CN114861291A - Rearview mirror parameter optimization method and system, readable storage medium and computer equipment - Google Patents
Rearview mirror parameter optimization method and system, readable storage medium and computer equipment Download PDFInfo
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Abstract
The invention provides a rearview mirror parameter optimization method, a rearview mirror parameter optimization system, a readable storage medium and computer equipment, wherein the method is applied to a vehicle to be tested and comprises the following steps: obtaining internal parameters of a vehicle to be tested, and inputting the internal parameters into a preset driving model so that the driving model can calculate the optimal driving posture of the vehicle to be tested according to the internal parameters; acquiring an A column parameter of a vehicle to be tested and position information of two eyes of a driver in an optimal driving posture, wherein the A column parameter at least comprises an A column size and an A column position parameter; calculating the blind area angle of the A column according to the size of the A column, the position parameter of the A column and the position information of two eyes; inputting the A column blind area angle into a preset checking model to obtain rearview mirror optimization parameters of the vehicle to be detected; and acquiring rearview mirror parameters of the vehicle to be detected, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters. The front visual area of the driver is effectively improved through the optimization and control of the front corner visual field, and the driving safety is further improved.
Description
Technical Field
The invention relates to the technical field of automobile safety, in particular to a rearview mirror parameter optimization method, a rearview mirror parameter optimization system, a readable storage medium and computer equipment.
Background
The visual field of the environment outside the vehicle is particularly important for driving safety during the driving process of the driver, and the relevant design of the visual field outside the vehicle of the driver mainly comprises the following steps: the front view blind area of the driver, the front view of 180 degrees, the up-down view of the driver, the A column obstacle angle, the view range seen through the inside and outside rearview mirrors and the like. In all visual field analyses, shelter from that A post and outside rear-view mirror shell arouse jointly is that front angle field blind area concerns less, and front angle field blind area is very big to straight line driving and when turning driving, especially when turning about, front angle field blind area is bigger, pedestrian or the electric motor car outside the car can't be discerned completely more, need the driver to go a car safely through the position of sitting of adjustment self, and front angle field blind area is little, and the driver can easily acquire the environment outside the car, more does benefit to driving safety.
The front angle view is the range of the outside view that the driver can see through the a-pillar and the mirror housing of the rearview mirror, and only the obstacle angle of the a-pillar is considered in the current design of the front angle view. In the design process, the numerical value of the A column obstacle angle is not more than 6 degrees, and the size of the A column obstacle angle is determined by comprehensively considering the model of the competitive products; the shape of the outer rearview mirror shell, the structure of the outer rearview mirror base and the triangular area of the side window glass are closely related to the front corner view, so that the view control is lacked in the design and development of the current automobile, and the safety problem which cannot be ignored is easily caused.
Disclosure of Invention
Based on this, the present invention provides a method, a system, a readable storage medium and a computer device for optimizing parameters of a rearview mirror, so as to solve at least the above-mentioned deficiencies in the related art.
The invention provides a rearview mirror parameter optimization method, which is applied to a vehicle to be tested and comprises the following steps:
acquiring internal parameters of the vehicle to be tested, and inputting the internal parameters into a preset driving model so that the driving model can calculate the optimal driving posture of the vehicle to be tested according to the internal parameters;
acquiring the parameters of the A column of the vehicle to be tested and the position information of two eyes of a driver under the optimal driving posture, wherein the parameters of the A column at least comprise the size of the A column and the position parameters of the A column;
calculating the A column blind area angle according to the A column size, the A column position parameter and the two-eye position information;
inputting the A column blind area angle into a preset checking model to obtain rearview mirror optimization parameters of the vehicle to be detected;
and acquiring rearview mirror parameters of the vehicle to be detected, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.
Further, before the step of obtaining the internal parameters of the vehicle to be tested, the method includes:
acquiring body data of a plurality of drivers, and simulating the driving process of the plurality of drivers by using RAMIS software;
inputting seat data, steering wheel data, instrument desk data and pedal data into each driving process, and adding function item test data of the vehicle to be tested in each driving process to obtain a plurality of processed driving processes;
carrying out attitude calculation on each processed driving process to obtain multiple kinds of normal driving attitude data and other driving attitude data;
and generating a corresponding driving model according to the normal driving posture data and the other driving posture data.
Further, the internal parameters include a seat position parameter, a steering wheel position parameter, and a pedal position parameter, and the step of calculating, by the driving model, the optimal driving posture of the vehicle to be tested according to the internal parameters includes:
inputting the seat position parameter, the steering wheel position parameter and the pedal position parameter into the driving model to obtain corresponding normal driving posture data;
inputting the normal driving data, the seat position parameters, the steering wheel position parameters and the pedal position parameters into the RAMIS software to simulate driving, and generating corresponding simulated driving results;
and determining the optimal driving posture according to the simulated driving result.
