Vehicle monitoring method, vehicle monitoring system and vehicle

Abstract

The present application provides a vehicle monitoring method, a vehicle monitoring system and a vehicle. The vehicle monitoring method includes: obtaining the concentration of fog in front of the vehicle; obtaining the distance from the fog in front of the vehicle to the vehicle; verifying the obtained concentration of fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle with the calibrated concentration of fog in front of the vehicle and the calibrated distance from fog in front of the vehicle to the vehicle stored in a database; and determining whether to turn on the fog lights and / or hazard warning lights based on the verification result. The present application can monitor the fog situation in front of the vehicle more accurately and timely by obtaining the concentration of fog in front of the vehicle and the distance from fog in front of the vehicle to the vehicle, and verifying them with the calibrated concentration of fog in front of the vehicle and the calibrated distance from fog in front of the vehicle to the vehicle stored in a database, thereby improving driving safety.

Description

Technical Field

[0001] The present application relates to the field of vehicle monitoring, and in particular to a vehicle monitoring method, a vehicle monitoring system, and a vehicle. Background Art

[0002] Vehicles often encounter heavy fog while driving. At this time, the vehicle needs to slow down and turn on the fog lights or hazard warning lights to ensure driving safety.

[0003] Vehicles need to monitor road conditions ahead and activate fog lights or hazard warning lights in advance if they encounter heavy fog. However, accurate and timely monitoring of fog ahead is often not possible, causing inconvenience and safety risks to drivers. Summary of the Invention

[0004] The present application provides a vehicle monitoring method, a vehicle monitoring system and a vehicle, which can monitor the fog situation ahead of the vehicle more accurately and timely.

[0005] The present application provides a vehicle monitoring method, comprising:

[0006] Obtain the concentration of fog ahead of the vehicle;

[0007] Obtaining the distance between the fog in front of the vehicle and the vehicle;

[0008] Verifying the obtained concentration of the fog ahead of the vehicle and the distance from the fog ahead of the vehicle to the vehicle with the calibrated concentration of the fog ahead of the vehicle and the calibrated distance from the fog ahead of the vehicle to the vehicle stored in a database; and

[0009] Determine whether to turn on the fog lights and / or hazard warning lights based on the verification result.

[0010] Optionally, obtaining the concentration of fog ahead of the vehicle includes:

[0011] emitting light waves of different wavelengths into the fog ahead of the vehicle, the light waves of different wavelengths comprising a light wave of a first wavelength and a light wave of a second wavelength, wherein the first wavelength is greater than the second wavelength;

[0012] Receive light waves reflected from the fog in front of the vehicle;

[0013] detecting the air humidity of the external environment in which the vehicle is located;

[0014] The concentration of the fog ahead of the vehicle is obtained based on the wavelength type of the reflected light wave and the detected air humidity.

[0015] Optionally, obtaining the concentration of fog ahead of the vehicle based on the wavelength type of the reflected light wave and the detected air humidity includes:

[0016] When the wavelength types of the reflected light waves only include light waves of the first wavelength, it is determined that fog exists ahead of the vehicle; and

[0017] When it is determined that fog exists ahead of the vehicle, the concentration of the fog ahead is obtained according to the detected air humidity.

[0018] Optionally, obtaining the concentration of the fog ahead of the vehicle according to the detected air humidity includes:

[0019] According to the change of air humidity, the resistance change of the humidity-sensitive resistor in the air humidity detection module is obtained;

[0020] Outputting different voltage drops based on the resistance change of the humidity-sensitive resistor; and

[0021] The concentration of the fog ahead of the vehicle is obtained according to the output voltage drop and based on a corresponding relationship between the calibrated voltage drop stored in the database and the calibrated concentration of the fog ahead of the vehicle.

[0022] Optionally, obtaining the distance from the fog in front of the vehicle to the vehicle includes:

[0023] Obtain the time difference between the transmitted light wave and the received light wave;

[0024] Obtaining the speed of the vehicle when transmitting and receiving light waves;

[0025] The distance from the fog in front of the vehicle to the vehicle is obtained based on the time difference and the vehicle speed when the light wave is emitted and received.

[0026] Optionally, determining whether to turn on fog lights and / or hazard warning lights based on the verification result includes:

[0027] When the acquired concentration of the fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle match the calibrated concentration of the fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in the database, a light-on signal is sent to the vehicle body controller; and

[0028] The vehicle body controller drives the fog lights and / or the hazard warning lights to turn on after receiving the light-on signal.

