Vehicle A column visual field evaluation method and device and storage medium

Abstract

The invention relates to a vehicle A column visual field evaluation method and device and a storage medium. The method comprises the steps that the visual field range of observation eye spots in a vehicle is determined; obtaining a visual proportion of a target object in the driving scene in a visual field range of an observation eye point, and a corresponding weight parameter; according to the visualization proportion and the weight parameters, evaluating the A column view of the vehicle; according to the invention, the evaluation result is more objective and accurate.

Description

Technical Field

[0001] The present application relates to the field of vehicle A-pillar vision, and in particular to a vehicle A-pillar vision evaluation method, device and storage medium. Background Art

[0002] In vehicle design, the driver's field of vision is crucial to driving safety. The A-pillar obstruction angle refers to the angle of obstruction caused by the A-pillars (pillars supporting the front windshield and the roof) on both sides of the car's front windshield to the driver's field of vision. When the driver looks out from inside the car, the A-pillar will form a certain blind spot, and the angle of this blind spot is the A-pillar obstruction angle. The A-pillar obstruction angle is an important indicator to measure the clarity of the driver's forward field of vision in car design. An excessively large A-pillar obstruction angle will result in a larger blind spot, which may affect the driver's judgment of the surrounding environment, especially when turning or changing lanes. Therefore, when designing, it is necessary to balance the structural strength of the A-pillar (to ensure collision safety) and reduce the impact on the driver's field of vision, ensuring compliance with relevant regulatory requirements while providing a good driving field of vision. However, most of the A-pillar field of vision evaluation methods provided by related technologies are relatively subjective and not accurate enough.

[0003] At present, no effective solution has been proposed to address the problem that the A-pillar field of view assessment method in related technologies is not objective and accurate enough. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device and storage medium that can more accurately evaluate the vehicle A-pillar field of view in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for evaluating a vehicle A-pillar field of view, the method comprising:

[0006] Determine the field of view of the observation eye point in the vehicle;

[0007] Obtaining the visualization ratio of the target object in the driving scene within the field of view of the observation eye point and the corresponding weight parameter;

[0008] The A-pillar field of view of the vehicle is evaluated according to the visualization ratio and the weight parameter.

[0009] In one embodiment, evaluating the A-pillar field of view of the vehicle according to the visualization ratio and the weight parameter includes:

[0010] The visualization proportions and corresponding weight parameters in various driving scenarios are weighted and summed, and the A-pillar field of view performance of the vehicle is determined according to the obtained values.

[0011] In one embodiment, obtaining the visualization ratio of the target object in the driving scene within the field of view of the observation eye point includes:

[0012] Obtaining the visible geometric quantity of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles;

[0013] The visualization ratio of the target object is determined according to the ratio of the visible geometric quantity to the original geometric quantity of the target object.

[0014] In one of the embodiments, obtaining the visible geometry of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles; and determining the visualization ratio of the target object according to the ratio of the visible geometry to the original geometry of the target object includes:

[0015] Determine a first obstacle that forms an obstruction within the field of view of the observation eye point;

[0016] Projecting the target object and the first obstacle onto a simulated sphere centered at the observation eye point;

[0017] Determine the original projection area of ​​the target object, and remove the projection area overlapping with the first obstacle from the projection area of ​​the target object to obtain a visible area;

[0018] The visible area ratio of the target object is determined according to the ratio of the visible area to the original projection area.

[0019] In one of the embodiments, obtaining the visible geometry of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles; and determining the visualization ratio of the target object according to the ratio of the visible geometry to the original geometry of the target object includes:

[0020] Determining a visual area contour line within the visual field of the observation eye point;

[0021] A virtual sight line is diverged from the observation eye point to all sides, and a sight divergence surface is constructed based on the intersection of the virtual sight line and the visual area contour line;

[0022] Cutting the target object based on the field of view divergence surface, and determining the visible volume of the target object according to the cut portion of the target object;

[0023] The visible volume ratio of the target object is determined according to the ratio of the visible volume to the original volume of the target object.

[0024] In one embodiment, determining a visual area contour line within the visual field of the observation eye point includes:

[0025] Determining the outer contour of the second obstacle that forms the occlusion within the visual field of the observation eye point;

[0026] Determine a tangent plane tangent to the outer contour of the second obstacle, and intersect the tangent plane with a plane where the glass on both sides of the A-pillar of the vehicle are located to obtain an intersection line;

[0027] The visible area contour line is obtained according to the intersection line.

