Vehicle comfort evaluation method and device, computer device and storage medium

Abstract

The application relates to a vehicle comfort evaluation method and device, computer equipment and a storage medium. It belongs to the field of automatic driving, and the method comprises the following steps: a virtual vehicle corresponding to a to-be-tested vehicle is constructed; the virtual vehicle contains a virtual passenger object; in the process of simulating the driving of the to-be-tested vehicle by the virtual vehicle, the motion information of the virtual passenger object on the virtual vehicle is acquired; and the comfort of the to-be-tested vehicle is evaluated according to the motion information. The application evaluates the comfort of the to-be-tested vehicle by acquiring the motion information of the virtual passenger object, and the evaluation method is more scientific and objective, and the evaluation result is more persuasive compared with the traditional subjective evaluation result.

Description

Technical Field

[0001] This application relates to the field of vehicle comfort assessment technology, and in particular to a vehicle comfort assessment method and apparatus, computer equipment and storage medium. Background Technology

[0002] With the continuous development of automotive technology and the continuous improvement of living standards, in addition to driving performance and energy efficiency, vehicle comfort has become one of the key indicators that users pay attention to when considering vehicles.

[0003] Currently, the main method for comfort assessment is to have subjective evaluation participants experience the performance of autonomous driving algorithms in various scenarios and road conditions, and score them based on their subjective feelings to arrive at the final level of comfort.

[0004] This evaluation method relies on subjective assessment by personnel, depending on the experience and habits of the scorers. Different people may give significantly different scores under the same circumstances. Therefore, how to objectively evaluate vehicle comfort is a problem that urgently needs to be solved. Summary of the Invention

[0005] Therefore, it is necessary to provide a vehicle comfort assessment method, device, computer equipment, and storage medium that can assess vehicle comfort in order to address the aforementioned technical problems.

[0006] Firstly, this application provides a method for evaluating vehicle comfort. The method includes:

[0007] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0008] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0009] Based on operational information, assess the comfort of the vehicle under test.

[0010] In one embodiment, during the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is acquired, including:

[0011] Obtain the jerkiness and / or offset variables of the virtual passenger object on the virtual vehicle as motion information of the virtual passenger object on the virtual vehicle.

[0012] In one embodiment, obtaining the agitation of a virtual passenger in a virtual vehicle includes:

[0013] Based on the speed, acceleration, and time information of the simulated vehicle during its operation, the jerkiness of the virtual vehicle is determined, which serves as the jerkiness of the virtual passenger on the virtual vehicle.

[0014] In one embodiment, obtaining the offset variable of the virtual passenger object on the virtual vehicle includes:

[0015] Key nodes for identifying virtual ride-hailing users;

[0016] During the virtual vehicle simulation, the offset speed and / or offset distance of each key node are obtained as offset variables of the virtual passenger object on the virtual vehicle.

[0017] In one embodiment, the comfort of the vehicle under test is evaluated based on operational information, including:

[0018] The first comfort index value is determined based on the jerkiness in the operation information;

[0019] The second comfort index value is determined based on the offset variable in the operation information;

[0020] Determine the target comfort index value based on the first comfort index value and the second comfort index value;

[0021] The comfort level of the vehicle under test is evaluated based on the target comfort index value.

[0022] In one embodiment, determining the second comfort index value based on the offset variable in the operational information includes:

[0023] Based on the offset variables corresponding to each key node of the virtual ride object, determine the deviation index value of each key node;

[0024] The second comfort index value is determined based on the deviation index values ​​of each key node.

[0025] In one embodiment, the deviation index value of each key node is determined based on the offset variable corresponding to each key node of the virtual ride object, including:

[0026] The ratio of the offset speed to the offset distance for each key node of the virtual vehicle object is used as the deviation index value for each key node.

[0027] In one embodiment, constructing a virtual vehicle corresponding to the vehicle to be tested includes:

[0028] By collecting real-time data from the in-vehicle sensors of the vehicle under test, the identity information and / or location information of the actual passengers in the vehicle under test can be determined.

[0029] The parameters of the virtual passenger are determined based on the identity information and / or location information of the real passenger.

[0030] Based on the vehicle parameters of the vehicle to be tested and the parameters of the virtual passenger, construct the virtual vehicle corresponding to the vehicle to be tested.

[0031] In one embodiment, the virtual passenger parameters are determined based on the identity information of the real passenger, including:

[0032] Based on the identity information of the real passenger, the weight of the passenger is determined and used as a parameter for the virtual passenger.

[0033] Secondly, this application also provides a comfort assessment device. The device includes:

[0034] The virtual simulation module is used to construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects.

[0035] The control acquisition module acquires motion information of the virtual passenger on the virtual vehicle during the virtual vehicle simulation of the vehicle under test.

[0036] The evaluation module is used to assess the comfort of the vehicle under test based on operational information.

[0037] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0038] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0039] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0040] Based on operational information, assess the comfort of the vehicle under test.

[0041] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0042] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0043] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0044] Based on operational information, assess the comfort of the vehicle under test.

[0045] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0046] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0047] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0048] Based on operational information, assess the comfort of the vehicle under test.

