A control method, system, device and medium of a vehicle warning mode

Abstract

The present application belongs to the technical field of automobile control system, and provides a control method, system, device and medium for vehicle warning mode, wherein the method comprises: acquiring environment perception data; determining the risk level of the current parking scene based on the environment perception data; generating a warning light beam control instruction according to the risk level; and projecting a warning light beam to the rear area of the vehicle based on the warning light beam control instruction. The method can collect environment perception data, realize the identification of the surrounding environment, determine the current parking scene according to the obtained environment perception data and output the corresponding risk level, and then project a warning light beam according to the risk level. Compared with the prior art, the present application can dynamically adjust the warning light beam according to the risk level, and the environmental adaptation capability is significantly improved. At the same time, the warning light beam can replace the traditional manual placement of triangular warning signs, without the need for personnel to get off the vehicle to lay out, and the safety hazards brought by manual placement of warning signs are avoided.

Description

Technical Field

[0001] This invention belongs to the field of automotive control system technology, and specifically relates to a control method, system, device and medium for vehicle warning modes. Background Technology

[0002] Currently, when vehicles are forced to stop on the road due to accidents or breakdowns, they mainly use hazard warning lights (double flashers), warning triangles, and high-mounted brake lights to prevent accidents.

[0003] However, existing technologies share the following common drawbacks: 1. Warning light parameters are fixed: Whether it is a hazard light or a high-mounted brake light, its light color, intensity, and flashing mode are fixed at the factory and cannot be dynamically adjusted according to environmental factors such as weather, visibility, and the condition of vehicles behind.

[0004] 2. Inability to implement tiered early warning: The existing system cannot identify the degree of danger of vehicles approaching from behind (such as vehicles approaching at high speed), and cannot activate higher-intensity early warning modes in extremely dangerous scenarios.

[0005] 3. Reliance on manual operation: The warning triangle needs to be placed manually, which poses a great risk of secondary accidents on highways.

[0006] 4. Lack of environmental perception: The existing warning mode does not have the ability to perceive visibility, weather, and the dynamics of vehicles behind, and cannot achieve "intelligent decision-making". Summary of the Invention

[0007] To address the problems in the background art, the present invention proposes a control method, system, device, and medium for vehicle warning modes.

[0008] To achieve the above objectives, the present invention adopts the following technical solution: A method for controlling a vehicle warning mode includes: Acquire environmental perception data; Determine the risk level of the current parking scenario based on environmental perception data; Generate warning beam control commands based on the risk level; Based on the warning beam control command, a warning beam is projected into the area behind the vehicle.

[0009] Furthermore, acquiring environmental perception data includes the following steps: Acquire one or more of the following parameters: environmental visibility, weather type, ambient light intensity, distance to oncoming vehicles, and relative speed.

[0010] Furthermore, the risk level of the current parking scenario is determined based on environmental perception data, including the following steps: When the environmental visibility parameter is less than the first preset threshold, or the weather type parameter indicates specific severe weather conditions, it is determined to be at the first risk level. When the environmental visibility parameter is between the first preset threshold and the second preset threshold, it is determined to be at the second risk level; When the environmental visibility parameter is greater than or equal to the second preset threshold and the environmental light intensity meets the daytime conditions, it is determined to be the third risk level; When the relative speed is greater than the third preset threshold, or the distance is less than the fourth preset threshold, it is determined to be a special risk level.

[0011] Furthermore, generating warning beam control commands based on the risk level includes the following steps: When the risk level is the first risk level, the main wavelength range of the matched beam is between 575-585nm, and the strobe frequency is 3~5Hz; When the risk level is the second risk level, the main wavelength range of the matched beam is between 620-700nm, and the strobe frequency is 1~2Hz; When the risk level is the third risk level, the matching main wavelength range is between 590-600nm, the strobe mode is constant light superimposed with strobe, and the strobe frequency is less than 1Hz; When the risk level is extremely high, the matched light source type is a laser light source, and a warning beam control command is generated that includes a dynamic warning pattern projection.

