CN109935130B - Method and device for controlling learner-driven vehicle to execute teaching task - Google Patents
Method and device for controlling learner-driven vehicle to execute teaching task Download PDFInfo
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- CN109935130B CN109935130B CN201910257649.4A CN201910257649A CN109935130B CN 109935130 B CN109935130 B CN 109935130B CN 201910257649 A CN201910257649 A CN 201910257649A CN 109935130 B CN109935130 B CN 109935130B
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Abstract
The invention discloses a method and a device for controlling a learner-driven vehicle to execute a teaching task. The method comprises the steps of firstly determining a target scene from a teaching scene database, wherein the target scene is a scene for a learner-driven vehicle to practice, then driving the learner-driven vehicle to a target field matched with the target scene according to the target scene, and finally generating at least one teaching task corresponding to the target scene based on the traffic condition of the target field. The invention solves the technical problem of single teaching mode of driving schools in the related technology.
Description
Technical Field
The invention relates to the field of intelligent teaching of driving schools, in particular to a method and a device for controlling a learner-driven vehicle to execute a teaching task.
Background
With the rapid increase of the number of automobiles, the requirements on the driving skills of drivers are also improved so as to reduce the accident occurrence probability and improve the traffic efficiency. On the other hand, along with the acceleration of the life rhythm of people, how to master the automobile driving skill and related regulations in the shortest time and high efficiency has important significance.
The traditional school for automobile driving training adopts a teaching mode of coaching with the automobile and learning and practicing by students. However, since the trainees are numerous and time-critical, the trainees cannot sufficiently communicate with the trainees, the driving process of the trainees is poor in reproducibility, and review, consolidation, correction and the like of the trainees are not facilitated; in addition, because each coach guides a large number of students in a period of time, the coaches are easy to generate fatigue, dysphoria and other emotions for repeated teaching of similar tasks, and the teaching quality is reduced.
Aiming at the technical problem of single teaching mode of a driving school in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for controlling a learner-driven vehicle to execute a teaching task, which at least solve the technical problem of single teaching mode of a driving school in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a method of controlling a learner-driven vehicle to perform a teaching task, including: determining a target scene from a teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice; driving the learner-driven vehicle to run to a target site matched with the target scene according to the target scene; and generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site.
Optionally, before determining the target scene from the teaching scene database, the method further includes: acquiring operation tasks finished by at least one vehicle in different teaching scenes; and establishing a teaching scene database of different teaching scenes and at least one corresponding operation task.
Optionally, the target scene comprises at least one of: overtaking, steering, lane changing and emergency braking.
Optionally, generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site includes: collecting traffic light information of a target site; acquiring information of other vehicles within a preset range of the learner-driven vehicle; at least one instructional task is determined based on the traffic light information and the other vehicle information.
Optionally, after generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site, the method further includes: detecting the traffic condition of a target site according to a preset period; predicting a potential hazard based on traffic conditions; the backup task is automatically initiated when a potential hazard is to occur on a route that is driven in accordance with at least one teaching task.
Optionally, the standby task comprises at least one of: whistling, hard braking, steering, lane changing, overtaking, turning on the lights and turning on the airbag.
Optionally, after generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site, the method further includes: if the learner-driven vehicle finishes the teaching task and enters a stop state, acquiring time and a route used for executing at least one teaching task; scoring according to time and lines to obtain a scoring result; and feeding back the scene to be selected based on the scoring result.
According to another aspect of the embodiments of the present invention, there is also provided an apparatus for controlling a learner-driven vehicle to perform a teaching task, including: the first determining module is used for determining a target scene from the teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to exercise; the driving module is used for driving the learner-driven vehicle to run to a target field matched with the target scene according to the target scene; and the generating module is used for generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site.
According to another aspect of the embodiment of the invention, a storage medium is further provided, and the storage medium includes a stored program, wherein when the program is executed, the device on which the storage medium is located is controlled to execute any one of the above methods for controlling the learner-driven vehicle to execute the teaching task.
According to another aspect of the embodiment of the invention, a processor is further provided, and the processor is used for executing the program, wherein the program executes any one of the above methods for controlling the learner-driven vehicle to execute the teaching task when running.
In the embodiment of the invention, a target scene is determined from a teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice, then the learner-driven vehicle is driven to drive to a target field matched with the target scene according to the target scene, and finally at least one teaching task corresponding to the target scene is generated based on the traffic condition of the target field. This application is based on unmanned driving learner-driven vehicle, through selecting the target scene, the learner-driven vehicle alright automatic traveling to the target site to the suggestion student accomplishes corresponding teaching task, has avoided traditional coach mode of training with oneself, has reached the purpose of intelligent teaching, and then has solved the single technical problem of teaching mode of driving school among the correlation technique.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flowchart of an alternative method for controlling a learner-driven vehicle to perform a teaching task, according to an embodiment of the present invention; and
fig. 2 is a schematic diagram of an alternative apparatus for controlling a learner-driven vehicle to perform a teaching task according to a second embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for controlling a learner-driven vehicle to perform a instructional task, it is noted that the steps illustrated in the flowchart of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a method for controlling a learner-driven vehicle to perform a teaching task according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
and S102, determining a target scene from the teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice.
