Dot matrix headlight grouping control method and system based on preference multi-objective optimization algorithm

Abstract

The present invention provides a method and system for controlling grouping of dot matrix headlights based on a multi-objective optimization algorithm, and relates to the field of automobile lighting. The method of the present invention includes the following steps: Step 1, by modeling the rapidity and error of the dot matrix headlights when performing light type transformation at night, a function expression of rapidity and error is established; Step 2, establishing constraint conditions for the dot matrix headlights when performing light type transformation at night; Step 3, according to different accuracy and error when performing light type transformation, different weight coefficients are assigned to the function expression of error and accuracy in the objective function; Step 4: output the value obtained by solving the objective function in step 3 to the corresponding controller to control the headlights in groups. The present invention solves the problem that traditional dot matrix headlights cannot take into account both rapidity and error when performing light type transformation during night driving, and flexibly groups the dot matrix headlights. Improve the output effect.

Description

Technical Field

[0001] The invention belongs to the technical field of automobile lamp lighting, and is a dot matrix lamp grouping control method and system based on a multi-objective optimization algorithm of preference. Background Art

[0002] Headlights are important components to ensure the safe operation of automobiles. The longer the headlights' illumination distance and the more reasonable the light distribution characteristics, the safer the car will be. Lighting problems are often the main cause of traffic accidents when driving at night. When a car is driving, more than 95% of the external environment information is collected through human observation. The accuracy of the road, vehicle and other information observed by the driver will directly affect the safety of the car.

[0003] The intelligent control system of automobile headlights can automatically change the working state of the headlights according to the state of the vehicle, the conditions of the road and the external environment, produce a lighting pattern suitable for the current driving environment, and provide the driver with a more reasonable field of vision, which is of great significance for improving driving safety. The research and application of intelligent control systems for headlights is particularly important, which is of great significance for improving the safety of road traffic, protecting people’s lives and property, and developing my country’s automobile industry.

[0004] According to statistics, when vehicles are driving at night, they are affected by complex and changeable road conditions, which causes drivers to have large blind spots in their vision, interfering with their judgment of road conditions, easily leading to traffic accidents and causing damage to people's property safety. Summary of the invention

[0005] The present invention provides a method for controlling dot matrix headlights by grouping based on a multi-objective optimization algorithm based on preference. The method can solve the problem that the traditional dot matrix headlights cannot take into account both rapidity and error when performing light field transformation according to the complex and changeable driving environment during night driving. By modeling the rapidity and error of the dot matrix headlights during light field transformation, and combining the constraints of rapidity and error, a multi-objective optimization algorithm based on preference is proposed. The dot matrix headlights are flexibly grouped to improve the output effect.

[0006] The purpose of the present invention is achieved through the following technical solutions:

[0007] A method for controlling dot matrix headlights by grouping based on a multi-objective optimization algorithm based on preference includes the following steps:

[0008] Step 1: Model the rapidity and error of the dot matrix headlights when changing light patterns at night, and establish a function expression of the rapidity and error;

[0009] Take a dot matrix LED car light package containing M*N LED lamp beads. (M, N are positive integers), let X be the number of lamp beads contained in a single group, so there are groups

[0010] Rapidity: K1 is the time it takes for a single LED lamp bead to switch on and off once (this parameter can be determined by experiments and is determined by the characteristics of the LED lamp bead itself). Therefore, the time it takes for the entire light field to change once after grouping is:

[0011]

[0012] In formula (1), K1 is the time for a single LED lamp bead to switch on and off once, M*N is the number of lamp beads contained in the dot matrix headlight, and X is the number of lamp beads contained in a single group.

[0013] Error: It is characterized by the error e between the actual output light field and the ideal output light field. After analysis, the larger the number of lamp beads X contained in a single group, the larger the number of groups. The smaller the number of lamp beads X contained in a single group, the lower the resolution and the larger the error e. The larger the value, the higher the resolution and the smaller the error e.

