CN110599853A - Intelligent teaching system and method for driving school - Google Patents

Intelligent teaching system and method for driving school Download PDF

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CN110599853A
CN110599853A CN201910718213.0A CN201910718213A CN110599853A CN 110599853 A CN110599853 A CN 110599853A CN 201910718213 A CN201910718213 A CN 201910718213A CN 110599853 A CN110599853 A CN 110599853A
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information
learner
point location
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CN110599853B (en
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黎永华
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Shenzhen Huaqiao Intelligent Equipment Technology Co Ltd
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Shenzhen Huaqiao Intelligent Equipment Technology Co Ltd
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • G09B9/042Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • G09B9/052Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles characterised by provision for recording or measuring trainee's performance

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Abstract

The embodiment of the invention discloses an intelligent teaching system for driving schools, which comprises: the system comprises a positioning module, a point location indicating module, a main control module, a sensor acquisition module and a subject sub-project identification module; the positioning module is used for acquiring real-time position information of the learner-driven vehicle; the point location indicating module is used for determining a target point location based on the real-time position information; the subject sub-item identification module is used for identifying a subject sub-item according to the real-time position information and a preset RFID electronic tag; the sensor acquisition module is used for acquiring the vehicle body state information and the trainee driving information of the instructional car; and the main control module is used for analyzing the vehicle body state information and the student driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the student. The driving school intelligent teaching system realizes intelligent teaching of students, and improves learning efficiency through the accurate positioning module and the point location indicating module. In addition, an intelligent teaching method for the driving school is also provided.

Description

Intelligent teaching system and method for driving school
Technical Field
The invention relates to the field of artificial intelligence, in particular to an intelligent teaching system and method for driving schools.
Background
At present, with the convenience of traffic, more and more people learn to learn the driving license and need to drive and learn through a driving school. There are many problems with current teaching of coaches in driving schools, such as: the vehicle positioning is realized through the high-precision GPS, although the test simulation function can basically meet the actual use requirement, the test simulation system has the problems of high cost, difficulty in maintenance and troublesome modification and upgrade, and aims at teaching methods which are weak in training function, only can be used for mechanically broadcasting operation methods and cannot simulate the practice of coaches, the problem that teaching point positions are unclear exists when a student is taught, and the understanding and experience effects of the student on the point positions are influenced. It is therefore highly desirable to provide a method capable of efficiently guiding a learner to learn driving.
Disclosure of Invention
Therefore, it is necessary to provide an intelligent teaching system and method for driving schools with higher positioning accuracy to solve the above problems.
In a first aspect, the present invention provides an intelligent teaching system for driving schools, which is characterized in that the system comprises: the system comprises a positioning module, a point location indicating module, a main control module, a sensor acquisition module and a subject sub-project identification module, wherein the positioning module, the point location indicating module, the sensor acquisition module and the subject sub-project identification module are respectively connected with the main control module;
the positioning module is used for acquiring real-time position information of the learner-driven vehicle;
the point location indicating module is used for determining a target point location based on the real-time position information;
the subject sub-item identification module is used for identifying a subject sub-item according to the real-time position information and a preset RFID electronic tag;
the sensor acquisition module is used for acquiring the vehicle body state information and the trainee driving information of the learner-driven vehicle;
and the main control module is used for analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
In one embodiment, the system further comprises: and the cloud management platform is used for carrying out statistical analysis on the learning results of the students.
In one embodiment, the system further comprises: and the brake prompting module is composed of camera equipment and a radar and is used for carrying out brake operation when the master control module detects that the automobile body state information and the student driving information trigger a brake condition.
In one embodiment, the positioning module comprises: the system comprises a camera unit, a GPS system and a gyroscope;
the GPS system and the gyroscope are used for positioning the learner-driven vehicle in real time and acquiring the real-time position information;
the camera unit is used for shooting the lane line images around the learner-driven vehicle.
In one embodiment, the point location indicating module comprises 2 light units respectively arranged on a left rear view mirror and a right rear view mirror of the instructional car;
and the lighting unit carries out point location indication according to the real-time position information.
In one embodiment, the sensor acquisition module is further configured to acquire a vehicle body state signal of the learner-driven vehicle, and determine the vehicle body state information based on the vehicle body state signal.
