CN108919779A - A kind of interactive mode unmanned vehicle emulation mode and emulation platform - Google Patents
A kind of interactive mode unmanned vehicle emulation mode and emulation platform Download PDFInfo
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Abstract
This application provides a kind of interactive unmanned vehicle emulation mode and emulation platforms, wherein this method includes：Receive the operational order made after multiple traffic participant access emulation platforms to pedestrian or vehicle；Driving the pedestrian according to the operational order, perhaps vehicle moves in the emulation platform and obtains the exercise data of the pedestrian or vehicle in the emulation platform；It receives multiple unmanned vehicle developers and accesses the unmanned vehicle characteristic information inputted after the emulation platform, generate unmanned vehicle model, and control the unmanned vehicle model and moved based on the exercise data of the pedestrian or vehicle of acquisition in the emulation platform；Record operation data of the unmanned vehicle model in the emulation platform.The embodiment of the present application is by interactive mode and disclosed intelligent decision interface, the reaction for allowing each traffic participant energy sense of reality to make to automatic driving vehicle, has more authenticity and opening.
Description
Technical Field
The application relates to the technical field of automatic driving, in particular to an interactive unmanned vehicle simulation method and a simulation platform.
Background
The development of automated driving techniques is entering an outbreak period, and more companies are entering this area and participating in the army where automated driving techniques are being developed. The existing model is usually to use a closed internal simulation platform inside each company to simulate some predetermined scenes under a preset environment, such as whether an autonomous vehicle will stop at an intersection to wait for a red light, etc., and to avoid a pedestrian with a preset action direction (e.g., move from west to east at a constant speed at a certain intersection). The prior art is therefore lacking in openness and is generally only used within a certain company. Furthermore, all other traffic participants (including pedestrians and vehicles) and people, except the autonomous vehicle itself, move along established routes, lacking realism as compared to that of real world pedestrians and vehicles, making such evaluations unattractive. For the general public, the safety performance of the technology is difficult to experience in person.
Content of application
In view of this, an object of the present application is to provide an interactive unmanned vehicle simulation method and a simulation platform, so as to solve the problem of low openness and authenticity in the prior art.
In a first aspect, an embodiment of the present application provides an interactive unmanned vehicle simulation method, including:
receiving operation instructions of pedestrians or vehicles after a plurality of traffic participants access the simulation platform;
driving the pedestrian or the vehicle to move in the simulation platform according to the operation instruction, and acquiring the motion data of the pedestrian or the vehicle in the simulation platform;
receiving unmanned vehicle characteristic information input by a plurality of unmanned vehicle developers after accessing the simulation platform, generating an unmanned vehicle model, and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrians or vehicles in the simulation platform;
and recording the operation data of the unmanned vehicle model in the simulation platform.
In combination with the first aspect, the present examples provide a first possible implementation manner of the first aspect, where,
the receiving of the operation instruction of the plurality of traffic participants to the pedestrian or the vehicle after accessing the simulation platform includes:
and receiving an operation instruction for controlling the movement of the pedestrians or the vehicles according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles after a plurality of traffic participants access the simulation platform.
In combination with the first aspect or the first possible implementation manner of the first aspect, the present application provides a second possible implementation manner of the first aspect, wherein,
the operation instruction is sent out by the traffic participant through any one of a keyboard control mode, a remote sensing control mode and a virtual reality VR control mode.
In combination with the first possible implementation manner of the first aspect, the present application provides a third possible implementation manner of the first aspect, wherein,
the environmental data includes: at least one of road information, traffic identification information, and obstacle information.
In combination with the first aspect, the present examples provide a fourth possible implementation manner of the first aspect, wherein,
the operation data of the unmanned vehicle model in the simulation platform comprises:
the traveling speed, the traveling direction and the traveling state of the unmanned vehicle model;
the traveling speed of the unmanned vehicle model comprises traveling speed information and acceleration information;
the traveling directions of the unmanned vehicle model comprise straight traveling, steering and backing;
the traveling states of the unmanned vehicle model comprise driving, parking, lane changing, overtaking and emergency braking.
