Vehicle lamp control method and vehicle
By obtaining and analyzing the headlight information of the target vehicle in real time and adjusting its lighting mode, the traffic safety problems caused by random use of lights during car meetings at night are solved, and driving safety is improved.
Patent Information
- Application Number
- CN202411345552.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-25
- Publication Date
- 2024-12-31
AI Technical Summary
When meeting at night, the problem of strong or low light caused by the vehicle's random use of lights by opposing or lateral vehicles affects the visual recognition of the driver and the autonomous driving system, increasing the risk of traffic accidents.
By obtaining the target vehicle's headlight information in real time, determining whether its lighting status is abnormal, and generating adjustment parameters, sending it to the target vehicle through the communication network, adjusting its lighting mode to avoid illegal behavior, such as adjusting the high beam to a low beam.
It effectively reduces the problem of low traffic safety caused by the random use of lights in vehicles, improves the driving safety of other vehicles, and ensures the safety of traffic participants.
Smart Images
Figure CN119233491A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of vehicle control, and in particular to a vehicle light control method and a vehicle. Background Art
[0002] While cars bring efficiency and convenience to human life and production, they also bring certain dangers due to driver habits and changes in traffic environment. A typical driving scenario is nighttime meeting, that is, when there is no ambient lighting or the ambient lighting is poor, the oncoming or side vehicles are accustomed to using high beams, causing the vehicle to be temporarily glared by the strong light and unable to see the road conditions in front of the vehicle, which can easily cause traffic accidents. In addition, some of the current autonomous driving technologies rely on visual recognition signals, which are also directly affected by strong or weak light.
[0003] Therefore, it is urgent to propose a vehicle light control method to solve the problem of how to effectively reduce the low driving safety of other vehicles caused by the misuse of lights by oncoming or side vehicles. Summary of the invention
[0004] The purpose of the present invention is to provide a vehicle light control method and a vehicle in view of the above-mentioned deficiencies in the prior art, so as to solve the technical problems existing in the prior art.
[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:
[0006] In a first aspect, an embodiment of the present application provides a vehicle light control method, which is applied to a current vehicle, where the current vehicle is a vehicle that has joined a communication network, and the method includes:
[0007] Acquire the headlight information of the target vehicle in real time, wherein the target vehicle is an oncoming or side vehicle that has joined the communication network;
[0008] Determining whether the headlight status of the target vehicle is abnormal according to the headlight information;
[0009] If abnormal, generating adjustment parameters according to the vehicle light information;
[0010] The adjustment parameters are sent to the target vehicle, so that the target vehicle adjusts the lighting according to the adjustment parameters.
[0011] Optionally, the vehicle light information includes: light brightness and light height;
[0012] The step of determining whether the headlight status of the target vehicle is abnormal according to the headlight information includes:
[0013] Determining whether the target vehicle uses a high beam according to the light brightness and the light height;
[0014] If it is a high beam, it is determined that the headlight state of the target vehicle is abnormal.
[0015] Optionally, generating adjustment parameters according to the vehicle light information includes:
[0016] The vehicle light information is input into a pre-trained large model to obtain adjustment parameters output by the large model, wherein the large model is pre-trained based on vehicle light information of multiple vehicles.
[0017] Optionally, sending the adjustment parameter to the target vehicle includes:
[0018] sending communication detection information to the target vehicle via the network;
[0019] If the response information sent by the target vehicle via the network is received, the adjustment parameter is sent to the target vehicle via the communication network.
[0020] Optionally, sending the adjustment parameter to the target vehicle includes:
[0021] The adjustment parameters are sent to the target vehicle via a cloud server.
[0022] In a second aspect, an embodiment of the present application further provides a vehicle light control method, which is applied to a target vehicle, where the target vehicle is an oncoming or side vehicle that has joined the communication network, comprising:
[0023] Receiving adjustment parameters from the current vehicle;
[0024] The current lighting mode of the target vehicle is adjusted according to the adjustment parameters.
[0025] Optionally, the receiving adjustment parameters from the current vehicle includes:
[0026] If communication detection information sent by the current vehicle via the communication network is received, sending response information to the current vehicle via the network;
[0027] The adjustment parameter sent by the current vehicle is received via the communication network.
