CN109949653A - A kind of driving training data analysis set-up and method - Google Patents
A kind of driving training data analysis set-up and method Download PDFInfo
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- CN109949653A CN109949653A CN201910240942.XA CN201910240942A CN109949653A CN 109949653 A CN109949653 A CN 109949653A CN 201910240942 A CN201910240942 A CN 201910240942A CN 109949653 A CN109949653 A CN 109949653A
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Abstract
Technical solution of the present invention includes a kind of driving training data analysis set-up and method, for realizing: including driving data acquisition module, acquire the driving data in user's practice training；Data analysis module is analyzed according to collected driving data using built-in analysis strategy, generates corresponding teaching plan based on the analysis results；Server stores user information；Virtual driving module simulates true vehicle for user and carries out driving training, generates driving data.The invention has the benefit that user can check the study schedule of oneself；Coach can grasp the study schedule of user student, reasonable arrangement learning tasks；Situation is grasped for different study sections purpose according to student, is targetedly imparted knowledge to students, raising efficiency.
Description
Technical field
The present invention relates to a kind of driving training data analysis set-up and methods, belong to virtual reality information process field.
Background technique
Traditional driving training is trained using true learner-driven vehicle mostly.User can not accurately know the training feelings of oneself
Condition cannot clearly understand oneself for the clearance rate of each training program, due to lacking visual data, to the instruction of oneself
Practice the understanding that situation lacks system, the study schedule for the understanding student that coach also can not be objective and accurate cannot be targeted
Specialized training is carried out, is unfavorable for promoting training efficiency.
Summary of the invention
To solve the above problems, the purpose of the present invention is to provide a kind of driving training data analysis set-up and method, packet
Driving data acquisition module is included, for acquiring the driving data in user's practice training, wherein driving data includes driving for user
It sails operation information and user drives the operating condition information of vehicle；Data analysis module is used for according to collected driving data,
It is analyzed using built-in analysis strategy, generates corresponding teaching plan based on the analysis results；Server, for storing user
Information, wherein user information includes the teaching plan of user account information, driving data and corresponding user, user account information
Including user account type；Virtual driving module carries out driving training for user for simulating true vehicle, generates driving data.
On the one hand technical solution used by the present invention solves the problems, such as it is: a kind of driving training data analysis set-up,
It is characterized in that, comprising: driving data acquisition module, for acquiring the driving data in user's practice training, wherein driving data
Driving performance information and user including user drive the operating condition information of vehicle；Data analysis module, for according to acquisition
The driving data arrived, is analyzed using built-in analysis strategy, generates corresponding teaching plan based on the analysis results；Service
Device, for storing user information, wherein user information includes the teaching side of user account information, driving data and corresponding user
Case, user account information include user account type；Virtual driving module carries out driving training for user for simulating true vehicle,
Generate driving data.
Further, the server further include: visualization model, for the driving data of user to be carried out at visualization
Reason shows driving data by chart and/or progress bar, when wherein driving data further includes the accumulative study of each project user
Between.
Further, the virtual driving module further include: training unit, for according to built-in project guide user into
The corresponding training of row；Track record unit, for recording the running track of user's virtual vehicle when carrying out virtual driving；Operation
Action record unit, for recording operations of the user when carrying out virtual driving, include but is not limited to put into gear, vehicle launch
Accelerate with flame-out, vehicle and slow down and lights of vehicle controls.
Further, the data analysis module further include: scoring unit is driven, is used for according to preset scoring tactics,
It scores the driving data of acquisition, and exports appraisal result；Driving behavior analysis unit, for according to behavioural analysis plan
Slightly, the driving behavior of user is assessed, in conjunction with the danger coefficient of the driving behavior of big data analysis user, and exports correspondence
Analysis result information.
Further, the data analysis module further include: training data analytical unit, for according to each project of user
The percent of pass for practicing the time it takes and each project of statistics is generated based on artificial intelligence and corresponds to teaching plan, and according to
Some cycles update teaching plan, and wherein some cycles can customize.
It further, further include terminal applies, for picture server application open message interface, for inquiring corresponding use
Family information, wherein terminal applies include but is not limited to wechat public platform, mobile terminal APP and page end.
Further, the user account type includes student's account and coach's account；The server further includes permission
Management module, for the open permission access server of designated user, wherein permission includes but is not limited to searching user's information, creation
User account and management user account, wherein management user account include delete, modification and by student's account and coach account
Binding relationship is established at family.