[0028] In one embodiment, the glass on both sides of the A-pillar includes a front windshield, and the visible area contour line includes a front windshield visible area contour line; and / or, the glass on both sides of the A-pillar includes a front door window glass, and the visible area contour line includes a front door visible area contour line.

[0029] In one embodiment, the obstacle includes at least one of the following: A-pillar interior panel, A-pillar sheet metal, A-pillar exterior trim, sun visor, ceiling, solid edge of front windshield, front hood, headlights, fenders, wipers, steering wheel, instrument panel, exterior rearview mirrors and their accessory parts, ceiling, door water cut, door sheet metal, door triangle window trim, door sealing strip, and body sheet metal.

[0030] In one embodiment, the driving scenario includes at least one of the following:

[0031] Crossroads scenes, roundabout merging scenes, mountain road scenes, traffic control scenes, and rural road scenes.

[0032] In one embodiment, obtaining a weight parameter of a target object relative to a vehicle in a driving scene includes:

[0033] The weight parameter is determined according to the distance of the target object relative to the vehicle and / or based on the risk factor of an accident that may be caused by the driving scenario.

[0034] In one embodiment, the method further comprises:

[0035] Back-projecting the visible outline of the target object onto a first portion of the vehicle to obtain a projection area; wherein the first portion is an obstacle that is blocked within the field of view of the observation eye point;

[0036] Determine a field of view sensitive area according to a weight parameter of the target object and an area of ​​the projection area;

[0037] A second area to be optimized is determined in a first area of ​​the vehicle based on the field of view sensitivity.

[0038] In a second aspect, the present application also provides a vehicle A-pillar field of view assessment device, comprising:

[0039] A determination module, used to determine the field of view of an observation eye point in a vehicle;

[0040] An acquisition module, used to obtain the visualization ratio of the target object in the driving scene within the field of view of the observation eye point, and the corresponding weight parameter;

[0041] An evaluation module is used to evaluate the A-pillar field of view of the vehicle according to the visualization proportion and the weight parameter.

[0042] In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of evaluating the vehicle A-pillar field of view described in the first aspect are implemented.

[0043] The above-mentioned vehicle A-pillar field of view evaluation method, device and storage medium obtain the visualization ratio of the target object in the field of view of the observation eye point in the driving scene, and the corresponding weight parameter, and characterize the importance of the target object to the A-pillar field of view evaluation in a certain driving scene based on the weight parameter. Finally, the vehicle's A-pillar field of view is evaluated based on the visualization ratio and the weight parameter, so that the evaluation result is more objective and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A diagram showing an application environment of a vehicle A-pillar field of view evaluation method in one embodiment;

[0045] Figure 2 A schematic diagram of a flow chart of a method for evaluating a vehicle A-pillar field of view in an embodiment;

[0046] Figure 3 is a schematic diagram of observing eye points in one embodiment;

[0047] Figure 4 A schematic diagram of an eye point visual field range for observation in one embodiment;

[0048] Figure 5 is a schematic diagram of a driving scene 1 in an embodiment;

[0049] Figure 6 is a schematic diagram of driving scenario 2 in an embodiment;

[0050] Figure 7 is a schematic diagram of driving scenario three in an embodiment;

[0051] Figure 8 is a schematic diagram of driving scenario 4 in an embodiment;

[0052] Fig. 9 is a schematic diagram of driving scenario 5 in an embodiment;

[0053] Fig.10 is a schematic diagram of driving scenario 6 in an embodiment;

[0054] Fig.11is a schematic diagram of driving scenario seven in an embodiment;

[0055] Fig.12 is a schematic diagram of the outline of the visible area of ​​the front windshield in one embodiment;

[0056] Fig.13 is a schematic diagram of the outline of the visible area of ​​the front door in one embodiment;

[0057] Fig.14 This is a schematic diagram of the field of view of the observation eye point based on driving scenario one;

[0058] Fig.15 is a schematic diagram of a model of a target object based on driving scenario 1;

[0059] Fig.16 This is a schematic diagram of the visible volume of the target object based on driving scenario 1;

[0060] Fig.17 is a schematic diagram of the back projection of the visible outline of a target object in one embodiment;

[0061] Fig.18 is a structural block diagram of a vehicle A-pillar field of view evaluation device in one embodiment;

[0062] Fig.19 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0064] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the", "these" and the like in this application do not represent quantitative restrictions, and they can be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether directly or indirectly. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. Usually, the character " / " indicates that the objects associated with each other are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0065] The vehicle A-pillar field of view evaluation method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system 106 can store the data that the server 104 needs to process. The data storage system 106 can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the terminal 102 can be but is not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0066] In one embodiment, Figure 2 As shown, a method for evaluating the field of view of a vehicle A-pillar is provided, and the method is applied to Figure 1 The terminal 102 in the example is used as an example to illustrate, and the following steps are included:

[0067] Step S101, determining the field of view of the observation eye point in the vehicle.