[0049] The aforementioned vehicle comfort assessment method, apparatus, computer equipment, and storage medium utilize a virtual simulation system to construct a virtual vehicle corresponding to the vehicle under test, and create virtual passenger objects within the virtual vehicle. During the simulation of the test vehicle's driving process in the virtual vehicle, the simulation system acquires the motion information of the virtual passenger objects on the virtual vehicle. Based on the motion information of the virtual passenger objects, the comfort of the test vehicle is assessed. This application simulates the actual driving process of the test vehicle by constructing a virtual vehicle. The motion information of the virtual passenger objects can realistically reflect the motion information of real passenger objects. By acquiring the motion information of the virtual passenger objects, the comfort of the test vehicle can be assessed. This application simulates a real-world scenario in the form of virtual simulation, increasing the safety of comfort assessment. Furthermore, by acquiring the motion information of virtual passenger objects to assess the comfort of the test vehicle, the assessment method is more scientific and objective, and the assessment results are more convincing compared to traditional subjective evaluation results. Attached Figure Description

[0050] Figure 1 A diagram illustrating the application environment of the vehicle comfort assessment method provided in this embodiment;

[0051] Figure 2 A flowchart illustrating the first vehicle comfort assessment method provided in this embodiment;

[0052] Figure 3 This is a schematic diagram of the process for evaluating the comfort of the vehicle under test provided in this embodiment;

[0053] Figure 4 This is a schematic diagram of the process for determining the second comfort index value provided in this embodiment;

[0054] Figure 5 This is a schematic diagram illustrating the process of constructing a virtual vehicle provided in this embodiment;

[0055] Figure 6 This is a flowchart illustrating the second vehicle comfort assessment method provided in this embodiment;

[0056] Figure 7 This is a structural block diagram of the first comfort assessment device provided in this embodiment;

[0057] Figure 8 This is a structural block diagram of the second comfort assessment device provided in this embodiment;

[0058] Figure 9 This is a structural block diagram of the third comfort assessment device provided in this embodiment;

[0059] Figure 10 This is a structural block diagram of the fourth comfort assessment device provided in this embodiment.

[0060] Figure 11 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0062] The vehicle comfort assessment method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, the vehicle under test 102 communicates with the server 104 via a network. A data storage system can store the data that the server 104 needs to process. The data storage system can be integrated onto the server 104 or placed in the cloud or on another network server. Specifically, the operating data of the vehicle under test 102 during its operation is transmitted to the server 104. The server 104 controls a virtual vehicle to simulate the operation of the vehicle under test 102, acquiring the motion information of the virtual passenger in the virtual vehicle. Based on the operating information, the server 104 evaluates the comfort of the vehicle under test 102. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0063] In one embodiment, such as Figure 2 As shown, a vehicle comfort evaluation method is provided, which can be applied to... Figure 1 Taking the server in the example of this, such as Figure 2 As shown, it includes the following steps:

[0064] S201, Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects.

[0065] The vehicle to be tested is a real vehicle for which comfort evaluation is to be conducted; the virtual vehicle can be a virtual vehicle constructed using a virtual simulation system to simulate the vehicle to be tested; the virtual passenger can be a dummy constructed using a simulation system to simulate a real passenger. It should be noted that the virtual vehicle can be a digital twin of the vehicle to be tested; the virtual passenger can be a digital twin of a real passenger.

[0066] Optionally, a virtual vehicle corresponding to the vehicle under test can be constructed using a virtual simulation system, and virtual passenger objects can be created within the virtual vehicle. For example, relevant parameters of the vehicle under test can be input into the virtual simulation system, and the virtual simulation system can construct the virtual vehicle based on these parameters.

[0067] S202, during the virtual vehicle simulation of the test vehicle's driving process, acquire the motion information of the virtual passenger on the virtual vehicle.

[0068] Optionally, this embodiment may acquire the driving data of the vehicle under test, use the driving data as parameters, and transmit it to the virtual simulation system via manual input or network transmission. The virtual simulation system then controls a virtual vehicle to simulate the driving of the vehicle under test. The driving data includes, but is not limited to, vehicle speed, acceleration, steering angle, and steering angular velocity.

[0069] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is acquired. Specifically, one possible implementation method is: the virtual simulation system automatically collects the motion information of the virtual passenger on the virtual vehicle through sensors on the virtual passenger (such as speed sensors, acceleration sensors, and displacement sensors).

[0070] Another implementation method is to acquire image information of virtual passengers collected during the virtual vehicle's operation, and then obtain the motion information of the virtual passengers on the virtual vehicle through the image information.

[0071] S203, based on operational information, assess the comfort of the vehicle under test.

[0072] Optionally, the operational information can reflect the physical dynamics of the virtual passenger during the virtual vehicle's operation to some extent, and the comfort of the vehicle under test can be evaluated through these physical dynamics. The operational information can be divided into different intervals, each assigned a different score, and the comfort of the vehicle under test is evaluated based on these scores. For example, the motion information can select tilt speed and / or tilt amplitude, which can be divided into different intervals and assigned different scores. The comfort of the vehicle under test is evaluated based on these scores; the greater the tilt speed and / or tilt amplitude, the lower the score of the corresponding interval, and the worse the comfort evaluation result of the vehicle under test.