In one embodiment, the main control module is further configured to obtain a learning mode of the trainee;
acquiring a corresponding analysis method based on the learning mode;
and analyzing the vehicle body state information and the trainee driving information by adopting the analysis method based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
In a second aspect, the present invention further provides a driving school intelligent teaching method, which is applied to a driving school intelligent teaching system, wherein the driving school intelligent teaching system includes a positioning module, a point location indicating module, a main control module, a sensor acquisition module and a subject sub-project identification module, and the method includes:
acquiring real-time position information of the learner-driven vehicle;
determining a target point location based on the real-time location information;
identifying subject sub-items according to the real-time position information and a preset RFID electronic tag;
collecting the body state information and the trainee driving information of the learner-driven vehicle;
and analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
In one embodiment, the obtaining of the real-time position information of the learner-driven vehicle specifically includes:
acquiring GPS data of the learner-driven vehicle through a GPS-based positioning technology;
acquiring navigation data of the learner-driven vehicle by adopting a vertical gyro navigation algorithm;
preprocessing the GPS data and the navigation data respectively to obtain target GPS data and target navigation data;
and performing feedback correction calculation on the target GPS data and the target navigation data by adopting a Kalman filtering algorithm to obtain the real-time position information.
In one embodiment, the determining the target point location based on the real-time location information specifically includes:
and calculating the target point location of the real-time position information through a preset point location calculation formula.
The driving school intelligent teaching system and the driving school intelligent teaching method are characterized in that the positioning module is used for acquiring real-time position information of the learner-driven vehicle; the point location indicating module is used for determining a target point location based on the real-time position information; the subject sub-item identification module is used for identifying a subject sub-item according to the real-time position information and a preset RFID electronic tag; the sensor acquisition module is used for acquiring the vehicle body state information and the trainee driving information of the learner-driven vehicle; and the main control module is used for analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee. The driving school intelligent teaching system realizes intelligent teaching of students, and improves learning efficiency through the accurate positioning module and the point location indicating module.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a block diagram showing the construction of an intelligent teaching system in a driving school according to an embodiment;
FIG. 2 is a block diagram of the structure of a positioning module in one embodiment;
FIG. 3 is a flowchart of an intelligent teaching method in a driving school according to an embodiment;
FIG. 4 is a flow diagram of a method for real-time location information determination in one embodiment.
Detailed Description
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.
As shown in fig. 1, in one embodiment, there is provided a driving school intelligent teaching system, comprising: the system comprises a positioning module 110, a point location indicating module 120, a main control module 150, a sensor acquisition module 140 and a subject sub-project identification module 130, wherein the positioning module 110, the point location indicating module 120, the sensor acquisition module 140 and the subject sub-project identification module 130 are respectively connected with the main control module 150;
the positioning module 110 is configured to obtain real-time position information of the learner-driven vehicle.
The positioning module can be realized through a GPS system and a gyroscope and is used for acquiring real-time position information of the learner-driven vehicle. It should be noted that the GPS system in this embodiment is a normal GPS system, i.e., a non-differential GPS system, which is not only convenient for maintenance, but also reduces the cost. Furthermore, the positioning module combines the GPS system with the gyroscope, so that the problem of low frame rate of the GPS system is solved, the accuracy of real-time position information is improved, the cost is saved, and the system maintenance is facilitated.
The point location indicating module 120 is configured to determine a target point location based on the real-time location information.
The point location indicating module indicates the point location of the trainee in the driving training process, and is used for determining a target point location according to real-time position information, namely the position of the trainee needing correct operation. It is easy to understand that, in the subject examination or training of the driving school, the target point can be determined according to the real-time position information of the instructional car and the preset calculation rule. For example, when the head of the learner-driven vehicle is located on the left line of the direct turn, the point location indicating module may determine that the target point is the left sideline. In this embodiment, through the position indication module, can help the student confirm the target position, promote student's training or learning effect.
And the subject sub-item identification module 130 is configured to identify a subject sub-item according to the real-time location information and a preset RFID tag.
