according to the sensing data, and the sensing data comprise visibility, haze, temperature and humidity and rainfall data.

Further, the controlling the fog lamp to be turned on includes:

outputting fog lamp on reminding information when the fog lamp is detected to be in the current off state;

after receiving a fog lamp starting instruction fed back by a user, acquiring the starting and stopping state of the dipped headlight;

Controlling the fog lamp to be turned on in response to determining that the dipped headlight is in the on state;

in response to determining that the low beam is in an off state, the low beam and fog light are sequentially turned on.

Based on the same inventive concept, the application also provides a vehicle fog lamp regulating device, which is used for executing the vehicle fog lamp regulating method according to any one of the above steps, comprising:

The road condition acquisition module is configured to acquire road condition information of the vehicle and determine whether the road condition information is severe road condition information or not

The weather acquisition module is configured to acquire weather information corresponding to the current position of the vehicle and determine whether the weather information is severe weather information or not;

and the execution module is configured to control the fog lamp to be turned on in response to the determination of at least one of the severe road condition information and the severe weather information.

Based on the same inventive concept, the present disclosure also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable by the processor, the processor implementing the method as described above when executing the computer program.

Based on the same inventive concept, the present disclosure also provides a vehicle including the regulation and control device and the electronic device as described above.

According to the vehicle fog lamp regulation and control method provided by the application, the road condition information and the weather information corresponding to the current position of the vehicle are obtained, when at least one of the severe road condition information and the severe weather information exists in the obtained information, the fact that the vehicle is in a severe driving environment currently is proved, the fog lamp is controlled to be just started, the supervision can be enhanced, the safety warning is enhanced, the rear-end collision of the rear vehicle is prevented, in addition, because the manual intervention of the on-off operation of the fog lamp by a driver is not needed in the process, the situation that the driver forgets to start the fog lamp in the severe driving environment is avoided, and the driving safety and the intelligent interaction degree of people and vehicles are improved.

Drawings

In order to more clearly illustrate the technical solutions of the present application or related art, the drawings that are required to be used in the description of the embodiments or related art will be briefly described below, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort to those of ordinary skill in the art.

FIG. 1 is a schematic diagram illustrating steps of a method for controlling a fog lamp of a vehicle according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a vehicle fog lamp control device according to an embodiment of the present application;

fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the application.

Detailed Description

The present application will be further described in detail below with reference to specific embodiments and with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present application more apparent.

It should be noted that unless otherwise defined, technical or scientific terms used in the embodiments of the present application should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present application belongs. The terms "first," "second," and the like, as used in embodiments of the present application, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.

One or more embodiments of the present application provide a method for controlling a fog lamp of a vehicle, which is used for solving the problem that a driver forgets to turn on the fog lamp to generate a driving hidden trouble in the related art, and the following detailed description of the embodiments of the present application is provided with reference to the accompanying drawings.

As shown in fig. 1, the method for regulating and controlling the fog lamp of the vehicle comprises the following steps:

Step 100, acquiring road condition information of a vehicle, and determining whether the road condition information is severe road condition information;

step 200, obtaining weather information corresponding to the current position of the vehicle, and determining whether the weather information is severe weather information or not;

And 300, controlling the fog lamp to be turned on in response to the fact that the acquired information is at least one of severe road condition information and severe weather information.

According to the vehicle fog lamp regulation and control method disclosed by the application, the road condition information of the vehicle and the weather information corresponding to the current position are obtained, when at least one of the severe road condition information and the severe weather information exists in the obtained information, the fact that the vehicle is currently in a severe running environment is proved, the fog lamp is controlled to be started, the visibility can be improved, the safety warning is enhanced, rear-end collision of the rear vehicle is prevented, in addition, because the driver does not need to manually interfere the on-off operation of the fog lamp in the process, the situation that the driver forgets to start the fog lamp in the severe running environment is avoided, and the running safety and the intelligent interaction degree of people and vehicles are improved.

It should be noted that, the execution body in the embodiment of the present application may be a whole vehicle control unit (Electronic Control Unit, ECU) installed on a vehicle, where the whole vehicle control unit obtains the road condition information of the vehicle through the relevant component, then determines whether the road condition information is severe road condition information, obtains the weather information of the vehicle through the relevant component, then determines whether the weather information is severe weather information, and sends a control signal to the fog lamp controller to control the fog lamp to turn on when it is determined that at least one of the severe road condition information and the severe weather information is obtained. Here, the fog lamp controller may be integrated in a vehicle body control module (Body Control Module, BCM) to control the fog lamp to be turned on and off by analyzing a control signal of the whole vehicle control unit.