On the other hand technical solution used by the present invention solves the problems, such as it is: a kind of driving training data analysing method,
It is characterized in that, method includes the following steps: S100, creation user account, user is by using virtual driving module simulation
True vehicle driving procedure, and generate driving data；S200, acquisition driving data, are analyzed using built-in analysis strategy, according to
It analyzes result and generates corresponding teaching plan；S300, it the user information of user account is uploaded to server stores.Wherein
User information includes the teaching plan of user account information, driving data and corresponding user, and user account information includes user
Account Type.
Further, which is characterized in that the S100 further include: S101, user carry out corresponding according to built-in project
Training；S102, record user carry out the running track and operations of virtual vehicle when virtual driving in the training process, wherein
Include but is not limited to put into gear, vehicle launch and flame-out, vehicle accelerates and slows down and lights of vehicle control.
Further, which is characterized in that the S200 further include: S201, according to preset scoring tactics drives acquisition
It sails data to score, and exports appraisal result S202, according to behavioural analysis strategy, the driving behavior of user is assessed,
In conjunction with the danger coefficient of the driving behavior of big data analysis user, and export the report of correspondence analysis result.
The beneficial effects of the present invention are: student can check the study schedule of oneself, the confidence of oneself is promoted；Student can be grasped
Study schedule, reasonable arrangement learning tasks；It gets information about student and situation is grasped for different study sections purpose, carried out needle
Teaching to property, raising efficiency；It can be analyzed by the data of more students, optimize the teaching method of oneself.
Detailed description of the invention
Fig. 1 is apparatus structure schematic diagram according to the preferred embodiment of the invention；
Fig. 2 is method flow schematic diagram according to the preferred embodiment of the invention；
Fig. 3 is workflow schematic diagram according to the present invention；
Fig. 4 is the terminal applies inquiry schematic diagram to work according to the present invention.
Specific embodiment
It is carried out below with reference to technical effect of the embodiment and attached drawing to design of the invention, specific structure and generation clear
Chu, complete description, to be completely understood by the purpose of the present invention, scheme and effect.
It should be noted that unless otherwise specified, when a certain feature referred to as " fixation ", " connection " are in another feature,
It can directly fix, be connected to another feature, and can also fix, be connected to another feature indirectly.In addition, this
The descriptions such as the upper and lower, left and right used in open are only the mutual alignment pass relative to each component part of the disclosure in attached drawing
For system.The "an" of used singular, " described " and "the" are also intended to including most forms in the disclosure, are removed
Non- context clearly expresses other meaning.In addition, unless otherwise defined, all technical and scientific terms used herein
It is identical as the normally understood meaning of those skilled in the art.Term used in the description is intended merely to describe herein
Specific embodiment is not intended to be limiting of the invention.Term as used herein "and/or" includes one or more relevant
The arbitrary combination of listed item.
It will be appreciated that though various elements, but this may be described using term first, second, third, etc. in the disclosure
A little elements should not necessarily be limited by these terms.These terms are only used to for same type of element being distinguished from each other out.For example, not departing from
In the case where disclosure range, first element can also be referred to as second element, and similarly, second element can also be referred to as
One element.The use of provided in this article any and all example or exemplary language (" such as ", " such as ") is intended merely to more
Illustrate the embodiment of the present invention well, and unless the context requires otherwise, otherwise the scope of the present invention will not be applied and be limited.
VR: i.e. virtual reality technology, is a kind of computer simulation system that can be created with the experiencing virtual world, it is utilized
Computer generates a kind of simulated environment, is a kind of Multi-source Information Fusion, interactive Three-Dimensional Dynamic what comes into a driver's and entity behavior
System emulation is immersed to user in the environment.
Driving training software: pass through the teaching and examination process of software drive simulating training.
Driving training simulator: the hardware device of emulation driving training vehicle, user can be on simulators by driving training
Instruction software is learnt.
Referring to Fig.1, it is apparatus structure schematic diagram according to the preferred embodiment of the invention:
It include: driving data acquisition module, for acquiring the driving data in user's practice training, wherein driving data packet
The driving performance information and user that include user drive the operating condition information of vehicle；Data analysis module is collected for basis
Driving data, analyzed using built-in analysis strategy, generate corresponding teaching plan based on the analysis results；Server,
For storing user information, wherein user information includes the teaching plan of user account information, driving data and corresponding user,
User account information includes user account type；Virtual driving module carries out driving training for user for simulating true vehicle, generates
Driving data.
