Optimization method of pixel type headlamp

Abstract

The invention discloses an optimization method for a pixel type headlamp, and the method comprises the steps: optimizing the starting of an ADB function of the pixel type headlamp through limiting an effective recognition region of the ADB function; the method comprises the following steps: judging whether a vehicle is driven on a non-straight road by analyzing the driving condition of the vehicle, and compensating and optimizing the prediction angle of a pixel type headlamp ADB when the vehicle is driven on the non-straight road; whether a vehicle is in severe weather is judged by analyzing the driving environment of the vehicle, and when the vehicle is in the severe weather, the distance light type and the distance light type of the pixel type headlamp are optimized; and whether pedestrians exist or not is recognized, and when the pedestrians exist, the distance light type and the distance light type of the pixel type headlamp are optimized. According to the method, an effective target can be accurately recognized, according to the corresponding relation between the pixel type headlamp module and the ADB matrix control information, the LED angle brightness change of the corresponding partition of the high beam of the vehicle is adjusted in real time, visual dazzling caused by intersection of the high beam to a driver when the vehicle runs at the medium-high vehicle speed is reduced or even avoided, and the safety of night driving is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle lamp optimization, and in particular relates to an optimization method for pixel-type headlights. Background Art

[0002] As automotive functionality enters the intelligent development phase, headlights, a feature that has received relatively little attention from consumers, are also gradually entering the intelligent era. Although nighttime traffic volume is much lower than daytime, survey data shows that more than half of traffic accidents occur in poorly lit environments at night. Furthermore, inclement weather conditions pose significant challenges to drivers, contributing to a high accident rate. Therefore, how to maximize the safer and more intelligent functions of automotive lighting systems is gaining increasing attention.

[0003] Matrix headlights often have limited accuracy in adjusting light angles and controlling dark areas due to the limited number of light sources in the LED matrix. Pixel headlights have about three times the number of LED beads as matrix headlights, ensuring a larger lighting area and more precise light pattern adjustment. By integrating advanced machine vision technology, combining high-precision cameras, radars, and intelligent algorithms, they automatically identify and track the positions of vehicles and pedestrians in the same and opposite directions, promptly analyze the position and distance of the target (vehicle / pedestrian, etc.) relative to the vehicle, adjust the lighting area, reduce light interference to other traffic participants, and achieve real-time monitoring and processing of the traffic environment in front of the vehicle, thereby improving vehicle driving safety.

[0004] However, because the current mainstream pixel headlights mainly focus on lighting effects, there is a relative lack of optimization for application control. For example, many vehicles have the ADB function (Adaptive High Beam System), but in actual application, the conditions for activating this function are extremely strict. When there are too many glare points such as street lights, vehicles, and road signs in the driving environment, this function often cannot be activated. At the same time, in bad weather, when encountering rain or wet roads, the mirror reflection of the road surface will often cause glare to oncoming vehicles. In addition, when encountering pedestrians in the blind spot of the road driving or the target pedestrian cannot be distinguished, it is easy to cause danger. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for optimizing pixel headlights to solve the problems raised in the above background technology. The method for optimizing pixel headlights provided by the present invention has the characteristics of optimizing the light and improving nighttime driving safety.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for optimizing pixel headlights, comprising the following steps:

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

[0008] S2. Analyze the vehicle's driving conditions to determine whether it is traveling on a non-straight road. If so, optimize the predicted angle of the pixel headlight ADB.

[0009] S3. Analyze the vehicle's driving environment to determine whether it is in bad weather. If so, optimize the high and low beams of the pixel headlights.

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

[0011] Furthermore, in S1, the method for optimizing the activation of the ADB function of the pixel headlights includes the following steps:

[0012] S11: Limit 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 target recognized by the pixel headlight ADB function;

[0014] S13, collecting the relative radial distance L between the vehicle and the identification target, and determining whether the collected vertical angle α between the vehicle and the identification 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 a determination is made as to whether the ADB function is enabled.

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

[0017] Further in the present invention, 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 identification target, and the value range is [0, S], and H is the height value of the invalid light source on the driving road.

[0018] Furthermore, in the present invention, in S13, information collection of the identified target is performed based on the vehicle perception system, and the vehicle perception system includes but is not limited to a camera, a millimeter-wave radar, a laser radar or an ultrasonic radar.

