A method, system and device for measuring vehicle driving vision

Abstract

The present invention discloses a method, system and device for measuring the driving vision of an automobile. The method includes converting a first coordinate and a first angle to obtain a second coordinate; obtaining the coordinates of the entire automobile so that an operating object can select real-time coordinate information according to the coordinates of the entire automobile; performing OCR text recognition on the real-time coordinate information to extract a third coordinate so that the operating object can contact the probe of a three-dimensional articulated arm with a windshield based on the third coordinate to obtain a real-time coordinate body; performing angle matching processing on the second coordinate and the third coordinate to obtain the relative position of a virtual coordinate; performing relative position visualization processing on the relative position of the virtual coordinate based on the real-time coordinate body and the virtual coordinate body to generate driving vision measurement data; wherein the virtual coordinate body is obtained based on the second coordinate. This embodiment realizes the effective measurement of the driving vision of an automobile, reduces the dependence on auxiliary equipment and professionals, and improves the measurement efficiency, accuracy and convenience.

Description

Technical Field

[0001] The present invention relates to the field of measuring driving vision, and in particular to a method, system and equipment for measuring automobile driving vision. Background Art

[0002] The national standards for the front vision of automobiles and the national standards for defrosting and defogger are important components of China's automobile safety standards and play a key role in automobile safety and driving comfort. Their significance lies in that they ensure that the driver can clearly see the road and vehicle ahead in any weather conditions by stipulating the design and installation of the automobile's front-view mirror and defrosting and defogger equipment, thereby improving driving safety and comfort. In the process of testing and verifying the national standards for defrosting and defogger, it is necessary to measure the A and B areas of the automobile's field of vision in order to test and verify the working efficiency of the automobile's defrosting and defogger equipment.

[0003] Nowadays, there are two measurement schemes in the inspection industry for measuring the front field of view and defrost and defogger AB areas of a car: the first measurement method is to use a three-dimensional coordinate measurement articulated arm to establish the vehicle coordinate system, and adjust the seat back angle to the designed position with the three-dimensional coordinate measurement articulated arm, and then place the three-dimensional H-point measurement device at the main driver's seat. Some companies and institutions have developed automatic measurement equipment based on the three-dimensional H-point measurement device. The principle is to simulate the body trunk on the basis of the three-dimensional H-point measurement device, and install a laser emitting device on the trunk to simulate the driver's eyes. The laser emitting device is rotated to the human eye deviation angle required by the national standard. The intersection of the laser forward ray and the outer surface of the windshield is the windshield reference point, thereby establishing the vehicle's field of view area A and area B, the vehicle's front field of view 180° and other measurement data points. However, this method is expensive and requires the purchase or development of an automated laser emitting device; the level of human involvement is too high, making it difficult to achieve consistency in the test and the objectivity of the results may also be affected; the laser rotation angle accuracy requirements are high; the quality of the laser emitting device will affect the actual position of the coordinates of the three-dimensional H point, and there are too many factors that affect the output of the results; the laser emitting device is heavy, which is not conducive to transportation and is inefficient.

[0004] The second measurement method is to use a three-dimensional coordinate measurement joint arm to establish the vehicle coordinate system, establish a virtual V-point coordinate (at the driver's eye position) in the factory software equipped with the three-dimensional coordinate measurement joint arm, detect thousands of coordinate points on the windshield surface through the detection head, use the factory software equipped with the joint arm to fit the point cloud of the outer surface of the windshield to form a windshield curved surface model, and according to the human eye deviation angle required by the national standard, the corresponding straight line from the V-point connection point intersects the windshield curved surface model to form an intersection, obtain the intersection coordinates, and use the detection head of the three-dimensional coordinate measurement joint arm to perform real-time detection on the outer surface of the windshield until the real-time coordinate information of the detection head matches the intersection coordinate information, and use a marker pen to mark the data measurement points on the windshield. In this way, other angles of human eye deviation required by the national standard are measured successively, and finally the measurement data points such as the A and B areas of the vehicle's field of view and the 180° front field of view of the vehicle are established. However, the workload of detecting the windshield point cloud in this method is huge and the efficiency is low; the operation requires professionals and professional technical software, and the dependence on professionalism is obvious. Summary of the invention

[0005] The present invention provides a method, system and device for measuring the automobile driving field of view, which can effectively measure the automobile driving field of view, reduce the dependence on auxiliary equipment and professionals, and improve the measurement efficiency, accuracy and convenience.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method for measuring a vehicle driving field of view, comprising:

[0007] Convert the first coordinate and the first angle to obtain a second coordinate;

[0008] Obtain the vehicle coordinates so that the operating object can select real-time coordinate information according to the vehicle coordinates;

[0009] Perform OCR text recognition on the real-time coordinate information to extract the third coordinate, so that the operation object can contact the probe of the three-dimensional articulated arm with the windshield based on the third coordinate to obtain the real-time coordinate body;

[0010] The second coordinate and the third coordinate are matched with each other to obtain the relative position of the virtual coordinate;

[0011] Based on the real-time coordinate entity and the virtual coordinate entity, the relative position of the virtual coordinate is visualized to generate driving field of view measurement data; wherein the virtual coordinate entity is obtained based on the second coordinate.