Server further include: visualization model passes through chart for the driving data of user to be carried out visualization processing
And/or progress bar shows driving data, wherein driving data further includes each project user accumulative learning time.
Virtual driving module further include: training unit, for carrying out corresponding training according to built-in project guidance user；
Track record unit, for recording the running track of user's virtual vehicle when carrying out virtual driving；Operational motion recording unit,
For recording operations of the user when carrying out virtual driving, include but is not limited to put into gear, vehicle launch and flame-out, vehicle add
Speed and deceleration and lights of vehicle control.
Data analysis module further include: drive scoring unit, be used for according to preset scoring tactics, to the driving number of acquisition
According to scoring, and export appraisal result；Driving behavior analysis unit, for the driving according to behavioural analysis strategy, to user
Behavior is assessed, and in conjunction with the danger coefficient of the driving behavior of big data analysis user, and exports the report of correspondence analysis result.
Data analysis module further include: training data analytical unit, for what is spent according to each project practice of user
The percent of pass of time and each project of statistics generates corresponding teaching plan based on artificial intelligence, and updates according to some cycles
Teaching plan, wherein some cycles can customize.
It further include terminal applies, for picture server application open message interface, for inquiring corresponding user information,
Middle terminal applies include but is not limited to wechat public platform, mobile terminal APP and page end.
User account type includes student's account and coach's account；The server further includes authority management module, is used for
Designated user open permission access server, wherein permission include but is not limited to searching user's information, creation user account and
User account is managed, wherein management user account includes deleting, modifying and student's account and coach's account are established binding pass
System.
It is method flow schematic diagram according to the preferred embodiment of the invention referring to Fig. 2:
S100, creation user account, user generate driving by using the true vehicle driving procedure of virtual driving module simulation
Data；S200, acquisition driving data, are analyzed using built-in analysis strategy, generate corresponding teaching based on the analysis results
Scheme；S300, it the user information of user account is uploaded to server stores.Wherein user information includes user account letter
The teaching plan of breath, driving data and corresponding user, user account information includes user account type.
S100 further include: S101, user carry out corresponding training according to built-in project；S102, record user are in training
In the process carry out virtual driving when virtual vehicle running track and operations, including but not limited to put into gear, vehicle opens
Dynamic and flame-out, vehicle accelerates and slows down and lights of vehicle control.
S200 further include: S201, according to preset scoring tactics scores to the driving data of acquisition, and exports and comment
Divide result S202, according to behavioural analysis strategy, the driving behavior of user is assessed, in conjunction with the driving of big data analysis user
The danger coefficient of behavior, and export the report of correspondence analysis result.
It is workflow schematic diagram according to the present invention referring to Fig. 3:
1, coach and student pay close attention to public platform, pass through public platform binding relationship with coach.
2, student uses the barcode scanning function of public platform, logs in VR software using wechat ID.
3, student carries out driving training study in VR software.
4, the training data of student is uploaded to cloud by VR software.
5, data visualization method: student checks the training data of oneself in public platform.It is checked in the public platform of coach
With the training data of the student of oneself binding relationship.
6, data quantization methods: it is divided into study situation and mock examination record two major classes.
Learn situation: statistics student includes: the aim of learning, learning objective in the overall study situation of each instructional item
Whether reach, learns the used time.As shown in fig. 4 a, when can intuitively recognize required for the situation up to standard and study of each project
Between；
Mock examination record: statistics student it is nearest 5 times examination clearance rates, often violate deduction of points point, it is nearest 5 times examination it is detailed
Record (the deduction of points point of triggering and the position of triggering deduction of points point).As shown in Figure 4 b, each test item is recognized by inquiry
Total marks of the examination and percent of pass and deduction of points point.
It should be appreciated that the embodiment of the present invention can be by computer hardware, the combination of hardware and software or by depositing
The computer instruction in non-transitory computer-readable memory is stored up to be effected or carried out.Standard volume can be used in the method
Journey technology-includes that the non-transitory computer-readable storage media configured with computer program is realized in computer program,
In configured in this way storage medium computer is operated in a manner of specific and is predefined --- according in a particular embodiment
The method and attached drawing of description.Each program can with the programming language of level process or object-oriented come realize with department of computer science
System communication.However, if desired, the program can be realized with compilation or machine language.Under any circumstance, which can be volume
The language translated or explained.In addition, the program can be run on the specific integrated circuit of programming for this purpose.
