Rearview mirror parameter optimization method, system, readable storage medium and computer device

Abstract

The present invention provides a rearview mirror parameter optimization method, system, readable storage medium and computer equipment, which is applied to a vehicle to be tested, including: obtaining internal parameters of the vehicle to be tested, and inputting the internal parameters into a preset driving model, so that the driving model calculates the optimal driving posture of the vehicle to be tested according to the internal parameters; obtaining the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, the A-pillar parameters at least including the A-pillar size and the A-pillar position parameters; calculating the A-pillar blind spot angle according to the A-pillar size, the A-pillar position parameters and the eye position information; inputting the A-pillar blind spot angle into a preset verification model to obtain the rearview mirror optimization parameters of the vehicle to be tested; obtaining the rearview mirror parameters of the vehicle to be tested, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters. The present invention effectively improves the driver's front visible area through the optimization and control of the front angle field of view, thereby improving driving safety.

Description

Technical Field

[0001] The present invention relates to the field of automobile safety technology, and in particular to a rearview mirror parameter optimization method, system, readable storage medium and computer equipment. Background Art

[0002] The driver's vision of the outside environment during driving is particularly important for driving safety. During the design process, the designs related to the driver's outside vision mainly include: the driver's front blind spot, the 180° front view, the driver's upper and lower views, the A-pillar obstacle angle, and the field of view seen through the inside and outside rearview mirrors. In all the field of view analyses, less attention is paid to the front corner blind spot, which is the occlusion caused by the A-pillar and the outside rearview mirror housing. The front corner blind spot has a great impact on straight-line driving and turning driving, especially when turning left or right. The larger the front corner blind spot, the less able to fully identify pedestrians or electric vehicles outside the car, and the driver needs to adjust his sitting posture to drive safely. The small front corner blind spot allows the driver to easily obtain the environment outside the car, which is more conducive to driving safety.

[0003] The front angle field of view is the range of the driver's view outside the vehicle through the A-pillar and the rearview mirror housing. Currently, only the A-pillar obstacle angle is considered in the design of the front angle field of view. During the design process, the value of the A-pillar obstacle angle is stipulated to be no greater than 6°, and the size of the A-pillar obstacle angle is determined by comprehensive consideration of competing models; the shape of the exterior rearview mirror housing, the structure of the exterior rearview mirror base, and the triangular area of ​​the side window glass are closely related to the front angle field of view, resulting in a lack of control over this field of view in the current design and development of automobiles, which is likely to cause safety issues that cannot be ignored. Summary of the invention

[0004] Based on this, the purpose of the present invention is to provide a rearview mirror parameter optimization method, system, readable storage medium and computer device to at least solve the deficiencies in the above-mentioned related technologies.

[0005] The present invention proposes a rearview mirror parameter optimization method, which is applied to a vehicle to be tested. The rearview mirror parameter optimization method comprises:

[0006] Acquiring internal parameters of the vehicle to be tested, and inputting 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;

[0007] Acquire the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, wherein the A-pillar parameters at least include the A-pillar size and the A-pillar position parameters;

[0008] Calculating the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes;

[0009] Inputting the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested;

[0010] Obtaining rearview mirror parameters of the vehicle to be tested, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.

[0011] Furthermore, before the step of obtaining the internal parameters of the vehicle to be tested, the method includes:

[0012] Obtain the physical data of multiple drivers and use RAMSIS software to simulate the driving process of multiple drivers;

[0013] Inputting seat data, steering wheel data, instrument panel data and pedal data into each of the driving processes, and adding functional item test data of the vehicle to be tested into each of the driving processes to obtain a plurality of processed driving processes;

[0014] Performing posture calculation on each of the processed driving processes to obtain a variety of normal driving posture data and other driving posture data;

[0015] A corresponding driving model is generated according to the normal driving posture data and the other driving posture data.

[0016] Furthermore, the internal parameters include seat position parameters, steering wheel position parameters, and pedal position parameters, and the step of the driving model calculating the optimal driving posture of the vehicle to be tested according to the internal parameters includes:

[0017] 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;

[0018] Inputting the normal driving data, the seat position parameter, the steering wheel position parameter, and the pedal position parameter into the RAMSIS software to perform simulated driving, and generating corresponding simulated driving results;

[0019] An optimal driving posture is determined according to the simulated driving result.

[0020] Furthermore, before the step of inputting the A-pillar blind spot angle into a preset verification model, the method further includes:

[0021] Obtaining the rearview mirror parameters and A-pillar parameters of various models on the market, and recording the rotation center point of the driver's head when the driver observes the left and right rearview mirrors of various models in sequence;

[0022] Positioning the eyes of the driver within a preset range of each rotation center point, and calculating the blind spot angle of each rearview mirror and the blind spot angle of each A-pillar according to the eye positions, the parameters of each rearview mirror and the parameters of each A-pillar;

[0023] A calibration model is constructed by using the blind spot angles of each rearview mirror, the blind spot angles of each A-pillar, and the standard blind spot angle.