[0029] The present application also provides a vehicle monitoring system, comprising a processor and a memory, wherein the processor is used to execute the vehicle monitoring method described above, and the memory is used to store the data in the database.

[0030] Optionally, the vehicle monitoring system further includes:

[0031] a light wave transmitting module, communicatively connected to the processor, for transmitting light waves of different wavelengths into the fog in front of the vehicle, the light waves of different wavelengths including a light wave of a first wavelength and a light wave of a second wavelength, wherein the first wavelength is greater than the second wavelength;

[0032] a light wave receiving module, communicatively connected to the processor, for receiving light waves reflected from fog in front of the vehicle;

[0033] an air humidity detection module, communicatively connected to the processor, and configured to detect the air humidity of the external environment in which the vehicle is located;

[0034] The processor is configured to obtain the concentration of the fog ahead of the vehicle based on the wavelength type of the light wave received by the light wave receiving module and the air humidity detected by the air humidity detection module.

[0035] Optionally, when the wavelength type of the reflected light wave only includes the light wave of the first wavelength, the processor determines that there is fog in front of the vehicle and obtains the concentration of the fog in front of the vehicle based on the air humidity.

[0036] Optionally, the database also stores a correspondence between a calibrated voltage drop and a calibrated concentration of the fog in front of the vehicle. The air humidity detection module includes a humidifier, and changes in air humidity cause changes in the resistance of the humidifier. The air humidity detection module outputs different voltage drops based on the changes in the resistance of the humidifier. The processor is used to obtain the concentration of the fog in front of the vehicle based on the voltage drop output by the air humidity detection module and based on the correspondence between the calibrated voltage drop and the calibrated concentration.

[0037] Optionally, the vehicle monitoring system further includes:

[0038] an electronic stability controller, for obtaining the speed of the vehicle when transmitting and receiving light waves,

[0039] The processor is further configured to obtain a time difference between transmitting and receiving light waves, and to obtain a distance from the fog in front of the vehicle to the vehicle based on the time difference and the vehicle speed when transmitting and receiving light waves.

[0040] Optionally, the vehicle monitoring system further includes:

[0041] a body controller, communicatively connected to the processor;

[0042] Among them, when the acquired concentration of the fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle match the calibrated concentration of the fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in the database, the processor sends a light-on signal to the body controller, and the body controller is used to drive the fog lights and / or the hazard warning lights to turn on after receiving the light-on signal.

[0043] Optionally, the vehicle monitoring system further includes:

[0044] lens assembly;

[0045] The lightwave transmitting module and the lightwave receiving module transmit and receive lightwaves respectively through the lens assembly.

[0046] The present application also provides a vehicle, comprising the vehicle monitoring system as described in any one of the above items.

[0047] This application obtains the concentration of fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle, and verifies them with the calibrated concentration of fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in the database, so as to monitor the fog situation in front of the vehicle more accurately and timely, thereby improving driving safety.

[0048] 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

[0049] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0050] Figure 1 Shown is a structural block diagram of an embodiment of a vehicle of the present application.

[0051] Figure 2 Shown is a flow chart of an embodiment of the vehicle monitoring method of the present application.

[0052] Figure 3 Shown Figure 2 A flow chart of an embodiment of a vehicle monitoring method for obtaining the concentration of fog in front of a vehicle.

[0053] Figure 4 Shown Figure 2 A flow chart of an embodiment of a vehicle monitoring method for obtaining the distance from fog in front of a vehicle. DETAILED DESCRIPTION

[0054] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0055] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. Unless otherwise defined, technical or scientific terms used in this application should have the ordinary meaning understood by a person of ordinary skill in the art to which this application belongs. The terms "first," "second," and similar words used in this specification and claims do not denote any order, quantity, or importance, but are simply used to distinguish different components. Similarly, the terms "a" or "an" and similar words do not denote a limitation of quantity, but rather denote the presence of at least one. The terms "plurality" or "several" mean two or more. Unless otherwise indicated, the terms "front," "rear," "lower," and / or "upper" and similar words are for convenience only and are not intended to limit to a single position or spatial orientation. The terms "include" or "comprising" and similar words mean that the elements or objects listed before "include" or "comprising" include the elements or objects listed after "include" or "comprising" and their equivalents, and do not exclude other elements or objects. The terms "connected" or "connected" and similar words are not limited to physical or mechanical connections and can include electrical connections, whether direct or indirect.

