Scene simulation data element verification method, system and device, medium and product

Abstract

The invention relates to an information technology, in particular to a scene simulation data element verification method, and aims to solve the problem of how to improve the precision of a function which can be realized by verification software in an analogue simulation process. In order to achieve the purpose, the scene simulation data element verification method comprises the steps that multiple data elements needed by a scene simulation test are obtained, and a simulation holographic data model is obtained based on the multiple data elements needed by the scene simulation test; obtaining the constraint of the multi-dimensional element set, and obtaining the number of data meeting the constraint of the multi-dimensional element set in the multi-dimensional element set based on the constraint of the multi-dimensional element set and the multi-dimensional element set in the simulation holographic data model; and determining whether the tested software realizes the tested function or not based on the number of the data pieces and the preset number of the data pieces. By means of the configuration mode, the functions which can be achieved by the tested software can be verified more accurately, more comprehensively and more reliably in the analogue simulation process.

Description

Technical Field

[0001] The present application relates to the field of information technology, and in particular to a scene simulation data element verification method, system, device, medium and product. Background Art

[0002] In the functional verification of intelligent driving and vehicle-road collaboration related products, simulation testing plays a very important role, not only saving costs and improving efficiency, but also providing a solid foundation and early safety guarantee for real vehicle testing. In the industry, simulation testing mainly relies on professional simulation software to complete the simulation of real traffic scenarios, and establish an efficient information interaction mechanism with the tested software or service to achieve the purpose of fully simulating the real use scenario of the software, and to achieve the purpose of verifying the software or service in the simulation process.

[0003] However, the inventors found that there are at least the following technical problems in the related art:

[0004] In the prior art, in traffic scenario simulation testing, there are problems such as difficulty in verifying the simulation test function, poor reliability, and poor versatility. Summary of the invention

[0005] One purpose of the present application is to provide a scenario simulation test data element verification method, at least to solve the problem of how to more accurately, comprehensively and reliably verify the functions of the software product or system under test during the traffic scenario simulation test.

[0006] To achieve the above objectives, some embodiments of the present application provide the following aspects:

[0007] In a first aspect, some embodiments of the present application further provide a scene simulation data element verification method, including:

[0008] Acquire multiple data elements required for the scene simulation test, and acquire a simulation holographic data model based on the multiple data elements required for the scene simulation test;

[0009] Obtaining the constraints of the multidimensional element set, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model, obtaining the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set;

[0010] Based on the number of data items and the preset number of data items, it is determined whether the tested software has realized the tested function.

[0011] In a second aspect, some embodiments of the present application further provide a scene simulation data element verification system, the system comprising:

[0012] An acquisition module, which is configured to acquire multiple data elements required for the scene simulation test, and acquire a simulation holographic data model based on the multiple data elements required for the scene simulation test;

[0013] A constraint module, configured to obtain the constraint of the multidimensional element set, and based on the constraint of the multidimensional element set and the multidimensional element set in the simulated holographic data model, obtain the number of data items in the multidimensional element set that satisfy the constraint of the multidimensional element set;

[0014] The determination module is configured to determine whether the tested software implements the tested function based on the number of data items and a preset number of data items.

[0015] In a third aspect, some embodiments of the present application further provide an electronic device, comprising: one or more processors; and a memory storing computer program instructions, wherein the computer program instructions, when executed, cause the processor to perform the steps of the method described above.

[0016] In a fourth aspect, some embodiments of the present application further provide a computer-readable medium having computer program instructions stored thereon, wherein the computer program instructions can be executed by a processor to implement the method as described above.

[0017] In a fifth aspect, some embodiments of the present application further provide a computer program product, comprising a computer program / instruction, which implements the steps of the method described above when executed by a processor.

