A method for optimizing a pixelated headlight

Abstract

The application discloses an optimization method of a pixel big lamp, which comprises the following steps: limiting an effective identification area of an ADB function to optimize the ADB function of the pixel big lamp; analyzing the driving condition of a vehicle to determine whether the vehicle is driving on a non-straight road, and compensating and optimizing the prediction angle of the ADB of the pixel big lamp when the vehicle is driving on the non-straight road; analyzing the driving environment of the vehicle to determine whether the vehicle is in severe weather, and optimizing the high-beam and low-beam type of the pixel big lamp when the vehicle is in the severe weather; and identifying whether there is a pedestrian, and optimizing the high-beam and low-beam type of the pixel big lamp when the pedestrian exists. The application can accurately identify an effective target, adjust the corresponding partition LED angle luminance variation of the high-beam of the vehicle in real time according to the corresponding relationship between the pixel big lamp module and the ADB matrix control information, reduce or even avoid the visual blinding of the driver caused by the intersection of the high-beam when driving at a medium or high speed, and ensure the safety of night driving.

Description

Technical Field

[0001] This invention belongs to the field of vehicle headlight optimization technology, specifically relating to an optimization method for pixel-type headlights. Background Technology

[0002] As automotive functions enter the stage of intelligent development, headlights, a feature that doesn't receive much attention from consumers, are also gradually entering the intelligent era. Although traffic volume at night is far lower than during the day, survey data shows that more than half of traffic accidents occur in poorly lit environments at night. Meanwhile, adverse weather conditions pose significant challenges to drivers, leading to persistently high accident rates. Therefore, how to make the most of automotive lighting systems more safely and intelligently has received increasing attention.

[0003] Matrix headlights often have limited precision in adjusting the angle of light and controlling dark areas due to the limited number of LED light sources in the LED matrix. Pixel headlights, on the other hand, have approximately three times the number of LEDs as matrix headlights, ensuring a larger illumination area and more precise light pattern adjustment. By integrating advanced machine vision technology, combining high-precision cameras, radar, and intelligent algorithms, they automatically identify and track the positions of vehicles and pedestrians traveling in the same or opposite direction. They analyze the position and distance of targets (vehicles / pedestrians, etc.) relative to the vehicle in real time, adjust the light illumination area, reduce light interference to other road users, and achieve real-time monitoring and processing of the traffic environment ahead of the vehicle, thereby improving driving safety.

[0004] However, current mainstream pixel-style headlights primarily focus on lighting effects, with relatively little optimization for application control. For example, many vehicles have ADB (Adaptive High Beam) functionality, but in practice, its activation conditions are extremely stringent. When there are too many glare points in the driving environment, such as streetlights, other vehicles, and road signs, the function often fails to activate. Furthermore, in inclement weather, when encountering rain or wet roads, the mirror reflection from the road surface frequently causes glare to oncoming vehicles. In addition, encountering pedestrians in blind spots or when pedestrians are difficult to distinguish can easily lead to danger. Summary of the Invention

[0005] The purpose of this invention is to provide an optimization method for pixel-type headlights to solve the problems mentioned in the background section. The pixel-type headlight optimization method provided by this invention optimizes the headlights and improves nighttime driving safety.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an optimization method for pixel-type headlights, comprising the following steps:

[0007] S1. Optimize the activation of pixel-type headlight ADB function by limiting the effective recognition area of ​​the ADB function;

[0008] S2. By analyzing the vehicle's driving conditions, determine whether it is driving on a non-straight road. When driving on a non-straight road, compensate and optimize the prediction angle of the pixel headlight ADB.

[0009] S3. By analyzing the vehicle's driving environment, determine whether it is in severe weather. When in severe weather, optimize the high and low beam patterns of the pixel headlights.

[0010] S4. Identify whether there are pedestrians. When pedestrians are present, optimize the high and low beam patterns of the pixel headlights.

[0011] In this invention, further, in S1, the method for optimizing the activation of the pixel-type headlight ADB function includes the following steps:

[0012] S11, the effective target distance S for pixel-type headlight ADB function recognition;

[0013] S12. Based on the effective target distance S, limit the effective vertical angle θ of the pixel-type headlight ADB function to identify the target.

[0014] S13. Collect the relative radial distance L between the vehicle and the target, and determine whether the collected vertical angle α between the vehicle and the target is less than or equal to the effective vertical angle θ.

