Vehicle Appearance Optimization Method, Device, Equipment and Storage Medium

Abstract

The present invention belongs to the technical field of vehicles, and discloses a vehicle appearance optimization method, device, equipment and storage medium. The method includes: acquiring sensor acquisition data of the vehicle; determining an external seam region, an internal fixing region and an external part region according to the sensor acquisition data; performing visibility evaluation on the external seam region, the internal fixing region and the external part region according to a preset checking rule and the sensor acquisition data to obtain an evaluation result; and determining an appearance optimization strategy according to the evaluation result. By the above method, each area to be checked in the external seam region, the internal fixing region and the external part region of the vehicle is determined through sensor acquisition data, visibility evaluation is performed, and an appearance optimization strategy is determined based on the evaluation result, so as to realize the evaluation of the vehicle appearance under a unified standard and complete the optimization of the vehicle appearance, improve the sensory quality and refinement of the vehicle, and increase customer satisfaction and purchase desire.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular, to a method, device, equipment and storage medium for optimizing the appearance of a vehicle. Background Art

[0002] Competition in the automotive industry is intensifying, and customers are demanding higher and higher quality of automobiles. The appearance, color matching effect and refinement of process details of automobiles are becoming increasingly attractive to customers, especially female customers. And the detail processing of internal parts exposed outside is one of the important contents of the so-called process refinement (detail refinement) in daily life. The exposure of internal parts includes the external visibility of the contents of the vehicle seams and the visible state of the exposed parts of the whole vehicle. There is currently no unified method and standard for discovering and exposing sensory defects in the early digital design stage, and then carrying out targeted detail design and processing to improve the sensory quality, and further improve the refinement, customer satisfaction and purchase desire. Summary of the Invention

[0003] The main purpose of the present invention is to provide a method, device, equipment and storage medium for optimizing the appearance of a vehicle, aiming to solve the technical problem that the prior art cannot achieve all-round guardianship of children through a smart watch.

[0004] To achieve the above object, the present invention provides a method for optimizing the appearance of a vehicle, the method for optimizing the appearance of a vehicle includes:

[0005] Obtaining the sensor acquisition data of the vehicle;

[0006] Determining an external seam area, an internal fixed area and an external part area according to the sensor acquisition data;

[0007] Performing visibility evaluation on the external seam area, the internal fixed area and the external part area according to a preset verification rule and the sensor acquisition data to obtain an evaluation result;

[0008] Determining an appearance optimization strategy according to the evaluation result.

[0009] Optionally, the determining an external seam area, an internal fixed area and an external part area according to the sensor acquisition data includes:

[0010] Determining the external seam area of the vehicle according to the seam acquisition data in the sensor acquisition data;

[0011] Determining the internal fixed area of the vehicle according to the window acquisition data in the sensor acquisition data;

[0012] Determining the external part area of the vehicle according to the rear end acquisition data in the sensor acquisition data.

[0013] Optionally, determining the external seam region of the vehicle according to the split seam acquisition data in the data collected by the sensor includes:

[0014] Determining the contour coordinates according to the split seam acquisition data in the data collected by the sensor;

[0015] Performing calibration positioning according to the contour coordinates to determine the calibration positioning points;

[0016] Determining the external seam region according to the calibration positioning points.

[0017] Optionally, performing calibration positioning according to the contour coordinates to determine the calibration positioning points includes:

[0018] Determining the target contour tangent points according to the contour coordinates;

[0019] Determining the midpoint of the connection line, the first straight line and the second straight line according to the target contour tangent points;

[0020] Determining the calibration positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line and the second straight line.

[0021] Optionally, determining the calibration positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line and the second straight line includes:

[0022] Determining the third straight line according to the target contour tangent points and the midpoint of the connection line;

[0023] Determining the reference points according to the first straight line and the third straight line;

[0024] Determining the first tangent point and the second tangent point according to the reference points;

[0025] Determining the calibration positioning points according to the first tangent point, the second tangent point, the first straight line and the second straight line.

[0026] Optionally, performing visibility evaluation on the external seam region, the internal fixed region and the external part region according to the preset calibration rules and the data collected by the sensor to obtain an evaluation result includes:

[0027] Determining the external seam image according to the data collected by the sensor and the external seam region;

[0028] Determining the internal fixed image according to the data collected by the sensor and the internal fixed region;

[0029] Determining the external part image according to the data collected by the sensor and the external part region;

[0030] Performing visibility evaluation on the external seam image, the internal fixed image and the external part image according to the preset calibration rules to obtain an evaluation result.