In some embodiments, in step 100, the obtaining the road condition information of the vehicle includes:

step 101, a visual area of a vehicle is acquired, wherein the visual area comprises a front moving target image and a lane line image.

In step 101, the visual area of the vehicle is obtained by a camera set mounted on the vehicle, and a plurality of sets of cameras are typically disposed on the vehicle at different positions, for example, a front view camera mounted on a roof middle area, a top middle area of a windshield, or integrated in a rearview mirror. The moving target image is generally a front vehicle, and when the moving target image in front is identified, the front camera can also adopt a multi-camera combined structure, such as a stereoscopic vision system (Stereo Vision System) or a look-around system, and depth information is generated by calculating parallax of images shot by the left camera and the right camera through matching of a plurality of cameras, so that the distance and the position of the front vehicle can be accurately identified.

In addition, for example, when the lane line image is identified, after the front-view camera acquires the visual area, the lane line in the visual area is classified and positioned by using a machine learning model in the related technology, such as a Convolutional Neural Network (CNN), after preprocessing, the trained model can directly predict the position of the lane line from the image, and then the distance between the lane line image and the vehicle is calculated by using a stereoscopic vision system (Stereo Vision System) or a look-around system.

Step 102, determining the farthest target distance between the current position of the vehicle and the moving target image in the visual area, and determining the farthest boundary distance between the lane line images which can be acquired.

In the above steps, the farthest target distance, specifically, the distance between the front moving target image farthest from the vehicle and the vehicle in the obtained visual area, is not the same as the farthest target distance actually obtained due to the influence of weather, and is smaller in the driving scene with lower visibility, so that whether the road condition information of the vehicle is severe road condition information is determined by the calculated farthest target distance.

Similarly, the furthest boundary distance refers to the distance between the end of the lane line image furthest from the vehicle along the length direction of the vehicle and the vehicle in the acquired visual area, and whether the road condition information of the vehicle is severe road condition information is determined through the calculated furthest boundary distance. The furthest boundary distance is the distance of the furthest lane line that the vehicle can detect, and is not the vehicle body spacing between the vehicle and the lane line in the width direction.

In the above embodiment, in addition to the acquisition of the vision area by using the front camera, the furthest target distance and the furthest boundary distance may be determined in combination with other detection components on the vehicle, and for example, detection components such as a millimeter wave radar, a laser radar, an ultrasonic sensor and the like are provided on the vehicle to determine, where in the acquired vision area, the detection components are used to assist in calculating the furthest target distance and the furthest boundary distance, so that the accuracy of the calculated furthest target distance and furthest boundary distance is further improved, and the actual determination of the visibility of the vehicle is based on the acquired vision area, that is, the larger the vision area range is, the larger the furthest target distance and furthest boundary distance is, the higher the visibility is, the smaller the vision area range is, and the smaller the furthest target distance and furthest boundary distance is, and the lower the visibility is.

Step 103, determining whether the road condition information of the vehicle is severe road condition information according to the furthest target distance and/or the furthest boundary distance. Here, step 103 specifically includes:

In step 103, the furthest target distance and the furthest boundary distance may be calculated at the same time, and when any one of the obtained furthest target distance and furthest boundary distance is greater than the first threshold, it is determined that the traffic information of the vehicle is bad traffic information. Here, the first threshold may be set according to an actual driving scenario, for example, the first threshold is set to 50m, that is, when any one of the farthest target distance and the farthest boundary distance is smaller than 50m, the visibility of the driving scenario of the vehicle is low, it is determined that the road condition information of the vehicle is bad road condition information, and the fog lamp is controlled to be turned on. Of course, the setting of the first threshold is merely illustrative, in order to enable the vehicle to turn on the fog lamp as soon as possible in the low-visibility driving environment, the observation range of the driver during driving is improved by utilizing the fog lamp, the setting of the first threshold may be correspondingly adjusted to be higher, and the first threshold may be set to 80m, for example, when any one of the farthest target distance and the farthest boundary distance is smaller than 80m, so as to control the fog lamp to be turned on.

The main factors affecting the range of the visual area are weather factors, such as rainy days, snowy days, haze weather, and sand weather; in addition, the low light environment at night or dawn dusk makes it difficult for the front-facing camera of the vehicle to capture sufficient image information, requiring assistance by infrared night vision techniques and active lighting. Therefore, in order to enable the driver to turn on the fog lamp as early as possible in the low-visibility driving environment in the night or dawn-dusk low-light environment, the fog lamp is used to increase the observation range of the driver during driving, and the first threshold value may be set to be correspondingly high, for example, the first threshold value may be set to 80m, that is, when any one of the farthest target distance and the farthest boundary distance is less than 80m, to control the fog lamp to be turned on.