[0012] In the implementation of the embodiment of the present invention, the first coordinate and the first angle are converted to obtain the second coordinate; the whole vehicle coordinates of the automobile are obtained so that the operating object can select the real-time coordinate information according to the whole vehicle coordinates of the automobile; the real-time coordinate information is subjected to OCR text recognition to extract the third coordinate so that the operating object can contact the probe of the three-dimensional joint arm with the windshield based on the third coordinate to obtain the real-time coordinate body; the second coordinate and the third coordinate are subjected to angle matching processing to obtain the relative position of the virtual coordinate; based on the real-time coordinate body and the virtual coordinate body, the relative position of the virtual coordinate is subjected to relative position visualization processing to generate driving vision measurement data; wherein the virtual coordinate body is obtained based on the second coordinate. Through coordinate conversion and OCR text recognition, combined with angle matching processing and relative orientation visualization processing, the driving vision of the automobile is automatically measured, and the operating object (operator) only needs to select the real-time coordinate information and cooperate with the contact of the probe of the three-dimensional joint arm with the windshield, which reduces the dependence on auxiliary equipment and professionals and improves convenience. Through the angle matching of the coordinate position and the relative position visualization, there is no need for excessive human participation, and the driving vision of the automobile is effectively measured, thereby improving measurement efficiency and accuracy.

[0013] As a preferred solution, the second coordinate and the third coordinate are processed by angle matching to obtain the relative position of the virtual coordinate, specifically:

[0014] Based on the position point of the field of vision of the driving field of vision, the coordinate of the V point is set as the second coordinate, and the position point of the probe is set as the third coordinate;

[0015] According to the second coordinate and the third coordinate, calculate the coordinate distance difference;

[0016] In the spatial coordinate system, based on the second coordinate, the third coordinate and the coordinate distance difference, a preset angle matching formula is used to calculate the angle to obtain a first angle and a second angle;

[0017] When the first angle and the second angle meet the preset target angle conditions, the position of the probe is visualized according to the actual position of the automobile windshield corresponding to the position point in the field of view of the driving field of view, and the relative position of the virtual coordinates is obtained.

[0018] As a preferred solution, based on the real-time coordinate entity and the virtual coordinate entity, the relative position of the virtual coordinate is visualized to generate driving vision measurement data, specifically:

[0019] Determine the deviation angle of the relative position of the real-time coordinate body according to the relative position of the real-time coordinate body and the virtual coordinate;

[0020] According to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, the real-time coordinate body is graphically visualized to obtain the driving vision measurement data.

[0021] As a preferred solution, according to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, the real-time coordinate body is graphically visualized to obtain the driving vision measurement data, specifically:

[0022] According to the virtual coordinate body, the current point position is determined, and according to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, the target angle is calculated through a preset angle function;

[0023] Based on the target angle and current point position, the real-time coordinate entity is visualized to obtain driving vision measurement data.

[0024] As a preferred solution, OCR text recognition is performed on the real-time coordinate information to extract the third coordinate, specifically:

[0025] Based on the preset recognition frequency, the real-time coordinate information is subjected to OCR text recognition through the OCR unified recognition interface to extract the third coordinate.

[0026] As a preferred solution, the vehicle coordinates are obtained as follows:

[0027] Based on the vehicle origin coordinate information, the vehicle coordinates are established through the three-dimensional articulated arm and preset software.

[0028] In order to solve the same technical problem, an embodiment of the present invention also provides a system for measuring a vehicle driving field of view, comprising: a coordinate conversion module, a vehicle coordinate acquisition module, an OCR text recognition module, an angle matching module and a relative position visualization module;

[0029] The coordinate conversion module is used to convert the first coordinate and the first angle to obtain the second coordinate;

[0030] The vehicle coordinate acquisition module is used to acquire the vehicle coordinates so that the operation object can select the real-time coordinate information according to the vehicle coordinates;

[0031] The OCR text recognition module is used to perform OCR text recognition on the real-time coordinate information and extract the third coordinate, so that the operation object can contact the probe of the three-dimensional articulated arm with the windshield based on the third coordinate to obtain the real-time coordinate body;

[0032] The angle matching module is used to perform angle matching processing on the second coordinate and the third coordinate to obtain the relative position of the virtual coordinate;

[0033] The relative position visualization module is used to perform relative position visualization processing on the relative position of the virtual coordinates based on the real-time coordinate entity and the virtual coordinate entity to generate driving field of view measurement data; wherein the virtual coordinate entity is obtained based on the second coordinate.