[0015] S14. If the vertical angle α of the identified target is less than or equal to the effective vertical angle θ, the identified target is determined to be within the effective identification area, the identified target is locked as a valid target, and it is determined whether to enable the ADB function.

[0016] S15. If the vertical angle α of the target is greater than the effective vertical angle θ, it is determined that the target is not within the effective recognition area, and no action is performed.

[0017] In this invention, further, in S12, the effective target distance S = 250m, the effective vertical angle θ = arcsin(H / L), where L is the relative radial distance between the vehicle and the identified target, with a value range of [0,S], and H is the height value of the invalid light source in the driving road.

[0018] In this invention, in step S13, information about the target is collected based on a vehicle perception system, which includes, but is not limited to, a camera, millimeter-wave radar, lidar, or ultrasonic radar.

[0019] In this invention, in step S14, if the identified target is within the effective range, the target is confirmed to be valid. Combining the current vehicle speed and ambient light intensity, the data information of the valid target is transmitted to the ADB lighting control module. Based on the correspondence between the pixel headlight module and the ADB matrix control information, the driver is controlled to execute the corresponding ADB function.

[0020] In this invention, further, in S2, the method for compensating and optimizing the prediction angle of pixel-type headlight ADB includes the following steps:

[0021] S21. The vehicle light controller obtains its own driving parameters to determine whether the vehicle is on a non-straight road.

[0022] S22. If the vehicle is on a non-straight road and there is a valid target within the effective identification area, the angle information of the valid target will be collected through the vehicle perception system.

[0023] S23. Perform data fusion and preprocessing on the angle information of the effective target, add the predicted angle λ to the horizontal and vertical angles according to the driving direction, and adjust the pixel headlight pattern for compensation.

[0024] S24. The effective target data information after adding the predicted angle λ compensation is transmitted to the ADB lighting control module, and the driver is controlled to execute the corresponding ADB function.

[0025] Furthermore, in S3, the method for optimizing the high and low beam patterns of the pixel-type headlights during inclement weather includes the following steps:

[0026] S31. Collect information through the vehicle perception system to determine whether the current environment is rainy or foggy and whether there are road surface reflection glare points;

[0027] S32. If present, the data information is transmitted to the headlight controller to enter the severe weather mode;

[0028] S33. When there is a valid target in the effective identification area, collect the radial distance and angle information between the valid target and the vehicle. Based on the preset correspondence between the pixel-type headlight module and the low beam control information, adjust the light illumination angle and intensity of the low beam zone corresponding to the valid target to dynamically mask the valid target traveling in front of the vehicle.

[0029] In this invention, further, in S4, the method for optimizing the high and low beam patterns of the pixel-type headlights when a pedestrian is present includes the following steps:

[0030] S41. Collect information through the vehicle perception system to determine whether there are pedestrians in the effective identification area;

[0031] S42. If present, collect the angle information of pedestrians within the effective identification area and determine the high and low beam zones of the corresponding pixel-type headlights.

[0032] S43. Based on the pre-set correspondence between the pixel-type headlight module and the ADB matrix control information, control the driver to adjust the brightness of the corresponding zone and execute the pixel-type headlight high and low beam zone strobe.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] 1. This invention effectively identifies and defines the area, thereby eliminating invalid glare points within the area, accurately identifying valid targets, improving the utilization rate of ADB function in the road driving environment, and generating control commands based on the information of valid targets. According to the correspondence between the pixel-type headlight module and the ADB matrix control information, the brightness changes of the corresponding LED angle of the vehicle's high beam are adjusted in real time, reducing or even avoiding visual glare to the driver caused by the convergence of high beams when driving at medium and high speeds, thus ensuring the safety of night driving.

[0035] 2. When a vehicle is on a non-straight road, the present invention compensates by adding a predicted angle based on the direction of travel. The predicted angle compensation value can be calibrated according to the vehicle to prevent road users in front from being dazzled by the high beams of vehicles behind when the direction of travel changes, thus ensuring driving safety at night.

[0036] 3. When the vehicle is in severe weather, the present invention adjusts the angle and brightness of the LEDs in the corresponding zones of the high beam and low beam of the vehicle based on the correspondence between the pixel headlight module and the high and low beam zone control information according to the pixel headlight controller, thereby improving driving safety in severe weather conditions at night.