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

[0020] Furthermore, in S2 of the present invention, the method for compensating and optimizing the predicted angle of the pixel headlight ADB includes the following steps:

[0021] S21, the vehicle light controller obtains its own driving parameters and determines 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 recognition area, collect angle information of the valid target through the vehicle perception system;

[0023] S23, performing data fusion and preprocessing on angle information of valid targets, adding a predicted angle λ to the horizontal and vertical angles based on the driving direction, and adjusting the pixel-based headlight pattern for compensation;

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

[0025] Furthermore, in the present invention, in S3, when in bad weather, the method for optimizing the high and low beam types of the pixel headlights 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 glare spots reflected on the road surface;

[0027] S32. If yes, transmit the data information to the vehicle light controller and enter the severe weather mode;

[0028] S33. When a valid target exists within the effective recognition area, radial distance and angle information between the valid target and the vehicle is collected, and based on the preset correspondence between the pixel-type headlight module and the low-beam control information, the lighting angle and intensity of the low-beam partition corresponding to the valid target are adjusted to dynamically shield the valid target traveling in front of the vehicle.

[0029] Furthermore, in the present invention, in S4, when a pedestrian is present, the method for optimizing the high and low beam types of the pixel headlights includes the following steps:

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

[0031] S42: If the pedestrian exists, collect the angle information of the pedestrian in the effective recognition area and determine the high and low beam partitions of the corresponding pixel-type headlights;

[0032] S43. Based on the preset correspondence between the pixel headlight module and the ADB matrix control information, the driver is controlled to adjust the brightness of the corresponding partition and execute the pixel headlight high and low beam partition strobe.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. By limiting the effective recognition area, the present invention can delete invalid glare points in the area, accurately identify effective targets, and improve the utilization rate of the ADB function in road driving environments. It also generates control instructions based on the information of the effective targets. According to the correspondence between the pixel-type headlight module and the ADB matrix control information, it adjusts the angle and brightness of the corresponding LED in the vehicle's high beam in real time, reducing or even avoiding the visual glare caused to the driver by the intersection of high beams when driving at medium and high speeds, thereby ensuring safety when driving at night.

[0035] 2. When a vehicle is on a non-straight road, the present invention increases the predicted angle according to the driving direction for compensation. The predicted angle compensation value can be calibrated according to the vehicle to prevent the traffic participants in front from being dazzled by the high beam of the rear vehicle when the driving direction changes, thereby ensuring night driving safety.

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

[0037] 4. When the present invention effectively identifies the presence of pedestrians in the area, it controls the driver to adjust the brightness of the corresponding partition based on the pre-set correspondence between the pixel headlight module and the ADB matrix control information, and executes the pixel headlight high and low beam partition flashing to alert the driver and pedestrians, thereby improving nighttime road driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0039] Figure 2 Schematic diagram of the effective recognition area in Example 1 of the present invention.

[0040] Figure 3 Schematic diagram of the effective recognition area in Example 2 of the present invention.

[0041] Figure 4 Schematic diagram of the effective recognition area in Example 3 of the present invention.

[0042] Figure 5 Schematic diagram of the effective identification area in Example 4 of the present invention. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0044] Example 1

[0045] See also Figure 1 and Figure 2 The present invention provides the following technical solution: a method for optimizing pixel headlights, comprising the following steps:

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

[0047] S2. Analyze the vehicle's driving conditions to determine whether it is traveling on a non-straight road. If so, optimize the predicted angle of the pixel headlight ADB.

[0048] S3. Analyze the vehicle's driving environment to determine whether it is in bad weather. If so, optimize the high and low beams of the pixel headlights.

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

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

[0051] S11: Limit 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 target recognized by the pixel headlight ADB function;

[0053] S13, collecting the relative radial distance L between the vehicle and the identification target, and determining whether the collected vertical angle α between the vehicle and the identification 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 a determination is made as to whether the ADB function is enabled.

[0055] S15. If the vertical angle α of the recognition target is greater than the effective vertical angle θ, it is determined that the recognition 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 identification target, and the value range is [0, S], and H is the height value of the invalid light source on the driving road. In this embodiment, H = 10m.

[0057] The corresponding table is as follows:

[0058]

[0059] Specifically, in S13, information of the identified target is collected based on the vehicle perception system, and the vehicle perception system includes but is not limited to a camera, a millimeter-wave radar, a lidar, or an ultrasonic radar.