[0034] As a preferred solution, the angle matching module includes a position point determination unit, a distance difference calculation unit, an angle calculation unit and a position determination unit;

[0035] The position point determination unit is used to set the coordinate of the V point as the second coordinate and the position point of the probe as the third coordinate based on the position point of the field of view area of ​​the driving field of view;

[0036] The distance difference calculation unit is used to calculate the coordinate distance difference according to the second coordinate and the third coordinate;

[0037] The angle calculation unit is used to calculate the angle in the spatial coordinate system based on the second coordinate, the third coordinate and the coordinate distance difference using a preset angle matching formula to obtain a first angle and a second angle;

[0038] The position determination unit is used to visualize the position of the probe and obtain the relative position of the virtual coordinates according to the actual position of the automobile windshield corresponding to the position point in the field of view of the driving field of view when the first angle and the second angle meet the preset target angle conditions.

[0039] As a preferred solution, the relative position visualization module includes a deviation angle determination unit and a graphic visualization unit;

[0040] The deviation angle determination unit is used to determine the deviation angle of the relative position of the real-time coordinate body according to the relative position of the real-time coordinate body and the virtual coordinate;

[0041] The graphic visualization unit is used to perform graphic visualization on the real-time coordinate body according to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, so as to obtain driving vision measurement data.

[0042] In order to solve the same technical problem, an embodiment of the present invention further provides a computer device, including a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, a method for measuring a vehicle driving field of view is implemented.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] (1) It is only necessary to select the real-time coordinate information of the object and make the probe of the three-dimensional articulated arm contact the windshield. The rest of the measurement process is completed automatically, with low degree of human involvement, thus achieving objective measurement and improving the accuracy of the measurement results.

[0045] (2) Compared with the existing technology, there is no need for a laser emitting device and no requirement for rotation angle accuracy. By means of angle matching and relative position visualization processing, driving vision measurement data can be quickly generated, thereby improving measurement efficiency.

[0046] (3) The operation does not require professionals and professional technical software, which reduces dependence on professionalism, improves the convenience of driving vision measurement, and enhances universality.

[0047] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 : A flow chart of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0049] Figure 2 : A three-dimensional coordinate measurement articulated arm diagram of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0050] Figure 3 : A probe diagram of a three-dimensional coordinate measurement articulated arm of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0051] Figure 4 : A driving vision space coordinate system diagram of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0052] Figure 5 : A driving vision predicted position diagram of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0053] Figure 6 : A visualized bottom layer diagram of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0054] Figure 7 : A first result graph of point 1 of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0055] Figure 8 : A second result diagram of point 1 of an embodiment of a method for measuring a vehicle driving vision provided by the present invention;

[0056] Fig. 9 : A structural schematic diagram of an embodiment of a system for measuring a vehicle driving vision provided by the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] Embodiment 1

[0059] Please refer to Figure 1 , is a flow chart of a method for measuring a vehicle driving vision provided by an embodiment of the present invention. The measuring method includes steps 101 to 104, each of which is specifically as follows:

[0060] Step 101: Convert the first coordinate and the first angle to obtain a second coordinate.

[0061] In this embodiment, the measuring method of the present invention is an intelligent detection algorithm, which can be used as intelligent algorithm detection software to execute the present invention. The operating object (operator) obtains the corresponding coordinates and angles by inputting the R point coordinates (first coordinates) and the seat back angle (first angle) of the automobile design manufacturer, and automatically converts the second coordinates through coordinate conversion. It is worth noting that the second coordinate is the V point coordinate, and the V point is the point that represents the position of the driver's eyes. The two points V1 and V2 are commonly used to represent the different positions of the V point, V1 (x1, y1, z1), V2 (x2, y2, z2).

[0062] It should be noted that the coordinate conversion relationship is the relationship between the coordinates of point V and point R and the seat back angle specified in Clause 3.8 of GB 11555-2009. The position of point V relative to point R is determined by the X, Y, and Z coordinates of the three-dimensional coordinate system. The coordinate relationship is shown in Table 1.