[0012] Furthermore, based on the warning beam control command, a warning beam is projected towards the area behind the vehicle, including the following steps: When the risk level is extremely high, control the laser light source to project dynamic warning patterns onto the road surface behind the vehicle.

[0013] Furthermore, controlling the laser light source to project dynamic warning patterns onto the road surface behind the vehicle includes: Based on real-time changes in environmental perception data, the projection range and / or scanning frequency of dynamic warning patterns are dynamically adjusted.

[0014] Furthermore, the power of the laser source is ≤0.39mW, the beam projection direction is downward, and the beam cutoff height is no more than a preset height from the ground.

[0015] Furthermore, before acquiring environmental perception data, the following steps are also included: The system acquires vehicle status data and determines whether the warning trigger conditions are met based on the data. If the conditions are met, the system enters warning mode; otherwise, the process ends and waits to determine the vehicle status data for the next moment.

[0016] Furthermore, the alert triggering conditions include at least one of the following conditions: The collision sensor detected a collision, and the vehicle's speed was zero. The vehicle's airbags deployed; The driver manually activates the fault warning mode.

[0017] Furthermore, the alert triggering conditions also include: When a vehicle is detected to be stationary for a duration exceeding the fifth preset threshold, and the driver's status monitoring results are combined, it is determined that the warning triggering conditions are met.

[0018] Furthermore, the conditions for determining that a vehicle is stationary are: the vehicle speed is zero and the gear is in P gear; The driver status monitoring results include monitoring the driver's status through an in-vehicle camera and confirming that the triggering conditions are met when driver incapacitation is detected.

[0019] A vehicle warning mode control system includes: The data acquisition unit is used to acquire environmental perception data. The risk assessment unit determines the risk level of the current parking scenario based on environmental perception data; The instruction generation unit is used to generate warning beam control instructions based on the risk level. The beam control unit is used to project a warning beam into the area behind the vehicle based on warning beam control commands.

[0020] Furthermore, it also includes: The data acquisition unit is used to acquire vehicle status data; The condition judgment unit determines whether the warning trigger condition is met based on the vehicle status data. If the condition is met, the warning mode is activated; otherwise, the process ends and waits to judge the vehicle status data at the next moment.

[0021] An electronic device includes a memory and a processor, wherein a computer program is stored in the memory, and the processor executes the computer program to implement the above-described method.

[0022] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method.

[0023] The beneficial effects of this invention are: 1. The method of this invention can collect environmental perception data, realize the perception and recognition of the surrounding environment, analyze the current parking scene based on the acquired environmental perception data and output the corresponding risk level, and then project a warning beam according to the risk level. Compared with the prior art, this invention can dynamically adjust the warning beam according to the risk level, and the environmental adaptability is significantly improved. At the same time, the warning beam can replace the traditional manual placement of triangular warning signs, without the need for personnel to get out of the car to set them up, avoiding the safety hazards caused by manual placement of warning signs.

[0024] 2. The method of this invention is equipped with a warning mode, which can determine whether to enter the warning mode based on vehicle status data, realizing automatic triggering of the warning mode without manual activation. It can autonomously initiate subsequent environmental perception, risk level assessment, and warning beam projection processes when the vehicle meets the corresponding status conditions, providing timely and reliable response. This avoids the problem of delayed warnings due to human forgetfulness or operational oversight, further improving driving safety in parking scenarios.

[0025] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description and the drawings. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 A flowchart of a control method for a vehicle accident warning mode according to the present invention is shown; Figure 2 A logic block diagram of a vehicle accident warning mode control method according to the present invention is shown; Figure 3 A framework diagram of a vehicle accident warning mode control system according to the present invention is shown; Figure 4 A detailed implementation diagram of a vehicle accident warning mode control system according to the present invention is shown. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] like Figure 1 As shown, this embodiment of the invention provides a control method for a vehicle accident warning mode, the method comprising: S1: Acquire environmental perception data; S2: Determine the risk level of the current parking scenario based on the environmental perception data; S3: Generate a warning beam control command based on the risk level; S4: Based on the warning beam control command, project a warning beam into the area behind the vehicle.