[0068] In this embodiment, CATIA software can be used for modeling to simulate the external road environment of the driver while driving on the road, and the driver's subjective driving experience can be converted into a road CAD scene for field of view verification, thereby determining the field of view range of the observation eye point. Figure 3 A schematic diagram of the observation eye point is provided, such as Figure 3 As shown, according to the SAE standard, the center point Q of the dummy eye ellipse can be used as the observation eye point. Taking the driver's seat back angle of 25 degrees as an example, the observation eye point is 638mm above the driver's center point R and 18.965mm in front. Figure 4 A schematic diagram of the field of view of the observation eye point is provided, such as Figure 4 As shown, the field of view of the observation eye point includes: the area outside the vehicle passing through the driver's center point R and parallel to the center plane of the vehicle, and the Y-plane passing through the center point Q of the eye ellipse and perpendicular to the center plane of the vehicle and located on the forward side of the vehicle.

[0069] Step S102, obtaining the visualization ratio of the target object in the driving scene within the field of view of the observation eye point and the corresponding weight parameter.

[0070] The visible geometry of the target object within the field of view of the observation eye point minus the part blocked by obstacles can be obtained; the visualization ratio of the target object can be determined according to the ratio of the visible geometry to the original geometry of the target object. The visible geometry can be a visible area or a visible volume, which is not limited in this embodiment. The obstacles include at least one of the following: A-pillar interior panels, A-pillar sheet metal, A-pillar exterior trim, sun visors, ceilings, front windshield solid edges, front hood covers, headlights, fenders, wipers, steering wheels, instrument panels, exterior rearview mirrors and their accessory parts, ceilings, door water cuts, door sheet metal, door triangle window trim, door sealing strips, and body sheet metal.

[0071] The weight parameter is used to characterize the importance of the target object to the A-pillar field of view assessment in a certain driving scenario. Different driving scenarios have different weight parameters. In some embodiments, the weight parameter can be determined based on the distance of the target object relative to the vehicle and the risk factor of an accident that may be caused based on the driving scenario. For example, the closer the target object is to the vehicle, the larger the weight parameter. Alternatively, the higher the risk factor of an accident that may be caused by the corresponding driving scenario, the larger the weight parameter. Alternatively, the closer the target object is to the vehicle and the higher the risk factor of an accident that may be caused by the corresponding driving scenario, the larger the weight parameter.

[0072] Step S103, evaluating the A-pillar field of view of the vehicle according to the visualization ratio and the weight parameter.

[0073] A-pillar field of view score = visualization ratio × weight parameter. Multiply the visualization ratio and the corresponding weight parameter to get the A-pillar field of view score. The higher the score, the better the A-pillar field of view performance. In some embodiments, the visualization ratio and the corresponding weight parameter in various driving scenarios can be weighted and summed, and the vehicle's A-pillar field of view performance can be determined based on the obtained value. In this way, the A-pillar field of view score of the vehicle in multiple scenarios can be integrated to make the evaluation more comprehensive and reliable.

[0074] Exemplarily, the driving scene includes at least one of the following: a crossroad scene, a roundabout scene, a mountain road scene, a traffic control scene, and a rural road scene. Figures 5 to 11 , respectively provide a variety of driving scene diagrams. Among them, Figure 5 Driving scenario 1: an adult takes a child across the road at a zebra crossing at an intersection; Figure 6 Driving scenario 2: a car and a bicycle passing through the intersection ahead; Figure 7 Driving scenario three: entering a roundabout and merging with other vehicles in the roundabout; Figure 8 Driving scenario 4: the scene of meeting a car in the opposite lane when turning on a mountain road; Fig. 9 Driving scenario five: traffic controller directing traffic scenario; Fig.10 Driving scenario six: pedestrians and bicycles driving in the opposite direction on the side of a country road; Fig.11 This is driving scene seven: a bicycle driving fast in the distance. In these driving scenes, the target object can be a person, a motor vehicle or a non-motor vehicle, and different driving scenes have different weight parameters.