[0063] Table 1 Coordinate relationship (mm)

[0064]

[0065] Table 1 gives the basic coordinates when the design backrest angle is 25°. If the design seat backrest angle is not 25°, the X and Z coordinates should be corrected according to the angle correction relationship in Table 2.

[0066] Table 2 Angle correction relationship

[0067]

[0068] Step 102: Acquire the vehicle coordinates so that the operating object can select real-time coordinate information according to the vehicle coordinates.

[0069] It should be noted that the operating object (operator) obtains the specific position coordinate information of the automobile parts and obtains the real-time coordinate information.

[0070] Optionally, obtain the vehicle coordinates, specifically:

[0071] Based on the vehicle origin coordinate information, the vehicle coordinate system is established through the three-dimensional articulated arm and preset software.

[0072] In this embodiment, the preset software is the factory software of the car. The origin coordinate information of the car is usually provided by the car design manufacturer. The whole vehicle coordinate system of the car is established through the three-dimensional joint arm (three-dimensional coordinate measurement joint arm) and the matching factory software, so as to obtain the whole vehicle coordinates of the car. Figure 2 As shown, the operating object (operator) selects the real-time xyz coordinate information in the intelligent algorithm detection software to obtain the real-time coordinate information.

[0073] Step 103: Perform OCR text recognition on the real-time coordinate information to extract the third coordinate, so that the operating object can contact the probe of the three-dimensional articulated arm with the windshield based on the third coordinate to obtain the real-time coordinate body.

[0074] In this embodiment, an interface of OCR text recognition technology is installed in the intelligent algorithm detection software to obtain the real-time XYZ coordinate information of the probe, and the coordinate is set to (x0, y0, z0), that is, the third coordinate. The operator (operation object) brings the probe of the three-dimensional articulated arm (three-dimensional coordinate measurement articulated arm probe) into contact with the windshield, and the intelligent algorithm detection software obtains the real-time coordinate body based on the third coordinate. The probe of the three-dimensional coordinate measurement articulated arm, such as Figure 3 shown.

[0075] Optionally, perform OCR text recognition on the real-time coordinate information to extract the third coordinate, specifically:

[0076] Based on the preset recognition frequency, the real-time coordinate information is subjected to OCR text recognition through the OCR unified recognition interface to extract the third coordinate.

[0077] In this embodiment, the front-end technology of a computer is used to design a graphical interface, and the OCR text recognition technology is used to recognize the real-time coordinate information at a preset recognition frequency (a recognition frequency of once per second).

[0078] It should be noted that the OCR technology is Alibaba Cloud's unified OCR recognition interface, which performs text recognition on the real-time coordinate information of the probe of the Polywork software supporting the three-coordinate articulated arm, extracts the XYZ information of the real-time coordinates, and obtains the third coordinate.

[0079] Step 104: Perform angle matching processing on the second coordinate and the third coordinate to obtain the relative position of the virtual coordinate.

[0080] In this embodiment, the relative position visualization of the virtual coordinates is realized through angle matching processing. The driving vision space coordinate system needs to be constructed during the angle matching processing. The driving vision space coordinate system is as follows: Figure 4As shown, the largest outer curve is the front windshield of the car, plane abcd is a plane parallel to the XZ axis, line ab is parallel to the X axis, line cd is parallel to the X axis; line ef is parallel to line ab and intersects with point V1; line V1-g is the projection of line 1-V1 on the plane based on the XY axis, the angle between line V1-g and line 1-V1 is α', and the angle between line 1-V1 and line V1-f is β'.

[0081] Optionally, step 104 specifically includes step 1041 to step 1044, each step is specifically as follows:

[0082] Step 1041: based on the position point of the field of vision of the driving field of vision, the coordinate of the point V is set as the second coordinate, and the position point of the probe is set as the third coordinate;

[0083] In this embodiment, based on the upper left corner point of area A of the driver's field of vision (viewing area position point 1 of the driving field of vision), the V1 coordinate is set as the second coordinate (X1, Y1, Z1), and the real-time coordinate point 1' corresponding to the position point of the probe is the third coordinate (X0, Y0, Z0).

[0084] Step 1042: Calculate the coordinate distance difference according to the second coordinate and the third coordinate;

[0085] In this embodiment, the V1 coordinate (second coordinate) is (X1, Y1, Z1), the real-time coordinate point 1' (second coordinate) is (X0, Y0, Z0), and the coordinate distance difference ΔX=X0-X1.