The subject sub-item identification module is used for identifying a subject sub-item where the learner-driven vehicle is located. The preset RFID electronic tag is a preset tag used for uniquely identifying a subject sub-item and is located at an entrance of the subject sub-item, and the subject sub-item is a classified small item under each subject, for example, 5 subject sub-items exist in a second subject. Because the scenes of driving school test halls corresponding to different subject sub-projects are the same, the subject sub-projects cannot be determined only according to the real-time position information of the instructional car, and therefore, the subject sub-project identification module in the embodiment is used for accurately determining the subject sub-projects where coaches are located according to the real-time position information and the preset RFID electronic tags.
The sensor acquisition module 140 is used for acquiring the vehicle body state information and the trainee driving information of the instructional car.
The sensor acquisition module acquires vehicle body state information after receiving vehicle body signals of the learner-driven vehicle through the OBD interface. The driving information of the learner refers to the operation information of the learner, such as the driving track, the driving speed, the lighting information, the vehicle steering or returning operation and the like, which are acquired by the sensor acquisition module in the driving process of the learner-driven vehicle. The learner-driven vehicle driving information acquisition system comprises a sensor acquisition module, a learner-driven vehicle driving information acquisition module, a driving information acquisition module and a driving information acquisition module.
The main control module 150 is configured to analyze the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project, so as to obtain a learning result of the trainee.
The main control module can be realized through an application program on computer equipment and is used for analyzing the vehicle body state information and the student driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the student. Specifically, standard driving information of different subject sub-items is different, and by analyzing and comparing the vehicle body state information and the trainee driving information with the standard driving information, a learning result of the trainee can be determined, wherein the learning result can be a specific score or an evaluation grade, such as qualification or good. The analysis method can be based on the comparison of the scoring tables set by different subject sub-items. Furthermore, a corresponding learning report is generated according to the learning result of the student, further teaching is carried out according to the learning report, and the learning efficiency of the student is improved.
The driving school intelligent teaching system is characterized in that the driving school intelligent teaching system comprises a positioning module, a point position indicating module, a main control module, a sensor collecting module and a subject sub-project identifying module, wherein the positioning module, the point position indicating module, the sensor collecting module and the subject sub-project identifying module are respectively connected with the main control module; the positioning module is used for acquiring real-time position information of the learner-driven vehicle; the point location indicating module is used for determining a target point location based on the real-time position information; the subject sub-item identification module is used for identifying a subject sub-item according to the real-time position information and a preset RFID electronic tag; the sensor acquisition module is used for acquiring the vehicle body state information and the trainee driving information of the learner-driven vehicle; and the main control module is used for analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee. The driving school intelligent teaching system realizes intelligent teaching of students, and improves learning efficiency through the accurate positioning module and the point location indicating module.
In one embodiment, the driving school intelligent teaching system further comprises: and the cloud management platform is used for carrying out statistical analysis on the learning results of the students.
The cloud management platform is a cloud management program and is used for carrying out statistical analysis on learning results of students, so that intelligent teaching is realized, and the students are helped to improve learning effects. In the embodiment, the calculation and analysis of a large amount of data can be realized through the idea of cloud computing, and the calculation efficiency of the intelligent teaching system of the driving school is improved.
In the embodiment, the cloud computing idea can be used for realizing the computation and analysis of a large amount of data, and the computing efficiency of the intelligent teaching system of the driving school is improved.
In one embodiment, the driving school intelligent teaching system further comprises: and the brake prompting module is composed of camera equipment and a radar and is used for carrying out brake operation when the master control module detects that the automobile body state information and the student driving information trigger a brake condition.
And the brake prompting module is used for performing brake operation when the master control module detects that the vehicle body state information and the student driving information trigger a brake condition. And this brake suggestion module comprises camera equipment and radar, through camera equipment discernment learner-driven vehicle the place ahead and the lane line, the marker bit (like the flower bed) etc. of rear, main control module is based on camera equipment discernment's environment to judge whether trigger the brake condition according to automobile body state information and student's driving information, when having triggered the brake condition, then start the radar and carry out the brake operation, guarantee the security of driving in-process.
As shown in fig. 2, in one embodiment, the positioning module 110 includes a camera unit 1101, a GPS system 1102, and a gyroscope 1103.
The GPS system 1102 and the gyroscope 1103 are used for positioning the learner-driven vehicle in real time and acquiring the real-time position information; the camera unit 1101 is configured to capture a lane line image around the learner-driven vehicle.