[0031] Optionally, perform visibility evaluation on the external seam image, the internal fixation image, and the external part image according to the preset verification rules to obtain an evaluation result, including:

[0032] Compare the external seam image with the seam verification rule in the preset verification rules to obtain a first evaluation result;

[0033] Compare the internal fixation image with the internal part verification rule in the preset verification rules to obtain a second evaluation result;

[0034] Compare the external part image with the external part verification rule in the preset verification rules to obtain a third evaluation result;

[0035] Obtain the evaluation result according to the first evaluation result, the second evaluation result, and the third evaluation result.

[0036] In addition, to achieve the above object, the present invention also proposes a vehicle appearance optimization device, where the vehicle appearance optimization device includes:

[0037] An acquisition module, configured to acquire sensor acquisition data of a vehicle;

[0038] A determination module, configured to determine an external seam area, an internal fixation area, and an external part area according to the sensor acquisition data;

[0039] An evaluation module, configured to perform visibility evaluation on the external seam area, the internal fixation area, and the external part area according to preset verification rules and the sensor acquisition data to obtain an evaluation result;

[0040] The determination module is further configured to determine an appearance optimization strategy according to the evaluation result.

[0041] In addition, to achieve the above object, the present invention also proposes a vehicle appearance optimization device, where the vehicle appearance optimization device includes: a memory, a processor, and a vehicle appearance optimization program stored on the memory and executable on the processor, and the vehicle appearance optimization program is configured to implement the vehicle appearance optimization method as described above.

[0042] In addition, to achieve the above object, the present invention also proposes a storage medium, where a vehicle appearance optimization program is stored on the storage medium, and when the vehicle appearance optimization program is executed by a processor, it implements the vehicle appearance optimization method as described above.

[0043] The present invention obtains the data collected by the sensors of the vehicle; determines the external seam area, the internal fixed area, and the external part area according to the data collected by the sensors; performs visibility evaluation on the external seam area, the internal fixed area, and the external part area according to the preset verification rules and the data collected by the sensors to obtain an evaluation result; and determines an appearance optimization strategy according to the evaluation result. By collecting data through sensors, the respective areas to be verified of the external seam area, the internal fixed area, and the external part area of the vehicle are determined, and visibility evaluation is performed on each area to be verified according to the preset verification rules and the sensor data, so as to obtain an evaluation result. Based on the evaluation result, an appearance optimization strategy is determined, thereby realizing the evaluation of the vehicle appearance under a unified standard, completing the optimization of the vehicle appearance, improving the sensory quality and refinement of the vehicle, and enhancing the customer satisfaction and purchase desire. Description of the Drawings

[0044] Figure 1 It is a schematic structural diagram of a vehicle appearance optimization device for the hardware operating environment involved in the solution of the embodiment of the present invention;

[0045] Figure 2 It is a schematic flowchart of the first embodiment of the vehicle appearance optimization method of the present invention;

[0046] Figure 3 It is a schematic diagram of a seam verification sensor for an embodiment of the vehicle appearance optimization method of the present invention;

[0047] Figure 4 It is a schematic diagram of an internal part verification sensor for an embodiment of the vehicle appearance optimization method of the present invention;

[0048] Figure 5 It is a schematic diagram of another internal part verification sensor for an embodiment of the vehicle appearance optimization method of the present invention;

[0049] Figure 6 It is a schematic diagram of an external part verification sensor for an embodiment of the vehicle appearance optimization method of the present invention;

[0050] Figure 7 It is a schematic flowchart of the second embodiment of the vehicle appearance optimization method of the present invention;

[0051] Figure 8 It is a schematic diagram of a seam acquisition area for an embodiment of the vehicle appearance optimization method of the present invention;

[0052] Figure 9 It is a schematic diagram of an external seam area for an embodiment of the vehicle appearance optimization method of the present invention;

[0053] Figure 10 It is a block diagram of the structure of the first embodiment of the vehicle appearance optimization device of the present invention.

[0054] The realization, functional features, and advantages of the objectives of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0055] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] Refer to Figure 1 , Figure 1 which is a schematic structural diagram of a vehicle appearance optimization device for the hardware operating environment involved in the embodiment solution of the present invention.