[0086] Step 1043: In the spatial coordinate system, based on the second coordinate, the third coordinate and the coordinate distance difference, a preset angle matching formula is used to calculate the angle to obtain a first angle and a second angle;

[0087] In this embodiment, the preset angle matching formula is as follows:

[0088]

[0089]

[0090] Among them, α' is Figure 4 In the driving vision space coordinate system, the point 1' where the probe is located, the point g and the point V1 form an angle, which is the first angle. β' is as follows Figure 4 In the driving vision space coordinate system, point 1' and point f where the probe is located form an angle with point V1, which is the second angle.

[0091] Step 1044: When the first angle and the second angle meet the preset target angle condition, the position of the probe is visualized according to the actual position of the automobile windshield corresponding to the position point in the field of view of the driving field of view, and the relative position of the virtual coordinates is obtained.

[0092] In this embodiment, it should be noted that the visual field position point is a point in the visual field, including point 1 to point 6, such as the upper left corner point of area A (point 1), and the other points are similar. Taking the upper left corner point of area A as an example, the preset target angle condition is when α' is equal to Figure 4 When the α target angle of midpoint 1 is (3°), and β' is equal to Figure 4 When the β target angle of point 1 in the figure is 13°, the position point 1' of the probe is the upper left corner point of the driver's field of view A (the upper left corner point 1 of the driver's field of view A) located at the actual position of the front windshield of the car. The target angles of α and β are shown in Table 3.

[0093] Table 3 Target angles of α and β

[0094]

[0095] It should be noted that, by using this angle matching processing algorithm to match the target angle of the national standard "GB 11555-2009 Performance and Test Method of Automobile Windshield Defrosting and Defogging System", the relative position of the virtual coordinates on the windshield of the automobile can be obtained by angle matching, point 1, point 2, point 3, point 4, point 5, point 6, and point 5' and point 6' (these two points can be obtained based on the symmetry of the central axis of the automobile). The line connecting points 1 to 4 can form area A, and the line connecting points 5, point 5, point 5', and point 6' can form area B on the windshield. Based on the theory and experience of the point position, the expected position of the driving field of vision, such as Figure 5 shown.

[0096] Step 105: Based on the real-time coordinate entity and the virtual coordinate entity, the relative position of the virtual coordinate is visualized to generate driving field of view measurement data; wherein the virtual coordinate entity is obtained based on the second coordinate.

[0097] In this embodiment, the underlying graph is visualized, such as Figure 6As shown in the figure, the dark gray dot is the V1 body, that is, the virtual coordinate body. The virtual coordinate position of the corresponding point is obtained in real time through V1 or V1 according to the target angle of point 1 to 6 in Table 3. For example, if the operation object (operator) knows the measurement point 1 and clicks the software to measure point 1, the software can match the preset target angles of α and β, and the dark gray dot is the virtual coordinate position of point 1. The gray dot is the real-time coordinate body. The relative position of the actual and virtual coordinates can be visualized by visual planarization of 3D coordinates, that is, the front-end technology of the computer is used to design the graphical interface, and the relative position of the real-time coordinate body and the virtual coordinate of the probe in the 2D plane is visualized. With the guidance of the graphical interface of virtual coordinate visualization, the operator can efficiently and accurately draw the 1 to 6 points required by the national standard on the windshield to form the AB area (field of view measurement data), connect the 1 to 4 points to form the A area, and the 5 to 6 points are symmetrical to the center axis of the vehicle to form the 5' and 6' points, and finally connect the 5, 6, 5', 6' to form the B area.

[0098] It should be noted that the design element of the bottom layer is that the bottom layer is a plane formed by the ZY axis, the light gray dots are the probe positions (which will change in real time according to the movement of the probe), the dark gray dots are the virtual coordinates of the positions (1 to 6), the light gray dots are within the 5mm error range of the large circle, and the light gray dots are within the 2mm error range of the small circle. Among them, the dark gray dots are the virtual coordinate positions of the corresponding points obtained in real time through V1 or V1 according to the target angles of the points 1 to 6 in Table 3.

[0099] The implementation of the embodiment of the present invention uses ORC text recognition technology based on a three-dimensional coordinate articulated arm and supporting professional software, combined with a technical algorithm for visualizing the relative position of virtual coordinates (angle matching) and a technical algorithm for visualizing the relative position of virtual coordinates, and ultimately can achieve drawing of the AB area on the glass windshield to obtain driving field of view measurement data.

[0100] Optionally, step 105 specifically includes step 1051 to step 1052, and each step is specifically as follows:

[0101] Step 1051: Determine the deviation angle of the relative position of the real-time coordinate body according to the relative position of the real-time coordinate body and the virtual coordinate;

[0102] Step 1052: According to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, the real-time coordinate body is graphically visualized to obtain driving field of view measurement data.