[0030] In this embodiment, steps S1 and S2 utilize the collected data to determine the risk level of the current scenario according to preset logic. Step S3 then selects the most suitable wavelength (spectral parameter) for the current environment (e.g., strongest penetration) and the most suitable flashing or emitting mode (timing parameter) for the current risk (e.g., highest urgency) from the multi-wavelength light source array based on the determined risk level, forming a specific control command. Finally, step S4 drives the light source actuator to execute the command, generating and projecting a dynamically optimized warning beam. Together, these steps solve the technical problems of existing warning beams having fixed parameters and being unable to intelligently adapt to environmental changes and risk levels, achieving a comprehensive effect of dynamically adjusting the warning beam according to real-time conditions, thereby achieving optimal warning effect, graded early warning, and automated response.

[0031] Furthermore, before S1, vehicle status data can be acquired, and it can be determined whether the warning trigger conditions are met based on the vehicle status data. If they are met, the warning mode is entered; otherwise, the process ends and waits to determine the vehicle status data for the next moment. After entering the warning mode, S1-S4 can be executed.

[0032] Taking a specific application scenario as an example, suppose a vehicle collides and comes to a stop in dense fog. The system first acquires extremely low environmental visibility parameters through sensors. The collision sensor readings and the vehicle's zero speed meet the preset warning trigger conditions, and the warning mode is activated. Next, based on the environmental perception data of "extremely low visibility," the system determines it to be of a high-risk level through risk assessment logic. According to this high-risk level, the system matches an amber wavelength range (e.g., 580nm) with stronger penetrating power in dense fog and a high-frequency flashing pattern from a multi-wavelength light source array as target parameters to generate control commands. Finally, the multi-wavelength light source actuator is controlled to emit a high-frequency flashing amber warning beam, thereby achieving a longer effective warning distance than traditional fixed hazard lights in adverse weather conditions.

[0033] Further, S1 specifically includes: acquiring one or more of the following parameters: environmental visibility parameters, weather type parameters, ambient light intensity, distance to oncoming vehicles, and relative speed. Optionally, weather type parameters can be received through the vehicle-mounted communication unit; environmental visibility parameters, ambient light intensity, etc., can be calculated through the attenuation rate of infrared light from vehicle-mounted sensors; and weather type can be identified based on a deep learning model using image data from the vehicle-mounted camera.

[0034] It should be noted that S1 ensures that the data used for system decisions covers key environmental factors affecting beam penetration (visibility, weather, illumination) and core dynamic factors for assessing rear-end collision risk (distance, speed), providing comprehensive and necessary data input for subsequent accurate risk assessment. As a specific implementation method, environmental visibility parameters can be obtained through dedicated visibility sensors (such as those based on forward-facing camera image contrast algorithms), weather type parameters can be output through rainfall and light sensors combined with image classification models, ambient light intensity can be measured through ambient light sensors, and the distance and relative speed of vehicles approaching from behind can be obtained through onboard millimeter-wave radar or ultrasonic radar detection.

[0035] Further, S2 specifically includes: when the environmental visibility parameter is less than a first preset threshold, or when the weather type parameter indicates specific severe weather conditions, it is determined to be a first risk level; when the environmental visibility parameter is between the first preset threshold and a second preset threshold, it is determined to be a second risk level; when the environmental visibility parameter is greater than or equal to the second preset threshold and the ambient light intensity meets daytime conditions, it is determined to be a third risk level; when the relative speed is greater than the third preset threshold, or the distance is less than the fourth preset threshold, it is determined to be an extreme risk level.