In a second aspect, an embodiment of the present application further provides an interactive unmanned vehicle simulation platform, where the simulation platform includes:
the traffic participant operation interface is used for receiving an operation instruction input by a plurality of traffic participants aiming at pedestrians or vehicles after accessing the simulation platform;
the acquisition module is used for driving the pedestrian or the vehicle to move in the simulation platform according to the operation instruction and acquiring the motion data of the pedestrian or the vehicle in the simulation platform;
the intelligent decision interface is used for receiving unmanned vehicle characteristic information input by a plurality of unmanned vehicle developers after accessing the simulation platform;
the control module is used for generating an unmanned vehicle model based on the unmanned vehicle characteristic information received by the intelligent decision interface and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrians or vehicles in the simulation platform;
and the recording module is used for recording the operation data of the unmanned vehicle model in the simulation platform.
In combination with the second aspect, the present embodiments provide a first possible implementation manner of the second aspect, wherein,
the transportation participant operational interface is specifically configured to:
and receiving an operation instruction for controlling the movement of the pedestrians or the vehicles according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles after a plurality of traffic participants access the simulation platform.
In combination with the second aspect or the first possible implementation manner of the second aspect, the present examples provide a second possible implementation manner of the second aspect, wherein,
the operation instruction is sent out by the traffic participant through any one of a keyboard control mode, a remote sensing control mode and a virtual reality VR control mode.
In combination with the second aspect, the present examples provide a third possible implementation manner of the second aspect, wherein,
the operation data of the unmanned vehicle model in the simulation platform comprises:
the traveling speed, the traveling direction and the traveling state of the unmanned vehicle model;
the traveling speed of the unmanned vehicle model comprises traveling speed information and acceleration information;
the traveling directions of the unmanned vehicle model comprise straight traveling, steering and backing;
the traveling states of the unmanned vehicle model comprise driving, parking, lane changing, overtaking and emergency braking.
In a third aspect, an embodiment of the present application further provides an electronic device, including: the device comprises a processor, a memory and a bus, wherein the memory stores machine readable instructions executable by the processor, when a network side device runs, the processor and the memory are communicated through the bus, and the machine readable instructions are executed by the processor to execute the method.
In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the above method.
Compared with the prior mode that only a closed internal simulation platform is used in each company, and certain set scenes are simulated in a preset environment, the interactive unmanned vehicle simulation method and the simulation platform have the advantages that a plurality of traffic participants and a plurality of companies are jointly connected into the simulation platform, the method and the simulation platform are more open and truthful, and automatic driving technologies among different companies are more convincing in the same simulation platform.
Further, according to the interactive unmanned vehicle simulation method and the interactive unmanned vehicle simulation platform provided by the embodiment of the application, the traffic participants can send operation instructions, the unmanned vehicles immediately react in various scenes, the traffic participants can really feel that the unmanned vehicles correctly avoid pedestrians or other vehicles under the condition that the unmanned vehicles are not preset, and the traffic participants can experience the safety of the unmanned vehicle technology in person.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a flow chart illustrating an interactive unmanned vehicle simulation method according to an embodiment of the present application;
FIG. 2 is a flow chart of an interactive unmanned vehicle simulation method provided in the second embodiment of the present application;
FIG. 3 is a flow chart of an interactive unmanned vehicle simulation method provided in the third embodiment of the present application;
fig. 4 shows a schematic structural diagram of an interactive unmanned vehicle simulation platform provided in the fourth embodiment of the present application.
Fig. 5 shows a block diagram of an electronic device provided in the fifth embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The problem that automatic driving technologies among different companies are difficult to compare due to the fact that the existing simulation platform is lack of openness and reality is solved. Based on this, the embodiment of the application provides an interactive unmanned vehicle simulation method and a simulation platform, which are described below through embodiments.