As an alternative implementation manner, when no other moving target image exists in the running scene of the vehicle (such as a running scene with rare vehicles in front and smooth road conditions), the road condition information of the vehicle can be determined by calculating the farthest boundary distance, so that the calculation of the farthest target distance is omitted; or under the road condition that the lane lines are not obviously recognized (such as villages and towns national roads), the furthest boundary distance is not calculated, and the road condition information of the vehicle is determined by calculating the furthest target distance. For different driving scenes of the vehicle, the farthest target distance or the farthest boundary distance may be calculated separately with reference to the above manner.

In some embodiments of the present application, in step 200, the obtaining weather information corresponding to the current position of the vehicle includes:

Step 201, determining the current position of the vehicle, and determining the expressway target nearest to the vehicle according to the current position;

Step 202, in response to determining that the distance between the current position of the vehicle and the expressway target is greater than a second threshold value, weather data of the current position of the vehicle is obtained, and whether the weather information of the current position of the vehicle is severe weather information or not is determined according to the weather data;

Step 202', in response to determining that the distance between the current position of the vehicle and the expressway target is not greater than a second threshold, acquiring real-time monitoring data of the expressway target, and determining whether weather information corresponding to the current position of the vehicle is bad weather information according to the real-time monitoring data.

In the above step 201, the current position of the vehicle may be located by referring to the global positioning system, the mobile communication network location or the internet of vehicles technology in the related art, specifically, after determining the current position of the vehicle, searching the highway network within a certain distance around the vehicle according to the current position, and determining the expressway section or the expressway of the expressway section according to the searched highway network. The defined highway destination may be a highway toll station, a highway entrance or a normal road section of a highway.

In the above embodiment, the real-time monitoring data refers to weather notification conditions corresponding to the determined expressway target, and the exemplary vehicle control unit is networked through a cloud platform, obtains traffic information in real time through an integrated online map service, obtains the big fog forbidden information or the big fog speed limit information corresponding to the expressway target according to the traffic information, or connects the mobile phone with the vehicle system through protocols such as CarPlay and Android Auto, and synchronously transmits traffic management information of traffic management department software or WeChat applet on the mobile phone to the vehicle system.

The obtained real-time monitoring data comprises normal data which can normally run by the vehicle, forbidden data and speed limit data caused by weather, wherein the normal data refers to scene data which can freely run at high speed without any limitation, and the forbidden data and the speed limit data refer to data which can not pass or speed limit pass due to low visibility caused by haze, rainy and snowy weather, sand and dust weather and the like, and other scenes except speed limit or forbidden pass belong to the normal running data of the vehicle. The mobile phone page comprises a specific expressway target, a corresponding road section, a starting time, a forbidden direction or a diversion speed limiting requirement and the like.

In the step 202, the second threshold may be flexibly set according to the driving scenario, and, for example, the second threshold is 15km, that is, when the distance between the current position of the vehicle and the nearest highway target is less than or equal to 15km, the real-time monitoring data of the highway target has a smaller weather error with respect to the current position of the vehicle, and whether the weather information of the vehicle is bad weather may be determined by referring to the real-time monitoring data of the highway target. Because the high-precision equipment for detecting the visibility is usually installed on the expressway, for example, the haze detector, the detection precision of the expressway target to the foggy weather is higher, and through the arrangement, the weather error caused by judging the weather information by simply relying on the weather forecast can be avoided, so that the vehicle control unit can be convenient for more accurately judging whether the weather information is severe weather information or not.

In the step 202', when the distance between the current position of the vehicle and the nearest expressway target is greater than 15km, the real-time monitoring data of the expressway target has a larger weather error than the current position of the vehicle, and the weather in different areas is obviously different, and in this scenario, whether the weather information of the current position of the vehicle is severe weather information is determined according to the weather data by acquiring the weather data of the current position of the vehicle.

Further, the method for acquiring the weather data of the current position of the vehicle comprises the following steps:

In the above embodiment, the sensing device includes a temperature and humidity sensor, a rainfall sensor, a visibility sensor and the like mounted on the vehicle, and the sensing data is obtained by detecting various sensors, and the flatcar control unit receives the sensing data to determine weather data of the current position of the vehicle. The method of acquiring the weather data through the background server and determining the weather data through the sensing data detected by the sensing device can be performed simultaneously, the vehicle can continuously perform the action of acquiring the weather data of the current position of the vehicle, the acquired weather data is corrected in real time, and errors are reduced.