In one alternative, the learner-driven vehicle may be an unmanned vehicle; the teaching scene database can be a database storing different teaching scenes, and is generally from scenes which are provided by driving schools, analyzed and counted and difficult to overcome by students; the determination mode can be selected through touch control of a display panel of the learner-driven vehicle and can also be determined through keys.
And step S104, driving the instructional car to travel to a target field matched with the target scene according to the target scene.
In an alternative, the above-mentioned determination manner of the target site may be obtained by a machine learning algorithm, such as a convolutional neural network; or the corresponding relation between the target scene and the target field is pre-established by a table look-up method.
It should be noted that one target scene may correspond to a plurality of target sites, and the driving level of the trainee may be considered when determining the target sites. For example, when the teaching scene is a passing, the target site may select a road with more obstacles if the trainee's driving level is more proficient, and may select a road without obstacles if the trainee's driving level is general.
In the steps, after the instruction for selecting the target scene is obtained by the learner-driven vehicle, the learner-driven vehicle can be carried with the learner and automatically drive to the target field matched with the target scene, so that even a beginner who does not have driving experience can independently drive the learner-driven vehicle to practice.
And S106, generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site.
In one alternative, the traffic condition may be a traffic light condition near the target site, or may be a condition of obstacles such as other vehicles, people, animals and the like near the target site, and is acquired by a camera; the teaching task can be an operation picture demonstrated by a display near a steering wheel, and can also be a text prompt or voice broadcast.
In an alternative embodiment, the target scene selected by the trainee through the display at the front end of the unmanned trainer is lane change, and after the instruction is given by the trainer vehicle, the trainer vehicle is generally automatically driven to the target site, namely a bidirectional six-lane road, in order to ensure the safety of the road section between the trainee and the target site from the driving school. And then, after the learner-driven vehicle collects the conditions of the traffic lights and other nearby vehicles through a camera outside the learner-driven vehicle, the learner-driven vehicle outputs corresponding operation tasks, such as a target lane, through analysis of a master controller of the learner-driven vehicle. When the learner still does not know how to operate, the learner-driven vehicle can demonstrate specific operation pictures, so that the learner can conveniently learn.
Based on the scheme provided by the embodiment of the application, firstly, a target scene is determined from a teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice, then, the learner-driven vehicle is driven to travel to a target field matched with the target scene according to the target scene, and finally, at least one teaching task corresponding to the target scene is generated based on the traffic condition of the target field. Compared with the prior art, the teaching vehicle is based on the unmanned teaching vehicle, the teaching vehicle can automatically run to a target site by selecting a target scene, a student is prompted to complete a corresponding teaching task, a traditional coach accompanying mode is avoided, the purpose of intelligent teaching is achieved, and the technical problem that the teaching mode of a driving school in the related technology is single is solved.
Optionally, before determining the target scene from the teaching scene database in step S102, the method further includes: step S1011, obtaining at least one operation task completed by the vehicle in different teaching scenes.
In the steps, correct coping modes of different vehicle types and different road conditions can be obtained by storing the operation tasks finished by the plurality of vehicles in different teaching scenes.
Step S1012, a teaching scene database of different teaching scenes and corresponding at least one operation task is established.
After the operation tasks finished by a plurality of vehicles in different teaching scenes are obtained, the subsequent teaching tasks can be conveniently called by establishing teaching scene databases of different teaching scenes and at least one corresponding operation task.
Optionally, the target scene comprises at least one of: overtaking, steering, lane changing and emergency braking.
It should be noted that, because the actual road conditions are complex, the listed scenes do not cause limitations on the target scene.
Optionally, in step S106, generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site, where the teaching task includes:
and step S1061, collecting traffic light information of the target site.
And step S1062, acquiring information of other vehicles within a preset range of the learner-driven vehicle.
In an alternative, the traffic light information and other vehicle information may be obtained by a collection device, such as a camera, external to the coach vehicle body.
And step S1063, determining at least one teaching task according to the traffic light information and other vehicle information.
In an optional embodiment, when the target scene is overtaking, the learner-driven vehicle acquires the conditions of the traffic lights and other nearby vehicles through a camera outside the learner-driven vehicle, and outputs corresponding operation tasks, such as a license plate and a vehicle type of the overtaken vehicle, through analysis of a master controller of the learner-driven vehicle.