[0056] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0057] The vehicle monitoring method of an embodiment of the present application includes: obtaining the concentration of fog in front of the vehicle; obtaining the distance from the fog in front of the vehicle to the vehicle; verifying the obtained concentration of fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle with the calibrated concentration of fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in a database; and determining whether to turn on the fog lights and / or hazard warning lights based on the verification result. By obtaining the concentration of fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle and verifying them with the calibrated concentration of fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in a database, the present application can more accurately and timely monitor the fog situation in front of the vehicle, thereby improving driving safety.

[0058] The present application provides a vehicle monitoring method, a vehicle monitoring system, and a vehicle. The vehicle monitoring method, vehicle monitoring system, and vehicle of the present application are described in detail below with reference to the accompanying drawings. The features of the following embodiments and implementations may be combined with each other unless they conflict.

[0059] Figure 1 FIG. 1 is a block diagram of a vehicle 100 according to an embodiment of the present invention. Figure 1 As shown, vehicle 100 includes a vehicle monitoring system 101. Vehicle monitoring system 101 includes a processor 102 and a memory 103. Processor 102, for example, an MCU (Microcontroller Unit) is used to control vehicle 100, and memory 103 is used to store database data. In this embodiment, memory 103 stores the calibrated concentration of fog ahead of the vehicle and the calibrated distance from the fog ahead of the vehicle to vehicle 100. During a test run of vehicle 100, vehicle monitoring system 101 collects fog concentrations under different temperatures and humidity conditions and the corresponding current distances from the fog ahead of the vehicle to the vehicle. Processor 102 autonomously learns to form the calibrated concentration of fog ahead of the vehicle and the calibrated distance from the fog ahead of the vehicle to the vehicle. During use of vehicle 100, vehicle monitoring system 101 can monitor the fog ahead of the vehicle and compare and verify it with the calibrated concentration and calibrated distance to determine whether vehicle 100 will encounter heavy fog, thereby improving driving safety.

[0060] In some embodiments, the vehicle monitoring system 101 of the present application further includes a lightwave transmitting module 104, a lightwave receiving module 105, and an air humidity detection module 106. The lightwave transmitting module 104 is communicatively coupled to the processor 102 and configured to transmit lightwaves of different wavelengths into the fog ahead of the vehicle 100. The different wavelengths include a first wavelength and a second wavelength, where the first wavelength is greater than the second wavelength. In one embodiment, the first wavelength may include, for example, red light, and the second wavelength may include, for example, blue light. The lightwave receiving module 105 is communicatively coupled to the processor 102 and configured to receive lightwaves reflected from the fog ahead of the vehicle 100. Fog has different reflective properties for lightwaves of different wavelengths; fog absorbs short-wavelength lightwaves and reflects long-wavelength lightwaves. The air humidity detection module 106 is communicatively coupled to the processor 102 and configured to detect the air humidity of the environment surrounding the vehicle 100. In foggy weather, air humidity increases, so fog can be detected by measuring air humidity. Processor 102 is configured to determine the concentration of fog ahead of the vehicle based on the wavelength type of the light waves received by lightwave receiving module 105 and the air humidity detected by air humidity detection module 106. When the wavelength type of the reflected light waves only includes light waves of the first wavelength, processor 102 can determine that fog is present ahead of vehicle 100 and determine the concentration of fog ahead based on the air humidity. For example, if lightwave transmitting module 104 simultaneously transmits red and blue light, and lightwave receiving module 105 only receives red light but not blue light, this indicates that the blue light was absorbed by the fog while the red light was reflected by the fog, thereby indicating the presence of fog ahead. Processor 102 can calculate the concentration of fog based on the reflected wavelength type and air humidity. In one embodiment, lightwave transmitting module 104 can continuously transmit multiple sets of light waves of different wavelengths, thereby enabling more accurate fog concentration detection.

[0061] The air humidity detection module 106 includes a humistor 107, which includes a hygroscopic material that absorbs moisture in the air, causing the resistance of the humistor 107 to change. Changes in air humidity cause the resistance of the humistor 107 to change, and the air humidity detection module 106 outputs different voltage drops based on the resistance change of the humistor 107. The database also stores a correspondence between a calibrated voltage drop and a calibrated concentration of fog ahead of the vehicle. The processor 102 is configured to determine the concentration of fog ahead of the vehicle based on the voltage drop output by the air humidity detection module 106 and the correspondence between the calibrated voltage drop and the calibrated concentration. The processor 102 compares the voltage drop output by the air humidity detection module 106 with the calibrated voltage drop, and then compares it with the calibrated concentration to determine the concentration of fog ahead of the vehicle.