[0024] Furthermore, the step of inputting the A-pillar blind spot angle into a preset calibration model to obtain the optimized parameters of the rearview mirror of the vehicle to be tested includes:

[0025] Inputting the A-pillar blind spot angle into the calibration model to obtain the corresponding rearview mirror blind spot angle range;

[0026] The inner and outer edge points of the rearview mirror and the rearview mirror angle are calculated using the rearview mirror blind spot angle range.

[0027] The present invention also proposes a rearview mirror parameter optimization system, which is applied to a vehicle to be tested. The rearview mirror parameter optimization system comprises:

[0028] A first acquisition module, used for acquiring internal parameters of the vehicle to be tested, and inputting the internal parameters into a preset driving model, so that the driving model calculates the optimal driving posture of the vehicle to be tested according to the internal parameters;

[0029] A second acquisition module is used to acquire the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, wherein the A-pillar parameters at least include the A-pillar size and the A-pillar position parameters;

[0030] A first processing module, configured to calculate the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes;

[0031] A second processing module is used to input the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested;

[0032] The optimization module is used to obtain the rearview mirror parameters of the vehicle to be tested and optimize the rearview mirror parameters according to the rearview mirror optimization parameters.

[0033] Furthermore, the system also includes:

[0034] A simulation module, which is used to obtain the physical data of multiple drivers and simulate the driving process of multiple drivers using RAMSIS software;

[0035] A control module, for inputting seat data, steering wheel data, instrument panel data and pedal data into each of the driving processes, and adding functional item test data of the vehicle to be tested into each of the driving processes, to obtain a plurality of processed driving processes;

[0036] A calculation module, used for performing posture calculation on each of the processed driving processes to obtain a plurality of normal driving posture data and other driving posture data;

[0037] The third processing module is used to generate a corresponding driving model according to the normal driving posture data and the other driving posture data.

[0038] Furthermore, the internal parameters include seat position parameters, steering wheel position parameters, and pedal position parameters, and the first acquisition module includes:

[0039] a first calculation unit, configured to input 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;

[0040] A second calculation unit is used to input the normal driving data, the seat position parameter, the steering wheel position parameter, and the pedal position parameter into the RAMSIS software to perform simulated driving and generate a corresponding simulated driving result;

[0041] The third calculation unit is used to determine the best driving posture according to the simulated driving result.

[0042] Furthermore, the system also includes:

[0043] The third acquisition module is used to acquire the rearview mirror parameters and A-pillar parameters of various models on the market, and sequentially record the rotation center point of the driver's head when the driver observes the left and right rearview mirrors of various models;

[0044] a fourth processing module, configured to locate the eye positions of the driver within a preset range of each rotation center point, and to calculate the blind spot angle of each rearview mirror and the blind spot angle of each A-pillar according to each eye position, each rearview mirror parameter and each A-pillar parameter;

[0045] A construction module is used to construct a verification model through the blind spot angles of each rearview mirror, the blind spot angles of each A-pillar and the standard blind spot angle.

[0046] Furthermore, the second processing module includes:

[0047] A processing unit, used for inputting the A-pillar blind spot angle into the calibration model to obtain a corresponding rearview mirror blind spot angle range;

[0048] The fourth calculation unit is used to calculate the inner and outer edge points of the rearview mirror and the angle of the rearview mirror by using the angle range of the rearview mirror blind spot.

[0049] The present invention also provides a readable storage medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned rearview mirror parameter optimization method is implemented.

[0050] The present invention also proposes a computer device, comprising 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.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: the best driving posture is calculated through the internal parameters of the vehicle to be tested, and the corresponding A-pillar blind spot angle is calculated according to the A-pillar parameters and the positions of both eyes under the best driving posture, and the corresponding rearview mirror optimization parameters are obtained according to the A-pillar blind spot angle, so that in the design process, the rearview mirror position and size are optimized through the rearview mirror optimization parameters, and the driver's front angle field of view is analyzed through the A-pillar blind spot angle and the rearview mirror blind spot angle, and the driver's front visual area is effectively improved through the optimization and control of the front angle field of view, thereby improving driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 Flow chart of the rearview mirror parameter optimization method in the first embodiment of the present invention;

[0053] Figure 2 This is a schematic diagram of the analysis of the center point of head rotation and the positions of both eyes when the driver observes the left A-pillar in an embodiment of the present invention;

[0054] Figure 3 Schematic diagram of the left front angle field analysis of the driver in an embodiment of the present invention;

[0055] Figure 4 Schematic diagram of the driver's right front angle field of view analysis in an embodiment of the present invention

[0056] Figure 5 is a flow chart of a rearview mirror parameter optimization method according to a second embodiment of the present invention;

[0057] Figure 6 It is a structural frame of the rearview mirror parameter optimization system in the third embodiment of the present invention;

[0058] Figure 7 This is the structural frame of the computer device in the fourth embodiment of the present invention.