In an optional embodiment, when the target scene is turning, the learner-driven vehicle automatically drives to the rotary island, collects the conditions of traffic lights and other nearby vehicles through a camera outside the vehicle body, analyzes the conditions through a main controller of the learner-driven vehicle, and outputs corresponding operation tasks, such as a target lane; if the learner does not know how to operate, the display of the instructional car can also directly demonstrate the specific operation flow.
Optionally, after generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site in step S106, the method further includes:
and step S1081, detecting the traffic condition of the target site according to a preset period.
In an alternative, the preset period may be set according to a road condition, and when there are more people and vehicles, the preset period is longer than a time set for a road with fewer people and vehicles.
Step S1082, predicting a potential hazard based on the traffic situation.
In an alternative, the potential danger may be from sudden malfunctions inside the learner-driven vehicle, or from external emergencies, such as sudden small animals, etc.
Step S1083, automatically initiating a backup task when a potential hazard is likely to occur on a route traveled according to at least one instructional task.
In the above steps, when the learner drives the vehicle according to the teaching task provided by the learner-driven vehicle, if the master controller of the learner-driven vehicle analyzes the potential danger on the predetermined route, the learner-driven vehicle actively takes over the vehicle and automatically drives to a safe area due to insufficient handling capacity of the learner for the emergency.
Optionally, the standby task comprises at least one of: whistling, hard braking, steering, lane changing, overtaking, turning on the lights and turning on the airbag.
The learner-driven vehicle can avoid the potential danger by executing the standby task.
Optionally, after generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site in step S106, the method further includes:
and step S1084, if the instructional car completes the teaching task and the instructional car enters a stop state, acquiring time and a route used for executing at least one teaching task.
In the above steps, the student is considered to complete the teaching task regardless of whether the student successfully completes the teaching task. And when the learner-driven vehicle enters a stop state, acquiring the time and route for executing the teaching task.
And step S1085, scoring is carried out according to the time and the route, and a scoring result is obtained.
It should be noted that the shorter the time for completing all teaching tasks corresponding to the target scene is, the smoother the line is, and the higher the score is.
And step S1086, feeding back the scene to be selected based on the scoring result.
In an alternative, the complexity of the candidate scenario may be proportional to the scoring result.
When the learner-driven vehicle detects that the learner finishes the teaching task, the learner can score the task according to the time and the route for finishing the teaching task, and then prompt the learner to carry out the next exercise scene according to the scoring result, so that extremely humanized driving experience is provided for the beginner.
In the above embodiment of the application, a target scene is determined from a teaching scene database, where the target scene is a scene in which a learner-driven vehicle exercises, the learner-driven vehicle is driven to travel to a target site matched with the target scene according to the target scene, and at least one teaching task corresponding to the target scene is generated based on a traffic condition of the target site. The embodiment is based on the unmanned instructional car, the instructional car can automatically drive to a target field by selecting a target scene, and prompts a student to complete a corresponding teaching task, so that the traditional instructional accompanying mode is avoided; the embodiment is convenient for calling the follow-up teaching task by establishing the teaching scene database of different teaching scenes and corresponding operation tasks; the learner-driven vehicle is driven to run to a target field matched with the target scene according to the target scene, so that even a beginner who has no driving experience can independently drive the learner-driven vehicle to practice; the potential danger is predicted by detecting the traffic condition of the target site, and the vehicle is actively taken over when the danger is about to occur, so that the life safety of the student is ensured; through the scoring mechanism after the teaching task is completed, the next exercise scene is automatically provided for the student, extremely humanized driving experience is provided for the student, the purpose of intelligent teaching is achieved, and the technical problem that the teaching mode of a driving school is single in the related technology is solved.
Example 2
According to the embodiment of the invention, a device for controlling a learner-driven vehicle to execute a teaching task is provided, and fig. 2 is a schematic view of the device for controlling the learner-driven vehicle to execute the teaching task according to the embodiment of the application. As shown in fig. 2, the apparatus 200 includes a first determining module 202, a driving module 204, and a generating module 206.
The first determining module 202 is configured to determine a target scene from a teaching scene database, where the target scene is a scene in which the learner-driven vehicle exercises.
And the driving module 204 is used for driving the learner-driven vehicle to drive to a target field matched with the target scene according to the target scene.
And the generating module 206 is configured to generate at least one teaching task corresponding to the target scene based on the traffic condition of the target site.
Optionally, the apparatus further comprises: the acquisition module is used for acquiring the finished operation tasks of at least one vehicle under different teaching scenes before determining a target scene from the teaching scene database; and the establishing module is used for establishing a teaching scene database of different teaching scenes and at least one corresponding operation task.
Optionally, the target scene comprises at least one of: overtaking, steering, lane changing and emergency braking.