In some embodiments, obtaining weather information corresponding to a current location of the vehicle further includes:

The method for judging the weather data and the real-time monitoring data is provided, after the vehicle determines that the weather information is bad weather information, the fog lamp is controlled to be turned on so as to improve the visibility of a driver, and meanwhile, the rear vehicle is reminded of keeping the vehicle distance, so that the driving safety is guaranteed.

In the embodiment of the application, the severe weather information and the severe road condition information are the preconditions of judging whether the fog lamp needs to be turned on in parallel, that is, the whole vehicle control unit determines that the acquired information is the severe road condition information or the acquired information is the severe weather information, and the fog lamp needs to be turned on. Of course, in some embodiments, the obtaining of the road condition information of the vehicle and the obtaining of the weather information corresponding to the current position of the vehicle are performed synchronously, and the whole vehicle control unit can receive the corresponding road condition information and weather information and determine whether the vehicle is in bad road condition information or bad weather information.

As an alternative embodiment, acquiring weather information corresponding to the current position of the vehicle may be omitted, and whether the fog lamp needs to be turned on may be determined by the road condition information of the vehicle. Or the acquisition of the road condition information of the vehicle can be omitted, whether the vehicle is severe weather information or not is determined through the weather information corresponding to the current position of the vehicle, and whether the fog lamp needs to be started or not is judged. For example, when the vehicle runs on a rare road section of the vehicle such as a suburban village and a town, the vehicle does not exist in the visual area of the vehicle, and no obvious lane line image exists, and in the running scene, weather information corresponding to the current position of the vehicle can be acquired. For different driving scenes, the information actually acquired can also be changed correspondingly.

In some embodiments, in step 300, the step of controlling the fog light to turn on includes:

In the above steps, when the visibility is low, the fog lamp is turned on after the dipped headlight is turned on, so as to meet the corresponding running requirements of the country, and meanwhile, the running safety can be ensured.

In the above steps, the fog lamp on reminding information includes the reminding information popped up on the central control screen of the vehicle, or the reminding information is voice broadcast in the vehicle, for example, the pop window content or the voice content is "whether the fog lamp may need to be turned on in the current weather", after outputting the fog lamp on reminding, if receiving the on command fed back by the user, a control command for turning on the fog lamp is sent to the fog lamp controller, so as to turn on the fog lamp, if receiving the off command fed back by the user, no command is sent to the fog lamp controller, and the current fog lamp on reminding service can be turned off.

When the user inputs 'yes' through the vehicle display screen, a control instruction for turning on the fog lamp is sent to the fog lamp controller so as to turn on the fog lamp, and the user inputs 'no' through the vehicle display screen, so that the service is ended; or the vehicle recognizes that the user voice reply content is "turn on fog lamp", then sends a control instruction for turning on fog lamp to the fog lamp controller so as to turn on the fog lamp, and the vehicle recognizes that the user voice reply content is "do not turn on fog lamp", then the service is ended.

In some embodiments, the brightness of the fog lamp may be adjusted according to an actual driving scene, and the vehicle control unit controls the brightness of the fog lamp by adjusting the magnitude of the input fog lamp current, where the brightness of the fog lamp is inversely related to the farthest target distance and the farthest boundary distance in the driving scene where the fog lamp is started to drive, that is, the smaller the farthest target distance and the farthest boundary distance, the lower the visibility of the driving scene of the vehicle, and the higher the brightness of the fog lamp; the greater the furthest target distance and the furthest boundary distance, the higher the visibility of the vehicle driving scene, and the lower the brightness of the fog lamp. Of course, this setting is directed to the motorcycle type that fog lamp luminance can be adjusted, thereby adjusts fog lamp luminance voluntarily and adapts to the driving scene of different visibility.

It should be noted that, the method of the embodiment of the present application may be performed by a single device, for example, a computer or a server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the method of an embodiment of the present application, the devices interacting with each other to accomplish the method.

It should be noted that the foregoing describes some embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

As shown in fig. 2, based on the same inventive concept, the application also provides a vehicle fog lamp regulating device corresponding to the method of any embodiment.

The fog lamp regulation and control device includes:

A road condition acquisition module 1 configured to acquire road condition information of a vehicle and determine whether the road condition information is severe road condition information

A weather acquisition module 2 configured to acquire weather information corresponding to a current position of the vehicle and determine whether the weather information is bad weather information;

and an execution module 3 configured to control the fog lamp to be turned on in response to the determination of at least one of the severe road condition information and the severe weather information.

For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.

The device of the above embodiment is used for implementing the corresponding fog lamp regulation method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which is not described herein.