[0057] As Figure 1 shown, the vehicle appearance optimization device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed Random Access Memory (RAM) memory or a stable Non-Volatile Memory (NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0058] Those skilled in the art can understand that Figure 1 the structure shown in

[0059] As Figure 1 shown, the memory 1005, as a storage medium, may include an operating system, a network communication module, a user interface module, and a vehicle appearance optimization program.

[0060] In Figure 1In the vehicle appearance optimization device shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the vehicle appearance optimization device of the present invention can be arranged in the vehicle appearance optimization device. The vehicle appearance optimization device calls the vehicle appearance optimization program stored in the memory 1005 through the processor 1001 and executes the vehicle appearance optimization method provided by the embodiments of the present invention.

[0061] Embodiments of the present invention provide a vehicle appearance optimization method. Refer to Figure 2 , Figure 2 which is a schematic flowchart of the first embodiment of a vehicle appearance optimization method of the present invention.

[0062] The vehicle appearance optimization method includes the following steps:

[0063] Step S10: Obtain the sensor acquisition data of the vehicle.

[0064] It should be noted that the execution subject of this embodiment is the control terminal in the vehicle appearance optimization system. The control terminal receives the sensor acquisition data collected by each sensor around the vehicle in the vehicle appearance optimization system and determines the external seam region, the internal fixed region, and the external part region that need to be evaluated for appearance visibility based on the sensor acquisition data. Visibility evaluation is performed on the external seam region, the internal fixed region, and the external part region according to the preset verification rules and sensor data, so as to obtain the evaluation results of each area to be verified. Finally, the control terminal determines the corresponding appearance optimization strategy according to the evaluation results of each area to be verified.

[0065] It can be understood that multiple sensors will be arranged around the vehicle to be evaluated for visibility. The sensor can be placed at the eyes of a mannequin set according to a human model, or can be fixed around the vehicle with a bracket. The sensor can include multiple image sensors and multiple position sensors. The position sensor can locate the current position coordinates, and the image sensor can be used to capture images of the area where the image sensor and the position sensor are located. The different positions of each sensor are used to obtain the acquisition data of different areas of the vehicle. The control terminal obtains the sensor acquisition data of each sensor.

[0066] Step S20: Determine the external seam region, the internal fixed region, and the external part region according to the sensor acquisition data.

[0067] It should be noted that the outer seam region refers to the region where there are gaps at the connection of the hoods on the left and right sides of the vehicle; the internal fixing region refers to the lower part of the instrument assembly inside the vehicle, the vehicle interior trim, which includes the interior trim panels of the pillars, the inner door panels, the interior trim panels of the triangular windows, and regions with water cut strips, etc.; the external part region refers to the regions directly in front of and directly behind the vehicle. The outer seam region, the internal fixing region, and the external part region are all regions of the vehicle to be checked.

[0068] It can be understood that after the control terminal obtains the sensor acquisition data, the outer seam region, the internal fixing region, and the external part region are determined according to the sensor acquisition data of each sensor around the vehicle.

[0069] Step S30: Perform visibility evaluation on the outer seam region, the internal fixing region, and the external part region according to the preset checking rules and the sensor acquisition data to obtain an evaluation result.

[0070] It should be noted that the preset checking rules refer to the standard appearance images corresponding to each region of the vehicle to be checked preset in advance. Visibility evaluation is performed on each region of the vehicle to be checked: the outer seam region, the internal fixing region, and the external part region according to the sensor acquisition data and the preset checking rules, so as to obtain the visibility evaluation results of each region to be checked.

[0071] It can be understood that in order to perform accurate visibility evaluation on each region to be checked based on the sensor acquisition data, further, the performing visibility evaluation on the outer seam region, the internal fixing region, and the external part region according to the preset checking rules and the sensor acquisition data to obtain an evaluation result includes: determining an outer seam image according to the sensor acquisition data and the outer seam region; determining an internal fixing image according to the sensor acquisition data and the internal fixing region; determining an external part image according to the sensor acquisition data and the external part region; performing visibility evaluation on the outer seam image, the internal fixing image, and the external part image according to the preset checking rules to obtain an evaluation result.

[0072] In specific implementation, since the sensor acquisition data includes the acquisition data of multiple image sensors, it is necessary to match the sensor data collected by each image sensor in the sensor acquisition data with each region to be checked, and use the image sensor acquisition data corresponding to the outer seam region in the sensor acquisition data as the outer seam image; use the image sensor acquisition data corresponding to the internal fixing region in the sensor acquisition data as the internal fixing image; use the image sensor acquisition data corresponding to the external part region in the sensor acquisition data as the external part image.