Further, before the step of inputting the a-pillar blind zone angle into a preset checking model, the method further includes:
acquiring rearview mirror parameters and A-column parameters of various vehicle types on the market, and sequentially recording the rotation center point of the head of a driver when the driver observes the left and right rearview mirrors of various vehicle types;
positioning the positions of two eyes of the driver in a preset range of each rotation central point, and correspondingly calculating the blind area angle of each rearview mirror and the blind area angle of each A column according to each position of two eyes, each rearview mirror parameter and each A column parameter;
and constructing a checking model according to the blind area angle of each rearview mirror, the blind area angle of each A column and the standard blind area angle.
Further, the step of inputting the angle of the pillar a blind area into a preset checking model to obtain the rearview mirror optimization parameters of the vehicle to be detected comprises:
inputting the A column blind area angle into the checking model to obtain a corresponding rearview mirror blind area angle range;
and calculating the inner and outer edge points and the angle of the rearview mirror by utilizing the angle range of the blind area of the rearview mirror.
The invention also provides a rearview mirror parameter optimization system, which is applied to a vehicle to be tested, and comprises the following components:
the first acquisition module is used for acquiring internal parameters of the vehicle to be detected and inputting the internal parameters into a preset driving model so that the driving model can calculate the optimal driving posture of the vehicle to be detected according to the internal parameters;
the second acquisition module is used for acquiring the column A parameters of the vehicle to be detected and the position information of two eyes of the driver under the optimal driving posture, wherein the column A parameters at least comprise the column A size and the column A position parameters;
the first processing module is used for calculating the A column blind area angle according to the A column size, the A column position parameter and the two-eye position information;
the second processing module is used for inputting the A column blind area angle into a preset checking model to obtain rearview mirror optimization parameters of the vehicle to be detected;
and the optimization module is used for acquiring rearview mirror parameters of the vehicle to be tested and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.
Further, the system further comprises:
the simulation module is used for acquiring body data of a plurality of drivers and simulating the driving process of the plurality of drivers by using the RAMIS software;
the control module is used for inputting seat data, steering wheel data, instrument desk data and pedal data into each driving process, adding functional item test data of the vehicle to be tested into each driving process and obtaining a plurality of processed driving processes;
the calculation module is used for carrying out posture calculation on each processed driving process to obtain multiple kinds of normal driving posture data and other driving posture data;
and the third processing module is used for generating a corresponding driving model according to the normal driving posture data and the other driving posture data.
Further, the internal parameters include a seat position parameter, a steering wheel position parameter, and a pedal position parameter, and the first obtaining module includes:
the first calculation unit is used for inputting the seat position parameter, the steering wheel position parameter and the pedal position parameter into the driving model so as to obtain corresponding normal driving posture data;
the second calculation unit is used for inputting the normal driving data, the seat position parameters, the steering wheel position parameters and the pedal position parameters into the RAMIS software to perform simulated driving and generate corresponding simulated driving results;
and the third calculation unit is used for determining the optimal driving posture according to the simulation driving result.
Further, the system further comprises:
the third acquisition module is used for acquiring rearview mirror parameters and A column parameters of various vehicle types on the market and sequentially recording the rotation center point of the head of a driver when the driver observes the left and right rearview mirrors of various vehicle types;
the fourth processing module is used for positioning the positions of the two eyes of the driver in the preset range of each rotation central point and correspondingly calculating the blind area angle of each rearview mirror and the blind area angle of each A column according to each position of the two eyes, each rearview mirror parameter and each A column parameter;
and the construction module is used for constructing a checking model according to the blind area angle of each rearview mirror, the blind area angle of each A column and the standard blind area angle.
Further, the second processing module comprises:
the processing unit is used for inputting the A column blind area angle into the checking model so as to obtain a corresponding rearview mirror blind area angle range;
and the fourth calculating unit is used for calculating the inner and outer edge points and the rearview mirror angle of the rearview mirror by utilizing the rearview mirror blind area angle range.
The invention also proposes a readable storage medium on which a computer program is stored which, when being executed by a processor, implements the above-mentioned rearview mirror parameter optimization method.
The invention further provides a computer device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned rearview mirror parameter optimization method when executing the computer program.
Compared with the prior art, the invention has the beneficial effects that: the optimal driving posture is calculated through the internal parameters of the vehicle to be tested, the corresponding A column blind area angle is calculated according to the A column parameters and the two eye positions under the optimal driving posture, the corresponding rearview mirror optimization parameters are obtained according to the A column blind area angle, further, in the design process, the rearview mirror position and the size are optimized through the rearview mirror optimization parameters, meanwhile, the front angle view of the driver is analyzed through the A column blind area angle and the rearview mirror blind area angle, through optimization and control of the front angle view, the front visual area of the driver is effectively improved, and the driving safety is further improved.