[0028] Optionally, the receiving adjustment parameters from the current vehicle includes:
[0029] The adjustment parameters sent by the current vehicle are received via a cloud server.
[0030] Optionally, adjusting the current lighting mode of the target vehicle according to the adjustment parameter includes:
[0031] Output warning information;
[0032] If a target light mode adjustment instruction input by the user is received within a preset time period, adjusting the current light mode according to the target light mode adjustment instruction;
[0033] If the target light mode adjustment instruction input by the user is not received within the preset time period, adjusting the current light mode of the target vehicle to the light mode corresponding to the adjustment parameter according to the adjustment parameter;
[0034] Generate and play voice prompts for lighting adjustments.
[0035] In a third aspect, an embodiment of the present application further provides a vehicle, the vehicle comprising: an ambient light monitoring unit, a control unit, and a safety information control unit, the control unit being communicatively connected to the ambient light monitoring unit and the safety information control unit respectively;
[0036] The vehicle is used to execute the vehicle light control method provided by the first or second aspect embodiments.
[0037] The beneficial effects of this application are:
[0038] The present application provides a vehicle light control method and a vehicle. In this solution, the current vehicle collects the headlight information of the oncoming or side vehicle in real time, and judges whether the headlight status of the oncoming or side vehicle is abnormal based on the headlight information of the oncoming or side vehicle, that is, whether the headlight brightness of the oncoming or side vehicle will affect the driving of the current vehicle. If so, an adjustment parameter is generated based on the headlight information of the oncoming or side vehicle, and the adjustment parameter is sent to the oncoming or side vehicle. The oncoming or side vehicle adjusts the headlight mode of the oncoming or side vehicle based on the received adjustment parameter to adjust the headlight of the oncoming or side vehicle to a reasonable state, such as adjusting the high beam to the low beam or other state, thereby realizing remote control of the headlight status of the oncoming or side vehicle, preventing the oncoming or side vehicle from continuing to commit illegal acts, effectively solving the problem of low driving safety of other vehicles due to the abuse of lights by the oncoming or side vehicle, and improving the safety of other traffic participants. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.
[0040] Figure 1A schematic diagram of the structure of a vehicle provided in an embodiment of the present application;
[0041] Figure 2 A schematic diagram of a flow chart of a vehicle light control method provided in an embodiment of the present application;
[0042] Figure 3 A flow chart of another vehicle light control method provided by an embodiment of the present application;
[0043] Figure 4 A schematic flow chart of another vehicle light control method provided in an embodiment of the application;
[0044] Figure 5 A schematic flow chart of another vehicle light control method provided by an embodiment of the present application;
[0045] Figure 6 An embodiment of the present application provides a schematic structural diagram of a control unit in a vehicle.
[0046] Icon: 100 - vehicle; 101 - ambient light monitoring unit; 102 - control unit; 103 - safety information control unit. DETAILED DESCRIPTION
[0047] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present application, or remove one or more operations from the flowchart.
[0048] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.
[0049] It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features declared thereafter, but does not exclude the addition of other features.
[0050] The structure of the vehicle driving information prompting device provided by the present application will be introduced in detail through the following embodiments.
[0051] Figure 1 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application; Figure 1 As shown, the vehicle 100 includes: an environment light monitoring unit 101 , a control unit 102 , and a safety information control unit 103 .
[0052] The control unit 102 is communicatively connected with the environment light monitoring unit 101 and the safety information control unit 103 respectively.
[0053] For example, the control unit 102 may be an onboard control unit on a vehicle, which has a data processing function. The ambient light monitoring unit 101 may be a photosensitive sensor or a light sensor, which is disposed at the front of the vehicle, such as the left front side and the right front side.
[0054] The vehicle 100 is used to execute the vehicle light control method provided in the following embodiment to solve the technical problem faced by the present application.