[0073] This application utilizes a virtual simulation system to construct a virtual vehicle corresponding to the vehicle under test, and creates virtual passenger objects within the virtual vehicle. During the simulation of the test vehicle's operation, the simulation system acquires the motion information of the virtual passenger objects on the virtual vehicle. Based on this motion information, the comfort of the test vehicle is evaluated. This application simulates the actual driving process of the test vehicle by constructing a virtual vehicle. The motion information of the virtual passenger objects accurately reflects the motion information of real passenger objects. By acquiring this motion information, the comfort of the test vehicle can be evaluated. This application simulates a real-world scenario through virtual simulation, increasing the safety of comfort assessment. Furthermore, by acquiring the motion information of virtual passenger objects to evaluate the comfort of the test vehicle, the evaluation method is more scientific and objective, and the evaluation results are more convincing than traditional subjective evaluations.

[0074] Optionally, in this embodiment, the accuracy of acquiring the motion information of the virtual passenger on the virtual vehicle directly affects the comfort evaluation result of the vehicle under test. Therefore, in order to improve the accuracy of acquiring the motion information of the virtual passenger on the virtual vehicle, in one embodiment, in S202, during the virtual vehicle simulation of the vehicle under test driving, acquiring the motion information of the virtual passenger on the virtual vehicle includes:

[0075] During the virtual vehicle simulation of the test vehicle's driving process, the jerkiness and / or offset variables of the virtual passenger object on the virtual vehicle are acquired as motion information of the virtual passenger object on the virtual vehicle; among which, the offset variables include offset speed and / or offset distance.

[0076] Among them, judder refers to the rate of change of acceleration over time, a physical quantity describing how fast acceleration changes. Judder reflects how fast the force exerted by the seat on the actual passenger changes; a large judder will cause considerable discomfort to the actual passenger. Offset variable refers to the change in the amount of offset, including offset speed and / or offset distance. Offset speed refers to the speed at which the offset occurs; a large offset speed will affect the comfort of the actual passenger. Offset distance is the difference in position before and after the offset; a large offset distance will affect the comfort of the actual passenger.

[0077] One optional implementation method in this embodiment is: during the virtual vehicle simulation of the test vehicle driving, the jerkiness of the virtual passenger on the virtual vehicle is obtained as the motion information of the virtual passenger on the virtual vehicle.

[0078] Specifically, during the virtual vehicle simulation of the test vehicle's driving process, the change in acceleration of the virtual passenger on the virtual vehicle over time can be directly measured and obtained through sensors, i.e., the jerkiness of the virtual passenger on the virtual vehicle, as the motion information of the virtual passenger on the virtual vehicle.

[0079] Alternatively, during the simulation of the test vehicle's movement, the jerk of the virtual vehicle can be determined based on its speed, acceleration, and time information during the simulation. This jerk can then be used as the jerk of the virtual passenger on the virtual vehicle. For example, the jerk can be obtained by calculating the third derivative of displacement relative to time based on displacement and time information, or by calculating acceleration information based on speed and time information and then obtaining the jerk based on the acceleration information. These can all serve as the motion information of the virtual passenger on the virtual vehicle.

[0080] Another optional implementation of this embodiment is as follows: during the virtual vehicle simulation of the test vehicle driving, the offset variable of the virtual passenger object on the virtual vehicle is obtained as the motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variable includes offset speed and / or offset distance.

[0081] Specifically, it could be obtaining the overall offset of the virtual passenger object as the offset variable of the virtual passenger object on the virtual vehicle, or obtaining the offset of the center point of the virtual passenger object as the offset variable of the virtual passenger object on the virtual vehicle.

[0082] It can also be used to determine the key nodes of the virtual passenger object; to obtain the offset speed and / or offset distance of each key node during the virtual vehicle simulation of the test vehicle, as the offset variable of the virtual passenger object on the virtual vehicle.

[0083] Specifically, this embodiment can automatically acquire the offset speed and / or offset distance of the virtual passenger object through a simulation system. For example, a simulation system based on CARLA software is used to create a virtual vehicle, and a dummy is created within the virtual vehicle using the Ragdoll doll system as the virtual passenger object. The Ragdoll doll system can acquire the offset speed and / or offset distance of the virtual passenger object on the virtual vehicle. Alternatively, image information of the virtual passenger object can be collected during the virtual vehicle's movement, and the offset speed and / or offset distance of the virtual passenger object on the virtual vehicle can be acquired based on a comparison of preceding and following image frames.

[0084] Among them, key nodes can be important skeletal nodes of the virtual vehicle object, including but not limited to at least one or a combination of two or more of the waist node, neck node, and head node.

[0085] Another optional implementation is as follows: during the virtual vehicle simulation of the test vehicle driving, the jerkiness and offset variables of the virtual passenger object on the virtual vehicle are obtained as motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variables include offset speed and / or offset distance.

[0086] It should be noted that the process of obtaining the jerk and offset variables has been described in detail in the above embodiments, and will not be repeated here.

[0087] Based on the above embodiments, this application can obtain the motion information of virtual passengers on virtual vehicles in multiple ways, and the motion information obtained by each method can be used to evaluate the comfort of the vehicle under test, which improves the flexibility of the comfort evaluation process. In addition, evaluating the comfort of the vehicle under test from multi-dimensional motion information also improves the accuracy of the evaluation results.