Drawings
FIG. 1 is a flow chart of a method for optimizing rearview mirror parameters according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the head rotation center and the two eye positions when the driver observes the left pillar A according to the embodiment of the present invention;
FIG. 3 is a schematic view of a left front corner view of a driver according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the analysis of the right front corner view of the driver in the embodiment of the present invention
FIG. 5 is a flowchart of a rearview mirror parameter optimization method according to a second embodiment of the present invention;
FIG. 6 is a structural frame of a rearview mirror parameter optimizing system according to a third embodiment of the present invention;
fig. 7 is a structural frame body of a computer device in a fourth embodiment of the present invention.
Description of the main element symbols:
the following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, a method for optimizing parameters of a rearview mirror in a first embodiment of the present invention is shown, and the method specifically includes steps S101 to S104:
s101, obtaining internal parameters of the vehicle to be tested, and inputting the internal parameters into a preset driving model so that the driving model can calculate the optimal driving posture of the vehicle to be tested according to the internal parameters;
in practical implementation, it should be noted that, in the present application, the internal parameters include, but are not limited to, a seat position parameter, a steering wheel position parameter, and a pedal position parameter of the vehicle to be tested;
further, the seat position parameter, the steering wheel position parameter and the pedal position parameter are input into a preset driving model, and it can be understood that the driving model may be a mathematical model generated correspondingly to the result of the comfort test on various vehicle types through human body three-dimensional modeling at the initial design stage, and may also be an initial preset mathematical model, and the optimal driving posture of various vehicle types is stored in the driving model.
S102, acquiring an A column parameter of the vehicle to be tested and the position information of two eyes of a driver in the optimal driving posture, wherein the A column parameter at least comprises an A column size and an A column position parameter;
in the step, the two-eye position information of the driver in front of the front view, the two-eye position information of the left A column and the two-eye position information of the right A column are respectively calculated according to the optimal driving posture; for example: referring to fig. 2, point P1 in fig. 2 is the center point of head rotation when the driver views the left a-pillar; a straight line is made by connecting the point P1 with the center point of the left A column, a first plane is designed on the straight line and is parallel to the Y axis of the vehicle, and E1 and E2 are the positions of the left eye and the right eye of the driver on the first plane respectively; the A-pillar position parameter comprises a relative position parameter of the A-pillar on the vehicle to be measured.
S103, calculating the A column blind area angle according to the A column size, the A column position parameter and the two-eye position information;
in specific implementation, the blind area angle of the A column is calculated through the size of the A column, the position parameter of the A column and the positions of E1 and E2 points;
specifically, referring to fig. 3 to 4, the distribution of the left a pillar is calculated according to the position parameter of the left a pillar and the size of the left a pillar, where the distribution includes an innermost point M1 and an outermost point M2 of the left a pillar, a line L3 connecting a left eye position E1 and the outermost point M2 is a blind area edge line of the left a pillar, a line L2 connecting an E2 point and the innermost point M1 is a blind area edge line of the right a pillar, and an included angle between the blind area edge line L2 and the blind area edge line L3 is a blind area angle α 1 of the left a pillar;
similarly, in fig. 4, point P2 is the head rotation center point when the driver views the right a-pillar; a straight line is made by connecting the point P1 with the center point of the right A column, a second plane is designed on the straight line in parallel with the Y axis of the vehicle, and E3 and E4 are the positions of the left eye and the right eye of the driver on the second plane respectively;
and calculating the distribution condition of the right column A according to the position parameters of the right column A and the size of the right column A, wherein the distribution condition comprises an innermost point M3 and an outermost point M4 of the right column A, a connecting line L3 ' between a right eye position E4 and the innermost point M3 is a blind area side line of the right column A, a connecting line L2 ' between a E3 point and the outermost point M4 is a blind area side line of the right column A, and an included angle between the blind area side line L2 ' and a blind area side line L3 ' is a blind area angle alpha 1 ' of the right column A.
S104, inputting the A column blind area angle into a preset checking model to obtain rearview mirror optimization parameters of the vehicle to be detected;
in specific implementation, it should be noted that the checking model may be a mathematical model generated by correspondingly generating a result of measuring the front angle view of each vehicle type by a modeling method at the initial stage of design, and may also be an initially preset mathematical model, and the checking model stores the optimal front angle view range of each vehicle type.
Further, the blind area angle α 1 of the left a column and the blind area angle α 1' of the right a column are input into a check model, and rearview mirror optimization parameters of the vehicle to be tested are calculated through the check model, wherein the rearview mirror optimization parameters include, but are not limited to, a rearview mirror optimization size and a rearview mirror optimization angle.
And S105, obtaining rearview mirror parameters of the vehicle to be tested, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.