[0062] Continue to refer Figure 1The vehicle monitoring system 101 also includes an electronic stability controller (ESC) 111, which is used to obtain the vehicle speed of the vehicle 100 when transmitting and receiving light waves. The processor 102 is also used to obtain the time difference between the transmission and reception of the light waves, and obtain the distance from the fog in front of the vehicle to the vehicle based on the time difference and the vehicle speed when transmitting and receiving the light waves.

[0063] The vehicle monitoring system 101 also includes fog lights 113, hazard warning lights 114 and a body control module (BCM) 112. The fog lights 113 can improve the visibility of the environment around the vehicle 100 in foggy weather. The hazard warning lights 114 can prompt the driver to slow down and improve safety. The body control module 112 is in communication with the processor 102. When the obtained concentration of the fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle 100 match the calibrated concentration of the fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle 100 stored in the database, the processor 102 sends a light-on signal to the body control module 112. The body control module 112 is configured to drive the fog lights 113 and / or the hazard warning lights 114 to turn on after receiving the light-on signal.

[0064] The vehicle monitoring system 101 further includes a CAN transceiver 110 and a power supply 109. The electronic stability controller 111 and the body controller 112 are communicatively connected to the processor 102 via the CAN transceiver 110. The power supply 109 is electrically connected to the processor 102 to supply power to the processor 102.

[0065] The vehicle monitoring system 101 further includes a lens assembly 108. The light wave transmitting module 104 and the light wave receiving module 105 transmit and receive light waves respectively through the lens assembly 108. The lens assembly 108 can make the light waves more concentrated and improve the focusing effect.

[0066] Figure 2 FIG. 2 is a flow chart of an embodiment of a vehicle monitoring method 200 of the present application. Figure 2 As shown, the vehicle monitoring method 200 includes steps 210, 220, 230, and 240. In step 210, the concentration of fog ahead of the vehicle 100 is obtained. In step 220, the distance from the fog ahead of the vehicle 100 to the vehicle 100 is obtained. In step 230, the obtained concentration of fog ahead of the vehicle and the distance from the fog ahead of the vehicle 100 are verified against the calibrated concentration of fog ahead of the vehicle and the calibrated distance from the fog ahead of the vehicle 100 stored in a database. In step 240, based on the verification results, it is determined whether to turn on the fog lights 113 and / or the hazard warning lights 114.

[0067] Combine Figure 1and Figure 2 The processor 102 is configured to execute the vehicle monitoring method 200. The processor 102 obtains the concentration of fog ahead of the vehicle 100 and the distance from the fog ahead to the vehicle 100, verifies the obtained concentration of fog ahead of the vehicle and the distance from the fog ahead to the vehicle 100 with the calibrated concentration of fog ahead of the vehicle and the calibrated distance from the fog ahead to the vehicle 100 stored in a database, obtains the visibility of the current environment, and determines whether to turn on the fog lights 113 and / or the hazard warning lights 114 based on the verification result. This allows for more accurate and timely monitoring of the fog ahead of the vehicle 100, thereby improving driving safety.

[0068] Step 240, based on the verification result, determines whether to turn on the fog lights 113 and / or the hazard warning lights 114. The process includes: If the acquired fog concentration and distance from the fog to the vehicle 100 match the calibrated fog concentration and distance stored in the database, sending a light-on signal to the body controller 112; upon receiving the light-on signal, the body controller 112 activates the fog lights 113 and / or the hazard warning lights 114. The body controller 112 can activate or deactivate the fog lights 113 and / or the hazard warning lights 114. If the acquired fog concentration and distance from the fog to the vehicle 100 match the calibrated fog concentration and distance stored in the database, the processor 102 generates a light-on signal and transmits it to the body controller 112 via the CAN transceiver 110. The body controller 112 then receives and executes the light-on signal.