[0088] In one embodiment, such as Figure 3 As shown, in S203, based on operational information, the comfort of the vehicle under test is evaluated, including:

[0089] S301, determine the first comfort index value based on the jerkiness in the operation information.

[0090] The first comfort index value is determined based on the degree of dynamism and is used to evaluate vehicle comfort.

[0091] Optionally, the agitation level range can be pre-defined, and different agitation level ranges can be assigned different comfort values; the higher the agitation level value, the lower the comfort value.

[0092] The jerkiness in the acquired motion information is matched with each jerkiness interval to determine the corresponding comfort value, which is then used as the first comfort index value.

[0093] S302, determine the second comfort index value based on the offset variable in the operation information.

[0094] The second comfort index value is determined based on the offset variable and is used to evaluate vehicle comfort.

[0095] Optionally, different offset variable intervals can be pre-divided, and different offset variable intervals can be assigned different weights. The larger the offset variable, the smaller the weight.

[0096] Obtain the offset variable from the operation information, determine the weight value based on the offset variable interval, and determine the second comfort index value based on the product of the offset variable and the weight value.

[0097] S303, determine the target comfort index value based on the first comfort index value and the second comfort index value.

[0098] Optionally, this embodiment may calculate and fuse the first comfort index value and the second comfort index value to determine the target comfort index value. For example, it may include, but is not limited to, summing, averaging, multiplying, or weighted summing.

[0099] S304 assesses the comfort of the vehicle under test based on the target comfort index value.

[0100] Optionally, this embodiment may divide the target comfort index value into multiple continuous intervals, assigning different comfort values ​​or comfort levels (e.g., excellent, good, average, poor, etc.) to each interval, and matching the corresponding intervals according to the target comfort index value to evaluate the comfort of the vehicle under test.

[0101] In this embodiment, a first comfort index value is determined based on the jerkiness in the operation information, and a second comfort index value is determined based on the offset variable in the operation information. The target comfort index of the vehicle under test is evaluated based on the first and second comfort index values. The target comfort index value is used as the comfort evaluation index of the vehicle under test. Both indicators can truly reflect the real comfort of real passengers without subjective evaluation factors, and can objectively and accurately reflect the comfort results of the vehicle under test.

[0102] Optionally, since the offset variables of the virtual passenger object relative to the virtual vehicle in this embodiment can be offset speed and offset distance, in one embodiment, such as Figure 4 As shown, in S302, the second comfort index value is determined based on the offset variable in the operation information. An optional implementation method is as follows:

[0103] S401, Determine the deviation index value of each key node based on the offset variables corresponding to each key node of the virtual ride object;

[0104] Among them, the deviation index value is the index value calculated based on the offset variable, which is used to determine the second comfort index value.

[0105] Optionally, the ratio of the offset speed to the offset distance corresponding to each key node of the virtual vehicle object can be obtained as the deviation index value of each key node. For example, the deviation index value of the waist node is the ratio of the offset speed to the offset distance of the waist node, the deviation index value of the neck node is the ratio of the offset speed to the offset distance of the neck node, and the deviation index value of the head node is the ratio of the offset speed to the offset distance of the head node.

[0106] Another alternative implementation is to collect image information of the virtual passenger during the virtual vehicle's operation, and obtain the virtual passenger's position on the virtual vehicle based on the comparison of previous and subsequent image frames.

[0107] S402, determine the second comfort index value based on the deviation index values ​​of each key node.

[0108] Optionally, the deviation index values ​​of each key node can be fused to determine the second comfort index value. For example, this can be achieved by, but is not limited to, summing, averaging, multiplying, or weighted summing.

[0109] Based on this embodiment, this application can more accurately determine the second comfort index value, thereby improving the accuracy of the comfort evaluation results of the vehicle under test.

[0110] Optionally, in this embodiment, the similarity between the constructed virtual vehicle and the vehicle under test, as well as the similarity between the virtual passenger and the real passenger, directly affects the accuracy of the comfort assessment. To make the constructed virtual vehicle and virtual passenger more closely resemble the vehicle under test and the real passenger, in one embodiment, such as... Figure 5 As shown, in S201, a virtual vehicle corresponding to the vehicle to be tested is constructed, including:

[0111] S501, using real-time data collected from the in-vehicle data acquisition device of the vehicle under test, to determine the identity information and / or location information of the actual passengers in the vehicle under test.

[0112] Real-time in-vehicle data refers to the real-time data collected by sensors on virtual passengers inside the vehicle. The real passengers can be children, adults, etc., and their identity information can include the number of passengers, gender, age, and body type. Their seating position can be the driver's seat, front passenger seat, or rear seat.

[0113] Optionally, one possible implementation of this step is to: collect real-time images of the in-vehicle environment using an in-vehicle camera as real-time in-vehicle data, and obtain the identity information and / or location information of the actual passengers by identifying the passengers in the in-vehicle environment images.