In specific implementation, rearview mirror parameters of the vehicle to be tested are obtained, wherein the rearview mirror parameters comprise the current size of a rearview mirror and the current angle of the rearview mirror, and it should be understood that the size of the rearview mirror in the application is the size of a rearview mirror shell, and the angle of the rearview mirror is the integral angle of the rearview mirror shell; the size of the rearview mirror and the angle of the rearview mirror are optimized to adjust the size of the current rearview mirror and the angle of the current rearview mirror, so that the front visual area of a driver in the driving process is maximized on the premise of ensuring the function of the rearview mirror, and the driving safety is improved.
In summary, in the method for optimizing parameters of a rearview mirror in the above embodiment of the present invention, the optimal driving posture is calculated according to the internal parameters of the vehicle to be tested, the corresponding a-pillar blind area angle is calculated according to the a-pillar parameter and the positions of both eyes in the optimal driving posture, and the corresponding rearview mirror optimization parameter is obtained according to the a-pillar blind area angle, so that in the design process, the position and size of the rearview mirror are optimized according to the rearview mirror optimization parameter, the front angle view of the driver is analyzed according to the a-pillar blind area angle and the rearview mirror blind area angle, and the front visual area of the driver is effectively improved by optimizing and controlling the front angle view, so as to improve the driving safety.
Example two
Referring to fig. 5, a method for optimizing parameters of a rearview mirror in a second embodiment of the present invention is shown, and the method specifically includes steps S201 to S216:
s201, acquiring body data of a plurality of drivers, and simulating the driving process of the plurality of drivers by using RAMIS software;
first, it should be noted that, in order to obtain the driving postures of the driver in various vehicle types, the following factors are generally considered:
(1) the driving comfort and fatigue degree of the driver, and the incorrect driving posture easily causes fatigue, which lowers the working efficiency.
(2) The steering comfort, the steering range of the human body, which is the area that the human body can control (reach) in a normal driving posture, is a necessary condition for determining a steering wheel, a joystick, various control buttons, on-off keys, and the like.
(3) The arrangement positions of the three pedals are designed to make the human body in a comfortable driving posture. During the pedaling process, the human body should also keep moving in a comfortable driving posture, and the leg of the human body should be ensured to be in an optimal force application posture.
(4) The field of view, driver field of view, includes a forward field of view, an A-pillar blind spot field of view, a dashboard field of view, and the like.
In specific implementation, the body data of a plurality of drivers are acquired, wherein the body data includes, but is not limited to, height, leg length, and eyepoint height, a human body model is built according to the body data, the human body size distribution approximately conforms to a normal distribution, the density distribution function of the human body size is as follows (1), and the human body size function is as follows (2):
in the above formula, x represents a human body size (mm), m represents an average value, and s represents a standard deviation.
F (5) represents a 5-percentile human body, the height of the female 5-percentile human body is 1484mm according to the Chinese adult human body size, F (95) represents a 95-percentile human body, the height of the male 95-percentile human body is 1775mm according to the Chinese adult human body size, the automobile design needs to meet the operation comfort of the 5-percentile female human body and the 95-percentile male human body, namely the operation requirements of the height of 1484mm-1775mm are met, and the driving process of a plurality of drivers is normally simulated by using the RAMIS software.
S202, inputting seat data, steering wheel data, instrument desk data and pedal data into each driving process, and adding function item test data of the vehicle to be tested into each driving process to obtain a plurality of processed driving processes;
s203, carrying out posture calculation on each processed driving process to obtain multiple kinds of normal driving posture data and other driving posture data;
s204, generating a corresponding driving model according to the normal driving posture data and the other driving posture data;
in specific implementation, the RAMIS software is utilized to normally simulate the driving process of a plurality of drivers, the required boundary data mainly comprise seat slide rail travel, a steering wheel, an instrument desk, three pedals and the like, and the boundary data such as a carpet, a center console, a gear lever, windshield glass and a top cover lining can be input into the corresponding simulation process;
restraining a human body H point in a seat adjusting stroke, restraining a right sole on a carpet, restraining a right heel on 1/3 accelerator pedal stroke, restraining a left heel on the carpet, restraining a left sole on a footrest, holding a steering wheel by both palms, selecting a Grasp softly posture by the palms, and performing posture calculation to obtain three normal driving postures of the human body;
in the process of task restriction of a human body, a seat, a pedal, a steering wheel, a front visual field, an instrument desk, a peripheral control piece and a head space need to be comprehensively considered, a human body R point is finally determined and fixed, the human body R point is stored as a driving posture 1, on the basis of the driving posture, simulation of other tasks is carried out, a left side key of the instrument desk is touched, and a driving posture 2 is stored; selecting a proper position of a finger and a proper palm model, adjusting an air conditioner air inlet poking sheet, and storing a driving posture 3; operating the gear shift lever to save the driving posture 4; the human visual field line is constrained at the center of the combination instrument, the head and the eyes rotate simultaneously, calculation is carried out, and the posture 5 of normally watching the combination instrument is output.