In addition, the operation of process described herein can be performed in any suitable order, unless herein in addition instruction or
Otherwise significantly with contradicted by context.Process described herein (or modification and/or combination thereof) can be held being configured with
It executes, and is can be used as jointly on the one or more processors under the control of one or more computer systems of row instruction
The code (for example, executable instruction, one or more computer program or one or more application) of execution, by hardware or its group
It closes to realize.The computer program includes the multiple instruction that can be performed by one or more processors.
Further, the method can be realized in being operably coupled to suitable any kind of computing platform, wrap
Include but be not limited to PC, mini-computer, main frame, work station, network or distributed computing environment, individual or integrated
Computer platform or communicated with charged particle tool or other imaging devices etc..Each aspect of the present invention can be to deposit
The machine readable code on non-transitory storage medium or equipment is stored up to realize no matter be moveable or be integrated to calculating
Platform, such as hard disk, optical reading and/or write-in storage medium, RAM, ROM, so that it can be read by programmable calculator, when
Storage medium or equipment can be used for configuration and operation computer to execute process described herein when being read by computer.This
Outside, machine readable code, or part thereof can be transmitted by wired or wireless network.When such media include combining microprocessor
Or other data processors realize steps described above instruction or program when, invention as described herein including these and other not
The non-transitory computer-readable storage media of same type.When methods and techniques according to the present invention programming, the present invention
It further include computer itself.
Computer program can be applied to input data to execute function as described herein, to convert input data with life
At storing to the output data of nonvolatile memory.Output information can also be applied to one or more output equipments as shown
Device.In the preferred embodiment of the invention, the data of conversion indicate physics and tangible object, including the object generated on display
Reason and the particular visual of physical objects are described.
The above, only presently preferred embodiments of the present invention, the invention is not limited to above embodiment, as long as
It reaches technical effect of the invention with identical means, all within the spirits and principles of the present invention, any modification for being made,
Equivalent replacement, improvement etc., should be included within the scope of the present invention.Its technical solution within the scope of the present invention
And/or embodiment can have a variety of different modifications and variations.
Claims (10)
1. a kind of driving training data analysis set-up characterized by comprising
Driving data acquisition module, for acquiring the driving data in user's practice training, wherein driving data includes user's
Driving performance information and user drive the operating condition information of vehicle；
Data analysis module, for being analyzed using built-in analysis strategy, according to analysis according to collected driving data
As a result corresponding teaching plan is generated；
Server, for storing user information, wherein user information includes user account information, driving data and corresponding user
Teaching plan, user account information includes user account type；
Virtual driving module carries out driving training for user for simulating true vehicle, generates driving data.
2. driving training data analysis set-up according to claim 1, which is characterized in that the server further include:
Visualization model is shown by chart and/or progress bar and is driven for the driving data of user to be carried out visualization processing
Data, wherein driving data further includes each project user accumulative learning time.
3. driving training data analysis set-up according to claim 1, which is characterized in that the virtual driving module is also wrapped
It includes:
Training unit, for carrying out corresponding training according to built-in project guidance user；
Track record unit, for recording the running track of user's virtual vehicle when carrying out virtual driving；
Operational motion recording unit, for recording operations of the user when carrying out virtual driving, include but is not limited to put into gear,
Vehicle launch and flame-out, vehicle accelerate and slow down and lights of vehicle control.
4. driving training data analysis set-up according to claim 1, which is characterized in that the data analysis module also wraps
It includes:
Scoring unit is driven, for scoring the driving data of acquisition according to preset scoring tactics, and exports scoring knot
Fruit；
Driving behavior analysis unit, for assessing the driving behavior of user, in conjunction with big data according to behavioural analysis strategy
The danger coefficient of the driving behavior of user is analyzed, and exports the report of correspondence analysis result.
5. driving training data analysis set-up according to claim 1, which is characterized in that the data analysis module also wraps
It includes:
Training data analytical unit, for practicing the time it takes according to each project of user and counting the logical of each project
Rate is crossed, corresponding teaching plan is generated based on artificial intelligence, and update teaching plan according to some cycles, wherein some cycles can be certainly
Definition.