[0075] In the above steps S101 to S103, by obtaining the visualization ratio of the target object in the field of view of the observation eye point in the driving scene and the corresponding weight parameter, the importance of the target object to the A-pillar field of view evaluation in a certain driving scene is characterized based on the weight parameter, and finally the A-pillar field of view of the vehicle is evaluated according to the visualization ratio and the weight parameter, so that the evaluation result is more objective and accurate.

[0076] The following example will introduce a method for calculating the visualization ratio.

[0077] In one embodiment, the visible geometry of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles is obtained; and the visualization ratio of the target object is determined according to the ratio of the visible geometry to the original geometry of the target object, which can be achieved by the following method:

[0078] Determine the first obstacle that forms an occlusion within the field of view of the observation eye point; project the target object and the first obstacle onto a simulated sphere centered on the observation eye point; determine the original projection area of ​​the target object, and remove the projection area overlapping with the first obstacle from the projection area of ​​the target object to obtain the visible area; determine the visible area ratio of the target object according to the ratio of the visible area to the original projection area.

[0079] In this embodiment, the visible geometry is the visible area, and the visualization ratio = visible area ÷ original projection area of ​​the target object. Specifically, the road CAD scene containing the target object is projected onto a sphere centered on the observation eye point, and the first obstacle that affects the driver's front field of vision is projected onto the sphere, wherein the first obstacle includes but is not limited to the A-pillar interior panel, the A-pillar sheet metal, the A-pillar exterior trim, the front windshield solid edge, the door triangular window trim, the exterior rearview mirror and its attached parts and the door sealing strip. After simulating the imaging results of the road CAD scene and the first obstacle in the driver's eyes, the part overlapping with the projection area of ​​the first obstacle is removed from the projection area of ​​the target object to obtain the visible area of ​​the target object, and the visible area ratio of the target object is obtained according to the ratio between the visible area of ​​the target object and its original projection area.

[0080] There is a problem with the above-mentioned method of calculating visible geometry through area projection. Considering that the target object has different postures, the projection area obtained for different postures of the target object at the same position is different. It can be understood that when the target object is a car, the projection area of ​​the car projected onto the sphere is different from that of the car projected vertically in front of the car, and the projection area of ​​the blocked part is different, which will lead to different visual area ratios calculated in the end. Therefore, the accuracy of evaluating the A-pillar field of view by calculating the visible area ratio of the target object is low. Therefore, another method for calculating visible geometry is provided below to solve this problem.

[0081] In one embodiment, the visible geometry of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles is obtained; and the visualization ratio of the target object is determined according to the ratio of the visible geometry to the original geometry of the target object, which can be achieved by the following method:

[0082] Determine the contour line of the visible area within the field of view of the observation eye point; radiate a virtual line of sight from the observation eye point to all sides, and construct a field of view divergence surface based on the intersection of the virtual line of sight and the contour line of the visible area; cut the target object based on the field of view divergence surface, and determine the visible volume of the target object based on the part of the target object cut; determine the visible volume proportion of the target object based on the ratio of the visible volume to the original volume of the target object.

[0083] In this embodiment, the visible geometry is the visible volume, and the visible volume ratio = visible volume ÷ original volume of the target. The volume of the target is not affected by the position of the target. The volume calculated for different positions of the target at the same position is unique, and there will be no problem of different visible volume ratios for different positions. Therefore, the A-pillar field of view can be evaluated by calculating the visible volume ratio of the target, which is more accurate.

[0084] Specifically, in the process of determining the contour line of the visible area within the field of view of the observation eye point, the outer contour line of the second obstacle that forms the occlusion can be determined within the field of view of the observation eye point; a tangent plane tangent to the outer contour line of the second obstacle is determined, and the tangent plane is intersected with the plane where the glass on both sides of the A-pillar in the vehicle is located to obtain an intersection line; and the contour line of the visible area is obtained according to the intersection line. Among them, the glass on both sides of the A-pillar can be the front windshield glass and / or the front door window glass, and the corresponding contour line of the visible area includes the front windshield visible area contour line and / or the front door visible area contour line. The calculation method of the front windshield visible area contour line and the front door visible area contour line will be further introduced below.