And performing attitude calculation on the processed driving process to obtain various normal driving attitude data and other driving attitude data, and generating a corresponding driving model by using the normal driving attitude data and the other driving attitude data.
S205, obtaining internal parameters of the vehicle to be tested, and inputting the internal parameters into a driving model, wherein the internal parameters comprise seat position parameters, steering wheel position parameters and pedal position parameters;
in practical implementation, it should be noted that, in the present application, the internal parameters include, but are not limited to, a seat position parameter, a steering wheel position parameter, and a pedal position parameter of the vehicle to be tested;
further, the seat position parameter, the steering wheel position parameter and the pedal position parameter are input into the driving model, so that the driving model forms corresponding data according to the relevant parameters.
S206, inputting the seat position parameter, the steering wheel position parameter and the pedal position parameter into the driving model to obtain corresponding normal driving posture data;
s207, inputting the normal driving data, the seat position parameters, the steering wheel position parameters and the pedal position parameters into the RAMIS software to perform simulated driving, and generating corresponding simulated driving results;
s208, determining an optimal driving posture according to the simulated driving result;
in specific implementation, each piece of normal driving posture data is scored by using the RAMIS software, the total score is 8, and the larger the score is, the more uncomfortable the driver is. Scores of 0-2.5 indicate better comfort; 2.5-5.5 represent general comfort levels, suitable for most human postures; scores above 5.5 indicate that comfort is low and uncomfortable and need to be optimised and improved. The following table 1 is an example of a comfort analysis table of a certain vehicle type:
TABLE 1 comfort of a certain vehicle type
The corresponding optimal driving posture is calculated according to the analysis of table 1.
S09, acquiring column A parameters of the vehicle to be tested and the position information of two eyes of the driver in the optimal driving posture, wherein the column A parameters at least comprise column A size and column A position parameters;
in the step, the two-eye position information of the driver in front of the front view, the two-eye position information of the left A column and the two-eye position information of the right A column are respectively calculated according to the optimal driving posture; for example: referring to fig. 2, point P1 in fig. 2 is the center point of the head rotation when the driver views the left a pillar; a straight line is made by connecting the point P1 with the center point of the left A column, a first plane is designed on the straight line and is parallel to the Y axis of the vehicle, and E1 and E2 are the positions of the left eye and the right eye of the driver on the first plane respectively; the A-pillar position parameter comprises a relative position parameter of the A-pillar on the vehicle to be measured.
S210, calculating the A column blind area angle according to the A column size, the A column position parameter and the two-eye position information;
in specific implementation, the blind area angle of the A column is calculated through the size of the A column, the position parameter of the A column and the positions of E1 and E2 points;
specifically, referring to fig. 3 to 4, the distribution of the left a pillar is calculated according to the position parameter of the left a pillar and the size of the left a pillar, where the distribution includes an innermost point M1 and an outermost point M2 of the left a pillar, a line L3 connecting a left eye position E1 and the outermost point M2 is a blind area edge line of the left a pillar, a line L2 connecting an E2 point and the innermost point M1 is a blind area edge line of the right a pillar, and an included angle between the blind area edge line L2 and the blind area edge line L3 is a blind area angle α 1 of the left a pillar;
similarly, in fig. 4, point P2 is the head rotation center point when the driver views the right a-pillar; a straight line is made by connecting the point P1 with the center point of the right A column, a second plane is designed on the straight line in parallel with the Y axis of the vehicle, and E3 and E4 are the positions of the left eye and the right eye of the driver on the second plane respectively;
and calculating the distribution condition of the right column A according to the position parameters of the right column A and the size of the right column A, wherein the distribution condition comprises an innermost point M3 and an outermost point M4 of the right column A, a connecting line L3 ' between a right eye position E4 and the innermost point M3 is a blind area side line of the right column A, a connecting line L2 ' between a E3 point and the outermost point M4 is a blind area side line of the right column A, and an included angle between the blind area side line L2 ' and a blind area side line L3 ' is a blind area angle alpha 1 ' of the right column A.
S211, obtaining rearview mirror parameters and A column parameters of various vehicle types on the market, and sequentially recording the rotation center point of the head of a driver when the driver observes the left rearview mirror and the right rearview mirror of various vehicle types;
s212, positioning the positions of the two eyes of the driver in a preset range of each rotation central point, and correspondingly calculating the blind area angle of each rearview mirror and the blind area angle of each A column according to each position of the two eyes, each rearview mirror parameter and each A column parameter;
s213, establishing a checking model according to the blind area angle of each rearview mirror, the blind area angle of each A column and the standard blind area angle;
in specific implementation, rearview mirror parameters and A column parameters of various vehicle types on the market are obtained, the rotation central point of the head of a driver is sequentially recorded when the driver observes left and right rearview mirrors of various vehicle types, the positions of two eyes of the driver are positioned in the 180-degree visual range of each rotation central point, and the blind area angle of each rearview mirror and the blind area angle of each A column are correspondingly calculated according to each two-eye position, each rearview mirror parameter and each A column parameter;
constructing a checking model according to the blind area angle of each rearview mirror, the blind area angle of each A column and the standard blind area angle; in the application, the standard blind area angle is a blind area angle when a front angle view of a driver is optimal when the driver drives a vehicle, and the data can be preset, and also can be used for constructing corresponding standard blind area angle data by measuring the front angle view of various vehicle types and the driving posture of the driver at the initial design stage.