[0060] Specifically, in S14, if the identified target is within the valid range and is confirmed to be valid, the data information of the valid target is transmitted to the ADB lighting control module in combination with the current vehicle speed and ambient light intensity. Based on the correspondence between the pixel headlight module and the ADB matrix control information, a target control instruction 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, the present invention can delete invalid glare points (such as street lights) in the effective identification area through the limitation of the effective identification area, accurately identify effective targets, improve the utilization rate of the ADB function in the road driving environment, and generate control instructions based on the information of the effective target. According to the correspondence between the pixel headlight module and the ADB matrix control information, the angle brightness change of the corresponding partition LED of the vehicle's high beam is adjusted in real time, reducing or even avoiding the visual glare caused to the driver by the intersection of high beams when driving at medium and high speeds, thereby ensuring the safety of driving at night.

[0062] Example 2

[0063] See also Figure 3 The difference between this embodiment and embodiment 1 is that: Specifically, in S2, the method for compensating and optimizing the predicted angle of the pixel headlight ADB includes the following steps:

[0064] S21, the vehicle light controller obtains its own driving parameters and determines 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 recognition area, collect angle information of the valid target through the vehicle perception system;

[0066] S23, performing data fusion and preprocessing on angle information of valid targets, adding a predicted angle λ to the horizontal and vertical angles based on the driving direction, and adjusting the pixel-based headlight pattern for compensation;

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

[0068] By adopting the above technical solution, when the vehicle is on a non-straight road, the present invention increases the predicted angle λ according to the driving direction for compensation. The predicted angle compensation value can be calibrated according to the vehicle, preventing the traffic participants in front from being dazzled by the high beam of the rear vehicle when the driving direction changes, thereby ensuring night driving safety.

[0069] Example 3

[0070] See also Figure 4 The difference between this embodiment and embodiment 1 is that: Specifically, in S3, when in bad weather, the method for optimizing the high and low beam types of the pixel headlights 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 spots reflected by water on the road;

[0072] S32. If yes, transmit the data information to the vehicle light controller and enter the severe weather mode;

[0073] S33. When a valid target exists within the effective recognition area, radial distance and angle information between the valid target and the vehicle is collected, and based on the preset correspondence between the pixel-type headlight module and the low-beam control information, the lighting angle and intensity of the low-beam partition corresponding to the valid target are adjusted to dynamically shield the valid target traveling in front of the vehicle.

[0074] By adopting the above technical solution, when the vehicle is in bad weather, the present invention adjusts the angle and brightness changes of the corresponding partitioned LEDs of the vehicle's high beam and low beam based on the correspondence between the pixel headlight module and the high and low beam partition control information, thereby improving driving safety in bad weather conditions at night.

[0075] Example 4

[0076] See also Figure 5 The difference between this embodiment and embodiment 1 is that: Specifically, in S4, when there is a pedestrian, the method for optimizing the high and low beam types of the pixel headlights includes the following steps:

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

[0078] S42: If the pedestrian exists, collect the angle information of the pedestrian in the effective recognition area and determine the high and low beam partitions of the corresponding pixel-type headlights;

[0079] S43. Based on the preset correspondence between the pixel headlight module and the ADB matrix control information, the driver is controlled to adjust the brightness of the corresponding partition and execute the pixel headlight high and low beam partition strobe.

[0080] By adopting the above technical solution, when the present invention effectively identifies the presence of pedestrians in the area, it controls the driver to adjust the brightness of the corresponding partition based on the pre-set correspondence between the pixel headlight module and the ADB matrix control information, and executes the pixel headlight high and low beam partition flashing to remind the driver and pedestrians, thereby improving nighttime road driving safety.