In the embodiment of the application, an operation instruction made to a pedestrian or a vehicle after a plurality of traffic participants are accessed to a simulation platform is received, the pedestrian or the vehicle is driven to move in the simulation platform according to the operation instruction, the motion data of the pedestrian or the vehicle in the simulation platform is obtained, unmanned vehicle characteristic information input after a plurality of unmanned vehicle developers are accessed to the simulation platform is received, an unmanned vehicle model is generated, the unmanned vehicle model is controlled to move based on the obtained motion data of the pedestrian or the vehicle in the simulation platform, and finally the operation data of the unmanned vehicle model in the simulation platform is recorded. A plurality of traffic participants and unmanned vehicle developers of a plurality of different companies are accessed into the simulation platform, so that the openness and the authenticity of the simulation platform are realized, and the automatic driving technologies among different companies can be compared.
Example one
An interactive unmanned vehicle simulation method provided by an embodiment of the application includes:
s101: and receiving operation instructions of pedestrians or vehicles after a plurality of traffic participants access the simulation platform.
Here, the traffic participant makes an operation instruction to the pedestrian or the vehicle through any one of a keyboard control mode, a remote sensing control mode, or a virtual reality VR control mode.
After a plurality of traffic participants access the simulation platform, operating instructions for controlling the movement of pedestrians or vehicles are made according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles, wherein the environmental data comprises road information, traffic identification information and obstacle information in the simulation platform, the road information comprises highways, bridges, tunnels and the like, and the traffic identification information comprises whistle forbidding, motor vehicle signal lamps, traffic indicator lamps, various forbidden or passing marks and the like.
S102: and driving the pedestrian or the vehicle to move in the simulation platform according to the operation instruction, and acquiring the motion data of the pedestrian or the vehicle in the simulation platform.
The operation instruction may specifically refer to an operation instruction for changing the traveling speed, the traveling direction, and the traveling state of the pedestrian or the vehicle, such as seeing a red light of a traffic indicator at an intersection, and stopping the vehicle at the intersection to wait for the red light, according to the environmental data and the traveling speed, the traveling direction, and the traveling state of other pedestrians and other vehicles.
S103: receiving unmanned vehicle characteristic information input by a plurality of unmanned vehicle developers after accessing the simulation platform, generating an unmanned vehicle model, and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrians or vehicles in the simulation platform.
Here, the unmanned vehicle characteristic information includes information such as the length, weight, affiliated research and development company, and duration of the unmanned vehicle.
S104: and recording the operation data of the unmanned vehicle model in the simulation platform.
The operation data specifically includes a traveling speed, a traveling direction, and a traveling state of the unmanned vehicle model, the traveling speed of the unmanned vehicle model further includes traveling speed information and acceleration information, where the acceleration information includes acceleration information at the time of acceleration and acceleration information at the time of deceleration, the traveling direction of the unmanned vehicle model further includes straight traveling, turning, and backing, and the traveling state of the unmanned vehicle model further includes traveling, parking, lane change, passing, and hard braking.
Example two
The detailed implementation process of the embodiment that the traffic participant in the first embodiment accesses the simulation platform and then makes the operation instruction to the pedestrian or the vehicle, and drives the pedestrian or the vehicle to move in the simulation platform according to the operation instruction to obtain the motion data of the pedestrian or the vehicle in the simulation platform is further described below.
An interactive unmanned vehicle simulation method provided by the second embodiment of the present application is shown in fig. 2, and includes:
s201: and receiving a request of a traffic participant for accessing the simulation platform, wherein the request carries the type of the traffic object.
Here, the type of the traffic object includes pedestrians and vehicles, the traffic participant accesses to the access port of the simulation platform through any one of a keyboard, remote sensing or virtual reality VR, and the simulation platform accesses to the feature information input interface of the type according to the type of the traffic object selected by the traffic participant on the display interface.
S202: and receiving the characteristic information of the traffic object input by the traffic participant to generate a traffic object model.