[0114] Another possible implementation is to collect in-vehicle audio data using multiple microphones deployed at different locations within the vehicle under test. This data serves as real-time in-vehicle data. The timbre and pitch of the in-vehicle audio data are then analyzed to obtain the identity information of the actual passenger. Based on the audio data collected by each microphone and the location of each microphone, the originating sound is analyzed, revealing the actual passenger's location within the vehicle.

[0115] Another possible implementation is to install pressure sensors on the seats of the vehicle under test, and use the pressure sensors to detect the weight of the actual passenger to obtain the passenger's identity information and / or passenger location information.

[0116] S502, determine the virtual passenger parameters based on the identity information and / or passenger location information of the real passenger.

[0117] Among them, the virtual passenger object parameters are obtained based on the identity information and / or passenger location information of the real passenger object, and are used to construct the virtual passenger object.

[0118] Optionally, in this embodiment, the identity information and / or location information of the real passenger determined in S501 can be directly used as the virtual passenger parameters.

[0119] Optionally, the weight of a passenger can be determined based on the identity information of the real passenger, and this weight can be used as a parameter for the virtual passenger. Specifically, the weight of the passenger can be determined based on information such as gender, age, and body type from the real passenger's identity information.

[0120] Optionally, the parameters of the virtual passenger can be determined based on the passenger's location information.

[0121] S503: Based on the vehicle parameters of the vehicle to be tested and the parameters of the virtual passenger object, construct the virtual vehicle corresponding to the vehicle to be tested.

[0122] The vehicle parameters of the vehicle to be tested include, but are not limited to, at least one of the following parameters: width, length, and weight.

[0123] Optionally, the vehicle parameters of the vehicle to be tested and the virtual passenger object parameters are input into the simulation system, and the simulation system constructs the virtual vehicle and virtual passenger object corresponding to the vehicle to be tested.

[0124] In this embodiment, the virtual vehicle and virtual passenger object constructed by combining the vehicle parameters of the vehicle under test and the parameters of the virtual passenger object are closer to the actual scenario, which can effectively improve the accuracy of the evaluation results.

[0125] Optionally, based on the above embodiments, such as Figure 6 As shown in the figure, this embodiment provides an optional method for evaluating vehicle comfort, including the following steps:

[0126] S601, Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects.

[0127] Optionally, the identity information and / or location information of the real passengers in the vehicle under test are determined by collecting real-time data from the in-vehicle sensors of the vehicle under test; the virtual passenger parameters are determined based on the identity information and / or location information of the real passengers; and a virtual vehicle corresponding to the vehicle under test is constructed based on the vehicle parameters and the virtual passenger parameters.

[0128] S602, during the virtual vehicle simulation of the test vehicle driving, the jerkiness and offset variables of the virtual passenger object on the virtual vehicle are acquired as motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variables include offset speed and offset distance.

[0129] Optionally, the jerkiness of the virtual vehicle can be determined based on the speed, acceleration, and time information of the simulated vehicle during its operation, and used as the jerkiness of the virtual passenger on the virtual vehicle.

[0130] Optionally, key nodes of the virtual passenger object are determined; the offset speed and offset distance of each key node are obtained during the virtual vehicle simulation of the test vehicle's driving process, and used as offset variables of the virtual passenger object on the virtual vehicle.

[0131] S603 determines the first comfort index value based on the jerkiness in the operation information.

[0132] S604 determines the second comfort index value based on the offset variable in the operation information.

[0133] Optionally, the ratio of the offset speed to the offset distance corresponding to each key node of the virtual ride object is used as the deviation index value of each key node; based on the deviation index value of each key node, the second comfort index value is determined.

[0134] S605, determine the target comfort index value based on the first comfort index value and the second comfort index value.

[0135] S606 evaluates the comfort of the vehicle under test based on the target comfort index value.

[0136] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0137] Based on the same inventive concept, this application also provides a comfort evaluation device for implementing the vehicle comfort evaluation method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of the one or more comfort evaluation device embodiments provided below can be found in the limitations of the vehicle comfort evaluation method described above, and will not be repeated here.

[0138] In one embodiment, such as Figure 7 As shown, a comfort assessment device 1 is provided, comprising: a virtual simulation module 10, a control acquisition module 20, and an assessment module 30, wherein:

[0139] The virtual simulation module 10 is used to construct a virtual vehicle corresponding to the vehicle to be tested; wherein, the virtual vehicle contains virtual passenger objects;

[0140] The control acquisition module 20 acquires the motion information of the virtual passenger on the virtual vehicle during the virtual vehicle simulation of the vehicle under test.

[0141] Evaluation module 30 is used to evaluate the comfort of the vehicle under test based on operational information.

[0142] In one embodiment, the upper Figure 7 The control acquisition module is specifically used to acquire the jerk and / or offset variables of the virtual passenger object on the virtual vehicle during the simulation of the test vehicle's driving, as the motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variables include offset speed and / or offset distance.

[0143] In one embodiment, in order to accurately obtain the jerkiness of the virtual passenger in the virtual vehicle, in the above... Figure 7 On the basis of, such as Figure 8 As shown, above Figure 7 The control acquisition module 20 includes a jerk acquisition unit 201 and / or an offset variable acquisition unit 202, wherein:

[0144] The jerkiness acquisition unit 201 is used to determine the jerkiness of the virtual vehicle based on the speed information, acceleration information and time information of the virtual vehicle simulation test vehicle during driving, and to use it as the jerkiness of the virtual passenger on the virtual vehicle.