[0069] Figure 3 Shown Figure 2 A flowchart of an embodiment of step 210 of obtaining the concentration of fog in front of a vehicle in the vehicle monitoring method 200. Obtaining the concentration of fog in front of a vehicle includes steps 2101, 2102, 2103, and 2104. In step 2101, light waves of different wavelengths are emitted into the fog in front of the vehicle. Light waves of different wavelengths include light waves of a first wavelength and light waves of a second wavelength, wherein the first wavelength is greater than the second wavelength. In step 2102, light waves reflected from the fog in front of the vehicle are received. In step 2103, the air humidity of the external environment in which the vehicle is located is detected. In step 2104, the concentration of fog in front of the vehicle is obtained based on the wavelength type of the reflected light wave and the detected air humidity. Combined Figure 1 and Figure 3Processor 102 controls lightwave transmitting module 104 to transmit lightwaves of the first and second wavelengths. Lightwave receiving module 105 receives lightwaves reflected by fog. Processor 102 controls air humidity detection module 106 to detect the air humidity of the environment outside vehicle 100. Processor 102 determines the concentration of fog ahead of the vehicle based on the wavelength type of the reflected lightwaves and the detected air humidity. Step 2104, determining the concentration of fog ahead of the vehicle based on the wavelength type of the reflected lightwaves and the detected air humidity, includes: when the wavelength type of the reflected lightwaves only includes lightwaves of the first wavelength, determining that fog exists ahead of the vehicle; and when fog exists ahead of the vehicle, determining the concentration of fog ahead based on the detected air humidity. If lightwaves reflected by fog received by lightwave receiving module 105 by processor 102 only include lightwaves of the first wavelength, which is longer in wavelength, indicating that lightwaves of the second wavelength, which is shorter in wavelength, are absorbed by the fog, processor 102 can determine that fog exists ahead of the vehicle. Processor 102 then determines the concentration of fog ahead of the vehicle based on the detected air humidity. This process includes: determining a change in the resistance of humidity-sensitive resistor 107 within humidity detection module 106 based on the change in air humidity; outputting a voltage drop based on the change in resistance of humidity-sensitive resistor 107; and determining the concentration of fog ahead of the vehicle based on the output voltage drop and a correspondence between the calibrated voltage drop and the calibrated concentration of fog ahead of the vehicle stored in a database. Processor 102 compares the voltage drop of humidity-sensitive resistor 107 with the correspondence between the calibrated voltage drop and the calibrated concentration of fog ahead of the vehicle stored in the database, thereby determining the concentration of fog ahead of the vehicle.

[0070] Figure 4 Shown Figure 2 Flowchart of an embodiment of step 220 of the vehicle monitoring method 200 for obtaining the distance from the fog in front of the vehicle to the vehicle 100. Obtaining the distance from the fog in front of the vehicle to the vehicle includes steps 2201, 2202, and 2203. In step 2201, the time difference between the emitted light wave and the received light wave is obtained. In step 2202, the speed of the vehicle 100 when the light wave is emitted and received is obtained. In step 2203, the distance from the fog in front of the vehicle to the vehicle is obtained based on the time difference and the speed when the light wave is emitted and received. Combined Figure 1 and Figure 4Processor 102 obtains the time when lightwave transmitting module 104 transmits the lightwave and the time when lightwave receiving module 105 receives the lightwave, thereby obtaining the time difference between the transmitted and received lightwaves. Processor 102 obtains the vehicle speed of vehicle 100 at the time of lightwave transmission and reception via electronic stability controller 111. Based on the time difference and the vehicle speed at the time of lightwave transmission and reception, processor 102 determines the distance from the fog ahead to vehicle 100. Combined with the fog concentration, it determines visibility, enabling vehicle 100 to more timely and accurately monitor fog conditions ahead.

[0071] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0072] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A vehicle monitoring method, characterized in that: include: Obtain the concentration of fog ahead of the vehicle; Obtaining the distance between the fog in front of the vehicle and the vehicle; Verifying the obtained concentration of the fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle with the calibrated concentration of the fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in a database; as well as Determine whether to turn on the fog lights and / or hazard warning lights based on the verification results. The obtaining of the concentration of fog in front of the vehicle comprises: emitting light waves of different wavelengths into the fog in front of the vehicle, the light waves of different wavelengths comprising light waves of a first wavelength and light waves of a second wavelength, wherein the first wavelength is greater than the second wavelength; receiving light waves reflected from the fog in front of the vehicle; detecting air humidity in an external environment where the vehicle is located; and obtaining the concentration of fog in front of the vehicle based on the wavelength type of the reflected light waves and the detected air humidity. The method of obtaining the concentration of fog in front of the vehicle based on the wavelength type of the reflected light wave and the detected air humidity includes: when the wavelength type of the reflected light wave only includes the light wave of the first wavelength, determining that there is fog in front of the vehicle; and when it is determined that there is fog in front of the vehicle, obtaining the concentration of fog in front of the vehicle based on the detected air humidity.