[0085] (1) Contour of the front windshield visible area: Fig.12 This is a schematic diagram of the front windshield visible area outline. Fig.12 The second obstacle includes but is not limited to the A-pillar interior panel, A-pillar sheet metal, A-pillar exterior trim, sun visor, roof, front windshield solid edge (black edge), front hood, headlights, fenders, wipers (folded state), steering wheel (design state), instrument panel and all other parts that may affect the driver's field of vision. If a part has multiple adjustable positions, the position designed by the OEM shall prevail. With the observation eye point as the perspective point, make the outer contour tangent surface of the above-mentioned second obstacle, retain and connect all the intersection lines of the outer contour tangent surfaces and the outer surface of the front windshield, and obtain the contour line of the visible area of ​​the front windshield after smoothing.

[0086] (2) Front door visual area outline: Fig.13 The figure below is a schematic diagram of the front door visual area outline. Fig.13 The second obstacle includes but is not limited to the exterior rearview mirror and its attached parts, the roof, the door water cut, the door sheet metal, the door triangular window trim, the door seal, the A-pillar sheet metal, the body sheet metal and all other parts that may affect the driver's field of vision. If the parts are adjustable, adjust the parts to the position designed by the OEM. Take the observation eye point as the perspective point, make the outer contour tangent surface of the above-mentioned second obstacle, retain and connect all the outer contour tangent surfaces and the intersection lines of the front windshield outer surface, and obtain the contour line of the visible area of ​​the front door after smoothing.

[0087] Finally, the rays starting from the observation eye point are connected with the contour lines of the visible area of ​​the front windshield and the visible area of ​​the front door to form a field of view divergence surface, which is used to cut the target within the field of view to determine the visible volume of the target. The visible volume ratio of the target is determined based on the ratio of the visible volume to the original volume of the target. Among them, using the field of view divergence surface to cut the target within the field of view can be understood as intersecting a hollow cone with a solid geometric body, and treating the solid geometric body part remaining inside the hollow cone as the visible volume part.

[0088] In one embodiment, any of the above-mentioned vehicle A-pillar field of view evaluation methods is used to evaluate and compare multiple vehicles. Taking vehicle A and vehicle B as an example, when comparing the A-pillar field of view performance, multiple vehicles are arranged in the same scene, and the comparison benchmark is as follows:

[0089] When benchmarking the A-pillar vision, each vehicle is loaded with one person (driver load); the one-person ground of vehicle A is overlapped with the one-person ground of vehicle B, and the center plane of vehicle A is overlapped with the center plane of vehicle B; the coordinates of the frontmost point of vehicle A and the frontmost point of vehicle B in the direction of vehicle travel are kept consistent; the position of the target object is based on the driving scene definition. Under the above benchmarks, the A-pillar vision scores of the compared vehicles are calculated in the same way, which can effectively and objectively determine the pros and cons of the A-pillar vision performance of each vehicle.

[0090] In one embodiment, reference Fig.14 , Fig.14 This is a schematic diagram of the field of view of the observation eye point based on driving scenario one. Taking driving scenario one as an example, the A-pillar field of view evaluation of vehicle A is introduced. Fig.15 This is a schematic diagram of the model of the target object based on driving scenario 1. Fig.16 This is a schematic diagram of the visible volume of the target object based on driving scenario 1. The ground of the vehicle in the design driving scenario is a one-person load line ground line, reference Fig.15 , a cylinder with a diameter of 300mm and a height of 1750mm is used to simulate an adult, and a cylinder with a diameter of 300mm and a height of 1000mm is used to simulate a child. In the design vehicle A, only the upper part of the adult model is visible, and the child model is not visible. Fig.16 , the volume of the overall target object in driving scene 1 is: 0.123+0.071=0.194m 3 , the visible volume of the target is 0.082m 3 , the visible volume ratio is 0.082 / 0.194=43%. Considering the seriousness of the accident in driving scenario 1 and the high frequency of the scenario, its weight coefficient is determined to be 2, and finally the A-pillar field of view score of vehicle A in driving scenario 1 is 0.43×2=0.86. Based on the principle similar to driving scenario 1, the A-pillar field of view scores of vehicle A in other driving scenarios are calculated, as shown in Table 1.