[0037] 4. When a pedestrian is effectively identified in the area, the present invention controls the driver to adjust the brightness of the corresponding zone according to the pre-set correspondence between the pixel headlight module and the ADB matrix control information, and executes the pixel headlight high and low beam zone strobe to remind the driver and pedestrians and improve the safety of driving on the road at night. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the process of the present invention.

[0039] Figure 2 This is a schematic diagram of the effective identification area in Embodiment 1 of the present invention.

[0040] Figure 3 This is a schematic diagram of the effective identification area in Embodiment 2 of the present invention.

[0041] Figure 4 This is a schematic diagram of the effective identification area in Embodiment 3 of the present invention.

[0042] Figure 5 This is a schematic diagram of the effective identification area in Embodiment 4 of the present invention. Detailed Implementation

[0043] 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, and 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.

[0044] Example 1

[0045] Please see Figure 1 and Figure 2 The present invention provides the following technical solution: an optimization method for pixel-type headlights, comprising the following steps:

[0046] S1. Optimize the activation of pixel-type headlight ADB function by limiting the effective recognition area of ​​the ADB function;

[0047] S2. By analyzing the vehicle's driving conditions, determine whether it is driving on a non-straight road. When driving on a non-straight road, compensate and optimize the prediction angle of the pixel headlight ADB.

[0048] S3. By analyzing the vehicle's driving environment, determine whether it is in severe weather. When in severe weather, optimize the high and low beam patterns of the pixel headlights.

[0049] S4. Identify whether there are pedestrians. When pedestrians are present, optimize the high and low beam patterns of the pixel headlights.

[0050] Specifically, in S1, the method for optimizing the ADB function activation of pixel-type headlights includes the following steps:

[0051] S11, the effective target distance S for pixel-type headlight ADB function recognition;

[0052] S12. Based on the effective target distance S, limit the effective vertical angle θ of the pixel-type headlight ADB function to identify the target.

[0053] S13. Collect the relative radial distance L between the vehicle and the target, and determine whether the collected vertical angle α between the vehicle and the target is less than or equal to the effective vertical angle θ.

[0054] S14. If the vertical angle α of the identified target is less than or equal to the effective vertical angle θ, the identified target is determined to be within the effective identification area, the identified target is locked as a valid target, and it is determined whether to enable the ADB function.

[0055] S15. If the vertical angle α of the target is greater than the effective vertical angle θ, it is determined that the target is not within the effective recognition area, and no action is performed.

[0056] Specifically, in S12, the effective target distance S = 250m, the effective vertical angle θ = arcsin(H / L), where L is the relative radial distance between the vehicle and the identified target, with a value range of [0, S], and H is the height of the invalid light source in the driving road, which in this embodiment is H = 10m.

[0057] The corresponding table is as follows:

[0058]

[0059] Specifically, in S13, information about the target is collected based on the vehicle perception system, which includes, but is not limited to, cameras, millimeter-wave radar, lidar, or ultrasonic radar.

[0060] Specifically, in S14, if the identified target is within the valid range, the target is confirmed to be valid. Combining the current vehicle speed and ambient light intensity, the data information of the valid target is transmitted to the ADB lighting control module. Based on the correspondence between the pixel headlight module and the ADB matrix control information, a target control command is generated and transmitted to the driver in real time to control the driver to execute the corresponding ADB function.

[0061] By adopting the above technical solution, this invention can effectively identify and limit the area, thereby deleting invalid glare points (e.g., streetlights) within the area, accurately identifying valid targets, improving the utilization rate of ADB function in the road driving environment, and generating control commands based on the information of valid targets. Based on the correspondence between the pixel-type headlight module and the ADB matrix control information, the brightness changes of the corresponding LED angles of the vehicle's high beams are adjusted in real time, reducing or even avoiding visual glare to the driver caused by the convergence of high beams when driving at medium to high speeds, thus ensuring the safety of nighttime driving.

[0062] Example 2

[0063] Please see Figure 3 The difference between this embodiment and embodiment 1 is that, specifically, in S2, the method for compensating and optimizing the prediction angle of the pixel-type headlight ADB includes the following steps:

[0064] S21. The vehicle light controller obtains its own driving parameters to determine whether the vehicle is on a non-straight road.

[0065] S22. If the vehicle is on a non-straight road and there is a valid target within the effective identification area, the angle information of the valid target will be collected through the vehicle perception system.