The characteristic information comprises pedestrian characteristic information and vehicle characteristic information, a display interface of the simulation platform is provided with characteristic information options, the pedestrian characteristic information specifically comprises information such as sex, height, weight, age, disability and pregnancy of pedestrians, and the vehicle characteristic information specifically comprises information such as vehicle type, passenger carrying quantity and passenger carrying quantity.
S203: and driving the traffic object model to move according to the operation instruction input by the traffic participant.
Here, the traffic participant operation instruction refers to an operation instruction to change the traveling speed, the traveling direction, the traveling state of the pedestrian or the vehicle.
S204: and recording the motion data of the traffic object model in the simulation platform.
The operation data specifically includes the traveling speed, the traveling direction, and the traveling state of the traffic object model, the traveling speed of the traffic object model further includes traveling speed information and acceleration information, where the acceleration information includes acceleration information at the time of acceleration and acceleration information at the time of deceleration, the traveling direction of the traffic object model further includes straight traveling, turning, and backing, and the traveling state of the traffic participant further includes pedestrian traveling, standing, running, and the like, and vehicle traveling, parking, lane change, passing, sudden braking, and the like.
EXAMPLE III
The process of generating the unmanned vehicle model and recording the number of operations of the unmanned vehicle model in the simulation platform in the first embodiment is further described below by a third embodiment.
Fig. 3 shows an interactive unmanned vehicle simulation method provided in the third embodiment of the present application, which includes:
s301: and receiving a request of the unmanned vehicle developer for accessing the simulation platform.
Here, the unmanned vehicle developer accesses the simulation platform by calling any one of the dynamic library or the network interface, and then the simulation platform enters the unmanned vehicle characteristic information input interface.
S302: and receiving the unmanned vehicle characteristic information input by unmanned vehicle developers to generate an unmanned vehicle model.
Here, the unmanned vehicle characteristic information includes information such as a drive system, a length, a weight, a research and development company to which the unmanned vehicle belongs, a duration, and the like of the unmanned vehicle.
S303: and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrian or the vehicle in the simulation platform, and recording the motion data of the unmanned vehicle model.
The motion data of the unmanned vehicle model is data for making corresponding motion according to motion data and environment data in the simulation platform after a plurality of traffic participants access the simulation platform, the operation data specifically comprises the traveling speed, the traveling direction and the traveling state of the unmanned vehicle model, the traveling speed of the unmanned vehicle model further comprises traveling speed information and acceleration information, the acceleration information comprises acceleration information during acceleration and acceleration information during deceleration, the traveling direction of the unmanned vehicle model further comprises straight traveling, steering and backing, the traveling state of the unmanned vehicle model further comprises traveling, stopping, lane changing, overtaking and emergency braking, and the environment data specifically comprises road information, traffic identification information and obstacle information in the simulation platform.
S304: and evaluating according to the motion data of the unmanned vehicle model.
Here, the evaluation of the security of the unmanned vehicle model specifically refers to the evaluation of indexes such as the number of times of violation of traffic rules, the number of casualties caused, the number of times of occurrence of traffic accidents, and the like of the unmanned vehicle model in different road scenes, traffic sign scenes, obstacle scenes, other scenes of pedestrians and vehicles.
Example four
The structure of the interactive unmanned vehicle simulation platform provided in the fourth embodiment of the present application is shown in fig. 4, where the interactive unmanned vehicle simulation platform 40 includes: the system comprises a traffic participant operation interface 41, an acquisition module 42, an intelligent decision interface 43, a control module 44 and a recording module 45; wherein,
the traffic participant operation interface 41 is used for receiving operation instructions input by a plurality of traffic participants for pedestrians or vehicles after the simulation platform 40 is operated and accessed;
the obtaining module 42 is configured to drive the pedestrian or the vehicle to move in the simulation platform 40 according to the operation instruction, and obtain motion data of the pedestrian or the vehicle in the simulation platform 40;
an intelligent decision interface 43, configured to receive unmanned vehicle feature information input by a plurality of unmanned vehicle developers accessing the simulation platform 40;
the control module 44 is configured to generate an unmanned vehicle model based on the unmanned vehicle characteristic information received by the intelligent decision interface 43, and control the unmanned vehicle model to move based on the motion data of the pedestrian or the vehicle in the simulation platform 40, which is acquired by the acquisition module 42;
and the recording module 45 is used for recording the operation data of the unmanned vehicle model in the simulation platform 40.