[0103] In this embodiment, the graphic interface is designed using computer front-end technology, and the real-time coordinate information is recognized at a preset recognition frequency in conjunction with OCR text recognition technology to obtain the third coordinate, and then the real-time coordinate body is obtained.

[0104] Optionally, step 1052 is specifically as follows: according to the virtual coordinate body, determine the current point position, and according to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, calculate the target angle through a preset angle function; based on the target angle and the current point position, visualize the real-time coordinate body to obtain driving field of view measurement data.

[0105] As an example of this embodiment, the process of visualizing the point 1 graphic is as follows: Assuming that point 1 (light gray point) is in the outer circle:

[0106] The preset angle function is:

[0107]

[0108]

[0109] Assume that the preset angle function calculates: actual angle α = 9° (target angle α is 3°), β = 5° (target angle β is 13°), and then according to the deviation between the actual angle and the target angle is greater than 5°, the first result graph of point 1 is as follows Figure 7 As shown, the operating object (operator) can know the relative position of the current probe and point 1 according to the result diagram of point 1. At this time, the operator knows that the probe should be moved to the lower right corner until the light gray dot coincides with the dark gray dot. The probe position is the target point of point 1 on the windshield, and the operator can mark it with a marker.

[0110] As another example of this embodiment, the process of visualizing the point 1 graphic is as follows: Assuming that point 1 (light gray dot) is in the inner circle:

[0111] The preset angle function is:

[0112]

[0113]

[0114] Assume that the preset angle function calculates: actual angle α = 3.9° (target angle α is 3°), β = 10° (target angle β is 13°), and then the deviation between the actual angle and the target angle is between 2° and 5°. At this time, the operator knows that the probe should be slightly moved to the lower right corner until the light gray point coincides with the dark gray point. The probe position is the target point of point 1 on the windshield. The operator can mark it on the windshield with a marker. The second result diagram of point 1 is as follows: Figure 8 The same procedure is repeated for other points to obtain point measurement data, as shown in Table 4 below.

[0115] Table 4 Point measurement data

[0116]

[0117] In the implementation of the embodiment of the present invention, the first coordinate and the first angle are converted to obtain the second coordinate; the whole vehicle coordinates of the automobile are obtained so that the operating object can select the real-time coordinate information according to the whole vehicle coordinates of the automobile; the real-time coordinate information is subjected to OCR text recognition to extract the third coordinate so that the operating object can contact the probe of the three-dimensional joint arm with the windshield based on the third coordinate to obtain the real-time coordinate body; the second coordinate and the third coordinate are subjected to angle matching processing to obtain the relative position of the virtual coordinate; based on the real-time coordinate body and the virtual coordinate body, the relative position of the virtual coordinate is subjected to relative position visualization processing to generate driving vision measurement data; wherein the virtual coordinate body is obtained based on the second coordinate. Through coordinate conversion and OCR text recognition, combined with angle matching processing and relative position visualization processing, the driving vision of the automobile is automatically measured, and the operating object (operator) only needs to select the real-time coordinate information and cooperate to contact the probe of the three-dimensional joint arm with the windshield, thereby reducing the dependence on auxiliary equipment and professionals and improving convenience. Through the angle matching of the coordinate position and the relative position visualization, there is no need for excessive human participation, and the driving vision of the automobile is effectively measured, thereby improving measurement efficiency and accuracy.

[0118] Compared with the prior art, the present invention has the following beneficial effects:

[0119] (1) It is only necessary to select the real-time coordinate information of the object and make the probe of the three-dimensional articulated arm contact the windshield. The rest of the measurement process is completed automatically, with low degree of human involvement, thus achieving objective measurement and improving the accuracy of the measurement results.

[0120] (2) Compared with the existing technology, there is no need for a laser emitting device and no requirement for rotation angle accuracy. By means of angle matching and relative position visualization processing, driving vision measurement data can be quickly generated, thereby improving measurement efficiency.

[0121] (3) The operation does not require professionals and professional technical software, which reduces dependence on professionalism, improves the convenience of driving vision measurement, and enhances universality.