[0014] Therefore, the error e is proportional to the number of lamp beads X contained in a single group and is proportional to the number of groups. Inversely proportional, the mathematical relationship is described as follows:

[0015]

[0016] K2 is the inverse proportional coefficient to the number of groups, M*N is the number of lamp beads contained in the dot matrix headlight, in formula (2):

[0017] X is the number of lamp beads contained in a single group.

[0018] Step 2: Establish the constraint conditions for the dot matrix headlights to transform their light patterns at night;

[0019] According to the human visual persistence time between 0.05 and 0.2 seconds, experiments show that if the scene has an intermittent light repetition frequency greater than 20 Hz, the visual impression of the scene is always retained, and the human eye has a sense of image continuity. Therefore, the constraint condition for rapidity is taken as:

[0020]

[0021] According to the requirements of the automotive industry, the error of light field switching during night driving is within ±5%. Therefore, the error constraint is taken as:

[0022]

[0023] In summary: The constraints are as follows:

[0024]

[0025] Step 3: In view of different accuracy and error during light type transformation, different weight coefficients are assigned to the function expressions of error and accuracy in the objective function;

[0026] Combining the conditions of error and accuracy, the linear weighted summation method is used to assign appropriate weight coefficients to the N objectives in the multi-objective optimization problem according to their importance. The sum of their products is used as the new objective function, and then the optimal solution is sought. In this paper, different weight coefficients are assigned to the objective functions (1) and (2) according to personal preferences. By solving them, a solution that meets personal preferences is obtained.

[0027] set up:

[0028]

[0029] Then the objective function is as follows:

[0030]

[0031] Step 4: Output the value obtained by solving the objective function in step 3 to the corresponding controller to control the lights in groups.

[0032] The value X obtained by solving the objective function is output to the corresponding controller to control the car lights, and its control effect is observed.

[0033] The present invention also provides a dot matrix headlight grouping control system based on a preference-based multi-objective optimization algorithm, including an acquisition unit for acquiring the current lighting environment of the car; a query unit for finding out the requirements for accuracy and error when the lighting light field is transformed at this time; a calculation unit for converting the above-mentioned accuracy and error requirements into corresponding constraints, and calculating the corresponding grouping values ​​according to the control algorithm; and a control unit for controlling the dot matrix headlights according to the corresponding values.

[0034] The beneficial effects are as follows:

[0035] The control method provided by the present invention first models the rapidity and error of the dot matrix headlights when performing light field transformation at night, establishes a function expression of rapidity and error, and on this basis establishes constraints of rapidity and error. When the light pattern is transformed, different weight coefficients are assigned to the function expression of error and accuracy in the objective function to achieve different requirements for accuracy and error; the corresponding numerical value is obtained by solving the objective function, and the headlights are grouped and controlled according to the numerical value. The problem that the traditional dot matrix headlights cannot take into account both rapidity and error when performing light pattern transformation during night driving is solved, and the dot matrix headlights are flexibly grouped. The output effect is improved.

[0036] The control system provided by the present invention can quickly and reasonably propose a grouping scheme when performing light field transformation in complex road conditions during night driving, taking into account the problems of rapidity and error, thereby improving the driving environment for the driver, avoiding the occurrence of traffic accidents and greatly improving the active safety of the car. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of a control system provided by the present invention;

[0038] Figure 2 This is a schematic diagram of the process of Example 1 of the present invention.

[0039] Figure 3 This is a schematic diagram of grouping values ​​of dot matrix headlights according to Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0040] The present invention is further described in detail below with reference to the accompanying drawings.

[0041] The present invention also provides a dot matrix headlight grouping control system based on a preference-based multi-objective optimization algorithm, including an acquisition unit for acquiring the current lighting environment of the car; a query unit for finding out the requirements for accuracy and error when the lighting light field is transformed at this time; a calculation unit for converting the above-mentioned accuracy and error requirements into corresponding constraints, and calculating the corresponding grouping values ​​according to the control algorithm; and a control unit for controlling the dot matrix headlights according to the corresponding values.