[0073] It should be noted that the visibility of the external seam image, the internal fixation image, and the external part image is evaluated respectively according to the preset verification rules to obtain the evaluation results of each area to be verified.

[0074] It can be understood that in order to obtain accurate evaluation results during the visibility evaluation based on the images corresponding to each area to be verified and the preset verification rules, further, the visibility evaluation of the external seam image, the internal fixation image, and the external part image according to the preset verification rules to obtain the evaluation results includes: comparing the seam verification rule in the preset verification rules with the external seam image to obtain a first evaluation result; comparing the internal part verification rule in the preset verification rules with the internal fixation image to obtain a second evaluation result; comparing the external part verification rule in the preset verification rules with the external part image to obtain a third evaluation result; and obtaining the evaluation result according to the first evaluation result, the second evaluation result, and the third evaluation result.

[0075] In specific implementation, the seam verification rule refers to the standard appearance image corresponding to the vehicle's external seam area preset in the preset verification rules; the internal part verification rule refers to the standard appearance image corresponding to the internal fixation area preset in the preset verification rules; the external part verification rule refers to the standard appearance image corresponding to the external part area preset in the preset verification rules.

[0076] It should be noted that the seam verification rule of the external seam area is compared with the external seam image to obtain a first evaluation result. In the seam verification rule, the standard appearance image collected by the image sensor at the eye position of the 1.88M mannequin within the 15° fan-shaped range of the vehicle seam in the left, right, up, and down directions and with a depth within 60mm is used, and the visible parts such as wiring harnesses, bolts, and brackets are not visible. The specific placement position of the sensor can be as Figure 3 shown. Based on the comparison between the seam verification rule and the external seam image, it is confirmed whether there are visible parts such as wiring harnesses, bolts, and brackets in the external seam image, thereby obtaining the first evaluation result. The size of the mannequin can be other heights, and this embodiment does not limit this.

[0077] It can be understood that the internal part verification rule of the internal fixation area is compared with the internal fixation image to obtain a second evaluation result. In the internal part verification rule, the standard appearance image collected by the image sensor at the eye position of the 1.88M mannequin at the position flush with the vehicle B-pillar and at a certain distance from the vehicle is used, and the visible parts such as wiring harnesses, bolts, and brackets in the lower area of the front instrument panel assembly that are not visible. The specific placement position of the sensor can be as Figure 4As shown, in the standard appearance image collected at the side window of the vehicle and through the window, there is no sharp boundary of the interior visible in the vehicle interior area and no objects that are likely to cause discomfort. The specific placement position of the sensor can be as Figure 5 shown. Based on the internal part checking rules, compare with the internal fixation image to confirm whether there are easily visible components such as wiring harnesses, bolts, brackets, etc. in the lower area of the front instrument panel assembly in the internal fixation area, and confirm whether there is a sharp boundary of the interior visible in the vehicle interior area and whether there are objects that are likely to cause discomfort, so as to obtain the second evaluation result. The size of the mannequin can be other heights, and this embodiment does not limit this.

[0078] In specific implementation, compare the external part checking rules of the external part area with the external part image to obtain the third evaluation result. In the external part checking rules, the content blocked by the front and rear bumpers of the vehicle that cannot be seen in the standard appearance images collected by the image sensors located at the eyes of the mannequins at 1.53M, 1.72M, and 1.88M in the vehicle's due front and due rear and at a certain distance from the vehicle are used. The specific placement position of the sensor can be as Figure 6 shown. Based on the comparison between the external part checking rules and the external part image, confirm whether the content blocked by the front and rear bumpers of the vehicle can be seen in the vehicle's due front and due rear, so as to obtain the third evaluation result. The size of the mannequin can be other heights, and this embodiment does not limit this, but here, mannequins of three sizes are required to install image sensors at the eyes for data collection.

[0079] It should be noted that after obtaining the first evaluation result, the second evaluation result, and the third evaluation result, summarize the first evaluation result, the second evaluation result, and the third evaluation result to obtain the evaluation result.

[0080] Step S40: Determine the appearance optimization strategy according to the evaluation result.