[0059] Description of main component symbols:

[0060]

[0061]

[0062] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0063] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0064] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0066] Embodiment 1

[0067] See also Figure 1 , which shows a rearview mirror parameter optimization method in a first embodiment of the present invention, and the method specifically includes steps S101 to S104:

[0068] 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 calculates the optimal driving posture of the vehicle to be tested according to the internal parameters;

[0069] In the specific implementation, it should be noted that, in the present application, the above internal parameters include but are not limited to the seat position parameters, steering wheel position parameters, and pedal position parameters of the vehicle to be tested;

[0070] Furthermore, the above-mentioned seat position parameters, steering wheel position parameters, and pedal position parameters are input into a preset driving model. It can be understood that the driving model can be a mathematical model generated corresponding to the results of comfort tests on various types of vehicles through three-dimensional human body modeling in the early design stage, and can also be an initially preset mathematical model. The optimal driving postures for various types of vehicles are saved in the driving model.

[0071] S102, obtaining A-pillar parameters of the vehicle to be tested and information on the position of the eyes of the driver in the optimal driving posture, wherein the A-pillar parameters at least include A-pillar size and A-pillar position parameters;

[0072] In a specific implementation, the A-pillar size and A-pillar position parameters of the vehicle to be tested and the eye position information of the driver in the vehicle to be tested in the best driving posture are obtained. In this step, the eye position information of the driver when looking straight ahead, the eye position information when observing the left A-pillar and the eye position information when observing the right A-pillar are calculated according to the best driving posture; for example: please refer to Figure 2 ,exist Figure 2 The point P1 is the center point of the driver's head rotation when observing the left A-pillar; a straight line is drawn connecting the point P1 and the center point of the left A-pillar, and a first plane is designed on the straight line parallel to the Y-axis of the vehicle, and E1 and E2 are respectively the positions of the left and right eyes of the driver on the first plane; the A-pillar position parameters include the relative position parameters of the A-pillar in the vehicle to be tested.

[0073] S103, calculating the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes;

[0074] In a specific implementation, the blind spot angle of the A-pillar is calculated by the above-mentioned A-pillar size, the A-pillar position parameters, and the positions of points E1 and E2;

[0075] For details, please refer to Figure 3 to Figure 4 , the distribution of the left A-pillar is calculated according to the position parameters and the size of the left A-pillar, the distribution includes the innermost point M1 and the outermost point M2 of the left A-pillar, the line L3 between the left eye position E1 and the outermost point M2 is the blind spot edge line of the left eye observing the A-pillar, the line L2 between the point E2 and the innermost point M1 is the blind spot edge line of the right eye observing the A-pillar, and the angle between the blind spot edge line L2 and the blind spot edge line L3 is the blind spot angle α1 of the left A-pillar;

[0076] Similarly, in Figure 4 In the figure, point P2 is the center point of the driver's head rotation when observing the right A-pillar; a straight line is drawn connecting point P1 and the center point of the right A-pillar, and a second plane is designed on the straight line parallel to the Y-axis of the vehicle. E3 and E4 are the positions of the left and right eyes of the driver on the second plane respectively;

[0077] The distribution of the right A-pillar is calculated according to the position parameters and size of the right A-pillar, which includes the innermost point M3 and the outermost point M4 of the right A-pillar. The line L3' connecting the right eye position E4 and the innermost point M3 is the blind spot edge line of the A-pillar observed by the right eye. The line L2' connecting the E3 point and the outermost point M4 is the blind spot edge line of the A-pillar observed by the right eye. The angle between the blind spot edge line L2' and the blind spot edge line L3' is the blind spot angle α1' of the right A-pillar.

[0078] S104, inputting the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested;

[0079] In the specific implementation, it should be noted that the verification model can be a mathematical model generated corresponding to the results of front angle field of view measurement of various types of vehicles through modeling methods in the early stage of design, and it can also be an initially preset mathematical model. The verification model stores the optimal front angle field of view range of various types of vehicles.

[0080] Furthermore, the left A-pillar blind spot angle α1 and the right A-pillar blind spot angle α1' are input into the calibration model, and the rearview mirror optimization parameters of the vehicle to be tested are calculated by the calibration model, wherein the rearview mirror optimization parameters include but are not limited to the rearview mirror optimization size and rearview mirror optimization angle.