S214, inputting the A column blind area angle into the checking model to obtain a corresponding rearview mirror blind area angle range;
in specific implementation, the blind area angle α 1 of the left column a and the blind area angle α 1' of the right column a are input to the check model to obtain the corresponding blind area angle range of the rearview mirror.
Specifically, the corresponding blind area angle range of the rearview mirror is calculated by using the standard blind area angle, the blind area angle α 1 of the left column a and the blind area angle α 1' of the right column a, please refer to fig. 3, a projection tangent line L4 at the inner side of the left rearview mirror is made by connecting a left eye position E1 point on a first plane, and an included angle between a tangent line L4 and a connecting line L3 is a visible angle α 2 passing through the left rearview mirror and the left column a;
connecting a left eye position E1 point on a first plane to form a projection tangent L5 outside the left rearview mirror, wherein an included angle between a tangent L5 and a tangent L4 is a blind area angle alpha 3 of the left rearview mirror, and an included angle between a tangent L5 and a connecting line L2 is a total visual field blind area theta 1 of the left rearview mirror and a left column A;
similarly, referring to fig. 4, a projection tangent line L4 ' at a point E4 connecting the right eye on the first plane is taken as a projection tangent line L4 ' of the inner side of the right rearview mirror, and an included angle between the tangent line L4 ' and the connecting line L3 ' is a visual angle α 2 ' passing through the right rearview mirror and the right column a;
a right eye position E4 point is connected on the first plane to form a projection tangent L5 'of the outer side of the right rearview mirror, the included angle between the tangent L5' and the tangent L4 'is a dead zone angle alpha 3' of the right rearview mirror, and the included angle between the tangent L5 'and a connecting line L2' is a total dead zone theta 2 of the vision of the right rearview mirror and the right column A;
and constructing corresponding rearview mirror blind area angle ranges for the standard blind area angle, the total visual field blind area theta 1 of the left column A and the total visual field blind area theta 2 of the right column A by using the checking model.
S215, calculating the inner and outer edge points and the rearview mirror angle of the rearview mirror by using the angle range of the blind area of the rearview mirror;
s216, obtaining rearview mirror parameters of the vehicle to be tested, and optimizing the rearview mirror parameters according to the inner and outer edge points of the rearview mirror and the rearview mirror angle.
In specific implementation, rearview mirror parameters of the vehicle to be tested are obtained, wherein the rearview mirror parameters comprise the current size of a rearview mirror and the current angle of the rearview mirror, and it should be understood that the size of the rearview mirror in the application is the size of a rearview mirror shell, and the angle of the rearview mirror is the integral angle of the rearview mirror shell; the size and the angle of the current rearview mirror are adjusted by utilizing the inner and outer edge points of the rearview mirror and the angle of the rearview mirror, so that the front visible area of a driver in the driving process is maximized on the premise of ensuring the function of the rearview mirror, and the driving safety is improved.
In summary, in the method for optimizing parameters of a rearview mirror in the above embodiment of the present invention, the optimal driving posture is calculated according to the internal parameters of the vehicle to be tested, the corresponding a-pillar blind area angle is calculated according to the a-pillar parameter and the positions of both eyes in the optimal driving posture, and the corresponding rearview mirror optimization parameter is obtained according to the a-pillar blind area angle, so that in the design process, the position and size of the rearview mirror are optimized according to the rearview mirror optimization parameter, the front angle view of the driver is analyzed according to the a-pillar blind area angle and the rearview mirror blind area angle, and the front visual area of the driver is effectively improved by optimizing and controlling the front angle view, so as to improve the driving safety.
EXAMPLE III
Another aspect of the present invention further provides a rearview mirror parameter optimizing system, please refer to fig. 6, which shows a rearview mirror parameter optimizing system in a third embodiment of the present invention, and is applied to a vehicle to be tested, where the rearview mirror parameter optimizing system includes:
the first obtaining module 11 is configured to obtain internal parameters of the vehicle to be tested, and input the internal parameters into a preset driving model, so that the driving model calculates an optimal driving posture of the vehicle to be tested according to the internal parameters;
further, the internal parameters include a seat position parameter, a steering wheel position parameter, and a pedal position parameter, and the first obtaining module 11 includes:
the first calculation unit is used for inputting the seat position parameter, the steering wheel position parameter and the pedal position parameter into the driving model so as to obtain corresponding normal driving posture data;
the second calculation unit is used for inputting the normal driving data, the seat position parameters, the steering wheel position parameters and the pedal position parameters into the RAMIS software to perform simulated driving and generate corresponding simulated driving results;
and the third calculation unit is used for determining the optimal driving posture according to the simulation driving result.