The interactive unmanned vehicle simulation platform 40 can be used for accessing a plurality of traffic participants and a plurality of unmanned vehicle developers, and further recording the running data of the unmanned vehicle, so that the openness and the authenticity of the simulation platform are realized, and the automatic driving technologies among different companies can be compared, and the interactive unmanned vehicle simulation platform is more convincing.
Optionally, the transportation participant operation interface 41 is accessed by a transportation participant through any one of a keyboard, remote sensing or virtual reality VR, and the transportation participant interface 41 is a network interface;
the intelligent decision making interface 42 is accessed by the unmanned vehicle developer by calling either a dynamic library or a network interface.
Optionally, the receiving of the operation instruction made by the plurality of traffic participants to the pedestrian or the vehicle after accessing the simulation platform 40 includes: and receiving operation instructions of corresponding movement made by a plurality of traffic participants according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles after the plurality of traffic participants access the simulation platform 40.
Based on the above analysis, compared with the company internal simulation method in the related art, the interactive unmanned vehicle simulation and simulation platform method provided by the embodiment of the application utilizes the traffic participant operation interface 41 and the intelligent decision interface 43 to jointly access a plurality of traffic participants and a plurality of companies to the simulation platform 40, so that the simulation platform 40 has openness and authenticity, the experience of the general public on the unmanned vehicle automatic driving technology is met, and the automatic driving technologies among different companies are more convincing in the same simulation platform.
EXAMPLE five
As shown in fig. 5, a schematic structural diagram of an electronic device 50 provided in the fifth embodiment of the present application includes: a processor 51, a memory 52 and a bus 53;
the memory 52 stores machine-readable instructions executable by the processor 51, when a network-side device runs, the processor 51 communicates with the memory 52 through the bus 53, and when the processor 51 executes the following processing:
receiving operation instructions of pedestrians or vehicles after a plurality of traffic participants access the simulation platform;
driving the pedestrian or the vehicle to move in the simulation platform according to the operation instruction, and acquiring the motion data of the pedestrian or the vehicle in the simulation platform;
receiving unmanned vehicle characteristic information input by a plurality of unmanned vehicle developers after accessing the simulation platform, generating an unmanned vehicle model, and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrians or vehicles in the simulation platform;
and recording the operation data of the unmanned vehicle model in the simulation platform.
In a specific implementation, in the processing executed by the processor 51, the receiving an operation instruction made to a pedestrian or a vehicle by a plurality of traffic participants after accessing the simulation platform includes:
and receiving an operation instruction for controlling the movement of the pedestrians or the vehicles according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles after a plurality of traffic participants access the simulation platform.
In specific implementation, the operation instruction is sent out by a traffic participant through any one of a keyboard control mode, a remote sensing control mode and a Virtual Reality (VR) control mode.
In a specific implementation, the environmental data includes: at least one of road information, traffic identification information, and obstacle information.
In a specific implementation, the operation data of the unmanned vehicle model in the simulation platform includes:
the traveling speed, the traveling direction and the traveling state of the unmanned vehicle model;
the traveling speed of the unmanned vehicle model comprises traveling speed information and acceleration information;
the traveling directions of the unmanned vehicle model comprise straight traveling, steering and backing;
the traveling states of the unmanned vehicle model comprise driving, parking, lane changing, overtaking and emergency braking.
EXAMPLE six
The sixth embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the interactive unmanned vehicle simulation method are executed.
The computer program product for performing the interactive unmanned vehicle simulation method provided in the embodiment of the present application includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and will not be described herein again.