[0042] The control method provided by the present invention first models the rapidity and error of the dot matrix headlights when performing light field transformation at night, establishes a function expression of rapidity and error, and on this basis establishes constraints of rapidity and error. When the light pattern is transformed, different weight coefficients are assigned to the function expression of error and accuracy in the objective function to achieve different requirements for accuracy and error; the corresponding numerical value is obtained by solving the objective function, and the headlights are grouped and controlled according to the numerical value. The problem that the traditional dot matrix headlights cannot take into account both rapidity and error when performing light pattern transformation during night driving is solved, and the dot matrix headlights are flexibly grouped. The output effect is improved.

[0043] Example 1

[0044] A dot matrix headlight grouping control method based on a multi-objective optimization algorithm with preference is shown in the following figure. Figure 2 As shown, the following steps are included:

[0045] Step 1: Model the rapidity and error of the dot matrix headlights when changing light patterns at night, and establish a function expression of the rapidity and error;

[0046] Take a dot matrix LED car light package containing M*N LED lamp beads. (M, N are positive integers), let X be the number of lamp beads contained in a single group, so there are groups

[0047] Rapidity: K1 is the time it takes for a single LED lamp bead to switch on and off once (this parameter can be determined by experiments and is determined by the characteristics of the LED lamp bead itself). Therefore, the time it takes for the entire light field to change once after grouping is:

[0048]

[0049] In formula (1), K1 is the time for a single LED lamp bead to switch on and off once, M*N is the number of lamp beads contained in the dot matrix headlight, and X is the number of lamp beads contained in a single group.

[0050] Error: It is characterized by the error e between the actual output light field and the ideal output light field. After analysis, the larger the number of lamp beads X contained in a single group, the larger the number of groups. The smaller the number of lamp beads X contained in a single group, the lower the resolution and the larger the error e. The larger the value, the higher the resolution and the smaller the error e.

[0051] Therefore, the error e is proportional to the number of lamp beads X contained in a single group and is proportional to the number of groups. Inversely proportional, the mathematical relationship is described as follows:

[0052]

[0053] K2 is the inverse proportional coefficient to the number of groups, M*N is the number of lamp beads contained in the dot matrix headlight, and X is in formula (2):

[0054] The number of lamp beads contained in a single group.

[0055] Step 2: Establish the constraint conditions for the dot matrix headlights to transform their light patterns at night;

[0056] According to the human visual persistence time between 0.05 and 0.2 seconds, experiments show that if the scene has an intermittent light repetition frequency greater than 20 Hz, the visual impression of the scene is always retained, and the human eye has a sense of image continuity. Therefore, the constraint condition for rapidity is taken as:

[0057]

[0058] According to the requirements of the automotive industry, the error of light field switching during night driving is within ±5%. Therefore, the error constraint is taken as:

[0059]

[0060] In summary: The constraints are as follows:

[0061]

[0062] Step 3: In view of different accuracy and error during light type transformation, different weight coefficients are assigned to the function expressions of error and accuracy in the objective function;

[0063] Combining the conditions of error and accuracy, the linear weighted summation method is used to assign appropriate weight coefficients to the N objectives in the multi-objective optimization problem according to their importance. The sum of their products is used as the new objective function, and then the optimal solution is sought. In this paper, different weight coefficients are assigned to the objective functions (1) and (2) according to personal preferences. By solving them, a solution that meets personal preferences is obtained.

[0064] set up:

[0065]

[0066] Then the objective function is as follows:

[0067]

[0068] Step 4: Output the value obtained by solving the objective function in step 3 to the corresponding controller to control the lights in groups.

[0069] The value X obtained by solving the objective function is output to the corresponding controller to control the car lights, and its control effect is observed.

[0070] The present invention provides a method for controlling dot matrix headlights by grouping based on a multi-objective optimization algorithm based on preference. The method can solve the problem that the traditional dot matrix headlights cannot take into account both rapidity and error when performing light field transformation according to the complex and changeable driving environment during night driving. By modeling the rapidity and error of the dot matrix headlights during light field transformation, and combining the constraints of rapidity and error, a multi-objective optimization algorithm based on preference is proposed. The dot matrix headlights are flexibly grouped to improve the output effect.