[0055] Specifically, the ambient light monitoring unit 101 is used to detect the light intensity of the oncoming or side vehicle, and send the light intensity to the control unit 102. The control unit 102 determines whether the light state of the oncoming or side vehicle is the high beam according to the received light intensity. If so, it generates adjustment parameters according to the light intensity of the oncoming or side vehicle, and sends the adjustment parameters to the safety information control unit 103; the safety information control unit 103 forwards the adjustment parameters to the oncoming or side vehicle, so that the oncoming or side vehicle adjusts the light according to the adjustment parameters to avoid continuing to commit illegal acts. That is, the present application dynamically adjusts the abnormal light state of the oncoming or side vehicle based on instant communication of the communication network, changes the light mode, and effectively solves the problem of low driving safety of other vehicles due to the abuse of lights by oncoming or side vehicles.
[0056] The implementation principle and corresponding beneficial effects of the vehicle driving information prompt method steps provided in this application will be explained through multiple specific embodiments as follows.
[0057] refer to Figure 2As shown in FIG. 1 , a flowchart of a vehicle light control method provided in an embodiment of the present application is provided; optionally, the execution subject of the method may be a control unit on the current vehicle. It should be understood that in other embodiments, the order of some steps in the vehicle light control method may be interchanged according to actual needs, or some steps may be omitted or deleted. Figure 2 As shown, the method includes:
[0058] It should be noted that the premise for the implementation of this method is that the current vehicle and at least one oncoming vehicle are both vehicles that have joined the communication network, such as the V2X communication network.
[0059] S201. The current vehicle obtains the headlight information of the target vehicle in real time.
[0060] Among them, the target vehicle is an oncoming or side vehicle that has joined the V2X communication network. For example, when the current vehicle is traveling along a straight route at night, the current vehicle's line of sight will be affected by the headlights of the oncoming vehicle (i.e., the target vehicle); for another example, when the current vehicle is turning left, right, or making a U-turn at an intersection, the current vehicle's line of sight will be affected by the headlights of the side vehicle (i.e., the target vehicle).
[0061] Exemplarily, for example, the current vehicle is a vehicle with normal lighting, and when the current vehicle and at least one target vehicle enter a public road, they become traffic participants.
[0062] In this embodiment, for example, when the current vehicle is traveling at night, the ambient light monitoring unit on the current vehicle can detect the light intensity of the target vehicle in real time, that is, obtain the headlight information of the target vehicle, such as the light intensity.
[0063] S202: The current vehicle determines whether the headlight status of the target vehicle is abnormal based on the headlight information.
[0064] In one achievable manner, for example, the light intensity of the target vehicle can be compared with the preset normal light intensity. If the light intensity of the target vehicle is greater than the normal light intensity, the light state of the target vehicle is determined to be abnormal; if the light intensity of the target vehicle is less than or equal to the normal light intensity, the light state of the target vehicle is determined to be normal. For another example, the light intensity of the target vehicle can be input into a pre-trained light detection model to obtain the detection result output by the light detection model, that is, the light detection model is used to detect whether the light state of the target vehicle is normal, thereby ensuring the accuracy of the detection.
[0065] S203: If abnormal, generate adjustment parameters according to the vehicle light information.
[0066] If the target vehicle's headlight status is abnormal, it can be determined that the target vehicle's headlight status is high beam, so that the driver or visual acquisition unit on the current vehicle cannot see the road conditions due to the glare of the lights. Autonomous driving vehicles mainly rely on visual acquisition units to achieve unmanned driving functions.
[0067] In one feasible method, for example, if the headlight status of the target vehicle is abnormal, an adjustment parameter is generated based on the headlight information; alternatively, the control parameter under the low beam status can be directly used as the adjustment parameter to switch between high and low beams on the target vehicle, which is simple and quick to operate.
[0068] S204: The current vehicle sends the adjustment parameters to the target vehicle.
[0069] S205: The target vehicle adjusts the current lighting mode of the target vehicle according to the adjustment parameters.
[0070] Optionally, the adjustment parameters obtained above can be sent to the target vehicle via the V2X communication network or the cloud server. After receiving the adjustment parameters, the target vehicle promptly adjusts the current lighting mode of the target vehicle to a reasonable state, such as adjusting the high beam to a low beam or other state, thereby realizing remote control of the light state of the target vehicle, preventing the target vehicle from continuing to commit illegal acts, and effectively solving the problem of low driving safety of other vehicles due to the abuse of lights by oncoming or side vehicles, thereby improving the safety of other traffic participants.