[0036] It should be noted that S2's hierarchical logic maps complex, multi-dimensional environmental and risk data into discrete risk levels, making the matching of subsequent beam control strategies clear and efficient. Optionally, the first risk level corresponds to "severe weather" conditions, the second risk level to "low visibility" conditions, the third risk level to "normal visibility" conditions, and the highest risk level specifically targets "high rear-end collision risk" scenarios. This classification achieves a tiered early warning capability ranging from environmental adaptation to immediate risk response. As a specific implementation, the first preset threshold can be 50 meters, the second preset threshold can be 200 meters, the third preset threshold can be 30 km / h, and the fourth preset threshold can be 50 meters. Specific severe weather conditions can include fog, rain, snow, and dust storms. Meeting daytime conditions for ambient light intensity can refer to a light intensity greater than 10,000 lux.

[0037] Furthermore, combined Figure 2It can be seen that S3 specifically includes: when the risk level is the first risk level, the matched main wavelength range is between 575-585nm, and the strobe frequency is within the first strobe range; when the risk level is the second risk level, the matched main wavelength range is between 620-700nm, and the strobe frequency is within the second strobe range; when the risk level is the third risk level, the matched main wavelength range is between 590-600nm, and the strobe mode is constant light superimposed with low-frequency pulses; when the risk level is the extreme risk level, the matched light source type is a highly directional light source (laser light source), and a warning beam control command containing dynamic warning pattern projection is generated.

[0038] It should be noted that the S3 can output warning beams with optimal optical characteristics for different risk levels and environmental conditions. For example, amber light of 575-585nm has good penetration in foggy weather; red light of 620-700nm is conspicuous in low visibility; orange light of 590-600nm is sensitive to the human eye in bright daylight; and in the case of extreme risk, the highly directional light source projects a pattern that can create a strong visual impact and clear warning information, thus achieving classification. Optionally, the first strobe range can be a high-frequency strobe of 3-5Hz, the second strobe range can be a medium-frequency strobe of 1-2Hz, and the frequency of the low-frequency pulse can be below 1Hz.

[0039] Furthermore, the aforementioned warning triggering conditions include at least one of the following conditions: 1) the collision sensor detects a collision and the vehicle speed is zero; 2) the vehicle airbags deploy; 3) the driver manually activates the fault warning mode.

[0040] It should be noted that these conditions ensure the system activates only in genuine accidents, serious malfunctions, or when the driver has a clear warning request, preventing accidental triggering in everyday temporary parking scenarios and improving the system's usability and reliability. These conditions are strongly correlated with hazardous scenarios, guaranteeing the necessity of the system's response.

[0041] Furthermore, S4 specifically includes: when the risk level is the highest risk level, controlling a highly directional light source to project a dynamic warning pattern onto the road surface behind the vehicle.

[0042] It should be noted that in extremely high-risk situations (such as a vehicle approaching from behind at high speed), simply changing the color and frequency of the beam may not be enough to generate sufficient alertness. However, projecting dynamic warning patterns onto the road surface can create a striking and atypical visual signal on the ground, greatly enhancing the intensity and clarity of the warning to drivers behind, and providing more reaction time to avoid a collision.

[0043] It should be further explained that, in order to strictly avoid the projected laser beam from intruding into the driver's cabin of the vehicle behind and interfering with the driver's vision and causing glare, the highly directional light source adopts a downward directional projection method, so that all beams are constrained and projected onto the ground behind the vehicle, and no aerial scattered light is directed toward the area of ​​the vehicle behind.

[0044] Specifically, the size and projection distance of the warning pattern projected onto the ground behind the vehicle by the highly directional light source satisfy geometric constraints. The horizontal distance L1 from the near end of the pattern to the rear of the vehicle, the horizontal distance L2 from the far end of the pattern to the rear of the vehicle, and the horizontal distance Lc from the center of the pattern to the rear of the vehicle satisfy the following calculation formula: ; Where: H is the installation height of the highly directional light source above the ground, generally installed at the rear of the vehicle, in meters; W0 is the horizontal offset of the highly directional light source relative to the rear end face of the vehicle, with a positive value when the light source protrudes outwards from the rear of the vehicle and a negative value when it retracts inwards from the rear of the vehicle, in meters. Its purpose is to compensate for the positional deviation between the installation position of the light source and the reference end face of the rear of the vehicle, and to eliminate the projection distance calculation error caused by the recessed or protruding installation of the lamp, ensuring the accurate landing position of the pattern; θ is the downward angle of the center axis of the highly directional light source beam relative to the horizontal plane, in degrees; α is the half-divergence angle of the highly directional light source beam in the vertical direction, in degrees, and θ > α.