[0081] S105, obtaining rearview mirror parameters of the vehicle to be tested, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.

[0082] In a specific implementation, the rearview mirror parameters of the vehicle to be tested are obtained, wherein the rearview mirror parameters include the current rearview mirror size and the current rearview mirror angle. It should be understood that the rearview mirror size in the present application refers to the size of the rearview mirror shell, and the rearview mirror angle refers to the overall angle of the rearview mirror shell. The current rearview mirror size and the current rearview mirror angle are adjusted using the above-mentioned rearview mirror optimization size and rearview mirror optimization angle to ensure that the driver's front visible area is maximized during driving while ensuring the function of the rearview mirror, thereby improving driving safety.

[0083] In summary, the rearview mirror parameter optimization method in the above-mentioned embodiment of the present invention calculates the optimal driving posture through the internal parameters of the vehicle to be tested, and calculates the corresponding A-pillar blind spot angle according to the A-pillar parameters and the position of both eyes under the optimal driving posture, and obtains the corresponding rearview mirror optimization parameters according to the A-pillar blind spot angle, so that in the design process, the rearview mirror position and size are optimized through the rearview mirror optimization parameters, and the driver's front angle field of view is analyzed through the A-pillar blind spot angle and the rearview mirror blind spot angle. Through the optimization and control of the front angle field of view, the driver's front visible area is effectively improved, thereby improving driving safety.

[0084] Embodiment 2

[0085] See also Figure 5 , which shows a rearview mirror parameter optimization method in a second embodiment of the present invention, and the method specifically includes steps S201 to S216:

[0086] S201, obtaining physical data of multiple drivers, and simulating driving processes of the multiple drivers using RAMSIS software;

[0087] First of all, it should be noted that in order to obtain the driving posture of the driver in various types of vehicles, the following factors are usually considered:

[0088] (1) Driver’s driving comfort and fatigue level. Incorrect driving posture can easily cause fatigue and reduce work efficiency.

[0089] (2) Control comfort: The human body's control range refers to the area that the human body can control (reach) in a normal driving posture. It is a necessary condition for determining the steering wheel, joystick, various control buttons, switch, etc.

[0090] (3) The layout of the three pedals should put the human body in a comfortable driving posture. When stepping on the pedals, the human body should also maintain a comfortable driving posture and ensure that the human legs are in the best force-applying posture.

[0091] (4) Field of vision: The driver’s field of vision includes the front view, the A-pillar blind spot view, the instrument panel view, etc.

[0092] In the specific implementation, the physical data of multiple drivers are obtained, wherein the physical data include but are not limited to height, leg length, and eye point height. A human body model is established based on the above physical data. The human body size distribution approximately conforms to the 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):

[0093]

[0094]

[0095] In the above formula, x represents human body size (mm), m represents mean value, and s represents standard deviation.

[0096] F(5) refers to the 5th percentile human body. According to the Chinese adult body size, the 5th percentile female human body height is 1484mm. F(95) refers to the 95th percentile human body. According to the Chinese adult body size, the 95th percentile male human body height is 1775mm. The car design needs to meet the operating comfort of the 5th percentile female body and the 95th percentile male body, that is, it needs to meet the operating requirements of 1484mm-1775mm height, and use RAMSIS software to simulate the driving process of multiple drivers normally.

[0097] S202, inputting seat data, steering wheel data, instrument panel data and pedal data into each of the driving processes, and adding functional item test data of the vehicle to be tested into each of the driving processes to obtain a plurality of processed driving processes;

[0098] S203, performing posture calculation on each of the processed driving processes to obtain a plurality of normal driving posture data and other driving posture data;

[0099] S204, generating a corresponding driving model according to the normal driving posture data and the other driving posture data;

[0100] In the specific implementation, the RAMSIS software is used to simulate the driving process of multiple drivers. The boundary data required mainly include seat slide travel, steering wheel, instrument panel, three pedals, etc. The boundary data of carpet, center console, gear lever, windshield and roof lining can also be input into the corresponding simulation process;

[0101] The human body's H point is constrained within the seat adjustment range, the right foot is constrained on the carpet, the right heel is constrained to 1 / 3 of the accelerator pedal travel, the left heel is constrained on the carpet, the left foot is constrained on the footrest, the palms of both hands hold the steering wheel, the palms are in the Graspsoftly posture, facing forward, and posture calculation is performed to obtain three normal driving postures of the human body;

[0102] In the process of constraining the human body to perform tasks, it is necessary to comprehensively consider the seat, pedals, steering wheel, forward field of view, instrument panel and surrounding controls, and head space, and finally determine the human body R point, and fix the human body R point, save posture 1 as the driving posture, and then simulate other tasks again. Touch the button on the left side of the instrument panel to save driving posture 2; select the appropriate finger position and the appropriate palm model, adjust the air-conditioning vent paddles, and save driving posture 3; operate the shift lever to save driving posture 4; constrain the human body's field of view to the center of the instrument cluster, rotate the head and eyes at the same time, calculate, and output the normal posture of looking at the instrument cluster 5.