[0145] The offset variable acquisition unit 202 is used to determine the key nodes of the virtual passenger object; and to acquire the offset speed and / or offset distance of each key node during the virtual vehicle simulation test vehicle driving process, as the offset variable of the virtual passenger object on the virtual vehicle.

[0146] In one embodiment, to improve the accuracy of the evaluation results, in the above... Figure 7 On the basis of, such as Figure 9 As shown, above Figure 7 The evaluation module 30 further includes:

[0147] The first index value determination unit 301 is used to determine the first comfort index value based on the swiftness in the operation information;

[0148] The second index value determination unit 302 is used to determine the second comfort index value based on the offset variable in the operation information;

[0149] The target index value determination unit 303 is used to determine the target comfort index value based on the first comfort index value and the second comfort index value.

[0150] Evaluation unit 304 is used to evaluate the comfort of the vehicle under test based on the target comfort index value.

[0151] In one embodiment, to improve the accuracy of the acquired second comfort index value, the upper... Figure 10 The second indicator value determination unit is specifically used to determine the second comfort indicator value based on the offset variables in the operation information, including: determining the deviation indicator value of each key node based on the offset variables corresponding to each key node of the virtual ride object; and determining the second comfort indicator value based on the deviation indicator value of each key node.

[0152] In one embodiment, to improve the accuracy of the acquired second comfort index value, the upper... Figure 10 The second indicator value determination unit is also used to take the ratio of the offset speed to the offset distance corresponding to each key node of the virtual vehicle object as the deviation indicator value of each key node.

[0153] In one embodiment, in the above Figure 7 On the basis of, such as Figure 10 As shown, above Figure 7 The virtual simulation module 10 further includes:

[0154] The data acquisition unit 101 is used to determine the identity information and / or the passenger location information of the actual passenger in the vehicle under test by collecting real-time data from the in-vehicle sensors of the vehicle under test.

[0155] The parameter determination unit 102 is used to determine the parameters of the virtual passenger based on the identity information and / or passenger location information of the real passenger.

[0156] The virtual simulation unit 103 constructs a virtual vehicle corresponding to the vehicle under test based on the vehicle parameters of the vehicle under test and the parameters of the virtual passenger.

[0157] In one embodiment, the upper Figure 10 The parameter determination unit is specifically used to determine the weight of the virtual passenger based on the identity information of the real passenger, and to use the weight of the virtual passenger as a parameter.

[0158] Each module in the aforementioned comfort assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0159] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 11 As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores spectral characteristic data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a vehicle comfort evaluation method.

[0160] Those skilled in the art will understand that Figure 11 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0161] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0162] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0163] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0164] Based on operational information, assess the comfort of the vehicle under test.

[0165] In one embodiment, when the processor executes the computer program, it further performs the following steps: during the virtual vehicle simulation of the test vehicle's driving, acquiring motion information of the virtual passenger on the virtual vehicle, including:

[0166] Obtain the jerkiness and / or offset variables of the virtual passenger object on the virtual vehicle as motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variables include offset speed and / or offset distance.

[0167] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining the jerk of the virtual passenger object on the virtual vehicle, including:

[0168] Based on the speed, acceleration, and time information of the simulated vehicle during its operation, the jerkiness of the virtual vehicle is determined, which serves as the jerkiness of the virtual passenger on the virtual vehicle.

[0169] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining the offset variable of the virtual passenger object on the virtual vehicle, including:

[0170] Key nodes for identifying virtual ride-hailing users;

[0171] During the virtual vehicle simulation, the offset speed and / or offset distance of each key node are obtained as offset variables of the virtual passenger object on the virtual vehicle.

[0172] In one embodiment, when the processor executes the computer program, it further performs the following steps: evaluating the comfort of the vehicle under test based on operational information, including:

[0173] The first comfort index value is determined based on the jerkiness in the operation information;

[0174] The second comfort index value is determined based on the offset variable in the operation information;

[0175] Determine the target comfort index value based on the first comfort index value and the second comfort index value;

[0176] The comfort level of the vehicle under test is evaluated based on the target comfort index value.

[0177] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining a second comfort index value based on an offset variable in the runtime information, including:

[0178] Based on the offset variables corresponding to each key node of the virtual ride object, determine the deviation index value of each key node;

[0179] The second comfort index value is determined based on the deviation index values ​​of each key node.

[0180] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the deviation index value of each key node based on the offset variables corresponding to each key node of the virtual ride object, including:

[0181] The ratio of the offset speed to the offset distance for each key node of the virtual vehicle object is used as the deviation index value for each key node.

[0182] In one embodiment, when the processor executes the computer program, it further performs the following steps: constructing a virtual vehicle corresponding to the vehicle to be tested, including:

[0183] By collecting real-time data from the in-vehicle sensors of the vehicle under test, the identity information and / or location information of the actual passengers in the vehicle under test can be determined.

[0184] The parameters of the virtual passenger are determined based on the identity information and / or location information of the real passenger.