[0018] Compared with the related art, in the solution provided by the embodiment of the present application, a variety of data elements required for the scene simulation test are obtained, and based on the variety of data elements required for the scene simulation test, a simulation holographic data model is obtained; the constraints of the multidimensional element set are obtained, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulation holographic data model, the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set is obtained; based on the number of data items and the preset number of data items, it is determined whether the tested software implements the tested function. Through the above configuration method, firstly, a variety of data elements required for the scene simulation test are obtained, and based on the variety of data elements required for the scene simulation test, a simulation holographic data model is obtained; the constraints of the multidimensional element set are obtained, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulation holographic data model, the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set is obtained; it is determined whether the tested software implements the tested function. Therefore, the present application can more accurately, comprehensively and reliably verify the functions that can be implemented by the tested software. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0020] Figure 1 It is a schematic flow chart of the main steps of a scene simulation data element verification method according to an embodiment of the present application;

[0021] Figure 2 It is a schematic diagram of the main components of a system for verifying scene simulation data elements according to an embodiment of the application;

[0022] Figure 3 is a schematic diagram of an exemplary structure of a processor and a memory according to the present application;

[0023] Figure 4 It is a schematic diagram of an exemplary structure of an electronic device according to the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] See attached Figure 1 , Figure 1 FIG. 1 is a flow chart of the main steps of a scene simulation data element verification method according to an embodiment of the present application. Figure 1 As shown, the scene simulation data element verification method in the embodiment of the present application mainly includes the following steps S101-S103.

[0026] Step S101: Acquire various data elements required for scene simulation testing, and acquire a simulation holographic data model based on the various data elements required for the scene simulation testing.

[0027] In this embodiment, multiple data elements required for the scene simulation test are obtained through the simulation software and the tested software, and based on the multiple data elements required for the scene simulation test, a simulation holographic data model is obtained, wherein the simulation holographic data model includes a multi-dimensional element set.

[0028] In one embodiment, the multiple data elements required for the scenario simulation test include at least one of the following data elements:

[0029] Static map data elements;

[0030] Traffic light data elements;

[0031] Dynamic traffic participant data elements;

[0032] Functional business data elements;

[0033] Custom data elements;

[0034] Physical environment data elements.

[0035] It should also be noted that static map data elements may include lane number / category / width, stop lines, intersection information, lane sequence relationship, and road curvature; traffic light data elements may include intersection information, phase, timing, light status, remaining time, and position; dynamic traffic participant data elements include position (latitude and longitude, elevation), speed, heading angle, acceleration (lateral and longitudinal), yaw angular velocity, relative distance to surrounding vehicles, and relative distance to the stop line or reference point; functional business data elements include algorithm output information, output decisions, statistical calculation results, prediction results, and status information; custom data elements include reference point position / speed, relative position, speed, and status; physical environment data elements include weather, day, night, visibility, road category, and friction coefficient.

[0036] It should also be noted that custom data elements are a type of variable and configurable element data that is created to assist in accurate verification. For example, reference point elements add dynamic or static reference points in advance during scene simulation as a reference point for subsequent verification business. Or add multiple reference points at the same time to achieve combined condition verification.

[0037] Step S102: Obtain the constraints of the multidimensional element set, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model, obtain the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set.

[0038] In this embodiment, the constraints of the multidimensional element set are obtained, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model, the number of data items in the multidimensional element set that meet the constraints of the multidimensional element set is obtained.

[0039] In one implementation, data projection is performed based on the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model to obtain the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set.

[0040] In one implementation, the constraints of the multidimensional element set include at least one of the following constraints:

[0041] Time constraints;

[0042] Location constraints;

[0043] Traffic participant restraint;

[0044] Relative position relationship constraints;

[0045] Timing constraints.

[0046] In one implementation, data projection is performed based on the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model to obtain the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set.

[0047] It should also be noted that the combined projection method is to project and cut out scene fragments from its full data set according to different combined element conditions, in order to facilitate the subsequent verification of the projected fragments using a general verification method. The so-called data projection is the process of screening out the target element data set according to different element combination conditions. The target element set generally contains all the data elements that one or more functional verification points depend on. The specific operation process is to obtain a full data set of a simulation scene, sort out the correspondence between various element conditions and expected reference values ​​(preset number of data items), which are called constraints or screening conditions here, and project the data according to the constraints (constraints of multidimensional element sets) to obtain the number of data items that meet the constraints, and compare whether the number of data items is consistent with expectations. If it is consistent, it means that the constraints are met.