[0081] It should be noted that after obtaining the evaluation results, corresponding appearance optimization strategies need to be determined according to the evaluation results. For example, if there are visible components such as wire harnesses, bolts, and brackets in the external seam image of the first evaluation result, the corresponding appearance optimization strategies can be to remove the visible components, shift the visible components, cover the visible components, spray the surface of the visible components black, change the connection and fixing method of the visible components, etc. in the area corresponding to the visible components in the external seam image; if the sharp boundary of the interior trim and the uncomfortable objects are visible in the internal fixing image of the second evaluation result, the corresponding appearance optimization strategies can be to blacken the windows, widen the lace, optimize the boundaries of the contents, cover, etc. in the window area corresponding to the uncomfortable objects visible in the internal fixing image; if the contents blocked by the front and rear bumpers of the vehicle are visible in the front and rear of the vehicle in the external part image of the third evaluation result, the corresponding appearance optimization strategies can be to optimize the boundaries, move inwards or cover, etc. for the contents or the front and rear bumpers under the condition of meeting the approach angle and departure angle.

[0082] In this embodiment, data collected by sensors of the vehicle is obtained; the external seam area, the internal fixing area, and the external part area are determined according to the data collected by the sensors; visibility evaluation is performed on the external seam area, the internal fixing area, and the external part area according to a preset verification rule and the data collected by the sensors to obtain an evaluation result; an appearance optimization strategy is determined according to the evaluation result. By determining each area to be verified in the external seam area, the internal fixing area, and the external part area of the vehicle through data collected by sensors, and performing visibility evaluation on each area to be verified according to a preset verification rule and the data collected by sensors, an evaluation result is obtained, and an appearance optimization strategy is determined based on the evaluation result, so as to realize the evaluation of the vehicle appearance under a unified standard, complete the optimization of the vehicle appearance, improve the sensory quality and refinement of the vehicle, and improve the customer satisfaction and purchase desire.

[0083] Reference Figure 7 , Figure 7 is a schematic flowchart of the second embodiment of a vehicle appearance optimization method of the present invention.

[0084] Based on the above first embodiment, in the vehicle appearance optimization method of this embodiment, the step S20 includes:

[0085] Step S21: Determine the external seam area of the vehicle according to the seam acquisition data in the data collected by the sensors.

[0086] It should be noted that since there are multiple sensors and the corresponding areas of different sensors are different, it is necessary to obtain the seam acquisition data collected by the sensors at the preset seam positions on the sides of the vehicle. The external seam area refers to the area where there are gaps at the joints of the hoods on the left and right sides of the vehicle. Since the range of the seam acquisition data is large, it is necessary to determine the accurate external seam area based on the seam acquisition data.

[0087] It can be understood that in order to determine the accurate external seam area based on the seam acquisition data, further, determining the external seam area of the vehicle according to the seam acquisition data in the sensor acquisition data includes: determining the contour coordinates according to the seam acquisition data in the sensor acquisition data; performing calibration positioning according to the contour coordinates to determine the calibration positioning points; and determining the external seam area according to the calibration positioning points.

[0088] In a specific implementation, the seam acquisition data includes the coordinates of each acquisition point in the acquisition area. Therefore, based on the seam acquisition data, the cross-sectional contour line coordinates of the side seam of the vehicle are determined, and calibration positioning is performed according to the contour coordinates to determine the calibration positioning points that can obtain the external seam area. The area obtained by connecting each calibration positioning point is the external seam area.

[0089] It should be noted that in order to obtain accurate calibration positioning points based on the contour coordinates, further, performing calibration positioning according to the contour coordinates to determine the calibration positioning points includes: determining the target contour tangent points according to the contour coordinates; determining the midpoint of the connection line, the first straight line, and the second straight line according to the target contour tangent points; and determining the calibration positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line, and the second straight line.

[0090] It can be understood that the target contour tangent points refer to the tangent points on the outermost contour line of the cross-sectional contour line of the seam, the midpoint of the connection line refers to the midpoint between the target contour tangent points, the first straight line refers to a straight line that deviates outward by a certain distance from the connection line of the target contour tangent points, and the second straight line refers to a straight line that deviates inward by a certain distance from the connection line of the target contour tangent points. The calibration positioning points can be determined according to the target contour tangent points, the midpoint of the connection line, the first straight line, and the second straight line.

[0091] In a specific implementation, in order to obtain accurate calibration positioning points, further, determining the calibration positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line, and the second straight line includes: determining the third straight line according to the target contour tangent points and the midpoint of the connection line; determining the reference point according to the first straight line and the third straight line; determining the first tangent point and the second tangent point according to the reference point; and determining the calibration positioning points according to the first tangent point, the second tangent point, the first straight line, and the second straight line.