A second obtaining module 12, configured to obtain an a-pillar parameter of the vehicle to be tested and information about positions of two eyes of the driver in the optimal driving posture, where the a-pillar parameter at least includes an a-pillar size and an a-pillar position parameter;
the first processing module 13 is configured to calculate the a-pillar blind area angle according to the a-pillar size, the a-pillar position parameter, and the two-eye position information;
the second processing module 14 is configured to input the a-pillar blind area angle to a preset checking model to obtain a rearview mirror optimization parameter of the vehicle to be detected;
further, the second processing module 14 includes:
the processing unit is used for inputting the A column blind area angle into the checking model so as to obtain a corresponding rearview mirror blind area angle range;
and the fourth calculating unit is used for calculating the inner and outer edge points and the rearview mirror angle of the rearview mirror by utilizing the rearview mirror blind area angle range.
And the optimization module 15 is configured to obtain rearview mirror parameters of the vehicle to be tested, and optimize the rearview mirror parameters according to the rearview mirror optimization parameters.
In some optional embodiments, the system further comprises:
the simulation module is used for acquiring body data of a plurality of drivers and simulating the driving process of the plurality of drivers by using the RAMIS software;
the control module is used for inputting seat data, steering wheel data, instrument desk data and pedal data into each driving process, adding functional item test data of the vehicle to be tested into each driving process and obtaining a plurality of processed driving processes;
the calculation module is used for carrying out posture calculation on each processed driving process to obtain multiple kinds of normal driving posture data and other driving posture data;
and the third processing module is used for generating a corresponding driving model according to the normal driving posture data and the other driving posture data.
In some optional embodiments, the system further comprises:
the third acquisition module is used for acquiring rearview mirror parameters and A column parameters of various vehicle types on the market and sequentially recording the rotation center point of the head of a driver when the driver observes the left and right rearview mirrors of various vehicle types;
the fourth processing module is used for positioning the positions of the two eyes of the driver in the preset range of each rotation central point and correspondingly calculating the blind area angle of each rearview mirror and the blind area angle of each A column according to each position of the two eyes, each rearview mirror parameter and each A column parameter;
and the construction module is used for constructing a checking model through the blind area angle of each rearview mirror, the blind area angle of each A column and the standard blind area angle.
The functions or operation steps of the modules and units when executed are substantially the same as those of the method embodiments, and are not described herein again.
The implementation principle and the generated technical effect of the rearview mirror parameter optimization system provided by the embodiment of the invention are the same as those of the method embodiment, and for brief description, the corresponding content in the method embodiment can be referred to where the system embodiment is not mentioned.
Example four
Referring to fig. 7, a computer device according to a fourth embodiment of the present invention is shown, which includes a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20, wherein the processor 20 implements the above-mentioned rearview mirror parameter optimization method when executing the computer program 30.
The memory 10 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 10 may in some embodiments be an internal storage unit of the computer device, for example a hard disk of the computer device. The memory 10 may also be an external storage device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 10 may also include both an internal storage unit and an external storage device of the computer apparatus. The memory 10 may be used not only to store application software installed in the computer device and various kinds of data, but also to temporarily store data that has been output or will be output.
In some embodiments, the processor 20 may be an Electronic Control Unit (ECU), a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip, and is configured to run program codes stored in the memory 10 or process data, such as executing an access restriction program.
It should be noted that the configuration shown in fig. 7 does not constitute a limitation of the computer device, and in other embodiments the computer device may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
Embodiments of the present invention further provide a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the rearview mirror parameter optimization method as described above.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A rearview mirror parameter optimization method is applied to a vehicle to be tested and is characterized by comprising the following steps:
acquiring internal parameters of the vehicle to be tested, and inputting the internal parameters into a preset driving model so that the driving model can calculate the optimal driving posture of the vehicle to be tested according to the internal parameters;
acquiring the parameters of the A column of the vehicle to be tested and the position information of two eyes of a driver under the optimal driving posture, wherein the parameters of the A column at least comprise the size of the A column and the position parameters of the A column;
calculating the A column blind area angle according to the A column size, the A column position parameter and the two-eye position information;
inputting the A column blind area angle into a preset checking model to obtain rearview mirror optimization parameters of the vehicle to be detected;
and acquiring rearview mirror parameters of the vehicle to be detected, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.