In this embodiment, the positioning module camera unit, the GPS system and the gyroscope, wherein the camera unit includes 4 cameras, 2 cameras face forward, and the other 2 cameras face backward, and are installed at the position of the rearview mirror of the learner-driven vehicle, so as to increase the camera view field, thereby the definition of the lane line image around the learner-driven vehicle is increased, and the GPS system and the gyroscope can both position, thereby the GPS system and the gyroscope are combined, so that the precision of the real-time position information positioned by the positioning module is improved.
In one embodiment, the point location indicating module comprises 2 light units respectively arranged on a left rear view mirror and a right rear view mirror of the instructional car; and the lighting unit carries out point location indication according to the real-time position information.
Wherein, the point location indicating module includes 2 lighting units, installs respectively on left rear-view mirror and the right rear-view mirror on the learner-driven vehicle, when the target point location is on the left side of erroneous tendency learner-driven vehicle, install the lighting unit at left rear-view mirror and carry out the point location and instruct, when the target point location is on the right of erroneous tendency learner-driven vehicle, install the lighting unit at right rear-view mirror and carry out the point location and instruct, therefore, make point location indicating module can instruct each target point location, the accuracy of point location instruction has been improved, and then the accuracy of this school intelligent teaching system has been improved.
The point location indicating module improves the accuracy of point location indication, and further improves the accuracy of the intelligent teaching system of the driving school.
In one embodiment, the sensor acquisition module is further configured to acquire a vehicle body state signal of the learner-driven vehicle, and determine the vehicle body state information based on the vehicle body state signal.
Specifically, the sensor acquisition module is further used for acquiring the vehicle body state signal of the learner-driven vehicle, and the vehicle body state information of the learner-driven vehicle can be determined according to the received vehicle body state signal.
In one embodiment, the main control module is further configured to obtain a learning mode of the trainee; acquiring a corresponding analysis method based on the learning mode; and analyzing the vehicle body state information and the trainee driving information by adopting the analysis method based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
Specifically, the main control module is further configured to obtain learning modes of the trainee, such as a primary mode, a simplified mode, an intelligent mode, and the like, where evaluation and analysis conditions of each learning mode are different. And when the subject sub-item is identified, analyzing the vehicle body state information and the driving information of the student by adopting the analysis method to obtain the learning result of the student. The driving school intelligent teaching system has diversity, can meet the learning requirements of different students, and improves the intelligent degree.
The main control module acquires the learning mode of the student; acquiring a corresponding analysis method based on the learning mode; based on the standard driving information corresponding to the subject sub-project, the analysis method is adopted to analyze the vehicle body state information and the student driving information to obtain the learning result of the student, so that the driving school intelligent teaching system has diversity, can meet the learning requirements of different students, and improves the intelligent degree.
As shown in fig. 3, in an embodiment, an intelligent teaching method for a driving school is provided, which is applied to an intelligent teaching system for a driving school, where the intelligent teaching system for a driving school includes a positioning module, a point location indicating module, a main control module, a sensor collecting module, and a subject sub-item identifying module, and the method includes:
102, acquiring real-time position information of the learner-driven vehicle;
104, determining target point positions based on the real-time position information;
step 106, identifying subject sub-items according to the real-time position information and a preset RFID electronic tag;
step 108, collecting body state information and trainee driving information of the learner-driven vehicle;
and 110, analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-item to obtain the learning result of the trainee.
The method in the embodiment comprises the steps of obtaining real-time position information of the learner-driven vehicle, determining target point positions according to the real-time position information, and identifying subject sub-items according to the real-time position information and a preset RFID electronic tag; secondly, collecting the body state information and the trainee driving information of the instructional car; and finally, analyzing the vehicle body state information and the student driving information based on the standard driving information corresponding to the subject sub-item to obtain the learning result of the student. According to the driving school intelligent teaching method, the driving learning effect of the student can be improved by improving the precision of the real-time position information and the accuracy of the target point position, the vehicle body state information and the driving information of the student are analyzed, the learning result of the student is obtained, and the driving school intelligent teaching method and the intelligent degree are improved.