[0103] The above-mentioned processed driving processes are subjected to posture calculation to obtain a variety of normal driving posture data and other driving posture data, and the normal driving posture data and other driving posture data are used to generate a corresponding driving model.

[0104] S205, obtaining internal parameters of the vehicle to be tested, and inputting the internal parameters into a driving model, the internal parameters including seat position parameters, steering wheel position parameters, and pedal position parameters;

[0105] In the specific implementation, it should be noted that, in the present application, the above internal parameters include but are not limited to the seat position parameters, steering wheel position parameters, and pedal position parameters of the vehicle to be tested;

[0106] Furthermore, the above-mentioned seat position parameters, steering wheel position parameters, and pedal position parameters are input into the above-mentioned driving model, so that the driving model forms corresponding data according to the relevant parameters.

[0107] 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;

[0108] S207, inputting the normal driving data, the seat position parameter, the steering wheel position parameter, and the pedal position parameter into the RAMSIS software to perform simulated driving, and generating corresponding simulated driving results;

[0109] S208, determining an optimal driving posture according to the simulated driving result;

[0110] In the specific implementation, RAMSIS software is used to score the data of each normal driving posture, with a total score of 8 points. The larger the score, the more uncomfortable it is. A score of 0-2.5 indicates good comfort; 2.5-5.5 indicates a general comfort level, which is suitable for most people's postures; a score greater than 5.5 indicates a very low comfort level, which is very uncomfortable and needs to be optimized and improved. The following Table 1 is an example of a comfort analysis table for a certain vehicle model:

[0111] Table 1 Comfort of a certain vehicle model

[0112]

[0113] According to the analysis in Table 1, the corresponding optimal driving posture is calculated.

[0114] S09, obtaining the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, wherein the A-pillar parameters at least include the A-pillar size and the A-pillar position parameters;

[0115] In a specific implementation, the A-pillar size and A-pillar position parameters of the vehicle to be tested and the eye position information of the driver in the vehicle to be tested in the best driving posture are obtained. In this step, the eye position information of the driver when looking straight ahead, the eye position information when observing the left A-pillar and the eye position information when observing the right A-pillar are calculated according to the best driving posture; for example: please refer to Figure 2 ,exist Figure 2 The point P1 is the center point of the driver's head rotation when observing the left A-pillar; a straight line is drawn connecting the point P1 and the center point of the left A-pillar, and a first plane is designed on the straight line parallel to the Y-axis of the vehicle, and E1 and E2 are respectively the positions of the left and right eyes of the driver on the first plane; the A-pillar position parameters include the relative position parameters of the A-pillar in the vehicle to be tested.

[0116] S210, calculating the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes;

[0117] In a specific implementation, the blind spot angle of the A-pillar is calculated by the above-mentioned A-pillar size, the A-pillar position parameters, and the positions of points E1 and E2;

[0118] For details, please refer to Figure 3 to Figure 4 , the distribution of the left A-pillar is calculated according to the position parameters and the size of the left A-pillar, the distribution includes the innermost point M1 and the outermost point M2 of the left A-pillar, the line L3 between the left eye position E1 and the outermost point M2 is the blind spot edge line of the left eye observing the A-pillar, the line L2 between the point E2 and the innermost point M1 is the blind spot edge line of the right eye observing the A-pillar, and the angle between the blind spot edge line L2 and the blind spot edge line L3 is the blind spot angle α1 of the left A-pillar;

[0119] Similarly, in Figure 4 In the figure, point P2 is the center point of the driver's head rotation when observing the right A-pillar; a straight line is drawn connecting point P1 and the center point of the right A-pillar, and a second plane is designed on the straight line parallel to the Y-axis of the vehicle. E3 and E4 are the positions of the left and right eyes of the driver on the second plane respectively;

[0120] The distribution of the right A-pillar is calculated according to the position parameters and size of the right A-pillar, which includes the innermost point M3 and the outermost point M4 of the right A-pillar. The line L3' connecting the right eye position E4 and the innermost point M3 is the blind spot edge line of the A-pillar observed by the right eye. The line L2' connecting the E3 point and the outermost point M4 is the blind spot edge line of the A-pillar observed by the right eye. The angle between the blind spot edge line L2' and the blind spot edge line L3' is the blind spot angle α1' of the right A-pillar.