[0071] In summary, the embodiment of the present application provides a method for controlling vehicle lights. In this scheme, the current vehicle collects vehicle light information of the oncoming or side vehicles in real time, and determines whether the vehicle light status of the oncoming or side vehicles is abnormal based on the vehicle light information of the oncoming or side vehicles, that is, whether the brightness of the vehicle light of the oncoming or side vehicles will affect the driving of the current vehicle. If so, an adjustment parameter is generated based on the vehicle light information of the oncoming or side vehicles, and the adjustment parameter is sent to the oncoming vehicle. The oncoming vehicle adjusts the vehicle light mode of the oncoming or side vehicles based on the received adjustment parameter to adjust the light of the oncoming or side vehicles to a reasonable state, such as adjusting the high beam to the low beam or other state, thereby realizing remote control of the light status of the oncoming or side vehicles, preventing the oncoming or side vehicles from continuing to commit illegal acts, effectively solving the problem of low driving safety of other vehicles due to the abuse of lights by oncoming or side vehicles, and improving the safety of other traffic participants.
[0072] Optionally, refer to Figure 3 As shown, the headlight information of the target vehicle includes: light brightness and light height; the step S202 includes:
[0073] S301. Determine whether the target vehicle is using high beam lights according to light brightness and light height.
[0074] S302: If the light is high beam, determine that the light status of the target vehicle is abnormal.
[0075] In this embodiment, for example, it is possible to determine whether the target vehicle is using high beam lights based on the light brightness and light height of the target vehicle; if so, it is determined that the light status of the target vehicle is abnormal.
[0076] Optionally, the above step S203 includes:
[0077] The vehicle light information is input into the pre-trained large model to obtain the adjustment parameters output by the large model.
[0078] Among them, the large model is pre-trained based on the headlight information of multiple vehicles. Exemplarily, for example, training samples of multiple vehicles are obtained, and the training samples include: lighting data and adjustment data; the basic model is selected as the initial training model, and then the training samples of multiple vehicles are input into the initial training model, and the initial training model is iterated for multiple times until the final large model obtained by training meets the preset convergence conditions. Secondly, the trained large model can be deployed to the control unit in the vehicle, that is, localized deployment is achieved, avoiding high requirements for network quality.
[0079] In this embodiment, for example, the big model refers to a deep learning model deployed on the vehicle, which is used to generate adjustment parameters according to the headlight information of the target vehicle to achieve a high-precision headlight control function. That is, the headlight information is input into the big model, and the big model processes the headlight information to obtain the adjustment parameters of the target vehicle. That is, the application generates adjustment parameters through the big model, which can further improve the recognition accuracy.
[0080] Optionally, refer to Figure 4 As shown, the above step S204 includes:
[0081] S401. Send communication detection information to a target vehicle via a network.
[0082] S402: If response information sent by the target vehicle via the network is received, the adjustment parameters are sent to the target vehicle via the communication network.
[0083] Among them, a safety information control unit is currently deployed on the vehicle, which is responsible for checking whether the communication environment is safe and providing decisions on whether V2V vehicle-to-vehicle local communication can be established.
[0084] Optionally, after generating the adjustment parameters, the control unit on the current vehicle can send the adjustment parameters to the target vehicle via the V2X network or cloud server. When sending via the V2X network, it is necessary to first determine whether the current vehicle and the target vehicle can communicate normally, that is, the safety information control unit on the current vehicle can send communication detection information to the target vehicle via the V2X network. If the response information returned by the target vehicle is received, it is determined that the current vehicle and the target vehicle can communicate normally via the V2X network, that is, establish an instant communication security guarantee encrypted directional channel to form a local end-to-end communication. Otherwise, communication is not possible. At this time, the cloud server is used to communicate with the opposite or lateral vehicle. Therefore, when the V2V vehicle-to-vehicle local communication environment is safe, the safety information control unit on the current vehicle can send the adjustment parameters to the target vehicle through the V2X communication network.