[0185] Based on the vehicle parameters of the vehicle to be tested and the parameters of the virtual passenger, construct the virtual vehicle corresponding to the vehicle to be tested.

[0186] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining virtual passenger parameters based on the identity information of the real passenger, including:

[0187] Based on the identity information of the real passenger, the weight of the passenger is determined and used as a parameter for the virtual passenger.

[0188] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0189] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0190] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0191] Based on operational information, assess the comfort of the vehicle under test.

[0192] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: During the virtual vehicle simulation of the test vehicle's movement, it acquires motion information of the virtual passenger on the virtual vehicle, including:

[0193] Obtain the jerkiness and / or offset variables of the virtual passenger object on the virtual vehicle as motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variables include offset speed and / or offset distance.

[0194] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: When the processor executes the computer program, it further performs the following steps: obtaining the jerkiness of the virtual passenger object on the virtual vehicle, including:

[0195] Based on the speed, acceleration, and time information of the simulated vehicle during its operation, the jerkiness of the virtual vehicle is determined, which serves as the jerkiness of the virtual passenger on the virtual vehicle.

[0196] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: obtaining the offset variable of the virtual passenger object on the virtual vehicle, including:

[0197] Key nodes for identifying virtual ride-hailing users;

[0198] During the virtual vehicle simulation, the offset speed and / or offset distance of each key node are obtained as offset variables of the virtual passenger object on the virtual vehicle.

[0199] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: Evaluating the comfort of the vehicle under test based on operational information, including:

[0200] The first comfort index value is determined based on the jerkiness in the operation information;

[0201] The second comfort index value is determined based on the offset variable in the operation information;

[0202] Determine the target comfort index value based on the first comfort index value and the second comfort index value;

[0203] The comfort level of the vehicle under test is evaluated based on the target comfort index value.

[0204] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: determining a second comfort index value based on an offset variable in the runtime information, including:

[0205] Based on the offset variables corresponding to each key node of the virtual ride object, determine the deviation index value of each key node;

[0206] The second comfort index value is determined based on the deviation index values ​​of each key node.

[0207] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: determining the deviation index value of each key node based on the offset variables corresponding to each key node of the virtual ride-hailing object, including:

[0208] The ratio of the offset speed to the offset distance for each key node of the virtual vehicle object is used as the deviation index value for each key node.

[0209] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: Constructing a virtual vehicle corresponding to the vehicle to be tested, including:

[0210] By collecting real-time data from the in-vehicle sensors of the vehicle under test, the identity information and / or location information of the actual passengers in the vehicle under test can be determined.

[0211] The parameters of the virtual passenger are determined based on the identity information and / or location information of the real passenger.

[0212] Based on the vehicle parameters of the vehicle to be tested and the parameters of the virtual passenger, construct the virtual vehicle corresponding to the vehicle to be tested.

[0213] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: The processor, when executing the computer program, further implements the following steps: determining virtual passenger parameters based on the identity information of the real passenger, including:

[0214] Based on the identity information of the real passenger, the weight of the passenger is determined and used as a parameter for the virtual passenger.

[0215] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0216] Construct a virtual vehicle corresponding to the vehicle to be tested; the virtual vehicle contains virtual passenger objects;

[0217] During the virtual vehicle simulation of the test vehicle's driving process, the motion information of the virtual passenger on the virtual vehicle is obtained;

[0218] Based on operational information, assess the comfort of the vehicle under test.

[0219] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: During the virtual vehicle simulation of the test vehicle's movement, it acquires motion information of the virtual passenger on the virtual vehicle, including:

[0220] Obtain the jerkiness and / or offset variables of the virtual passenger object on the virtual vehicle as motion information of the virtual passenger object on the virtual vehicle; wherein, the offset variables include offset speed and / or offset distance.

[0221] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: When the processor executes the computer program, it further performs the following steps: obtaining the jerkiness of the virtual passenger object on the virtual vehicle, including:

[0222] Based on the speed, acceleration, and time information of the simulated vehicle during its operation, the jerkiness of the virtual vehicle is determined, which serves as the jerkiness of the virtual passenger on the virtual vehicle.

[0223] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: obtaining the offset variable of the virtual passenger object on the virtual vehicle, including:

[0224] Key nodes for identifying virtual ride-hailing users;

[0225] During the virtual vehicle simulation, the offset speed and / or offset distance of each key node are obtained as offset variables of the virtual passenger object on the virtual vehicle.

[0226] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: Evaluating the comfort of the vehicle under test based on operational information, including:

[0227] The first comfort index value is determined based on the jerkiness in the operation information;

[0228] The second comfort index value is determined based on the offset variable in the operation information;

[0229] Determine the target comfort index value based on the first comfort index value and the second comfort index value;

[0230] The comfort level of the vehicle under test is evaluated based on the target comfort index value.

[0231] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: determining a second comfort index value based on an offset variable in the runtime information, including:

[0232] Based on the offset variables corresponding to each key node of the virtual ride object, determine the deviation index value of each key node;

[0233] The second comfort index value is determined based on the deviation index values ​​of each key node.

[0234] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The processor, when executing the computer program, further performs the following steps: determining the deviation index value of each key node based on the offset variables corresponding to each key node of the virtual ride-hailing object, including:

[0235] The ratio of the offset speed to the offset distance for each key node of the virtual vehicle object is used as the deviation index value for each key node.