[0121] S211, obtaining rearview mirror parameters and A-pillar parameters of various models on the market, and sequentially recording the rotation center point of the driver's head when the driver observes the left and right rearview mirrors of various models;

[0122] S212, locating the eye positions of the driver within a preset range of each rotation center point, and calculating the blind spot angle of each rearview mirror and the blind spot angle of each A-pillar according to each eye position, each rearview mirror parameter and each A-pillar parameter;

[0123] S213, constructing a verification model according to the blind spot angles of the rearview mirrors, the blind spot angles of the A-pillars, and the standard blind spot angle;

[0124] In the specific implementation, the rearview mirror parameters and A-pillar parameters of various models on the market are obtained, and the rotation center points of the driver's head when the driver observes the left and right rearview mirrors of various models are recorded in sequence, the driver's eye positions are located within the 180° visual range of each rotation center point, and the blind area angles of each rearview mirror and each A-pillar are calculated according to each eye position, each rearview mirror parameter and each A-pillar parameter;

[0125] A verification model is constructed through the blind spot angles of each rearview mirror, the blind spot angles of each A-pillar and the standard blind spot angle; in the present application, the standard blind spot angle is the blind spot angle when the driver has the best front angle field of vision when driving the vehicle. This data can be preset, or it can be constructed by measuring the front angle field of vision and the driving posture of various types of vehicles and the corresponding standard blind spot angle data in the initial design stage.

[0126] S214, inputting the A-pillar blind spot angle into the calibration model to obtain a corresponding rearview mirror blind spot angle range;

[0127] In a specific implementation, the blind spot angle α1 of the left A-pillar and the blind spot angle α1 ′ of the right A-pillar are input into the verification model to obtain the corresponding rearview mirror blind spot angle range.

[0128] Specifically, the corresponding rearview mirror blind spot angle range is calculated using the standard blind spot angle, the left A-pillar blind spot angle α1, and the right A-pillar blind spot angle α1'. Please refer to Figure 3 , connect the left eye position point E1 on the first plane to make a projection tangent line L4 on the inner side of the left rearview mirror, and the angle between the tangent line L4 and the connecting line L3 is the visual angle α2 between the left rearview mirror and the left A-pillar;

[0129] Connect the left eye position point E1 on the first plane to make a projection tangent line L5 on the outer side of the left rearview mirror. The angle between the tangent line L5 and the tangent line L4 is the blind spot angle α3 of the left rearview mirror. The angle between the tangent line L5 and the connecting line L2 is the total blind spot θ1 of the left rearview mirror and the left A-pillar.

[0130] Likewise, see Figure 4 , connect the right eye position point E4 on the first plane to make the projection tangent line L4' of the inner side of the right rearview mirror, and the angle between the tangent line L4' and the connecting line L3' is the visual angle α2' through the right rearview mirror and the right A-pillar;

[0131] Connect the right eye position point E4 on the first plane to make a projection tangent line L5' on the outer side of the right rearview mirror. The angle between the tangent line L5' and the tangent line L4' is the blind spot angle α3' of the right rearview mirror. The angle between the tangent line L5' and the connecting line L2' is the total blind spot θ2 of the right rearview mirror and the right A-pillar.

[0132] The calibration model is used to construct the corresponding rearview mirror blind spot angle range for the standard blind spot angle, the total blind spot θ1 of the left A-pillar, and the total blind spot θ2 of the right A-pillar.

[0133] S215, calculating inner and outer edge points of the rearview mirror and the angle of the rearview mirror using the rearview mirror blind spot angle range;

[0134] S216, obtaining the 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.

[0135] In a specific implementation, the rearview mirror parameters of the vehicle to be tested are obtained, wherein the rearview mirror parameters include the current rearview mirror size and the current rearview mirror angle. It should be understood that the rearview mirror size in the present application refers to the size of the rearview mirror shell, and the rearview mirror angle refers to the overall angle of the rearview mirror shell. The current rearview mirror size and the current rearview mirror angle are adjusted using the inner and outer edge points of the above-mentioned rearview mirror and the rearview mirror angle. On the premise of ensuring the function of the rearview mirror, the driver's front visible area is maximized during driving, thereby improving driving safety.

[0136] In summary, the rearview mirror parameter optimization method in the above-mentioned embodiment of the present invention calculates the optimal driving posture through the internal parameters of the vehicle to be tested, and calculates the corresponding A-pillar blind spot angle according to the A-pillar parameters and the position of both eyes under the optimal driving posture, and obtains the corresponding rearview mirror optimization parameters according to the A-pillar blind spot angle, so that in the design process, the rearview mirror position and size are optimized through the rearview mirror optimization parameters, and the driver's front angle field of view is analyzed through the A-pillar blind spot angle and the rearview mirror blind spot angle. Through the optimization and control of the front angle field of view, the driver's front visible area is effectively improved, thereby improving driving safety.