[0045] Optionally, the installation height H of the highly directional light source above the ground is 0.4m to 0.8m, the horizontal offset W0 relative to the rear end of the vehicle is -0.05m to 0.05m, the beam center depression angle θ is 10° to 15°, and the vertical half-divergence angle α is 0.5° to 1.5°. By strictly meeting the safety constraint that θ > α, the warning light spot can be stably projected onto the road surface area 2.5m to 3.0m behind the rear of the vehicle, achieving the best warning effect without the risk of glare.

[0046] Optionally, the dynamic warning pattern can be a "danger" symbol, an arrow, a striped light blanket, etc. Adjusting the scanning frequency can manifest as the pattern dynamically scanning forward, simulating the effect of the warning zone moving forward. When the risk level is extremely high, the system can simultaneously control the LED light source to emit a high-frequency flashing (e.g., 3-5Hz) red beam while projecting the pattern using a highly directional light source, forming a composite warning.

[0047] Furthermore, regarding the aforementioned dynamic warning pattern projection, the control of the highly directional light source to project the dynamic warning pattern onto the road surface behind the vehicle specifically includes: dynamically adjusting the projection range and / or scanning frequency of the dynamic warning pattern based on the real-time changes in the environmental perception data.

[0048] It should be noted that this dynamic adjustment method allows the presentation of warning patterns to match the real-time risk from behind. For example, when a vehicle approaching from behind gets closer, expanding the pattern projection area can cover a wider lane region; when a vehicle behind is detected to be slowing down, reducing the scanning frequency can convey a signal of reduced risk. This intelligent interaction further enhances the targeting and effectiveness of the warnings.

[0049] Furthermore, the power of the aforementioned highly directional light source does not exceed Class 1 level power, its beam projection direction is downward, and the beam cutoff height is no more than a preset height from the ground.

[0050] It should be noted that these safety restrictions ensure that the use of highly directional light sources (such as lasers) will not cause eye injury to other people on the road (such as oncoming drivers and pedestrians). Projecting the beam downwards and limiting the cutoff height ensures that the light energy only acts on the target road surface area, meeting human eye safety standards and improving the overall safety of the system. Optionally, Class 1 power refers to human eye-safe power, typically ≤0.39mW. The beam projection direction can be tilted downwards at 5°~15°, and the preset height can be 30 cm.

[0051] Furthermore, the aforementioned warning triggering conditions may also include: when the vehicle is detected to be stationary for a duration exceeding a fifth preset threshold (e.g., 10-30 seconds), and in conjunction with the driver's status monitoring results, determining that the warning triggering conditions are met.

[0052] It should be noted that this extended trigger condition can cover scenarios where there is no collision but the driver experiences a sudden illness or other incapacitation. A vehicle remaining stationary for an extended period without a driver responding normally constitutes a dangerous situation requiring alert. This condition allows the system to automatically activate in such scenarios, expanding the scope of safety protection.

[0053] Furthermore, the conditions for determining that the vehicle is stationary are: the vehicle speed is zero and the gear is in P gear; the driver status monitoring results include monitoring the driver's status through an in-vehicle camera, and confirming that the triggering conditions are met when driver incapacitation is detected.

[0054] It should be noted that the dual judgment of "zero vehicle speed and P gear" improves the accuracy of determining the stationary state and avoids misjudgment in congested traffic. Combined with the monitoring of the driver's posture and facial features by the in-vehicle camera, it can identify the driver's unconscious or other incapacitated state, thus forming a reliable enhanced triggering logic together with the prolonged stationary condition.