[0092] It should be noted that the third straight line refers to the straight line perpendicular to the connecting line of the target contour tangent points drawn through the midpoint of the connecting line. The reference point is the intersection point of the first straight line and the third straight line. Two tangent lines are drawn from the reference point to the outer contour line of the slit. The tangent points of the two tangent lines are the first tangent point and the second tangent point respectively. Two straight lines are drawn from the first tangent point and the second tangent point respectively at an angle of 15° with the two tangent lines. The two straight lines intersect the second straight line at the first intersection point and the second intersection point respectively. The first intersection point, the second intersection point, the first tangent point and the second tangent point are the calibration positioning points.

[0093] It can be understood that, as Figure 8 shown, for the Z-direction demarcation slit, the vehicle body is cut by a plane perpendicular to the Z direction. According to the contour coordinates, the cross-sectional contour line of the slit is obtained. The P1 and P2 tangent points (i.e., the target contour tangent points) on the outermost contour line are extracted, and the P1 and P2 points are connected to obtain the midpoint P0 of the line segment P1P2 (i.e., the midpoint of the connecting line). A straight line L1 perpendicular to the line segment P1P2 is drawn through the midpoint P0, and it intersects with the straight line L2 (i.e., the first straight line) obtained by offsetting the line segment P1P2 outward by 150 mm at the point V0 (i.e., the reference point). Tangent lines L3 and L4 are drawn from the point V0 to the outer contour line of the slit, and the tangent points are P3 (i.e., the first tangent point) and P4 (i.e., the second tangent point) respectively. Straight lines L5 and L6 are drawn from the P3 and P4 points respectively at an angle of 15° with the L3 and L4 straight lines. The two straight lines intersect the straight line obtained by offsetting the line segment P1P2 inward by 60 mm (i.e., the second straight line) at the P5 and P6 points (the left and right limit vertices). The L5 and L6 straight lines are extended in the reverse direction and intersect with L2, and the V1 and V2 points (the viewpoints of the left and right moving areas of the sensor) are obtained. The quadrilateral area surrounded by the P3, P4, P5, and P6 points is the outer slit area, as Figure 9 shown. For the X-direction demarcation slit, the vehicle body is cut by a plane perpendicular to the X direction; for the Y-direction demarcation slit, the vehicle body is cut by a plane perpendicular to the Y direction. The determination methods of the calibration positioning points and the outer slit area remain unchanged.

[0094] Step S22: Determine the internal fixed area of the vehicle according to the window acquisition data in the sensor acquisition data.

[0095] It should be noted that the sensor acquisition data at the position flush with the B-pillar of the vehicle and at a certain distance from the vehicle and the sensor acquisition data at the side window of the vehicle are obtained and used as the window acquisition data. The area corresponding to the window acquisition data is the internal fixed area.

[0096] Step S23: Determine the external part area of the vehicle according to the rear vehicle acquisition data in the sensor acquisition data.

[0097] It should be noted that the sensor acquisition data in front of and behind the vehicle and at a certain distance from the vehicle are obtained and used as the rear - end acquisition data. The area corresponding to the parking space acquisition data is the external part area.

[0098] In this embodiment, the external seam area of the vehicle is determined according to the seam acquisition data in the sensor acquisition data; the internal fixed area of the vehicle is determined according to the window acquisition data in the sensor acquisition data; and the external part area of the vehicle is determined according to the rear - end acquisition data in the sensor acquisition data. The sensor acquisition data is accurately classified, so as to accurately locate each area to be verified based on the sensor acquisition data, thereby further improving the accuracy in subsequent visibility evaluation.

[0099] In addition, referring to Figure 10 , an embodiment of the present invention also proposes a vehicle appearance optimization device, which includes:

[0100] An acquisition module 10, configured to acquire the sensor acquisition data of the vehicle;

[0101] A determination module 20, configured to determine an external seam area, an internal fixed area, and an external part area according to the sensor acquisition data;

[0102] An evaluation module 30, configured to perform visibility evaluation on the external seam area, the internal fixed area, and the external part area according to a preset verification rule and the sensor acquisition data to obtain an evaluation result;

[0103] The determination module 20 is further configured to determine an appearance optimization strategy according to the evaluation result.