[0085] Optionally, the above step S204 includes:
[0086] The adjustment parameters are sent to the target vehicle via the cloud server.
[0087] In another feasible method, for example, when both the current vehicle and the target vehicle are traveling in a tunnel, and the V2X network signal in the tunnel is weak, the safety information control unit on the current vehicle can directly send the adjustment parameters to the target vehicle via the cloud server to realize signal transmission in the tunnel.
[0088] It should be noted that V2V's vehicle-to-vehicle local communication is superior to the vehicle-to-cloud-to-vehicle communication of the Internet of Vehicles. The former is significantly superior to the latter in terms of timeliness, efficiency, latency, and network dependence.
[0089] Among them, the lighting adjustment control unit on the target vehicle may receive the adjustment parameters sent from the safety information control unit and the cloud server synchronously or asynchronously, and select the adjustment parameters that arrive first to continue to send, which can ensure the timeliness of information transmission.
[0090] The following embodiments will explain in detail how the target vehicle receives the adjustment parameters and how to adjust the headlights after receiving the adjustment parameters.
[0091] Optionally, receiving adjustment parameters from the current vehicle includes:
[0092] If communication detection information sent by the current vehicle via the V2X network is received, a response message is sent to the current vehicle via the V2X network;
[0093] The adjustment parameters sent by the current vehicle are received via the V2X communication network.
[0094] Optionally, receiving adjustment parameters from the current vehicle includes:
[0095] The adjustment parameters sent by the current vehicle are received via the cloud server.
[0096] Therefore, the target vehicle can receive the adjustment parameters sent by the current vehicle via the V2X communication network, and can also receive the adjustment parameters sent by the current vehicle via the cloud server. That is, the V2V vehicle-to-vehicle local communication and the V2X vehicle-to-cloud-to-vehicle communication end-to-cloud collaborative interaction of the Internet of Vehicles are conducive to stable execution in any scenario, which can ensure the reliability of information transmission, and thus make it possible to adjust the lights on the target vehicle in a timely manner, that is, to timely adjust the lights of surrounding vehicles to a reasonable state, ensure the safety of traffic participants, and effectively reduce the loss of life and property caused by the target vehicle's misuse of lights.
[0097] Optionally, after sending the adjustment parameters to the target vehicle, the current vehicle also needs to monitor the feedback signal returned from the target vehicle. If the feedback signal is received successfully, it will not be sent again; if the feedback signal is received unsuccessfully, it will be retried three times.
[0098] Optionally, refer to Figure 5 As shown, the above step S205 adjusts the current lighting mode of the target vehicle according to the adjustment parameters, including:
[0099] S501. Output warning information.
[0100] Optionally, after receiving the adjustment parameters, the target vehicle generates an alarm message, such as the alarm message: the light is abnormal and may affect the safety of oncoming vehicles or surrounding participants, please adjust it immediately, and the alarm message is first broadcast through voice TTS synthesized text.
[0101] S502: If a target light mode adjustment instruction input by the user is received within a preset time period, the current light mode is adjusted according to the target light mode adjustment instruction.
[0102] In one feasible method, for example, the driver of the target vehicle manually adjusts the current high beam mode of the headlights to other appropriate light modes within 3 seconds, such as switching between high and low beams, headlight height and brightness, etc., and enters the next round of headlight detection process until the lights of both vehicles do not affect each other.
[0103] S503: If the target light mode adjustment instruction input by the user is not received within the preset time period, the current light mode of the target vehicle is adjusted to the light mode corresponding to the adjustment parameter according to the adjustment parameter.
[0104] In another achievable manner, for example, if the driver of the target vehicle does not make any adjustment operation on the headlights within 3 seconds, the headlight adjustment control unit on the target vehicle automatically adjusts the current headlight mode on the target vehicle to the light mode corresponding to the adjustment parameter based on the adjustment parameter.
[0105] S504: Generate and play voice prompt information for lighting adjustment.
[0106] Optionally, after the lights on the target vehicle are adjusted, a light adjustment voice prompt message is generated, such as the light adjustment voice prompt message is: the light mode has been automatically adjusted, please drive safely; then, the voice prompt is played through the internal speaker of the target vehicle so that the driver of the target vehicle can understand the current light condition in time.