[0055] Furthermore, in S4, appropriate beam parameters can be selected from a multi-wavelength LED array to generate an alarm beam. This multi-wavelength LED array is selected from an RGB three-primary-color LED mixing module or a multi-wavelength laser diode combination.

[0056] It should be noted that using an RGB three-primary-color LED mixing module allows for the mixing of theoretically arbitrary colors through current control, achieving continuous adjustment of wavelength parameters and high flexibility. Meanwhile, using a combination of multi-wavelength laser diodes can provide monochromatic light with higher purity and better directionality, making it particularly suitable for scenarios requiring high directivity and specific wavelengths. These two approaches provide feasible hardware implementation paths for generating target spectral parameters.

[0057] Alternatively, the multi-wavelength light source array may also include an adjustable color temperature LED array, an LED and laser hybrid light source system, etc.

[0058] Furthermore, the aforementioned highly directional light source can be implemented using a power-limited Class 1 laser diode module. The multi-wavelength light source array can also consist of white LEDs and adjustable filters, with the dominant wavelength of the output beam changed by switching the filters. The aforementioned visibility can also be achieved by receiving visibility data from meteorological departments via vehicle-to-everything (V2X) communication. In addition, the specific values ​​of the aforementioned preset thresholds (such as the first to fifth preset thresholds) can be calibrated and adjusted according to vehicle model, regulatory requirements, or user preferences.

[0059] like Figure 3 The diagram shows a vehicle warning mode control system, comprising a data acquisition unit, a risk assessment unit, a command generation unit, a beam control unit, and a condition judgment unit. The data acquisition unit acquires vehicle status data; the condition judgment unit determines whether the warning trigger conditions are met based on the vehicle status data; if met, the warning mode is activated; otherwise, the process ends and waits to determine the vehicle status data for the next moment. The data acquisition unit acquires environmental perception data; the risk assessment unit determines the risk level of the current parking scenario based on the environmental perception data; the command generation unit generates a warning beam control command based on the risk level; and the beam control unit projects a warning beam towards the area behind the vehicle based on the warning beam control command.

[0060] It should be noted that, for the system implementation, since it basically corresponds to the method implementation, the relevant parts can be referred to in the description of the method implementation. The various units and modules of a vehicle warning mode control system are divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each unit are only for easy distinction and are not used to limit the scope of protection of the present invention.

[0061] like Figure 4 As shown, the control system can also be divided into a sensing module, a decision-making and control module, an execution module, and a power supply module. The power supply module provides power to the sensing module, decision-making and control module, and execution module. The sensing module is mainly used to collect environmental perception data and is equipped with sensing devices such as ambient light sensors, lidar, rain sensors, millimeter-wave radar, vehicle-mounted cameras, and collision sensors. The decision-making and control module can determine the risk level based on the environmental perception data and issue control commands for warning beams. This decision-making and control module can be configured with microcontrollers, memory, and other controllers. Finally, the execution module can be configured with a multi-wavelength LED array, a laser module, a taillight assembly, and other display devices.

[0062] This application also provides an electronic device. The electronic device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the control method as described in any of the foregoing embodiments. The electronic device may be a domain controller, a body controller, or a dedicated safety control unit in a vehicle.

[0063] This application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the control method as described in any of the foregoing embodiments.

[0064] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for a vehicle warning mode, characterized in that, include: Acquire environmental perception data; The risk level of the current parking scenario is determined based on the environmental perception data. Generate warning beam control instructions based on the risk level; Based on the warning beam control command, a warning beam is projected toward the area behind the vehicle.

2. The control method for a vehicle warning mode according to claim 1, characterized in that, Acquiring the environmental perception data includes the following steps: Acquire one or more of the following parameters: environmental visibility, weather type, ambient light intensity, distance to oncoming vehicles, and relative speed.