[0104] In this embodiment, the sensor acquisition data of the vehicle is acquired; an external seam area, an internal fixed area, and an external part area are determined according to the sensor acquisition data; visibility evaluation is performed on the external seam area, the internal fixed area, and the external part area according to a preset verification rule and the sensor acquisition data to obtain an evaluation result; and an appearance optimization strategy is determined according to the evaluation result. Each area to be verified, such as the external seam area, the internal fixed area, and the external part area of the vehicle, is determined through the sensor acquisition data, and visibility evaluation is performed on each area to be inspected according to a preset verification rule and the sensor acquisition data, so as to obtain an evaluation result. Based on the evaluation result, an appearance optimization strategy is determined, thereby realizing the evaluation of the vehicle appearance under a unified standard and completing the optimization of the vehicle appearance, improving the sensory quality and delicacy of the vehicle, and enhancing the customer satisfaction and purchase desire.

[0105] In one embodiment, the determination module 20 is further configured to determine the external seam area of the vehicle according to the seam acquisition data in the sensor acquisition data;

[0106] Determine the internal fixed area of the vehicle according to the window acquisition data in the data acquired by the sensor;

[0107] Determine the external part area of the vehicle according to the rear of the vehicle acquisition data in the data acquired by the sensor.

[0108] In one embodiment, the determining module 20 is further configured to determine contour coordinates according to the seam acquisition data in the data acquired by the sensor;

[0109] Perform verification positioning according to the contour coordinates to determine the verification positioning points;

[0110] Determine the external seam area according to the verification positioning points.

[0111] In one embodiment, the determining module 20 is further configured to determine the target contour tangent points according to the contour coordinates;

[0112] Determine the midpoint of the connection line, the first straight line and the second straight line according to the target contour tangent points;

[0113] Determine the verification positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line and the second straight line.

[0114] In one embodiment, the determining module 20 is further configured to determine a third straight line according to the target contour tangent points and the midpoint of the connection line;

[0115] Determine the reference points according to the first straight line and the third straight line;

[0116] Determine the first tangent point and the second tangent point according to the reference points;

[0117] Determine the verification positioning points according to the first tangent point, the second tangent point, the first straight line and the second straight line.

[0118] In one embodiment, the evaluation module 30 is further configured to determine an external seam image according to the data acquired by the sensor and the external seam area;

[0119] Determine an internal fixed image according to the data acquired by the sensor and the internal fixed area;

[0120] Determine an external part image according to the data acquired by the sensor and the external part area;

[0121] Perform visibility evaluation on the external seam image, the internal fixed image and the external part image according to the preset verification rules to obtain an evaluation result.

[0122] In one embodiment, the evaluation module 30 is further configured to compare the external joint image with the joint checking rule in the preset checking rule to obtain a first evaluation result;

[0123] Compare the internal fixing image with the internal part checking rule in the preset checking rule to obtain a second evaluation result;

[0124] Compare the external part image with the external part checking rule in the preset checking rule to obtain a third evaluation result;

[0125] Obtain an evaluation result according to the first evaluation result, the second evaluation result, and the third evaluation result.

[0126] Since this device adopts all the technical solutions of the above-mentioned all embodiments, it has at least all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be elaborated herein one by one.

[0127] In addition, an embodiment of the present invention further provides a storage medium, on which a vehicle appearance optimization program is stored. When the vehicle appearance optimization program is executed by a processor, the steps of the vehicle appearance optimization method as described above are implemented.

[0128] Since this storage medium adopts all the technical solutions of the above-mentioned all embodiments, it has at least all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be elaborated herein one by one.

[0129] It should be noted that the above-described work process is only illustrative and does not limit the protection scope of the present invention. In actual applications, those skilled in the art can select some or all of them according to actual needs to achieve the purpose of the solution of this embodiment, and no limitation is made here.

[0130] In addition, for the technical details not described in detail in this embodiment, reference can be made to the vehicle appearance optimization method provided in any embodiment of the present invention, which will not be elaborated herein.

[0131] In addition, it should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of another identical element in the process, method, article or system including that element.