[0048] In one implementation, a positive constraint is performed based on the number of data items and a preset number of data items; or a negative constraint is performed based on the number of data items and a preset number of data items.

[0049] It should also be noted that, for negative constraints, the preset number of data items can be set to 0, which means that there is no situation where the projection constraint is met.

[0050] It should also be noted that in simulation, a functional verification point can be abstracted into one (or a series of) behavioral events. Since it is an event, the three most basic constraints (also the most basic data elements) are required: time, location, and traffic participants. In order to more accurately express the behaviors in these events, more data element constraints need to be added. The more data element constraints, the better, as long as they can accurately describe the functions of the product. In practice, the granularity of data constraints needs to be continuously adjusted to achieve the best results. In addition, the quality of the data element model also determines the richness and effectiveness of the data constraints.

[0051] In one example, the verification function point is: the traffic participant encounters a red light ahead 150 meters away from the intersection, and begins to receive regulatory instructions to adjust the speed until it slows down and stops before the stop line. In order to verify these function points, more data element constraints are added. For example: a. When the traffic participant begins to receive traffic light information within 150 meters of the stop line of the intersection, the number of conditions that meet "many" is met; b. The traffic participant drives on the straight lane within 30 meters before the stop line, and the number of conditions that meet "many" is met; c. The intersection ahead is a red light, and the number of conditions that meet "many" is met; d. The traffic participant slows down and stops 0.5 meters before the stop line with a speed of 0, and the number of conditions that meet "many" is met. e. The deceleration of the traffic participant is between [-2.5,0], and the number of conditions that meet "all" is met. f. The vehicle does not collide with any environmental vehicle or person during driving, and the number of conditions that meet "all" is met. Each of the above constraints is used to project the scene data set once, and each projection is independent of each other. The data that meets these projection conditions is the data that meets the verification point.

[0052] Step S103: Based on the number of data items and the preset number of data items, determine whether the tested software implements the tested function.

[0053] In this embodiment, based on the number of data items and the preset number of data items, it is determined whether the tested software implements the tested function.

[0054] In one implementation, it is determined whether the number of data items is greater than or equal to the preset number of data items. If so, it is determined that the tested software implements the tested function. If not, it is determined that the tested software does not implement the tested function.

[0055] In one example, the function of the tested main vehicle changing lanes to the right is verified at a certain time or near a certain location. According to the holographic spatiotemporal data model, the holographic data element data set of the scene can be collected, and the time segment (a constraint in the time constraint) or spatial range (a constraint in the location constraint) and the expected value of the lane change status flag (a constraint in the location constraint) are used as projection constraints. It is determined whether the number of projected data is consistent with the expected number (preset number of data) to determine whether the function is satisfied.

[0056] It should also be noted that in the actual simulation test, the number of data that meets the projection constraint condition is a fuzzy value or a definite value. Therefore, multiple value ranges can be used for the verification of the number of data, such as definite values: 0, 1, 2...n, or fuzzy matching: "many": represents multiple data greater than 1, or not greater than (or not less than) a certain number of data, etc. Therefore, the expected value range verification method was invented. Because the algorithms of intelligent driving and vehicle-road collaboration related products are very complex, the changes in their algorithm output decisions occur in advance or in a delayed manner due to conditions and timing. Therefore, even if the simulation case and the algorithm under test do not change, the output results of the simulation test algorithm will be slightly different each time, which requires us to verify the certainty of the algorithm output in uncertainty. For example, there is an abnormal parking event in front of the main vehicle, and the algorithm output decision allows the vehicle to change lanes to the right in advance to avoid the event. In each running result, we will find that the position of the decision has changed to a certain extent, and the number of lane change decisions will be output one more or one less (determined by the change in the speed of the vehicle's decision execution after the simulation vehicle receives the information). Therefore, a flexible detection method is needed to bridge these small changes and verify the correctness of the function at the same time. The expected value range verification method mainly includes three aspects. The first is the expected value of the data element (it can be a value type or an array), which is represented by value here; the second is the operator, namely = (default operator), >, <, >=, <=, =, these operators are used to constrain the logical relationship between the actual value and the expected value; the third is the frequency (ie number) of constraint satisfaction, which can be a fixed value: 0, 1, 2...n, or fuzzy matching "many", or all satisfaction "all".