[0081] In summary, the present invention can delete invalid glare points (such as street lights) in the area by limiting the effective recognition area, accurately identify effective targets, improve the utilization rate of the ADB function in the road driving environment, and generate control instructions based on the information of the effective target. According to the correspondence between the pixel headlight module and the ADB matrix control information, the angle and brightness changes of the corresponding partitioned LEDs of the vehicle's high beam are adjusted in real time, reducing or even avoiding the visual glare caused to the driver by the intersection of high beams when driving at medium and high speeds, thereby ensuring the safety of night driving. When the vehicle is on a non-straight road, the present invention increases the predicted angle λ according to the driving direction for compensation. The predicted angle compensation value can be calibrated according to the vehicle to prevent the traffic participants in front from being dazzled by the high beams of the rear vehicle when the driving direction changes, thereby ensuring the safety of night driving. When the vehicle is in bad weather, the present invention adjusts the angle and brightness changes of the corresponding partitioned LEDs of the vehicle's high beam and low beam based on the correspondence between the pixel headlight module and the high and low beam partition control information, thereby improving the driving safety in bad weather conditions at night. When the present invention effectively identifies the presence of pedestrians in the area, it controls the driver to adjust the brightness of the corresponding partition based on the pre-set correspondence between the pixel headlight module and the ADB matrix control information, and executes the pixel headlight high and low beam partition flashing to alert the driver and pedestrians, thereby improving nighttime road driving safety.

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

Claims

1. A method for optimizing pixel headlights, characterized in that: The following steps are involved: S1. Optimize the activation of the ADB function for pixel-type headlights by limiting the effective recognition area of the ADB function; S2. Analyze the vehicle's driving conditions to determine whether it is traveling on a non-straight road. If so, optimize the predicted angle of the pixel headlight ADB. S3. Analyze the vehicle's driving environment to determine whether it is in bad weather. If so, optimize the high and low beams of the pixel headlights. S4. Identify whether there are pedestrians. If there are pedestrians, optimize the high and low beam types of the pixel headlights.

2. The method for optimizing a pixel headlight according to claim 1, wherein: In S1, the method for optimizing the activation of the ADB function of the pixel headlights includes the following steps: S11: Limit 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 target recognized by the pixel headlight ADB function; S13, collecting the relative radial distance L between the vehicle and the identification target, and determining whether the collected vertical angle α between the vehicle and the identification 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 a determination is made as to whether the ADB function is enabled. S15. If the vertical angle α of the recognition target is greater than the effective vertical angle θ, it is determined that the recognition target is not within the effective recognition area, and no action is performed.

3. The method for optimizing a pixel headlight according to claim 2, wherein: 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 identification target, and the value range is [0, S], and H is the height value of the invalid light source on the driving road.

4. The method for optimizing a pixel headlight according to claim 2, wherein: In S13, information of the identified target is collected based on the vehicle perception system, and the vehicle perception system includes but is not limited to a camera, a millimeter-wave radar, a laser radar, or an ultrasonic radar.

5. The method for optimizing pixel headlights according to claim 2, wherein: In S14, if the identified target is within the valid range, the target is confirmed to be valid. Combined with 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.

6. The method for optimizing a pixel headlight according to claim 1, wherein: In S2, the method for compensating and optimizing the predicted angle of the pixel headlight ADB includes the following steps: S21, the vehicle light controller obtains its own driving parameters and determines 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 recognition area, collect angle information of the valid target through the vehicle perception system; S23, performing data fusion and preprocessing on angle information of valid targets, adding a predicted angle λ to the horizontal and vertical angles based on the driving direction, and adjusting the pixel-based headlight pattern for compensation; S24 , transmitting the effective target data information after adding the predicted angle λ compensation to the ADB lighting control module, and controlling the driver to execute the corresponding ADB function.

7. The method for optimizing a pixel headlight according to claim 1, wherein: In S3, when in bad weather, the method for optimizing the high and low beam types of the pixel headlights 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 glare spots reflected on the road surface; S32. If yes, transmit the data information to the vehicle light controller and enter the severe weather mode; S33. When a valid target exists within the effective recognition area, radial distance and angle information between the valid target and the vehicle is collected, and based on the preset correspondence between the pixel-type headlight module and the low-beam control information, the lighting angle and intensity of the low-beam partition corresponding to the valid target are adjusted to dynamically shield the valid target traveling in front of the vehicle.

8. The method for optimizing a pixel headlight according to claim 1, wherein: In S4, when a pedestrian is present, the method for optimizing the high and low beam types of the pixel headlights includes the following steps: S41. Collect information through the vehicle perception system to determine whether there are pedestrians in the effective recognition area; S42: If the pedestrian exists, collect the angle information of the pedestrian in the effective recognition area and determine the high and low beam partitions of the corresponding pixel-type headlights; S43. Based on the preset correspondence between the pixel headlight module and the ADB matrix control information, the driver is controlled to adjust the brightness of the corresponding partition and execute the pixel headlight high and low beam partition strobe.

Images