As shown in fig. 4, in an embodiment, the acquiring real-time location information of the learner-driven vehicle specifically includes:
102A, acquiring GPS data of the learner-driven vehicle through a GPS-based positioning technology;
102B, acquiring navigation data of the learner-driven vehicle by adopting a vertical gyro navigation algorithm;
102C, respectively preprocessing the GPS data and the navigation data to obtain target GPS data and target navigation data;
and 102D, performing feedback correction calculation on the target GPS data and the target navigation data by adopting a Kalman filtering algorithm to obtain the real-time position information.
In one embodiment, the determining the target point location based on the real-time location information includes: and calculating the target point location of the real-time position information through a preset point location calculation formula.
It should be noted that the above-mentioned driving school intelligent teaching system and driving school intelligent teaching method belong to a general inventive concept, and the contents in the driving school intelligent teaching system and driving school intelligent teaching method embodiments are mutually applicable.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A driving school intelligent teaching system, the system comprising: the system comprises a positioning module, a point location indicating module, a main control module, a sensor acquisition module and a subject sub-project identification module, wherein the positioning module, the point location indicating module, the sensor acquisition module and the subject sub-project identification module are respectively connected with the main control module;
the positioning module is used for acquiring real-time position information of the learner-driven vehicle;
the point location indicating module is used for determining a target point location based on the real-time position information;
the subject sub-item identification module is used for identifying a subject sub-item according to the real-time position information and a preset RFID electronic tag;
the sensor acquisition module is used for acquiring the vehicle body state information and the trainee driving information of the learner-driven vehicle;
and the main control module is used for analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
2. The system of claim 1, further comprising: and the cloud management platform is used for carrying out statistical analysis on the learning results of the students.
3. The system of claim 1, further comprising: and the brake prompting module is composed of camera equipment and a radar and is used for carrying out brake operation when the master control module detects that the automobile body state information and the student driving information trigger a brake condition.
4. The system of claim 1, wherein the positioning module comprises: the system comprises a camera unit, a GPS system and a gyroscope;
the GPS system and the gyroscope are used for positioning the learner-driven vehicle in real time and acquiring the real-time position information;
the camera unit is used for shooting the lane line images around the learner-driven vehicle.
5. The method of claim 1, wherein the point location indicating module comprises 2 light units mounted on a left rear view mirror and a right rear view mirror of the learner-driven vehicle, respectively;
and the lighting unit carries out point location indication according to the real-time position information.
6. The system of claim 1, wherein the sensor acquisition module is further configured to acquire a body state signal of the learner vehicle, the body state information being determined based on the body state signal.
7. The system of claim 1, wherein the main control module is further configured to obtain a learning mode of the trainee;
acquiring a corresponding analysis method based on the learning mode;
and analyzing the vehicle body state information and the trainee driving information by adopting the analysis method based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
8. An intelligent teaching method for driving schools is characterized by comprising the following steps:
acquiring real-time position information of the learner-driven vehicle;
determining a target point location based on the real-time location information;
identifying subject sub-items according to the real-time position information and a preset RFID electronic tag;
collecting the body state information and the trainee driving information of the learner-driven vehicle;
and analyzing the vehicle body state information and the trainee driving information based on the standard driving information corresponding to the subject sub-project to obtain the learning result of the trainee.
9. The method of claim 8, wherein the obtaining real-time location information of the learner-driven vehicle comprises:
acquiring GPS data of the learner-driven vehicle through a GPS-based positioning technology;
acquiring navigation data of the learner-driven vehicle by adopting a vertical gyro navigation algorithm;
preprocessing the GPS data and the navigation data respectively to obtain target GPS data and target navigation data;
and performing feedback correction calculation on the target GPS data and the target navigation data by adopting a Kalman filtering algorithm to obtain the real-time position information.