[0057] Based on the above steps S101-S103, a variety of data elements required for the scene simulation test are obtained, and based on the various data elements required for the scene simulation test, a simulation holographic data model is obtained; the constraints of the multidimensional element set are obtained, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulation holographic data model, the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set is obtained; based on the number of data items and the preset number of data items, it is determined whether the tested software implements the tested function. Through the above configuration method, firstly, a variety of data elements required for the scene simulation test are obtained, and based on the various data elements required for the scene simulation test, a simulation holographic data model is obtained; the constraints of the multidimensional element set are obtained, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulation holographic data model, the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set is obtained; it is determined whether the tested software implements the tested function. Therefore, the present application can more accurately, comprehensively and reliably verify the functions that can be implemented by the tested software.

[0058] The step division of the above methods is only for the purpose of clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs without changing the core design of the algorithm and process are all within the scope of protection of this patent.

[0059] See attached Figure 2 , Figure 2 FIG. 1 is a main structural block diagram of a scene simulation data element verification system according to an embodiment of the present application. Figure 2 As shown, the scene simulation data element verification system in the embodiment of the present application mainly includes an acquisition module 11, a constraint module 12 and a determination module 13. In some embodiments, one or more of the acquisition module 11, the constraint module 12 and the determination module 13 can be combined into one module. In some embodiments, the acquisition module 11 is configured to acquire a variety of data elements required for the scene simulation test, and acquire a simulation holographic data model based on the multiple data elements required for the scene simulation test. The constraint module 12 is configured to acquire the constraints of a multidimensional element set, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulation holographic data model, acquire the number of data items in the multidimensional element set that meet the constraints of the multidimensional element set. The determination module 13 is configured to determine whether the tested software implements the tested function based on the number of data items and the preset number of data items.

[0060] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0061] In addition, some embodiments of the present application also provide an electronic device. The electronic device may be a digital computer in various forms, such as a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, etc. The electronic device may also be a mobile device in various forms, such as a personal digital processing, a cellular phone, a smart phone, a wearable device, and other similar computing devices.

[0062] The electronic device includes: one or more processors; and a memory storing computer program instructions, wherein when the computer program instructions are executed, the processor executes the steps of the method provided in any one or more of the above embodiments. Figure 3 An exemplary structural diagram of the electronic device is disclosed. Figure 3 As shown, the electronic device includes: one or more processors 1101, memory 1102, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some other embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Among them, the components shown in this article, their connections and relationships, and their functions are only used as examples, and are not intended to limit the implementation of the present application described and / or required herein.

[0063] The electronic device may further include: an input device 1103 and an output device 1104. The processor 1101, the memory 1102, the input device 1103 and the output device 1104 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0064] The input device 1103 can receive input digital or character information, and generate key signal input related to the user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick and other input devices. The output device 1104 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display and a plasma display. In some embodiments, the display device may be a touch screen.

[0065] To provide interaction with a user, the electronic device may be a computer. The computer has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0066] In the embodiments of the present application, a computer program / instruction is stored on a computer-readable medium, and when the computer program / instruction is executed by a processor, the steps of the method provided by any one or more of the above embodiments are implemented. The computer-readable medium may be included in the electronic device described in the above embodiments; or it may exist independently without being assembled into the device. The above computer-readable medium carries one or more computer-readable instructions.

[0067] The memory 1102 can be used as a non-transient computer-readable storage medium, which can be used to store non-transient software programs, non-transient computer executable programs and modules. The processor 1101 executes various functional applications and data processing of the server by running the non-transient software programs, instructions and modules stored in the memory 1102, so as to implement the program instructions / modules corresponding to the method provided by any one or more embodiments in the embodiments of the present application.

[0068] The memory 1102 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 1102 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 1102 may optionally include a memory remotely arranged relative to the processor 1101, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0069] It should be noted that the computer-readable medium described in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device.