2. The vehicle monitoring method according to claim 1, characterized in that: The step of obtaining the concentration of the fog ahead of the vehicle according to the detected air humidity includes: According to the change of air humidity, the resistance change of the humidity-sensitive resistor in the air humidity detection module is obtained; Outputting different voltage drops based on the resistance change of the humidity-sensitive resistor; and The concentration of the fog ahead of the vehicle is obtained according to the output voltage drop and based on a corresponding relationship between the calibrated voltage drop stored in the database and the calibrated concentration of the fog ahead of the vehicle.

3. The vehicle monitoring method according to claim 1, characterized in that: The obtaining of the distance from the fog in front of the vehicle to the vehicle includes: Obtain the time difference between the transmitted light wave and the received light wave; Obtaining the speed of the vehicle when transmitting and receiving light waves; The distance from the fog in front of the vehicle to the vehicle is obtained based on the time difference and the vehicle speed when the light wave is emitted and received.

4. The vehicle monitoring method according to claim 1, characterized in that: The determining whether to turn on the fog lights and / or hazard warning lights based on the verification result includes: When the acquired concentration of the fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle match the calibrated concentration of the fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in the database, a light-on signal is sent to the vehicle body controller; and The vehicle body controller drives the fog lights and / or the hazard warning lights to turn on after receiving the light-on signal.

5. A vehicle monitoring system, characterized in that: The system comprises a processor and a memory, wherein the processor is used to execute the vehicle monitoring method according to claim 1, and the memory is used to store the data in the database.

6. The vehicle monitoring system according to claim 5, characterized in that: Also includes: a light wave transmitting module, communicatively connected to the processor, for transmitting light waves of different wavelengths into the fog in front of the vehicle, the light waves of different wavelengths including a light wave of a first wavelength and a light wave of a second wavelength, wherein the first wavelength is greater than the second wavelength; a light wave receiving module, communicatively connected to the processor, for receiving light waves reflected from fog in front of the vehicle; an air humidity detection module, communicatively connected to the processor, and configured to detect the air humidity of the external environment in which the vehicle is located; The processor is configured to obtain the concentration of the fog ahead of the vehicle based on the wavelength type of the light wave received by the light wave receiving module and the air humidity detected by the air humidity detection module.

7. The vehicle monitoring system according to claim 6, characterized in that: When the wavelength types of the reflected light waves only include light waves of the first wavelength, the processor determines that there is fog in front of the vehicle and obtains the concentration of the fog in front of the vehicle based on the air humidity.

8. The vehicle monitoring system according to claim 7, characterized in that: The database also stores a correspondence between a calibrated voltage drop and a calibrated concentration of the fog in front of the vehicle. The air humidity detection module includes a humidifier. Changes in air humidity cause changes in the resistance of the humidifier. The air humidity detection module outputs different voltage drops based on the changes in the resistance of the humidifier. The processor is used to obtain the concentration of the fog in front of the vehicle based on the voltage drop output by the air humidity detection module and based on the correspondence between the calibrated voltage drop and the calibrated concentration.

9. The vehicle monitoring system according to claim 6, characterized in that: Also includes: an electronic stability controller, for obtaining the speed of the vehicle when transmitting and receiving light waves, The processor is further configured to obtain a time difference between transmitting and receiving light waves, and to obtain a distance from the fog in front of the vehicle to the vehicle based on the time difference and the vehicle speed when transmitting and receiving light waves.

10. The vehicle monitoring system according to claim 5, characterized in that: Also includes: a body controller, communicatively connected to the processor; Among them, when the acquired concentration of the fog in front of the vehicle and the distance from the fog in front of the vehicle to the vehicle match the calibrated concentration of the fog in front of the vehicle and the calibrated distance from the fog in front of the vehicle to the vehicle stored in the database, the processor sends a light-on signal to the body controller, and the body controller is used to drive the fog lights and / or the hazard warning lights to turn on after receiving the light-on signal.

11. The vehicle monitoring system according to claim 6, characterized in that: Also includes: lens assembly; The lightwave transmitting module and the lightwave receiving module transmit and receive lightwaves respectively through the lens assembly.

12. A vehicle, characterized in that: The vehicle monitoring system comprises the vehicle monitoring system according to any one of claims 5 to 11.

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