[0066] S23. Perform data fusion and preprocessing on the angle information of the effective target, add the predicted angle λ to the horizontal and vertical angles according to the driving direction, and adjust the pixel headlight pattern for compensation.

[0067] S24. The effective target data information after adding the predicted angle λ compensation is transmitted to the ADB lighting control module, and the driver is controlled to execute the corresponding ADB function.

[0068] By adopting the above technical solution, when a vehicle is on a non-straight road, the present invention compensates by increasing the predicted angle λ according to the driving direction. The predicted angle compensation value can be calibrated according to the vehicle to prevent road users in front from being dazzled by the high beams of vehicles behind when the driving direction changes, thus ensuring driving safety at night.

[0069] Example 3

[0070] Please see Figure 4 The difference between this embodiment and embodiment 1 is that, specifically, in S3, the method for optimizing the high and low beam patterns of the pixel-type headlights in severe weather includes the following steps:

[0071] S31. Collect information through the vehicle perception system to determine whether the current environment is rainy or foggy and whether there are glare points reflected by water on the road surface;

[0072] S32. If present, the data information is transmitted to the headlight controller to enter the severe weather mode;

[0073] S33. When there is a valid target in the effective identification area, collect the radial distance and angle information between the valid target and the vehicle. Based on the preset correspondence between the pixel-type headlight module and the low beam control information, adjust the light illumination angle and intensity of the low beam zone corresponding to the valid target to dynamically mask the valid target traveling in front of the vehicle.

[0074] By adopting the above technical solution, when the vehicle is in severe weather, the present invention adjusts the angle and brightness of the corresponding LED zones of the high beam and low beam of the vehicle based on the correspondence between the pixel headlight module and the high and low beam zone control information according to the pixel headlight controller, thereby improving driving safety in severe weather conditions at night.

[0075] Example 4

[0076] Please see Figure 5 The difference between this embodiment and embodiment 1 is that, specifically, in S4, the method for optimizing the high and low beam patterns of the pixel-type headlights when pedestrians are present includes the following steps:

[0077] S41. Collect information through the vehicle perception system to determine whether there are pedestrians in the effective identification area;

[0078] S42. If present, collect the angle information of pedestrians within the effective identification area and determine the high and low beam zones of the corresponding pixel-type headlights.

[0079] S43. Based on the pre-set correspondence between the pixel-type headlight module and the ADB matrix control information, control the driver to adjust the brightness of the corresponding zone and execute the pixel-type headlight high and low beam zone strobe.

[0080] By adopting the above technical solution, when a pedestrian is effectively identified in the area, the present invention controls the driver to adjust the brightness of the corresponding zone according to the pre-set correspondence between the pixel-type headlight module and the ADB matrix control information, and executes the pixel-type headlight high and low beam zone strobe to remind the driver and pedestrians and improve the safety of nighttime road driving.

[0081] In summary, this invention, by effectively identifying the defined area, can eliminate invalid glare points (e.g., streetlights) within that area, accurately identify valid targets, improve the utilization rate of ADB (Adaptive Driving Control) in the road driving environment, and generate control commands based on the information of valid targets. Based on the correspondence between the pixel-type headlight module and the ADB matrix control information, it adjusts the angle and brightness changes of the corresponding LED zones of the vehicle's high beams in real time, reducing or even avoiding visual glare to the driver caused by the convergence of high beams at medium to high speeds, ensuring nighttime driving safety. When the vehicle is on a non-straight-ahead road, this invention adds a predicted angle λ for compensation based on the driving direction. The predicted angle compensation value can be calibrated according to the vehicle to prevent road users ahead from being glared by the high beams of vehicles behind when their driving direction changes, ensuring nighttime driving safety. When the vehicle is in severe weather, this invention, based on the correspondence between the pixel-type headlight module and the high and low beam zone control information, adjusts the angle and brightness changes of the corresponding LED zones of the vehicle's high and low beams, improving driving safety in severe nighttime weather conditions. When a pedestrian is effectively identified in the area, this invention controls the driver to adjust the brightness of the corresponding zone based on the pre-set correspondence between the pixel-type headlight module and the ADB matrix control information, and executes the pixel-type headlight high and low beam zone strobe to remind the driver and pedestrians, thereby improving the safety of nighttime road driving.