[0091] Table 1 Statistics of vehicle A-pillar field of view based on multiple scenarios

[0092]

[0093] In this embodiment, the A-pillar field of view score of the vehicle is calculated in multiple driving scenarios, and the final score of the vehicle is obtained based on the A-pillar field of view scores of multiple scenarios. The A-pillar field of view performance of the vehicle is determined based on the final score, which is closely related to the user's actual driving scenario, so that the A-pillar field of view evaluation result of the vehicle is more comprehensive.

[0094] In some of the embodiments, driving scenarios reported by users can be collected to identify specific inconveniences or accident scenarios caused by A-pillar occlusion during the use of the vehicle, and these driving scenarios can be simulated in the CATIA CAD environment. According to the severity of the inconvenience or accident caused to the user in the driving scenario, the targets are divided into different levels: High ratio score: targets that are close to the vehicle and are likely to cause serious consequences, such as short people near the A-pillar. Low ratio score: targets that are far away from the vehicle and have lower risks, such as incoming vehicles at a distance from a roundabout. In this way, it can be closely linked to the user's actual driving scenario, with rich scenarios that are easy to update and correct, and the driving scenario can be updated and tracked in a timely manner based on user feedback.

[0095] In one embodiment, the visible outline of the target object can be back-projected onto a first part of the vehicle to obtain a projection area; wherein the first part is an obstacle that forms an occlusion within the field of view of the observation eye point; the field of view sensitive area is determined based on the weight parameters of the target object and the area of ​​the projection area; based on the field of view sensitive area, the second part to be optimized is determined in the first part of the vehicle.

[0096] In the vehicle design process, this embodiment back-projects the visible outline of the target object onto the vehicle body, and evaluates which areas are visual field sensitive areas based on the weight of the target object and the amount of overlapping areas. Fig.17 is a schematic diagram of the back projection of the visible outline of the target object in this embodiment, as shown in Fig.17 As shown, an example of the visible contour back projection is as follows:

[0097] There are many overlapping target projection areas (dark red areas), with a high proportion, and the field of view performance is significantly improved after optimization. There are medium overlapping target projection areas (red areas), with a medium proportion, and the field of view performance is improved after optimization. There are few overlapping target projection areas (orange areas), with a low proportion, and the field of view performance is not significantly improved after optimization. There is no target projection (green areas), and the optimization has no effect on the field of view performance. In this way, the vehicle body design can be guided based on the back projection of the visible contour, and the performance of the vehicle A-pillar field of view can be improved in a more targeted manner.

[0098] In this embodiment, a vehicle A-pillar field of view evaluation device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made are not repeated here. The terms "module", "unit", "subunit", etc. used below can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0099] Fig.18 : is a structural block diagram of the vehicle A-pillar field of view evaluation device of this embodiment, such as Fig.18 As shown, the device comprises:

[0100] A determination module, used to determine the field of view of an observation eye point in a vehicle;

[0101] An acquisition module is used to obtain the visual proportion of the target object in the driving scene within the field of view of the observation eye point, as well as the corresponding weight parameters;

[0102] The evaluation module is used to evaluate the A-pillar field of view of the vehicle according to the visualization ratio and weight parameters.

[0103] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0104] In addition, in combination with the vehicle A-pillar field of view evaluation method provided in the above embodiments, a storage medium can also be provided in this embodiment to implement the method. The storage medium stores a computer program; when the computer program is executed by a processor, any vehicle A-pillar field of view evaluation method in the above embodiments is implemented.

[0105] In one embodiment, the computer program implements the following steps when executed by a processor:

[0106] Determine the field of view of the observation eye point in the vehicle;

[0107] Obtain the visual proportion of the target object in the driving scene within the field of view of the observation eye point, as well as the corresponding weight parameters;

[0108] Evaluate the vehicle's A-pillar field of view based on the visualization ratio and weight parameters.

[0109] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig.19As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a vehicle A-pillar field of view evaluation method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0110] Those skilled in the art will understand that Fig.19 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0111] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0112] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0113] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A vehicle A-pillar field of view evaluation method, characterized in that: include: Determine the field of view of the observation eye point in the vehicle; Obtaining the visualization ratio of the target object in the driving scene within the field of view of the observation eye point and the corresponding weight parameter; The A-pillar field of view of the vehicle is evaluated according to the visualization ratio and the weight parameter.

2. The vehicle A-pillar field of view evaluation method according to claim 1, characterized in that: According to the visualization proportion and the weight parameter, evaluating the A-pillar field of view of the vehicle includes: The visualization proportions and corresponding weight parameters in various driving scenarios are weighted and summed, and the A-pillar field of view performance of the vehicle is determined according to the obtained values.