[0122] Embodiment 2

[0123] Accordingly, see Fig. 9 , Fig. 9 1 is a schematic diagram of the structure of a second embodiment of a system for measuring the vehicle driving vision provided by the present invention. Fig. 9 As shown, the vehicle driving vision measurement system includes a coordinate conversion module 111, a vehicle coordinate acquisition module 112, an OCR text recognition module 113, an angle matching module 114 and a relative position visualization module 115;

[0124] The coordinate conversion module 111 is used to convert the first coordinate and the first angle to obtain the second coordinate;

[0125] The vehicle coordinate acquisition module 112 is used to acquire the vehicle coordinates so that the operation object can select the real-time coordinate information according to the vehicle coordinates;

[0126] The OCR character recognition module 113 is used to perform OCR character recognition on the real-time coordinate information and extract the third coordinate, so that the operation object can contact the probe of the three-dimensional articulated arm with the windshield based on the third coordinate to obtain the real-time coordinate body;

[0127] The angle matching module 114 is used to perform angle matching processing on the second coordinate and the third coordinate to obtain the relative position of the virtual coordinate;

[0128] The angle matching module 114 includes a position point determination unit, a distance difference calculation unit, an angle calculation unit and a position determination unit;

[0129] The position point determination unit is used to set the coordinate of the V point as the second coordinate and the position point of the probe as the third coordinate based on the position point of the field of view area of ​​the driving field of view;

[0130] The distance difference calculation unit is used to calculate the coordinate distance difference according to the second coordinate and the third coordinate;

[0131] The angle calculation unit is used to calculate the angle in the spatial coordinate system based on the second coordinate, the third coordinate and the coordinate distance difference using a preset angle matching formula to obtain a first angle and a second angle;

[0132] The position determination unit is used to visualize the position of the probe and obtain the relative position of the virtual coordinates according to the actual position of the automobile windshield corresponding to the position point in the field of view of the driving field of view when the first angle and the second angle meet the preset target angle conditions.

[0133] The relative position visualization module 115 is used to perform relative position visualization processing on the relative position of the virtual coordinates based on the real-time coordinate entity and the virtual coordinate entity to generate driving field of view measurement data; wherein the virtual coordinate entity is obtained based on the second coordinate.

[0134] The relative position visualization module 115 includes a deviation angle determination unit and a graphic visualization unit;

[0135] The deviation angle determination unit is used to determine the deviation angle of the relative position of the real-time coordinate body according to the relative position of the real-time coordinate body and the virtual coordinate;

[0136] The graphic visualization unit is used to perform graphic visualization on the real-time coordinate body according to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, so as to obtain driving vision measurement data.

[0137] In the implementation of the embodiment of the present invention, the first coordinate and the first angle are converted to obtain the second coordinate; the whole vehicle coordinates of the automobile are obtained so that the operating object can select the real-time coordinate information according to the whole vehicle coordinates of the automobile; the real-time coordinate information is subjected to OCR text recognition to extract the third coordinate so that the operating object can contact the probe of the three-dimensional joint arm with the windshield based on the third coordinate to obtain the real-time coordinate body; the second coordinate and the third coordinate are subjected to angle matching processing to obtain the relative position of the virtual coordinate; based on the real-time coordinate body and the virtual coordinate body, the relative position of the virtual coordinate is subjected to relative position visualization processing to generate driving vision measurement data; wherein the virtual coordinate body is obtained based on the second coordinate. Through coordinate conversion and OCR text recognition, combined with angle matching processing and relative position visualization processing, the driving vision of the automobile is automatically measured, and the operating object (operator) only needs to select the real-time coordinate information and cooperate to contact the probe of the three-dimensional joint arm with the windshield, thereby reducing the dependence on auxiliary equipment and professionals and improving convenience. Through the angle matching of the coordinate position and the relative position visualization, there is no need for excessive human participation, and the driving vision of the automobile is effectively measured, thereby improving measurement efficiency and accuracy.

[0138] The above-mentioned system for measuring the driving visual field of an automobile can implement a method for measuring the driving visual field of an automobile in the above-mentioned method embodiment. The options in the above-mentioned method embodiment are also applicable to this embodiment and will not be described in detail here. The rest of the contents of the embodiment of the present application can refer to the contents of the above-mentioned method embodiment, and will not be repeated in this embodiment.

[0139] In addition, an embodiment of the present application further provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the steps in any of the above method embodiments are implemented.

[0140] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for measuring a vehicle driving field of view, characterized in that: include: Convert the first coordinate and the first angle to obtain a second coordinate; Acquire the vehicle coordinates so that the operating object can select the real-time coordinate information according to the vehicle coordinates; Performing OCR text recognition on the real-time coordinate information to extract the third coordinate, so that the operating object can contact the probe of the three-dimensional articulated arm with the windshield based on the third coordinate to obtain the real-time coordinate body; The second coordinate and the third coordinate are matched at an angle to obtain the relative position of the virtual coordinate; the second coordinate and the third coordinate are matched at an angle to obtain the relative position of the virtual coordinate, specifically: based on the position point of the field of vision of the driving field of vision, the coordinate of the point V is set as the second coordinate, and the position point of the probe is set as the third coordinate; according to the second coordinate and the third coordinate, the coordinate distance difference is calculated; In the spatial coordinate system, based on the second coordinate, the third coordinate and the coordinate distance difference, a preset angle matching formula is used to calculate the angle to obtain a first angle and a second angle; when the first angle and the second angle meet a preset target angle condition, the position of the probe is visualized according to the actual position of the automobile windshield corresponding to the position point of the field of view area of ​​the driving field of view, so as to obtain the relative position of the virtual coordinate; Based on the real-time coordinate entity and the virtual coordinate entity, the relative position of the virtual coordinate is visualized to generate driving field of view measurement data; wherein the virtual coordinate entity is obtained based on the second coordinate.