6. driving training data analysis set-up according to claim 1, which is characterized in that further include terminal applies, be used for
As server application open message interface, for inquiring corresponding user information, wherein terminal applies include but is not limited to wechat
Public platform, mobile terminal APP and page end.
7. driving training data analysis set-up according to claim 1, it is characterised in that:
The user account type includes student's account and coach's account；
The server further includes authority management module, opens permission access server for designated user, wherein permission includes
But it is not limited to searching user's information, creation user account and management user account, wherein management user account includes deleting, repairing
Change and student's account and coach's account are established into binding relationship.
8. a kind of driving training data analysing method, which is characterized in that method includes the following steps:
S100, creation user account, user generate driving number by using the true vehicle driving procedure of virtual driving module simulation
According to；
S200, acquisition driving data, are analyzed using built-in analysis strategy, generate corresponding teaching side based on the analysis results
Case；
S300, it the user information of user account is uploaded to server stores.Wherein user information includes user account letter
The teaching plan of breath, driving data and corresponding user, user account information includes user account type.
9. driving training data analysing method according to claim 8, which is characterized in that the S100 further include:
S101, user carry out corresponding training according to built-in project；
S102, record user carry out the running track and operations of virtual vehicle when virtual driving in the training process, wherein
Include but is not limited to put into gear, vehicle launch and flame-out, vehicle accelerates and slows down and lights of vehicle control.
10. driving training data analysing method according to claim 8, which is characterized in that the S200 further include:
S201, according to preset scoring tactics, score the driving data of acquisition, and export appraisal result
S202, according to behavioural analysis strategy, the driving behavior of user is assessed, in conjunction with the driving row of big data analysis user
For danger coefficient, and export correspondence analysis result report.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428696A (en) * | 2019-08-01 | 2019-11-08 | 深圳市机场股份有限公司 | A kind of training method of drive simulating, mobile terminal and computer storage medium |
| CN111158479A (en) * | 2019-12-27 | 2020-05-15 | 珠海超凡视界科技有限公司 | VR-based subject-two driving examination simulation exercise method and system |
| CN111754369A (en) * | 2020-06-24 | 2020-10-09 | 苏州赛格车圣导航科技有限公司 | Customized safety education courseware mode corresponding to driving behaviors of practitioners |
| CN111798717A (en) * | 2020-07-03 | 2020-10-20 | 福建百信信息技术有限公司 | Electric vehicle control system and method supporting VR driving training |
| CN112215121A (en) * | 2020-09-30 | 2021-01-12 | 易显智能科技有限责任公司 | Method and related device for personalized driving teaching |
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| CN113362674A (en) * | 2021-06-18 | 2021-09-07 | 北京百度网讯科技有限公司 | Method and device for adjusting driving training course, electronic equipment and storage medium |
| CN114241850A (en) * | 2021-12-24 | 2022-03-25 | 浙江金融职业学院 | Virtual reality all-in-one machine for driving training |
| WO2022109811A1 (en) * | 2020-11-24 | 2022-06-02 | 曹庆恒 | Driving teaching system and method for using same, and driving device and computer-readable storage medium |
| CN115361355A (en) * | 2022-08-15 | 2022-11-18 | 天津五八驾考信息技术有限公司 | Driving school information processing method, device, equipment and storage medium |
| CN117768666A (en) * | 2023-12-26 | 2024-03-26 | 南京牧信科技有限公司 | Mobile internet virtual training intelligent monitoring system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101739855A (en) * | 2008-11-07 | 2010-06-16 | 北京宣爱智能模拟技术有限公司 | Automobilism network personalized teaching system and learning method thereof |