In some embodiments, the road condition acquisition module 1 includes:

an image acquisition unit configured to acquire a visual area of a vehicle, the visual area including a moving target image and a lane line image in front;

A distance calculating unit configured to determine a farthest target distance between a current position of the vehicle and the moving target image in the visual area, and determine a farthest boundary distance of the lane line image that can be acquired;

and the judging unit is configured to determine whether the road condition information of the vehicle is severe road condition information according to the furthest target distance and/or the furthest boundary distance.

In some embodiments, the weather acquisition module 2 includes:

a position acquisition unit configured to determine a current position of the vehicle, and determine a highway target nearest to the vehicle based on the current position;

The first computing unit is configured to respond to the fact that the distance between the current position of the vehicle and the expressway target is larger than a second threshold value, acquire weather data of the current position of the vehicle, and determine whether the weather information of the current position of the vehicle is bad weather information according to the weather data;

And the second calculation unit is configured to acquire real-time monitoring data of the expressway target in response to determining that the distance between the current position of the vehicle and the expressway target is not greater than a second threshold value, and determine whether weather information corresponding to the current position of the vehicle is severe weather information according to the real-time monitoring data.

Based on the same inventive concept, the application also provides an electronic device corresponding to the method of any embodiment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method for regulating and controlling the vehicle fog lamp according to any embodiment when executing the program.

Fig. 3 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 implement communication connections therebetween within the device via a bus 1050.

The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit ), a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), or one or more integrated circuits, etc. for executing related programs to implement the technical solutions provided in the embodiments of the present disclosure.

The Memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage, dynamic storage, etc. Memory 1020 may store an operating system and other application programs, and when the embodiments of the present specification are implemented in software or firmware, the associated program code is stored in memory 1020 and executed by processor 1010.

The input/output interface 1030 is used to connect with an input/output module for inputting and outputting information. The input/output modules may be configured as components in the device (not shown in fig. 2) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.

Communication interface 1040 is used to connect communication modules (not shown in fig. 2) to enable communication interactions of the present device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).

Bus 1050 includes a path for transferring information between components of the device (e.g., processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).

It should be noted that although the above-described device only shows processor 1010, memory 1020, input/output interface 1030, communication interface 1040, and bus 1050, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.

The electronic device of the foregoing embodiment is configured to implement the corresponding method for controlling a fog lamp of a vehicle in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which is not described herein.

Based on the same inventive concept, the present application also provides a non-transitory computer readable storage medium corresponding to the method of any embodiment described above, wherein the non-transitory computer readable storage medium stores computer instructions for causing the computer to execute the method for controlling a vehicle fog lamp according to any embodiment described above.

The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.

The storage medium of the foregoing embodiments stores computer instructions for causing the computer to execute the fog lamp regulation method according to any one of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein.

Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the application (including the claims) is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the application, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the application as described above, which are not provided in detail for the sake of brevity.

Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the embodiments of the present application. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the embodiments of the present application, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the present application are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.

While the application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

The present embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, and the like, which are within the spirit and principles of the embodiments of the application, are intended to be included within the scope of the application.

Claims

1. A vehicle fog lamp regulation method, comprising:

2. The method for adjusting and controlling a fog lamp of a vehicle according to claim 1, wherein the step of obtaining the road condition information of the vehicle comprises the steps of:

Acquiring a visual area in front of a vehicle, wherein the visual area comprises a front moving target image and a lane line image;

Determining the farthest target distance between the current position of the vehicle and the moving target image, and determining the farthest boundary distance of the lane line image which can be acquired;

3. The vehicle fog lamp control method according to claim 2, wherein determining whether the traffic information of the vehicle is bad traffic information according to the farthest target distance and/or the farthest boundary distance comprises:

4. The method for adjusting and controlling a fog lamp of a vehicle according to claim 1, wherein the step of obtaining weather information corresponding to a current position of the vehicle comprises:

5. The method for controlling the fog lamp of the vehicle according to claim 4, wherein the real-time monitoring data comprises normal driving data, forbidden data and speed limit data caused by weather; the obtaining weather information corresponding to the current position of the vehicle further includes:

6. The method for adjusting and controlling a fog lamp of a vehicle according to claim 4, wherein the step of acquiring weather data of a current position of the vehicle comprises:

7. The vehicle fog light modulation method of claim 1, wherein the controlling fog light on comprises:

8. A vehicle fog light control apparatus for performing the vehicle fog light control method according to any one of claims 1 to 7, comprising:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the vehicle fog light regulation method of any one of claims 1 to 8 when the program is executed.

10. A vehicle comprising the vehicle fog lamp control apparatus according to claim 8 and the electronic device according to claim 9.