10. The method of claim 8, wherein determining a target point location based on the real-time location information comprises:
and calculating the target point location of the real-time position information through a preset point location calculation formula.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111667742A (en) * 2020-07-20 2020-09-15 南京智金科技创新服务中心 Intelligent auxiliary training method and system for learner-driven vehicle
CN114056341A (en) * 2021-11-03 2022-02-18 天津五八驾考信息技术有限公司 Driving assistance method, device and storage medium in driving training
CN114078349A (en) * 2021-11-25 2022-02-22 山东万正网络科技有限公司 Driving school simulation teaching method, device, system and storage medium
CN114613230A (en) * 2022-03-28 2022-06-10 北京太合瑞至科技有限公司 Intelligent identification and control method and system for driving training teaching point location
CN116403455A (en) * 2023-06-06 2023-07-07 广州市德赛西威智慧交通技术有限公司 Vehicle control method, device, equipment and storage medium
CN116645848A (en) * 2023-04-17 2023-08-25 武汉未来幻影科技有限公司 Vehicle operation control method and related equipment

Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040167761A1 (en) * 2002-04-05 2004-08-26 Konstantin Sizov Portable in-the-vehicle road simulator
US20060115797A1 (en) * 2004-01-06 2006-06-01 Gray Stuart F Bar codes or radio frequency identification tags on paper currency, checks, credit/debit cards and personal identification
US20070129884A1 (en) * 2005-12-07 2007-06-07 Denso Corporation Car navigation system
EP1804025A2 (en) * 2005-12-28 2007-07-04 Aisin AW Co., Ltd. Route guidance system and route guidance method
CN101211511A (en) * 2006-12-25 2008-07-02 富士通株式会社 Method, apparatus, and computer product for assisting driving training
US20080264241A1 (en) * 2007-04-20 2008-10-30 Lemons Kenneth R System and method for music composition
CN201965803U (en) * 2011-03-04 2011-09-07 山东工商学院 Car yard road driving-assisting instruction system
CN102509491A (en) * 2011-10-17 2012-06-20 荣莘电子科技(上海)有限公司 Region detection system and method of subject two (in driving license test) training and testing site by using LFMC (low frequency magnetic communication)
CN203651611U (en) * 2013-11-19 2014-06-18 浙江吉利汽车研究院有限公司 Vehicle safety lane change assisting device
CN104900112A (en) * 2015-06-17 2015-09-09 重庆大学 Intelligent auxiliary guiding method and system for vehicle driving teaching
CN205003902U (en) * 2015-08-19 2016-01-27 福建凯智信息技术有限公司 Motor vehicle driver skill training electron train system
CN105632293A (en) * 2016-03-29 2016-06-01 北京双安达科技有限公司 Intelligent learner-driven vehicle assisted teaching system and use method thereof
CN105799710A (en) * 2016-03-11 2016-07-27 北京理工大学 Interacting type autonomous instructional car system
CN107945613A (en) * 2018-01-19 2018-04-20 吉首大学 A kind of model of car assisted Driving study
CN108039092A (en) * 2018-01-02 2018-05-15 北京易驾佳信息科技有限公司 Displaying teaching method, device and electronic equipment
CN108053726A (en) * 2018-01-26 2018-05-18 成都杏仁网络科技有限公司 A kind of ramp stopping a train at a target point detecting system for driving school's place practice
CN108700415A (en) * 2016-02-19 2018-10-23 日本先锋公司 Atural object data structure, control device, storage device, control method, program and storage medium
CN108806371A (en) * 2018-08-31 2018-11-13 成都杏仁网络科技有限公司 A kind of intelligent decision method and system based on Driving Test Subject training
US20180330632A1 (en) * 2017-05-10 2018-11-15 Leonard Fonarov Remote Control Trailer Simulator
CN109326180A (en) * 2018-11-12 2019-02-12 上海易点时空网络有限公司 Intelligent road test system and method
CN109801519A (en) * 2017-11-17 2019-05-24 重庆氨伦汽车驾驶技术服务有限公司 A kind of unique guidance method of driving school
CN109920298A (en) * 2019-03-28 2019-06-21 珠海超凡视界科技有限公司 A kind of device and method carrying out subject training based on virtual reality
CN110060538A (en) * 2019-04-08 2019-07-26 上海云之驾科技股份有限公司 Personalized artificial based on historical data modeling intelligently drives training and practices system and method

Patent Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040167761A1 (en) * 2002-04-05 2004-08-26 Konstantin Sizov Portable in-the-vehicle road simulator