[0137] Embodiment 3

[0138] Another aspect of the present invention is to provide a rearview mirror parameter optimization system, please refer to Figure 6, which is a rearview mirror parameter optimization system in a third embodiment of the present invention, applied to a vehicle to be tested, and the rearview mirror parameter optimization system comprises:

[0139] A first acquisition module 11 is used to acquire internal parameters of the vehicle to be tested, and input the internal parameters into a preset driving model, so that the driving model calculates the optimal driving posture of the vehicle to be tested according to the internal parameters;

[0140] Furthermore, the internal parameters include seat position parameters, steering wheel position parameters, and pedal position parameters, and the first acquisition module 11 includes:

[0141] a first calculation unit, configured to input 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;

[0142] A second calculation unit is used to input the normal driving data, the seat position parameter, the steering wheel position parameter, and the pedal position parameter into the RAMSIS software to perform simulated driving and generate a corresponding simulated driving result;

[0143] The third calculation unit is used to determine the best driving posture according to the simulated driving result.

[0144] A second acquisition module 12 is used to acquire the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, wherein the A-pillar parameters at least include the A-pillar size and the A-pillar position parameters;

[0145] A first processing module 13 is used to calculate the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes;

[0146] The second processing module 14 is used to input the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested;

[0147] Furthermore, the second processing module 14 includes:

[0148] A processing unit, used for inputting the A-pillar blind spot angle into the calibration model to obtain a corresponding rearview mirror blind spot angle range;

[0149] The fourth calculation unit is used to calculate the inner and outer edge points of the rearview mirror and the angle of the rearview mirror by using the angle range of the rearview mirror blind spot.

[0150] The optimization module 15 is used to obtain the rearview mirror parameters of the vehicle to be tested, and optimize the rearview mirror parameters according to the rearview mirror optimization parameters.

[0151] In some optional embodiments, the system further comprises:

[0152] A simulation module, which is used to obtain the physical data of multiple drivers and simulate the driving process of multiple drivers using RAMSIS software;

[0153] A control module, for inputting seat data, steering wheel data, instrument panel data and pedal data into each of the driving processes, and adding functional item test data of the vehicle to be tested into each of the driving processes, to obtain a plurality of processed driving processes;

[0154] A calculation module, used for performing posture calculation on each of the processed driving processes to obtain a plurality of normal driving posture data and other driving posture data;

[0155] The third processing module is used to generate a corresponding driving model according to the normal driving posture data and the other driving posture data.

[0156] In some optional embodiments, the system further comprises:

[0157] The third acquisition module is used to acquire the rearview mirror parameters and A-pillar parameters of various models on the market, and sequentially record the rotation center point of the driver's head when the driver observes the left and right rearview mirrors of various models;

[0158] a fourth processing module, configured to locate the eye positions of the driver within a preset range of each rotation center point, and to calculate the blind spot angle of each rearview mirror and the blind spot angle of each A-pillar according to each eye position, each rearview mirror parameter and each A-pillar parameter;

[0159] A construction module is used to construct a verification model through the blind spot angles of each rearview mirror, the blind spot angles of each A-pillar and the standard blind spot angle.

[0160] The functions or operation steps implemented when the above modules and units are executed are generally the same as those in the above method embodiments, and will not be repeated here.

[0161] The rearview mirror parameter optimization system provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0162] Embodiment 4

[0163] The present invention also provides a computer device, see Figure 7, shown is a computer device in the fourth embodiment of the present invention, including a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20, and the processor 20 implements the above-mentioned rearview mirror parameter optimization method when executing the computer program 30.

[0164] The memory 10 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 10 may be an internal storage unit of a computer device, such as a hard disk of the computer device. In other embodiments, the memory 10 may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. Further, the memory 10 may also include both an internal storage unit of a computer device and an external storage device. The memory 10 may be used not only to store application software and various types of data installed in the computer device, but also to temporarily store data that has been output or is to be output.

[0165] Among them, in some embodiments, the processor 20 can be an electronic control unit (Electronic Control Unit, abbreviated as ECU, also known as a vehicle computer), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run the program code stored in the memory 10 or process data, such as executing access restriction programs, etc.

[0166] It should be pointed out that Figure 7 The structure shown does not constitute a limitation on the computer device. In other embodiments, the computer device may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0167] The embodiment of the present invention further provides a readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the rearview mirror parameter optimization method as described above is implemented.

[0168] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0169] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0170] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0171] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0172] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A rearview mirror parameter optimization method, applied to a vehicle to be tested, characterized in that: The rearview mirror parameter optimization method comprises: Acquiring internal parameters of the vehicle to be tested, and inputting 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; Acquire the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, wherein the A-pillar parameters at least include the A-pillar size and the A-pillar position parameters; Calculating the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes; Inputting the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested; Obtaining rearview mirror parameters of the vehicle to be tested, and optimizing the rearview mirror parameters according to the rearview mirror optimization parameters.