| CN101763760A (en) * | 2008-11-14 | 2010-06-30 | 北京宣爱智能模拟技术有限公司 | Method and system for teaching motor vehicle driving |
| CN101772792A (en) * | 2007-08-01 | 2010-07-07 | 认知建立时机公司 | A system for adaptive teaching and learning |
| CN104282189A (en) * | 2014-10-31 | 2015-01-14 | 成都众易通科技有限公司 | Driving school simulated drive training system |
| CN106570089A (en) * | 2016-10-20 | 2017-04-19 | 北京安讯奔科技有限责任公司 | Extend information providing method and apparatus |
| CN106710360A (en) * | 2016-02-03 | 2017-05-24 | 北京易驾佳信息科技有限公司 | Intelligent driving training system and method based on augment virtual reality man-machine interaction |
| CN107545803A (en) * | 2017-09-19 | 2018-01-05 | 浙江大学 | A kind of driving training intelligent coach system |
| JP2018037002A (en) * | 2016-09-02 | 2018-03-08 | 株式会社デンソー | Driving support device for vehicle |
| CN108062875A (en) * | 2017-12-30 | 2018-05-22 | 上海通创信息技术股份有限公司 | A kind of cloud driving training system based on virtual reality and big data on-line analysis |
-
2019
- 2019-03-28 CN CN201910240942.XA patent/CN109949653A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101772792A (en) * | 2007-08-01 | 2010-07-07 | 认知建立时机公司 | A system for adaptive teaching and learning |
| CN101739855A (en) * | 2008-11-07 | 2010-06-16 | 北京宣爱智能模拟技术有限公司 | Automobilism network personalized teaching system and learning method thereof |
| CN101763760A (en) * | 2008-11-14 | 2010-06-30 | 北京宣爱智能模拟技术有限公司 | Method and system for teaching motor vehicle driving |
| CN104282189A (en) * | 2014-10-31 | 2015-01-14 | 成都众易通科技有限公司 | Driving school simulated drive training system |
| CN106710360A (en) * | 2016-02-03 | 2017-05-24 | 北京易驾佳信息科技有限公司 | Intelligent driving training system and method based on augment virtual reality man-machine interaction |
| JP2018037002A (en) * | 2016-09-02 | 2018-03-08 | 株式会社デンソー | Driving support device for vehicle |
| CN106570089A (en) * | 2016-10-20 | 2017-04-19 | 北京安讯奔科技有限责任公司 | Extend information providing method and apparatus |
| CN107545803A (en) * | 2017-09-19 | 2018-01-05 | 浙江大学 | A kind of driving training intelligent coach system |
| CN108062875A (en) * | 2017-12-30 | 2018-05-22 | 上海通创信息技术股份有限公司 | A kind of cloud driving training system based on virtual reality and big data on-line analysis |
Non-Patent Citations (1)
| Title |
|---|
| 约翰·斯宾塞: "《为学生赋能 当学生自己掌控学习时，会发生什么》", 31 January 2019 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428696A (en) * | 2019-08-01 | 2019-11-08 | 深圳市机场股份有限公司 | A kind of training method of drive simulating, mobile terminal and computer storage medium |
| CN111158479A (en) * | 2019-12-27 | 2020-05-15 | 珠海超凡视界科技有限公司 | VR-based subject-two driving examination simulation exercise method and system |
| CN111754369A (en) * | 2020-06-24 | 2020-10-09 | 苏州赛格车圣导航科技有限公司 | Customized safety education courseware mode corresponding to driving behaviors of practitioners |
| CN111798717A (en) * | 2020-07-03 | 2020-10-20 | 福建百信信息技术有限公司 | Electric vehicle control system and method supporting VR driving training |
| CN112215121A (en) * | 2020-09-30 | 2021-01-12 | 易显智能科技有限责任公司 | Method and related device for personalized driving teaching |
| CN112639851A (en) * | 2020-11-24 | 2021-04-09 | 曹庆恒 | Operation teaching system, use method thereof, operation device and computer readable storage medium |
| WO2022109811A1 (en) * | 2020-11-24 | 2022-06-02 | 曹庆恒 | Driving teaching system and method for using same, and driving device and computer-readable storage medium |
| WO2022109812A1 (en) * | 2020-11-24 | 2022-06-02 | 曹庆恒 | Operation teaching system and usage method thereof, operation device, and computer readable storage medium |
| CN112419824A (en) * | 2020-12-01 | 2021-02-26 | 青岛凌鼎智能科技有限公司 | Interactive fire control simulation training system |
| CN113362674A (en) * | 2021-06-18 | 2021-09-07 | 北京百度网讯科技有限公司 | Method and device for adjusting driving training course, electronic equipment and storage medium |
| CN114241850A (en) * | 2021-12-24 | 2022-03-25 | 浙江金融职业学院 | Virtual reality all-in-one machine for driving training |
| CN115361355A (en) * | 2022-08-15 | 2022-11-18 | 天津五八驾考信息技术有限公司 | Driving school information processing method, device, equipment and storage medium |
| CN117768666A (en) * | 2023-12-26 | 2024-03-26 | 南京牧信科技有限公司 | Mobile internet virtual training intelligent monitoring system |
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