[0236] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: Constructing a virtual vehicle corresponding to the vehicle to be tested, including:

[0237] By collecting real-time data from the in-vehicle sensors of the vehicle under test, the identity information and / or location information of the actual passengers in the vehicle under test can be determined.

[0238] The parameters of the virtual passenger are determined based on the identity information and / or location information of the real passenger.

[0239] Based on the vehicle parameters of the vehicle to be tested and the parameters of the virtual passenger, construct the virtual vehicle corresponding to the vehicle to be tested.

[0240] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: The processor, when executing the computer program, further implements the following steps: determining virtual passenger parameters based on the identity information of the real passenger, including:

[0241] Based on the identity information of the real passenger, the weight of the passenger is determined and used as a parameter for the virtual passenger.

[0242] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this 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), magnetic 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. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0243] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0244] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for evaluating vehicle comfort, characterized in that, The method includes: Construct a virtual vehicle corresponding to the vehicle to be tested; wherein, the virtual vehicle contains virtual passenger objects; During the virtual vehicle simulation of the test vehicle's driving process, the abruptness and offset variables of the virtual passenger on the virtual vehicle are acquired as motion information of the virtual passenger on the virtual vehicle. A first comfort index value is determined based on the jerkiness in the motion information; wherein, determining the first comfort index value based on the jerkiness in the motion information includes: matching the jerkiness in the motion information with each jerkiness interval to determine the comfort value corresponding to the jerkiness; using the comfort value as the first comfort index value; each jerkiness interval has a corresponding comfort value; A second comfort index value is determined based on the offset variable in the motion information; wherein, determining the second comfort index value based on the offset variable in the motion information includes: determining a weight based on the offset variable in the motion information and the offset variable interval to which it belongs, and determining the second comfort index value based on the product of the offset variable and the weight. Determine the target comfort index value based on the first comfort index value and the second comfort index value; The comfort of the vehicle under test is evaluated based on the target comfort index value.

2. The method according to claim 1, characterized in that, The step of obtaining the abruptness of the virtual passenger on the virtual vehicle includes: Based on the speed, acceleration, and time information obtained during the simulation of the test vehicle's movement, the jerkiness of the virtual vehicle is determined and used as the jerkiness of the virtual passenger on the virtual vehicle.

3. The method according to claim 1, characterized in that, The step of obtaining the offset variable of the virtual passenger object on the virtual vehicle includes: Identify the key nodes of the virtual passenger object; During the simulation of the test vehicle's movement, the offset speed and / or offset distance of each key node are obtained and used as the offset variables of the virtual passenger on the virtual vehicle.

4. The method according to claim 1, characterized in that, The step of determining the second comfort index value based on the offset variable in the motion information includes: Based on the offset variables corresponding to each key node of the virtual ride-hailing object, determine the deviation index value of each key node; The second comfort index value is determined based on the deviation index values ​​of each key node.

5. The method according to claim 4, characterized in that, The step of determining the deviation index value of each key node based on the offset variables corresponding to each key node of the virtual ride object includes: The ratio of the offset speed to the offset distance corresponding to each key node of the virtual ride object is used as the deviation index value of each key node.

6. The method according to claim 1, characterized in that, The construction of the virtual vehicle corresponding to the vehicle to be tested includes: The identity information and location information of the actual passengers in the vehicle under test are determined by collecting real-time data from the in-vehicle sensors. Based on the identity information and location information of the real passenger, the parameters of the virtual passenger are determined; Based on the vehicle parameters of the vehicle to be tested and the parameters of the virtual passenger, a virtual vehicle corresponding to the vehicle to be tested is constructed.

7. The method according to claim 6, characterized in that, The step of determining the virtual passenger parameters based on the identity information of the real passenger includes: Based on the identity information of the real passenger, the weight of the passenger is determined, and the weight of the passenger is used as a parameter of the virtual passenger.

8. A comfort assessment device, characterized in that, The device includes: The virtual simulation module is used to construct a virtual vehicle corresponding to the vehicle to be tested; wherein, the virtual vehicle contains virtual passenger objects; The control acquisition module acquires the jerk and offset variables of the virtual passenger on the virtual vehicle during the simulation of the test vehicle's driving, as the motion information of the virtual passenger on the virtual vehicle. An evaluation module is used to determine a first comfort index value based on the jerkiness in the motion information; wherein, determining the first comfort index value based on the jerkiness in the motion information includes: matching the jerkiness in the motion information with each jerkiness interval to determine the comfort value corresponding to the jerkiness; using the comfort value as the first comfort index value; each jerkiness interval has a corresponding comfort value; determining a second comfort index value based on an offset variable in the motion information; wherein, determining the second comfort index value based on an offset variable in the motion information includes: determining a weight based on the offset variable in the motion information and the offset variable interval to which it belongs; determining the second comfort index value based on the product of the offset variable and the weight; determining a target comfort index value based on the first comfort index value and the second comfort index value; and evaluating the comfort of the vehicle under test based on the target comfort index value.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the vehicle comfort evaluation method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the vehicle comfort evaluation method according to any one of claims 1 to 7.

Images