[0070] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, modules of programs or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0071] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet).

[0072] In the above-described embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. For example, it can be implemented by using an application specific integrated circuit (ASIC), a general-purpose computer or any other similar hardware device. In certain embodiments, the software program of the present application can be executed by a processor to implement the above steps or functions. Similarly, the software program of the present application (including relevant data structures) can be stored in a computer-readable recording medium, for example, a RAM memory, a magnetic or optical drive or a floppy disk and similar devices. In addition, some steps or functions of the present application can be implemented by hardware, for example, as a circuit that cooperates with a processor to perform each step or function.

[0073] The computer program product provided in the embodiment of the present application includes one or more computer programs / instructions, and when the computer program / instructions are executed by the processor, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive so lid state di sk (SSD)), etc.

[0074] The flow chart or block diagram in the accompanying drawings shows the possible architecture, function and operation of the equipment, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated system for hardware that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0075] The scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes that fall within the meaning and scope of the equivalent elements of the claims are included in the present application. Any figure mark in the claims should not be regarded as limiting the claims involved. In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the device claim may also be implemented by one unit or device through software or hardware. The words "first", "second", etc. are only used to distinguish the description, and do not indicate any particular order, nor can they be understood as indicating or implying relative importance.

[0076] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily mention changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims, and the above embodiments should be regarded as exemplary and non-restrictive.

Claims

1. A scene simulation data element verification method, characterized in that: include: Acquire multiple data elements required for the scene simulation test, and acquire a simulation holographic data model based on the multiple data elements required for the scene simulation test; Obtaining the constraints of the multidimensional element set, and based on the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model, obtaining the number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set; Based on the number of data items and the preset number of data items, it is determined whether the tested software has realized the tested function.

2. The scene simulation data element verification method according to claim 1, characterized in that: The obtaining, based on the constraint of the multidimensional element set and the multidimensional element set in the simulated holographic data model, the number of data items in the multidimensional element set that satisfy the constraint of the multidimensional element set comprises: Performing data projection according to the constraints of the multidimensional element set and the multidimensional element set in the simulated holographic data model; The number of data items in the multidimensional element set that satisfy the constraints of the multidimensional element set is obtained.

3. The scene simulation data element verification method according to claim 1, characterized in that: The determining, based on the number of data items and the preset number of data items, whether the tested software implements the tested function comprises: Determine whether the number of data items is greater than or equal to the preset number of data items; If yes, it is determined that the tested software implements the tested function; If not, it is determined that the tested software does not implement the tested function.

4. The scene simulation data element verification method according to claim 1, characterized in that: Also includes: Performing positive constraints based on the number of data items and a preset number of data items; or, Negative constraints are performed based on the number of data items and the preset number of data items.

5. The scene simulation data element verification method according to claim 1, characterized in that: Also includes: The constraints of the multidimensional element set include at least one of the following constraints: Time constraints; Location constraints; Traffic participant restraint; Relative position relationship constraints; Timing constraints.

6. The scene simulation data element verification method according to claim 1, characterized in that: Also includes: The multiple data elements required for the scenario simulation test include at least one of the following data elements: Static map data elements; Traffic light data elements; Dynamic traffic participant data elements; Functional business data elements; Custom data elements; Physical environment data elements.

7. A scene simulation data element verification system, characterized in that: The system comprises: An acquisition module, which is configured to acquire multiple data elements required for the scene simulation test, and acquire a simulation holographic data model based on the multiple data elements required for the scene simulation test; A constraint module, configured to obtain the constraint of the multidimensional element set, and based on the constraint of the multidimensional element set and the multidimensional element set in the simulated holographic data model, obtain the number of data items in the multidimensional element set that satisfy the constraint of the multidimensional element set; The determination module is configured to determine whether the tested software implements the tested function based on the number of data items and a preset number of data items.

8. An electronic device, characterized in that: The electronic device comprises: one or more processors; and A memory storing computer program instructions, which, when executed, cause the processor to perform the steps of the method as claimed in any one of claims 1 to 6.

9. A computer readable medium having a computer program / instructions stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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