Optionally, the generating module includes: the acquisition module is used for acquiring traffic light information of the target site; the first acquisition module is used for acquiring information of other vehicles within a preset range of the learner-driven vehicle; and the second determining module is used for determining the at least one teaching task according to the traffic light information and the other vehicle information.
Optionally, the apparatus further comprises: the detection module is used for detecting the traffic condition of the target site according to a preset period after generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site; a prediction module to predict a potential hazard based on the traffic situation; and the starting module is used for automatically starting the standby task when the potential danger can occur on a line driven according to the at least one teaching task.
Optionally, the standby task comprises at least one of: whistling, hard braking, steering, lane changing, overtaking, turning on the lights and turning on the airbag.
Optionally, the apparatus further comprises: the second acquisition module is used for acquiring time and a route used for executing at least one teaching task if the learner-driven vehicle finishes the teaching task and enters a stop state after generating at least one teaching task corresponding to a target scene based on the traffic condition of a target field; the scoring module is used for scoring according to time and lines to obtain a scoring result; and the feedback module is used for feeding back the scene to be selected based on the scoring result.
It should be noted that the first determining module 202, the driving module 204, and the generating module 206 correspond to steps S102 to S106 in embodiment 1, and the three modules are the same as the corresponding steps in the implementation example and application scenarios, but are not limited to the disclosure in embodiment 1.
Example 3
According to an embodiment of the present invention, there is provided a storage medium including a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute the method for controlling a learner-driven vehicle to execute a teaching task in embodiment 1.
Example 4
According to an embodiment of the present invention, there is provided a processor configured to execute a program, where the following steps are performed when the program is executed: determining a target scene from a teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice; driving the learner-driven vehicle to run to a target site matched with the target scene according to the target scene; and generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site.
Further, the processor may also execute the instructions of other steps in embodiment 1, which is not described herein again.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple 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 through some interfaces, units or modules, and may be in an electrical 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 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 of the present invention 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit 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 invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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 invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A method for controlling a learner-driven vehicle to execute a teaching task is characterized by comprising the following steps:
determining a target scene from a teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice;
driving the learner-driven vehicle to run to a target site matched with the target scene according to the target scene;
generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site,
generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site, wherein the teaching task comprises the following steps:
collecting traffic light information of the target site;
acquiring information of other vehicles within a preset range of the learner-driven vehicle;
and determining the at least one teaching task according to the traffic light information and the other vehicle information.
2. The method of claim 1, wherein prior to determining the target scene from the teaching scene database, the method further comprises:
acquiring operation tasks finished by at least one vehicle in different teaching scenes;
and establishing a teaching scene database of the different teaching scenes and the corresponding at least one operation task.
3. The method of claim 1, wherein the target scene comprises at least one of: overtaking, steering, lane changing and emergency braking.
4. The method of claim 1, wherein after generating at least one tutorial task corresponding to the target scene based on traffic conditions at the target site, the method further comprises:
detecting the traffic condition of the target site according to a preset period;
predicting a potential hazard based on the traffic situation;
automatically initiating a backup mission when the potential hazard is to occur on a route driven in accordance with the at least one instructional mission.
5. The method of claim 4, wherein the backup task comprises at least one of: whistling, hard braking, steering, lane changing, overtaking, turning on the lights and turning on the airbag.
6. The method of claim 1, wherein after generating at least one tutorial task corresponding to the target scene based on traffic conditions at the target site, the method further comprises:
if the learner-driven vehicle finishes the teaching task and enters a stop state, acquiring the time and the route for executing the at least one teaching task;
scoring according to the time and the line to obtain a scoring result;
and feeding back the scene to be selected based on the scoring result.
7. A device for controlling a learner-driven vehicle to perform a teaching task, comprising:
the first determination module is used for determining a target scene from a teaching scene database, wherein the target scene is a scene for the learner-driven vehicle to practice;
the driving module is used for driving the learner-driven vehicle to run to a target field matched with the target scene according to the target scene;
a generating module for generating at least one teaching task corresponding to the target scene based on the traffic condition of the target site,
the generation module comprises: the acquisition module is used for acquiring traffic light information of the target site; the first acquisition module is used for acquiring information of other vehicles within a preset range of the learner-driven vehicle; and the second determining module is used for determining the at least one teaching task according to the traffic light information and the other vehicle information.
8. A storage medium comprising a stored program, wherein the program, when executed, controls a device on which the storage medium is located to perform the method of controlling a learner-driven vehicle to perform a tutorial task as claimed in any one of claims 1 to 6.
9. A processor, characterized in that the processor is configured to run a program, wherein the program when run performs the method of controlling a learner-driven vehicle to perform a tutorial task according to any of claims 1 to 6.
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| CN206038325U (en) * | 2016-09-18 | 2017-03-22 | 中国石油大学(华东) | Unmanned intelligent test vehicle |
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