The interactive unmanned vehicle simulation platform provided by the embodiment of the application can be specific hardware on equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An interactive unmanned vehicle simulation method, comprising:
receiving operation instructions of pedestrians or vehicles after a plurality of traffic participants access the simulation platform;
driving the pedestrian or the vehicle to move in the simulation platform according to the operation instruction, and acquiring the motion data of the pedestrian or the vehicle in the simulation platform;
receiving unmanned vehicle characteristic information input by a plurality of unmanned vehicle developers after accessing the simulation platform, generating an unmanned vehicle model, and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrians or vehicles in the simulation platform;
and recording the operation data of the unmanned vehicle model in the simulation platform.
2. The method of claim 1, wherein the receiving of the operation instruction made to the pedestrian or the vehicle by the plurality of traffic participants after accessing the simulation platform comprises:
and receiving an operation instruction for controlling the movement of the pedestrians or the vehicles according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles after a plurality of traffic participants access the simulation platform.
3. The method according to claim 1 or 2, wherein the operation instruction is sent by a traffic participant through any one of a keyboard control mode, a remote sensing control mode and a Virtual Reality (VR) control mode.
4. The method of claim 2, wherein the environmental data comprises: at least one of road information, traffic identification information, and obstacle information.
5. The method of claim 1, wherein the operational data of the unmanned vehicle model in the simulation platform comprises:
the traveling speed, the traveling direction and the traveling state of the unmanned vehicle model;
the traveling speed of the unmanned vehicle model comprises traveling speed information and acceleration information;
the traveling directions of the unmanned vehicle model comprise straight traveling, steering and backing;
the traveling states of the unmanned vehicle model comprise driving, parking, lane changing, overtaking and emergency braking.
6. An interactive unmanned vehicle simulation platform, comprising:
the traffic participant operation interface is used for receiving an operation instruction input by a plurality of traffic participants aiming at pedestrians or vehicles after accessing the simulation platform;
the acquisition module is used for driving the pedestrian or the vehicle to move in the simulation platform according to the operation instruction and acquiring the motion data of the pedestrian or the vehicle in the simulation platform;
the intelligent decision interface is used for receiving unmanned vehicle characteristic information input by a plurality of unmanned vehicle developers after accessing the simulation platform;
the control module is used for generating an unmanned vehicle model based on the unmanned vehicle characteristic information received by the intelligent decision interface and controlling the unmanned vehicle model to move based on the acquired motion data of the pedestrians or vehicles in the simulation platform;
and the recording module is used for recording the operation data of the unmanned vehicle model in the simulation platform.
7. The simulation platform of claim 6, wherein the transportation participant operational interface is specifically configured to:
and receiving an operation instruction for controlling the movement of the pedestrians or the vehicles according to the environmental data in the simulation platform and the movement of other pedestrians and other vehicles after a plurality of traffic participants access the simulation platform.
8. The simulation platform according to claim 6 or 7, wherein the operation instruction is sent out by a traffic participant through any one of a keyboard control mode, a remote sensing control mode and a Virtual Reality (VR) control mode.
9. The simulation platform of claim 6, wherein the operational data of the unmanned vehicle model in the simulation platform comprises:
the traveling speed, the traveling direction and the traveling state of the unmanned vehicle model;
the traveling speed of the unmanned vehicle model comprises traveling speed information and acceleration information;
the traveling directions of the unmanned vehicle model comprise straight traveling, steering and backing;
the traveling states of the unmanned vehicle model comprise driving, parking, lane changing, overtaking and emergency braking.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the method of any of claims 1 to 5.
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| CN111400896A (en) * | 2020-03-12 | 2020-07-10 | 阿里巴巴集团控股有限公司 | Traffic simulation method, equipment and storage medium |
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| CN111753425A (en) * | 2020-06-26 | 2020-10-09 | 北京百度网讯科技有限公司 | Simulation method, simulation device, electronic equipment and storage medium |
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