2. The method for measuring the vehicle driving vision according to claim 1, characterized in that: Based on the real-time coordinate entity and the virtual coordinate entity, the relative position of the virtual coordinate is visualized to generate driving vision measurement data, specifically: Determining a deviation angle of the relative position of the real-time coordinate body according to the relative position of the real-time coordinate body and the virtual coordinate; According to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, the real-time coordinate body is graphically visualized to obtain the driving field of view measurement data.

3. The method for measuring the vehicle driving vision according to claim 2, characterized in that: According to the deviation angle of the relative position between the virtual coordinate body and the real-time coordinate body, the real-time coordinate body is graphically visualized to obtain the driving vision measurement data, specifically: According to the virtual coordinate body, the current point position is determined, and according to the deviation angle of the relative position of the virtual coordinate body and the real-time coordinate body, the target angle is calculated by a preset angle function; Based on the target angle and the current point position, the real-time coordinate body is visualized to obtain the driving vision measurement data.

4. The method for measuring the vehicle driving vision according to claim 1, characterized in that: The performing OCR text recognition on the real-time coordinate information to extract the third coordinate is specifically: Based on a preset recognition frequency, the real-time coordinate information is subjected to OCR text recognition through an OCR unified recognition interface to extract the third coordinate.

5. The method for measuring the vehicle driving vision according to claim 1, characterized in that: The obtaining of the vehicle coordinates is specifically as follows: Based on the vehicle origin coordinate information, the vehicle coordinates are established through the three-dimensional articulated arm and preset software.

6. A system for measuring vehicle driving vision, characterized in that: include: Coordinate conversion module, vehicle coordinate acquisition module, OCR text recognition module, angle matching module and relative position visualization module; The coordinate conversion module is used to convert the first coordinate and the first angle to obtain the second coordinate; The whole vehicle coordinate acquisition module is used to acquire the whole vehicle coordinates of the vehicle, so that the operation object selects the real-time coordinate information according to the whole vehicle coordinates of the vehicle; The OCR text recognition module is used to perform OCR text recognition on the real-time coordinate information and extract the third coordinate, so that the operation object can contact the probe of the three-dimensional articulated arm with the windshield based on the third coordinate to obtain the real-time coordinate body; The angle matching module is used to perform angle matching processing on the second coordinate and the third coordinate to obtain the relative position of the virtual coordinate; the angle matching module includes a position point determination unit, a distance difference calculation unit, an angle calculation unit and a position determination unit; the position point determination unit is used to set the coordinate of point V to the second coordinate and the position point of the probe to the third coordinate based on the position point of the field of view area of ​​the driving field of view; the distance difference calculation unit is used to calculate the coordinate distance difference according to the second coordinate and the third coordinate; the angle calculation unit is used to perform angle calculation based on the second coordinate, the third coordinate and the coordinate distance difference in the spatial coordinate system using a preset angle matching formula to obtain a first angle and a second angle; the position determination unit is used to visualize the position of the probe according to the actual position of the car windshield corresponding to the position point of the field of view area of ​​the driving field of view when the first angle and the second angle meet the preset target angle condition, and obtain the relative position of the virtual coordinate; The relative position visualization module is used to perform relative position visualization processing on the relative position of the virtual coordinates based on the real-time coordinate body and the virtual coordinate body to generate driving field of view measurement data; wherein the virtual coordinate body is obtained based on the second coordinates.

7. The vehicle driving vision measurement system according to claim 6, characterized in that: The relative position visualization module includes a deviation angle determination unit and a graphic visualization unit; The deviation angle determination unit is used to determine the deviation angle of the relative position of the real-time coordinate body according to the relative position of the real-time coordinate body and the virtual coordinate; The graphic visualization unit is used to perform graphic visualization on the real-time coordinate body according to the deviation angle of the relative position between the virtual coordinate body and the real-time coordinate body, so as to obtain the driving vision measurement data.

8. A computer device, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the method for measuring the automobile driving field of view as claimed in any one of claims 1 to 5 is implemented.

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