[0132] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0133] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as a read-only memory (ROM) / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0134] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A vehicle appearance optimization method, characterized in that, The vehicle appearance optimization method includes: Obtaining the sensor acquisition data of the vehicle; Determining the external seam area, internal fixed area, and external part area according to the sensor acquisition data; Performing visibility evaluation on the external seam area, internal fixed area, and external part area according to the preset verification rules and the sensor acquisition data to obtain an evaluation result; Determining an appearance optimization strategy according to the evaluation result; Among them, determining the external seam area, internal fixed area, and external part area according to the sensor acquisition data includes: Determining the external seam area of the vehicle according to the seam acquisition data in the sensor acquisition data; Determining the internal fixed area of the vehicle according to the window acquisition data in the sensor acquisition data; Determining the external part area of the vehicle according to the rear-end acquisition data in the sensor acquisition data; Among them, determining the external seam area of the vehicle according to the seam acquisition data in the sensor acquisition data includes: Determining the contour coordinates according to the seam acquisition data in the sensor acquisition data; Performing verification positioning according to the contour coordinates to determine verification positioning points; Determining the external seam area according to the verification positioning points; Among them, performing verification positioning according to the contour coordinates to determine verification positioning points includes: Determining the target contour tangent points according to the contour coordinates; Determining the midpoint of the connection line, the first straight line, and the second straight line according to the target contour tangent points; Determining the verification positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line, and the second straight line; Among them, determining the verification positioning points according to the target contour tangent points, the midpoint of the connection line, the first straight line, and the second straight line includes: Determining the third straight line according to the target contour tangent points and the midpoint of the connection line; Determining the reference points according to the first straight line and the third straight line; Determining the first tangent point and the second tangent point according to the reference points; Determining the verification positioning points according to the first tangent point, the second tangent point, the first straight line, and the second straight line.

2. The vehicle exterior optimization method according to claim 1, characterized in that Performing visibility evaluation on the external seam area, internal fixed area, and external part area according to the preset verification rules and the sensor acquisition data to obtain an evaluation result includes: Determining the external seam image according to the sensor acquisition data and the external seam area; Determining the internal fixed image according to the sensor acquisition data and the internal fixed area; Determining the external part image according to the sensor acquisition data and the external part area; Performing visibility evaluation on the external seam image, internal fixed image, and external part image according to the preset verification rules to obtain an evaluation result.

3. The vehicle appearance optimization method according to claim 2, wherein, Performing visibility evaluation on the external seam image, internal fixed image, and external part image according to the preset verification rules to obtain an evaluation result includes: Comparing the external seam image with the seam verification rules in the preset verification rules to obtain a first evaluation result; Comparing the internal fixed image with the internal part verification rules in the preset verification rules to obtain a second evaluation result; Compare with the external part image according to the external part verification rule in the preset verification rule to obtain a third evaluation result; Obtain an evaluation result according to the first evaluation result, the second evaluation result and the third evaluation result.

4. A vehicle exterior optimization device, characterized in that, The vehicle appearance optimization device includes: An acquisition module, configured to acquire the sensor acquisition data of the vehicle; A determination module, configured to determine an external seam region, an internal fixing region, and an external part region according to the sensor acquisition data; An evaluation module, configured to perform visibility evaluation on the external seam region, the internal fixing region, and the external part region according to a preset verification rule and the sensor acquisition data to obtain an evaluation result; The determination module is further configured to determine an appearance optimization strategy according to the evaluation result; The determination module is further configured to determine the external seam region of the vehicle according to the seam acquisition data in the sensor acquisition data; determine the internal fixing region of the vehicle according to the window acquisition data in the sensor acquisition data; determine the external part region of the vehicle according to the rear end acquisition data in the sensor acquisition data; The determination module is further configured to determine contour coordinates according to the seam acquisition data in the sensor acquisition data; perform verification positioning according to the contour coordinates to determine a verification positioning point; determine the external seam region according to the verification positioning point; The determination module is further configured to determine a target contour tangent point according to the contour coordinates; determine a connection midpoint, a first straight line, and a second straight line according to the target contour tangent point; determine a verification positioning point according to the target contour tangent point, the connection midpoint, the first straight line, and the second straight line; The determination module is further configured to determine a third straight line according to the target contour tangent point and the connection midpoint; determine a reference point according to the first straight line and the third straight line; determine a first tangent point and a second tangent point according to the reference point; determine a verification positioning point according to the first tangent point, the second tangent point, the first straight line, and the second straight line.

5. A vehicle exterior optimization device, characterized in that, The device includes: a memory, a processor, and a vehicle appearance optimization program stored on the memory and executable on the processor, and the vehicle appearance optimization program is configured to implement the vehicle appearance optimization method according to any one of claims 1 to 3.

6. A storage medium, characterized in that, The vehicle appearance optimization program is stored on the storage medium, and when the vehicle appearance optimization program is executed by the processor, it implements the vehicle appearance optimization method according to any one of claims 1 to 3.

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