[0107] Optionally, the vehicle light control method provided by the present application also supports one-to-many, supports detecting whether there are multiple illegal vehicles, supports multiple warnings for multiple abnormal illegal vehicles. In addition, the vehicle being warned has the right to detect and warn at the same time, until there is no interference from multiple vehicles in the domain, and the current vehicle is in a standby detection state.
[0108] Optionally, refer to Figure 6 As shown, a control unit provided in an embodiment of the present application may be a processing chip integrated on a vehicle, or may be a computing device with data processing capabilities.
[0109] The control unit includes: a processor 601 and a memory 602 .
[0110] The memory 602 is used to store programs, and the processor 601 calls the programs stored in the memory 602 to execute the vehicle light control method embodiment provided by the above embodiment. The specific implementation method and technical effect are similar and will not be repeated here.
[0111] Optionally, the present invention also provides a program product, such as a computer-readable storage medium, comprising a program, which is used to execute the above method embodiment when executed by a processor.
[0112] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0113] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0114] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.
[0115] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.
Claims
1. A vehicle light control method, characterized in that: Applied to a current vehicle, the current vehicle being a vehicle that has joined a communication network, the method comprises: Acquire the headlight information of the target vehicle in real time, wherein the target vehicle is an oncoming or side vehicle that has joined the communication network; Determining whether the headlight status of the target vehicle is abnormal according to the headlight information; If abnormal, generating adjustment parameters according to the vehicle light information; The adjustment parameters are sent to the target vehicle, so that the target vehicle adjusts the lighting according to the adjustment parameters.
2. The method according to claim 1, characterized in that: The vehicle light information includes: light brightness and light height; The step of determining whether the headlight status of the target vehicle is abnormal according to the headlight information includes: Determining whether the target vehicle uses a high beam according to the light brightness and the light height; If it is a high beam, it is determined that the headlight state of the target vehicle is abnormal.
3. The method according to claim 1, characterized in that The step of generating adjustment parameters according to the vehicle light information includes: The vehicle light information is input into a pre-trained large model to obtain adjustment parameters output by the large model, wherein the large model is pre-trained based on vehicle light information of multiple vehicles.
4. The method according to claim 1, characterized in that: Sending the adjustment parameter to the target vehicle includes: sending communication detection information to the target vehicle via the network; If the response information sent by the target vehicle via the communication network is received, the adjustment parameter is sent to the target vehicle via the communication network.
5. The method according to claim 1, characterized in that Sending the adjustment parameter to the target vehicle includes: The adjustment parameters are sent to the target vehicle via a cloud server.
6. A vehicle light control method, characterized in that: Applied to a target vehicle, the target vehicle being an oncoming or sideward vehicle that has joined the communication network, comprising: Receiving adjustment parameters from the current vehicle; The current lighting mode of the target vehicle is adjusted according to the adjustment parameters.
7. The method according to claim 6, characterized in that The receiving of adjustment parameters from the current vehicle includes: If communication detection information sent by the current vehicle via the network is received, sending response information to the current vehicle via the network; The adjustment parameter sent by the current vehicle is received via the communication network.
8. The method according to claim 6, characterized in that The receiving of adjustment parameters from the current vehicle includes: The adjustment parameters sent by the current vehicle are received via a cloud server.
9. The method according to claim 6, characterized in that The step of adjusting the current lighting mode of the target vehicle according to the adjustment parameter includes: Output warning information; If a target light mode adjustment instruction input by the user is received within a preset time period, adjusting the current light mode according to the target light mode adjustment instruction; If the target light mode adjustment instruction input by the user is not received within the preset time period, adjusting the current light mode of the target vehicle to the light mode corresponding to the adjustment parameter according to the adjustment parameter; Generate and play voice prompts for lighting adjustments.
10. A vehicle, characterized in that: The vehicle comprises: an ambient light monitoring unit, a control unit, and a safety information control unit, wherein the control unit is communicatively connected with the ambient light monitoring unit and the safety information control unit respectively; The vehicle is used to execute the vehicle light control method described in any one of claims 1 to 5 or any one of claims 6 to 9.