2. The rearview mirror parameter optimization method of claim 1, wherein the step of obtaining the internal parameters of the vehicle under test is preceded by the method comprising:
acquiring body data of a plurality of drivers, and simulating the driving process of the plurality of drivers by using RAMIS software;
inputting seat data, steering wheel data, instrument desk data and pedal data into each driving process, and adding functional item test data of the vehicle to be tested in each driving process to obtain a plurality of processed driving processes;
carrying out attitude calculation on each processed driving process to obtain multiple kinds of normal driving attitude data and other driving attitude data;
and generating a corresponding driving model according to the normal driving posture data and the other driving posture data.
3. The rearview mirror parameter optimization method according to claim 2, wherein the internal parameters include a seat position parameter, a steering wheel position parameter and a pedal position parameter, and the step of calculating the optimal driving posture of the vehicle to be tested by the driving model according to the internal parameters comprises:
inputting the seat position parameter, the steering wheel position parameter and the pedal position parameter into the driving model to obtain corresponding normal driving posture data;
inputting the normal driving data, the seat position parameters, the steering wheel position parameters and the pedal position parameters into the RAMIS software to simulate driving, and generating corresponding simulated driving results;
and determining the optimal driving posture according to the simulated driving result.
4. The rearview mirror parameter optimization method of claim 1, wherein prior to the step of inputting the a-pillar blind spot angle to a preset calibration model, the method further comprises:
acquiring rearview mirror parameters and A-column parameters of various vehicle types on the market, and sequentially recording the rotation center point of the head of a driver when the driver observes the left and right rearview mirrors of various vehicle types;
positioning the positions of two eyes of the driver in a preset range of each rotation central point, and correspondingly calculating the blind area angle of each rearview mirror and the blind area angle of each A column according to each position of two eyes, each parameter of the rearview mirror and each parameter of the A column;
and constructing a checking model according to the blind area angle of each rearview mirror, the blind area angle of each A column and the standard blind area angle.
5. The rearview mirror parameter optimization method according to claim 4, wherein the step of inputting the A-pillar blind zone angle into a preset check model to obtain rearview mirror optimization parameters of the vehicle to be tested comprises:
inputting the A column blind area angle into the checking model to obtain a corresponding rearview mirror blind area angle range;
and calculating the inner and outer edge points and the angle of the rearview mirror by utilizing the angle range of the blind area of the rearview mirror.
6. The utility model provides a rear-view mirror parameter optimization system, is applied to the vehicle that awaits measuring, its characterized in that rear-view mirror parameter optimization system includes:
the first acquisition module is used for acquiring internal parameters of the vehicle to be detected and inputting the internal parameters into a preset driving model so that the driving model can calculate the optimal driving posture of the vehicle to be detected according to the internal parameters;
the second acquisition module is used for acquiring the column A parameters of the vehicle to be detected and the position information of two eyes of the driver in the optimal driving posture, wherein the column A parameters at least comprise the column A size and the column A position parameters;
the first processing module is used for calculating the A column blind area angle according to the A column size, the A column position parameter and the two-eye position information;
the second processing module is used for inputting the A column blind area angle into a preset checking model to obtain rearview mirror optimization parameters of the vehicle to be detected;
and the optimization module is used for acquiring rearview mirror parameters of the vehicle to be tested and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.
7. The rearview mirror parameter optimization system of claim 6, further comprising:
the simulation module is used for acquiring body data of a plurality of drivers and simulating the driving process of the plurality of drivers by using the RAMIS software;
the control module is used for inputting seat data, steering wheel data, instrument desk data and pedal data into each driving process, adding functional item test data of the vehicle to be tested into each driving process and obtaining a plurality of processed driving processes;
the calculation module is used for carrying out posture calculation on each processed driving process to obtain multiple kinds of normal driving posture data and other driving posture data;
and the third processing module is used for generating a corresponding driving model according to the normal driving posture data and the other driving posture data.
8. The rearview mirror parameter optimization system of claim 7, wherein the internal parameters include a seat position parameter, a steering wheel position parameter, a pedal position parameter, the first obtaining module comprising:
the first calculation unit is used for inputting the seat position parameter, the steering wheel position parameter and the pedal position parameter into the driving model so as to obtain corresponding normal driving posture data;
the second calculation unit is used for inputting the normal driving data, the seat position parameters, the steering wheel position parameters and the pedal position parameters into the RAMIS software to perform simulated driving and generate corresponding simulated driving results;
and the third calculation unit is used for determining the optimal driving posture according to the simulation driving result.
9. A readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out a method for optimizing parameters of a wing mirror according to any one of claims 1 to 5.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method for rearview mirror parameter optimization according to any one of claims 1 to 5 when executing the computer program.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115452416A (en) * | 2022-09-29 | 2022-12-09 | 东风汽车股份有限公司 | Rearview mirror visual field checking and arranging method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115452416A (en) * | 2022-09-29 | 2022-12-09 | 东风汽车股份有限公司 | Rearview mirror visual field checking and arranging method |
| CN115452416B (en) * | 2022-09-29 | 2024-09-17 | 东风汽车股份有限公司 | Rearview mirror visual field checking arrangement method |
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