[0082] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An optimization method for pixel-type headlights, characterized in that, Includes the following steps: S1. Optimize the activation of pixel-type headlight ADB function by limiting the effective recognition area of ​​the ADB function; S2. By analyzing the vehicle's driving conditions, determine whether it is driving on a non-straight road. When driving on a non-straight road, compensate and optimize the prediction angle of the pixel headlight ADB. S3. By analyzing the vehicle's driving environment, determine whether it is in severe weather. When in severe weather, optimize the high and low beam patterns of the pixel headlights. S4. Identify whether there are pedestrians. When there are pedestrians, optimize the high and low beam patterns of the pixel headlights. In step S1, the method for optimizing the activation of the pixel-type headlight ADB function includes the following steps: S11, the effective target distance S for pixel-type headlight ADB function recognition; S12. Based on the effective target distance S, limit the effective vertical angle θ of the pixel-type headlight ADB function to identify the target. S13. Collect the relative radial distance L between the vehicle and the target, and determine whether the collected vertical angle α between the vehicle and the target is less than or equal to the effective vertical angle θ. S14. If the vertical angle α of the identified target is less than or equal to the effective vertical angle θ, the identified target is determined to be within the effective identification area, the identified target is locked as a valid target, and it is determined whether to enable the ADB function. S15. If the vertical angle α of the target is greater than the effective vertical angle θ, it is determined that the target is not within the effective recognition area, and no action is performed.

2. The optimization method for pixel-type headlights according to claim 1, characterized in that: In S12, the effective target distance S = 250m, the effective vertical angle θ = arcsin(H / L), where L is the relative radial distance between the vehicle and the identified target, with a value range of [0,S], and H is the height of the invalid light source in the driving road.

3. The optimization method for pixel-type headlights according to claim 1, characterized in that: In step S13, information about the target is collected based on the vehicle perception system, which includes, but is not limited to, cameras, millimeter-wave radar, lidar, or ultrasonic radar.

4. The optimization method for pixel-type headlights according to claim 1, characterized in that: In step S14, if the identified target is within the valid range, the target is confirmed to be valid. Combining the current vehicle speed and ambient light intensity, the data information of the valid target is transmitted to the ADB lighting control module. Based on the correspondence between the pixel headlight module and the ADB matrix control information, the driver is controlled to execute the corresponding ADB function.

5. The optimization method for pixel-type headlights according to claim 1, characterized in that: In step S2, the method for compensating and optimizing the prediction angle of pixel-type headlight ADB includes the following steps: S21. The vehicle light controller obtains its own driving parameters to determine whether the vehicle is on a non-straight road. S22. If the vehicle is on a non-straight road and there is a valid target within the effective identification area, the angle information of the valid target will be collected through the vehicle perception system. S23. Perform data fusion and preprocessing on the angle information of the effective target, add the predicted angle λ to the horizontal and vertical angles according to the driving direction, and adjust the pixel headlight pattern for compensation. S24. The effective target data information after adding the predicted angle λ compensation is transmitted to the ADB lighting control module, and the driver is controlled to execute the corresponding ADB function.

6. The optimization method for pixel-type headlights according to claim 1, characterized in that: In step S3, the method for optimizing the high and low beam patterns of pixel-type headlights during severe weather includes the following steps: S31. Collect information through the vehicle perception system to determine whether the current environment is rainy or foggy and whether there are road surface reflection glare points; S32. If present, the data information is transmitted to the headlight controller to enter the severe weather mode; S33. When there is a valid target in the effective identification area, collect the radial distance and angle information between the valid target and the vehicle. Based on the preset correspondence between the pixel-type headlight module and the low beam control information, adjust the light illumination angle and intensity of the low beam zone corresponding to the valid target to dynamically mask the valid target traveling in front of the vehicle.

7. The optimization method for pixel-type headlights according to claim 1, characterized in that: In step S4, the method for optimizing the high and low beam patterns of pixel-type headlights when pedestrians are present includes the following steps: S41. Collect information through the vehicle perception system to determine whether there are pedestrians in the effective identification area; S42. If present, collect the angle information of pedestrians within the effective identification area and determine the high and low beam zones of the corresponding pixel-type headlights. S43. Based on the pre-set correspondence between the pixel-type headlight module and the ADB matrix control information, control the driver to adjust the brightness of the corresponding zone and execute the pixel-type headlight high and low beam zone strobe.

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