3. The vehicle A-pillar field of view evaluation method according to claim 1, characterized in that: Obtaining the visual proportion of the target object in the driving scene within the field of view of the observation eye point, including: Obtaining the visible geometric quantity of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles; The visualization ratio of the target object is determined according to the ratio of the visible geometric quantity to the original geometric quantity of the target object.

4. The vehicle A-pillar field of view evaluation method according to claim 3, characterized in that: Obtaining the visible geometry of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles; Determining the visualization ratio of the target object according to the ratio of the visible geometric quantity to the original geometric quantity of the target object includes: Determine a first obstacle that forms an obstruction within the field of view of the observation eye point; Projecting the target object and the first obstacle onto a simulated sphere centered at the observation eye point; Determine the original projection area of ​​the target object, and remove the projection area overlapping with the first obstacle from the projection area of ​​the target object to obtain a visible area; The visible area ratio of the target object is determined according to the ratio of the visible area to the original projection area.

5. The vehicle A-pillar field of view evaluation method according to claim 3, characterized in that: Obtaining the visible geometry of the target object within the field of view of the observation eye point excluding the portion blocked by obstacles; Determining the visualization ratio of the target object according to the ratio of the visible geometric quantity to the original geometric quantity of the target object includes: Determining a visual area contour line within the visual field of the observation eye point; A virtual sight line is diverged from the observation eye point to all sides, and a sight divergence surface is constructed based on the intersection of the virtual sight line and the visual area contour line; Cutting the target object based on the field of view divergence surface, and determining the visible volume of the target object according to the cut portion of the target object; The visible volume ratio of the target object is determined according to the ratio of the visible volume to the original volume of the target object.

6. The vehicle A-pillar field of view evaluation method according to claim 5, characterized in that: Determining a visual area contour line within the visual field of the observation eye point includes: Determining the outer contour of the second obstacle that forms the occlusion within the field of view of the observation eye point; Determine a tangent plane tangent to the outer contour of the second obstacle, and intersect the tangent plane with a plane where the glass on both sides of the A-pillar of the vehicle are located to obtain an intersection line; The visible area contour line is obtained according to the intersection line.

7. The vehicle A-pillar field of view evaluation method according to claim 6, characterized in that: The glass on both sides of the A-pillar includes a front windshield, and the visible area contour line includes a front windshield visible area contour line; and / or, the glass on both sides of the A-pillar includes a front door window glass, and the visible area contour line includes a front door visible area contour line.

8. The vehicle A-pillar field of view evaluation method according to claim 3, characterized in that: The obstacles include at least one of the following: A-pillar interior panel, A-pillar sheet metal, A-pillar exterior trim, sun visor, ceiling, solid edge of front windshield, front hood, headlights, fenders, wipers, steering wheel, instrument panel, exterior rearview mirrors and their accessory parts, ceiling, door water cut, door sheet metal, door triangle window trim, door sealing strip, and body sheet metal.

9. The vehicle A-pillar field of view evaluation method according to claim 1, characterized in that: The driving scenario includes at least one of the following: Crossroads scenes, roundabout merging scenes, mountain road scenes, traffic control scenes, and rural road scenes.

10. The vehicle A-pillar field of view evaluation method according to claim 1, characterized in that: Obtain the weight parameters of the target object relative to the vehicle in the driving scene, including: The weight parameter is determined according to the distance of the target object relative to the vehicle and / or based on the risk factor of an accident that may be caused by the driving scenario.

11. The vehicle A-pillar field of view evaluation method according to claim 1, characterized in that: The method further comprises: Back-projecting the visible outline of the target object onto a first portion of the vehicle to obtain a projection area; wherein the first portion is an obstacle that is blocked within the field of view of the observation eye point; Determine a field of view sensitive area according to a weight parameter of the target object and an area of ​​the projection area; A second area to be optimized is determined in a first area of ​​the vehicle based on the field of view sensitivity.

12. A vehicle A-pillar field of view evaluation device, characterized in that: include: A determination module, used to determine the field of view of an observation eye point in a vehicle; An acquisition module, used to obtain the visualization ratio of the target object in the driving scene within the field of view of the observation eye point, and the corresponding weight parameter; An evaluation module is used to evaluate the A-pillar field of view of the vehicle according to the visualization proportion and the weight parameter.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented.

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