3. The control method for a vehicle warning mode according to claim 2, characterized in that, Determining the risk level of the current parking scenario based on the environmental perception data includes the following steps: When the environmental visibility parameter is less than a first preset threshold, or when the weather type parameter indicates specific severe weather conditions, it is determined to be at the first risk level. When the environmental visibility parameter is between a first preset threshold and a second preset threshold, it is determined to be at the second risk level; When the environmental visibility parameter is greater than or equal to the second preset threshold and the ambient light intensity meets the daytime conditions, it is determined to be at the third risk level. When the relative speed is greater than the third preset threshold, or the distance is less than the fourth preset threshold, it is determined to be a special risk level.

4. The control method for a vehicle warning mode according to claim 3, characterized in that, Generate warning beam control instructions based on the risk level, including the following steps: When the risk level is the first risk level, the main wavelength range of the matched beam is between 575-585nm, and the strobe frequency is 3~5Hz; When the risk level is the second risk level, the main wavelength range of the matched beam is between 620-700nm, and the strobe frequency is 1~2Hz; When the risk level is the third risk level, the matching main wavelength range is between 590-600nm, the strobe mode is constant light superimposed strobe, and the strobe frequency is less than 1Hz; When the risk level is the highest level, the matched light source type is a laser light source, and a warning beam control command containing a dynamic warning pattern projection is generated.

5. The control method for a vehicle warning mode according to claim 3, characterized in that, Based on the warning beam control command, projecting a warning beam into the area behind the vehicle includes the following steps: When the risk level is extremely high, the laser light source is controlled to project a dynamic warning pattern onto the road surface behind the vehicle.

6. The control method for a vehicle warning mode according to claim 5, characterized in that, Control the laser light source to project dynamic warning patterns onto the road behind the vehicle, including: Based on the real-time changes in the environmental perception data, the projection range and / or scanning frequency of the dynamic warning pattern are dynamically adjusted.

7. A control method for a vehicle warning mode according to claim 5 or 6, characterized in that, The power of the laser source is ≤0.39mW, the beam projection direction is downward, and the beam cutoff height is no more than a preset height from the ground.

8. The control method for a vehicle warning mode according to claim 1, characterized in that, Before acquiring environmental perception data, the following steps are also included: The system acquires vehicle status data and determines whether the warning trigger conditions are met based on the data. If the conditions are met, the system enters warning mode; otherwise, the process ends and waits to determine the vehicle status data for the next moment.

9. The control method for a vehicle warning mode according to claim 8, characterized in that, The alert triggering conditions include at least one of the following conditions: The collision sensor detected a collision, and the vehicle's speed was zero. The vehicle's airbags deployed; The driver manually activates the fault warning mode.

10. A control method for a vehicle warning mode according to claim 8 or 9, characterized in that, The warning triggering conditions also include: When a vehicle is detected to be stationary for a duration exceeding the fifth preset threshold, and the driver's status monitoring results are combined, it is determined that the warning triggering conditions are met.

11. The control method for a vehicle warning mode according to claim 10, characterized in that, The conditions for determining that the vehicle is stationary are: the vehicle speed is zero and the gear is in P gear; The driver status monitoring results include monitoring the driver's status through an in-vehicle camera, and confirming that the triggering conditions are met when driver incapacitation is detected.

12. A control system for a vehicle warning mode, characterized in that, include: The data acquisition unit is used to acquire environmental perception data. The risk assessment unit determines the risk level of the current parking scenario based on the environmental perception data; The instruction generation unit is used to generate warning beam control instructions based on the risk level. A beam control unit is used to project a warning beam into the area behind the vehicle based on the warning beam control command.

13. The vehicle warning mode control system according to claim 12, characterized in that, Also includes: The data acquisition unit is used to acquire vehicle status data; The condition judgment unit determines whether the warning trigger condition is met based on the vehicle status data. If the condition is met, the unit enters the warning mode; otherwise, the process ends and the unit waits to judge the vehicle status data at the next moment.

14. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and when the processor executes the computer program, it implements the control method as described in any one of claims 1 to 11.

15. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the control method as described in any one of claims 1 to 11.

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