US20060115797A1 (en) * 2004-01-06 2006-06-01 Gray Stuart F Bar codes or radio frequency identification tags on paper currency, checks, credit/debit cards and personal identification
US20070129884A1 (en) * 2005-12-07 2007-06-07 Denso Corporation Car navigation system
EP1804025A2 (en) * 2005-12-28 2007-07-04 Aisin AW Co., Ltd. Route guidance system and route guidance method
CN101211511A (en) * 2006-12-25 2008-07-02 富士通株式会社 Method, apparatus, and computer product for assisting driving training
US20080264241A1 (en) * 2007-04-20 2008-10-30 Lemons Kenneth R System and method for music composition
CN201965803U (en) * 2011-03-04 2011-09-07 山东工商学院 Car yard road driving-assisting instruction system
CN102509491A (en) * 2011-10-17 2012-06-20 荣莘电子科技(上海)有限公司 Region detection system and method of subject two (in driving license test) training and testing site by using LFMC (low frequency magnetic communication)
CN203651611U (en) * 2013-11-19 2014-06-18 浙江吉利汽车研究院有限公司 Vehicle safety lane change assisting device
CN104900112A (en) * 2015-06-17 2015-09-09 重庆大学 Intelligent auxiliary guiding method and system for vehicle driving teaching
CN205003902U (en) * 2015-08-19 2016-01-27 福建凯智信息技术有限公司 Motor vehicle driver skill training electron train system
CN108700415A (en) * 2016-02-19 2018-10-23 日本先锋公司 Atural object data structure, control device, storage device, control method, program and storage medium
CN105799710A (en) * 2016-03-11 2016-07-27 北京理工大学 Interacting type autonomous instructional car system
CN105632293A (en) * 2016-03-29 2016-06-01 北京双安达科技有限公司 Intelligent learner-driven vehicle assisted teaching system and use method thereof
US20180330632A1 (en) * 2017-05-10 2018-11-15 Leonard Fonarov Remote Control Trailer Simulator
CN109801519A (en) * 2017-11-17 2019-05-24 重庆氨伦汽车驾驶技术服务有限公司 A kind of unique guidance method of driving school
CN108039092A (en) * 2018-01-02 2018-05-15 北京易驾佳信息科技有限公司 Displaying teaching method, device and electronic equipment
CN107945613A (en) * 2018-01-19 2018-04-20 吉首大学 A kind of model of car assisted Driving study
CN108053726A (en) * 2018-01-26 2018-05-18 成都杏仁网络科技有限公司 A kind of ramp stopping a train at a target point detecting system for driving school's place practice
CN108806371A (en) * 2018-08-31 2018-11-13 成都杏仁网络科技有限公司 A kind of intelligent decision method and system based on Driving Test Subject training
CN109326180A (en) * 2018-11-12 2019-02-12 上海易点时空网络有限公司 Intelligent road test system and method
CN109920298A (en) * 2019-03-28 2019-06-21 珠海超凡视界科技有限公司 A kind of device and method carrying out subject training based on virtual reality
CN110060538A (en) * 2019-04-08 2019-07-26 上海云之驾科技股份有限公司 Personalized artificial based on historical data modeling intelligently drives training and practices system and method

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111667742A (en) * 2020-07-20 2020-09-15 南京智金科技创新服务中心 Intelligent auxiliary training method and system for learner-driven vehicle
CN114056341A (en) * 2021-11-03 2022-02-18 天津五八驾考信息技术有限公司 Driving assistance method, device and storage medium in driving training
CN114056341B (en) * 2021-11-03 2024-01-26 天津五八驾考信息技术有限公司 Driving assistance method, apparatus and storage medium in driving training
CN114078349A (en) * 2021-11-25 2022-02-22 山东万正网络科技有限公司 Driving school simulation teaching method, device, system and storage medium
CN114078349B (en) * 2021-11-25 2024-04-23 山东万正网络科技有限公司 Driving school simulation teaching method, device, system and storage medium
CN114613230A (en) * 2022-03-28 2022-06-10 北京太合瑞至科技有限公司 Intelligent identification and control method and system for driving training teaching point location
CN116645848A (en) * 2023-04-17 2023-08-25 武汉未来幻影科技有限公司 Vehicle operation control method and related equipment
CN116645848B (en) * 2023-04-17 2024-06-11 武汉未来幻影科技有限公司 Vehicle operation control method and related equipment
CN116403455A (en) * 2023-06-06 2023-07-07 广州市德赛西威智慧交通技术有限公司 Vehicle control method, device, equipment and storage medium
CN116403455B (en) * 2023-06-06 2023-09-26 广州市德赛西威智慧交通技术有限公司 Vehicle control method, device, equipment and storage medium

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