2. The rearview mirror parameter optimization method according to claim 1, characterized in that: Before the step of obtaining the internal parameters of the vehicle to be tested, the method includes: Obtain the physical data of multiple drivers and use RAMSIS software to simulate the driving process of multiple drivers; Inputting seat data, steering wheel data, instrument panel data and pedal data into each of the driving processes, and adding functional item test data of the vehicle to be tested into each of the driving processes to obtain a plurality of processed driving processes; Performing posture calculation on each of the processed driving processes to obtain a variety of normal driving posture data and other driving posture data; A corresponding driving model is generated according to the normal driving posture data and the other driving posture data.

3. The rearview mirror parameter optimization method according to claim 2, characterized in that: The internal parameters include seat position parameters, steering wheel position parameters, and pedal position parameters. The step of calculating the optimal driving posture of the vehicle to be tested according to the internal parameters by the driving model 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 posture data, the seat position parameter, the steering wheel position parameter, and the pedal position parameter into the RAMSIS software to perform simulated driving, and generating corresponding simulated driving results; An optimal driving posture is determined according to the simulated driving result.

4. The rearview mirror parameter optimization method according to claim 1, characterized in that: Before the step of inputting the A-pillar blind spot angle into a preset verification model, the method further includes: Obtaining the rearview mirror parameters and A-pillar parameters of various models on the market, and recording the rotation center point of the driver's head when the driver observes the left and right rearview mirrors of various models in sequence; Positioning the eyes of the driver within a preset range of each rotation center point, and calculating the blind spot angle of each rearview mirror and the blind spot angle of each A-pillar according to the eye positions, the parameters of each rearview mirror and the parameters of each A-pillar; A verification model is constructed by using the blind spot angles of each rearview mirror, the blind spot angles of each A-pillar, and the standard blind spot angle.

5. The rearview mirror parameter optimization method according to claim 4, characterized in that: The step of inputting the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested includes: Inputting the A-pillar blind spot angle into the calibration model to obtain the corresponding rearview mirror blind spot angle range; The inner and outer edge points of the rearview mirror and the rearview mirror angle are calculated using the rearview mirror blind spot angle range.

6. A rearview mirror parameter optimization system, applied to a vehicle to be tested, characterized in that: The rearview mirror parameter optimization system comprises: A first acquisition module, used for acquiring internal parameters of the vehicle to be tested, and inputting the internal parameters into a preset driving model, so that the driving model calculates the optimal driving posture of the vehicle to be tested according to the internal parameters; A second acquisition module is used to acquire the A-pillar parameters of the vehicle to be tested and the eye position information of the driver in the optimal driving posture, wherein the A-pillar parameters at least include the A-pillar size and the A-pillar position parameters; A first processing module, configured to calculate the blind spot angle of the A-pillar according to the size of the A-pillar, the position parameters of the A-pillar and the position information of both eyes; A second processing module is used to input the A-pillar blind spot angle into a preset calibration model to obtain the rearview mirror optimization parameters of the vehicle to be tested; The optimization module is used to obtain the rearview mirror parameters of the vehicle to be tested and optimize the rearview mirror parameters according to the rearview mirror optimization parameters.

7. The rearview mirror parameter optimization system according to claim 6, characterized in that: The system further comprises: A simulation module, which is used to obtain the physical data of multiple drivers and simulate the driving process of multiple drivers using RAMSIS software; A control module, for inputting seat data, steering wheel data, instrument panel data and pedal data into each of the driving processes, and adding functional item test data of the vehicle to be tested into each of the driving processes, to obtain a plurality of processed driving processes; A calculation module, used for performing posture calculation on each of the processed driving processes to obtain a plurality of normal driving posture data and other driving posture data; The third processing module is used to generate a corresponding driving model according to the normal driving posture data and the other driving posture data.

8. The rearview mirror parameter optimization system according to claim 7, characterized in that: The internal parameters include seat position parameters, steering wheel position parameters, and pedal position parameters. The first acquisition module includes: a first calculation unit, configured to input 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; A second calculation unit is used to input the normal driving posture data, the seat position parameter, the steering wheel position parameter, and the pedal position parameter into the RAMSIS software to perform simulated driving and generate a corresponding simulated driving result; The third calculation unit is used to determine the best driving posture according to the simulated driving result.

9. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the rearview mirror parameter optimization method as described in any one of claims 1 to 5 is implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the rearview mirror parameter optimization method as described in any one of claims 1 to 5 is implemented.

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