[0071] The above description is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited to the above description. The present invention will not be limited to these examples shown herein. Any technician familiar with the technical field of the present invention and its inventive concept can make equivalent replacement or change, which should be included in the protection scope of the present invention.

Claims

1. A dot matrix headlight grouping control method based on a multi-objective optimization algorithm, comprising: The steps involved are as follows: Step 1: By modeling the rapidity and error of the dot matrix headlights when changing light patterns at night, establish the function expressions of rapidity and error: Take the dot matrix LED car light package contains M*N LED lamp beads, M, N are positive integers, let X be the number of lamp beads contained in a single group, so there are groups Rapidity: Let K1 be the time for a single LED lamp bead to switch on and off once. This parameter can be determined by experiments and is determined by the characteristics of the LED lamp bead itself. Therefore, the time for the entire light field to change once after grouping is: In formula (1): K1 is the time it takes for a single LED lamp bead to switch on and off once, M*N is the number of lamp beads contained in the dot matrix headlight, and X is the number of lamp beads contained in a single group; There is an error in step 1; Error: The error e between the actual output light field and the ideal output light field is used to characterize it. After analysis, the larger the number of lamp beads X contained in a single group, the larger the number of groups. The smaller the number of lamp beads X contained in a single group, the lower the resolution and the larger the error e. Conversely, the smaller the number of lamp beads X contained in a single group, the smaller the number of groups. The larger it is, the higher the resolution is and the smaller the error e is; Therefore, the error e is proportional to the number of lamp beads X contained in a single group and is proportional to the number of groups. Inversely proportional, the mathematical relationship is described as follows: In formula (2): K2 is the inverse proportional coefficient to the number of groups, M*N is the number of lamp beads contained in the dot matrix headlight, and X is the number of lamp beads contained in a single group; Step 2: Establish the constraint conditions for the dot matrix headlights to change their light patterns at night: when driving at night, the error of light field switching is within ±5%; Based on step 2, the persistence time of human vision is between 0.05 and 0.2 seconds. Experiments show that if the scene has an intermittent light repetition frequency greater than 20 Hz, the visual impression of the scene is always retained, and the human eye has a sense of image continuity. Therefore, the constraint condition for rapidity is taken as: According to the requirements of the automotive industry, the error of light field switching during night driving is within ±5%, so the error constraint is taken as: In summary: The constraints are as follows: Step 3: according to different rapidity and error during light type transformation, different weight coefficients are assigned to the function expressions of error and rapidity in the objective function; Step 4: Output the value obtained by solving the objective function in step 3 to the corresponding controller to control the lights in groups; The value X obtained by solving the objective function is output to the corresponding controller to control the car lights, and its control effect is observed.

2. The method for controlling dot matrix vehicle lights by grouping based on a multi-objective optimization algorithm according to claim 1, characterized in that: Based on step 3, combined with the conditions of error and rapidity, the linear weighted summation method is used to assign appropriate weight coefficients to the N objectives in the multi-objective optimization problem according to their importance. The sum of their products is used as the new objective function, and then the optimal solution is sought. According to personal preferences, different weight coefficients are assigned to the objective functions (1) and (2), and they are solved to obtain a solution that meets personal preferences. set up: Then the objective function is as follows:

3. A dot matrix headlight grouping control system based on a multi-objective optimization algorithm, which is applicable to the dot matrix headlight grouping control method based on a multi-objective optimization algorithm as described in claims 1-2, characterized in that: It includes an acquisition unit, which is used to acquire the current lighting environment of the car; A query unit, wherein the query unit finds out the requirements for speed and error when the illumination light field is transformed at this time; A calculation unit, which converts the above-mentioned requirements of rapidity and error into corresponding constraint conditions and calculates corresponding grouping values ​​according to the control algorithm; A control unit is used to control the dot matrix headlights according to the corresponding values.

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